F:\Hybrid\64bit\Vapoursynth>vspipe "J:\tmp\2025-04-06@21_14_27_3810\encodingTempSynthSkript_2025-04-06@21_14_27_3810_0.vpy" - --outputindex 0 -c y4m | f:\Hybrid\64bit\NVEncC.exe --y4m -i - --fps 25.000 --codec av1 --sar 1:1 --lookahead 32 --output-depth 10 --vbr 0 --vbr-quality 23.00 --aq --aq-strength 5 --aq-temporal --gop-len 0 --ref 6 --multiref-l0 3 --multiref-l1 3 --bframes 3 --bref-mode auto --no-b-adapt --mv-precision Q-pel --preset quality --colorrange limited --colormatrix smpte170m --colorrange limited --cuda-schedule sync --output "J:\tmp\2025-04-06@21_14_27_3810\input_1_2025-04-06@21_14_27_3810_03.av1"
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J:\tmp\2025-04-06@21_14_27_3810\input_1_2025-04-06@21_14_27_3810_03.av1
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Warning: Unable to import quantization op. Please install modelopt library (https://github.com/NVIDIA/TensorRT-Model-Optimizer?tab=readme-ov-file#installation) to add support for compiling quantized models
Warning: TensorRT-LLM is not installed. Please install TensorRT-LLM or set TRTLLM_PLUGINS_PATH to the directory containing libnvinfer_plugin_tensorrt_llm.so to use converters for torch.distributed ops
y4m: failed to parse y4m header.
failed to initialize file reader(s).
Warning: F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\timm\models\layers\__init__.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers
  warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning)

Warning: F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch_tensorrt\dynamo\utils.py:274: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.detach().clone() or sourceTensor.detach().clone().requires_grad_(True), rather than torch.tensor(sourceTensor).
  torch.tensor(inputs),

Warning: F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\backends\mkldnn\__init__.py:78: UserWarning: TF32 acceleration on top of oneDNN is available for Intel GPUs. The current Torch version does not have Intel GPU Support. (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\aten\src\ATen\Context.cpp:148.)
  torch._C._set_onednn_allow_tf32(_allow_tf32)

Information: Compilation Settings: CompilationSettings(enabled_precisions={<dtype.f32: 7>}, debug=False, workspace_size=1073741824, min_block_size=1, torch_executed_ops=set(), pass_through_build_failures=False, max_aux_streams=None, version_compatible=False, optimization_level=None, use_python_runtime=False, truncate_double=True, use_fast_partitioner=True, enable_experimental_decompositions=False, device=Device(type=DeviceType.GPU, gpu_id=0), require_full_compilation=False, disable_tf32=False, assume_dynamic_shape_support=False, sparse_weights=False, engine_capability=<EngineCapability.STANDARD: 1>, num_avg_timing_iters=1, dla_sram_size=1048576, dla_local_dram_size=1073741824, dla_global_dram_size=536870912, dryrun=False, hardware_compatible=False, timing_cache_path='C:\\Users\\Selur\\AppData\\Local\\Temp\\torch_tensorrt_engine_cache\\timing_cache.bin', lazy_engine_init=False, cache_built_engines=False, reuse_cached_engines=False, use_explicit_typing=False, use_fp32_acc=False, refit_identical_engine_weights=False, strip_engine_weights=False, immutable_weights=True, enable_weight_streaming=False, enable_cross_compile_for_windows=False, use_aot_joint_export=True, tiling_optimization_level='none', l2_limit_for_tiling=-1)

Warning: F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\backends\mkldnn\__init__.py:78: UserWarning: TF32 acceleration on top of oneDNN is available for Intel GPUs. The current Torch version does not have Intel GPU Support. (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\pytorch\aten\src\ATen\Context.cpp:148.)
  torch._C._set_onednn_allow_tf32(_allow_tf32)

Information: Partitioning the graph via the fast partitioner
Warning: F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch_tensorrt\dynamo\utils.py:423: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.detach().clone() or sourceTensor.detach().clone().requires_grad_(True), rather than torch.tensor(sourceTensor).
  return torch.tensor(tensor).dtype

Information: [MemUsageChange] Init CUDA: CPU +5, GPU +0, now: CPU 15059, GPU 2256 (MiB)
Information: [MemUsageChange] Init builder kernel library: CPU +4252, GPU +444, now: CPU 19585, GPU 2700 (MiB)
Information: Converted node input_1 [input_1] (Inputs: () | Outputs: (input_1: (1, 3, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder_in_conv_weight [multiscale_encoder.in_conv.weight] (Inputs: () | Outputs: (multiscale_encoder_in_conv_weight: (128, 3, 4, 4)@float32))
Information: Converted node multiscale_encoder_in_conv_bias [multiscale_encoder.in_conv.bias] (Inputs: () | Outputs: (multiscale_encoder_in_conv_bias: (128,)@float32))
Information: Converted node multiscale_encoder.in_conv/convolution [aten.convolution.default] (Inputs: (input_1: (1, 3, 480, 672)@torch.float32, multiscale_encoder_in_conv_weight: (128, 3, 4, 4)@float32, multiscale_encoder_in_conv_bias: (128,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution: (1, 128, 479, 671)@torch.float32))
Information: Converted node multiscale_encoder_blocks_0_0_weight [multiscale_encoder.blocks.0.0.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_0_weight: (256, 128, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_0_0_bias [multiscale_encoder.blocks.0.0.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_0_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.0.0/convolution_1 [aten.convolution.default] (Inputs: (convolution: (1, 128, 479, 671)@torch.float32, multiscale_encoder_blocks_0_0_weight: (256, 128, 3, 3)@float32, multiscale_encoder_blocks_0_0_bias: (256,)@float32, [2, 2], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_1: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_0_1_conv_0_norm_weight [multiscale_encoder.blocks.0.1.conv.0.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_1_conv_0_norm_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_0_1_conv_0_norm_bias [multiscale_encoder.blocks.0.1.conv.0.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_1_conv_0_norm_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.0.1.conv.0.norm/native_group_norm [aten.native_group_norm.default] (Inputs: (convolution_1: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_0_1_conv_0_norm_weight: (256,)@float32, multiscale_encoder_blocks_0_1_conv_0_norm_bias: (256,)@float32, 1, 256, 80640, 32, 1e-06) | Outputs: (native_group_norm: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.0.1.conv.0.norm/getitem [<built-in function getitem>] (Inputs: (native_group_norm: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.0.1.conv.1.func/sigmoid [aten.sigmoid.default] (Inputs: (getitem: (1, 256, 240, 336)@torch.float32) | Outputs: (sigmoid: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.0.1.conv.1.func/mul [aten.mul.Tensor] (Inputs: (getitem: (1, 256, 240, 336)@torch.float32, sigmoid: (1, 256, 240, 336)@torch.float32) | Outputs: (mul: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_0_1_conv_2_weight [multiscale_encoder.blocks.0.1.conv.2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_1_conv_2_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_0_1_conv_2_bias [multiscale_encoder.blocks.0.1.conv.2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_1_conv_2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.0.1.conv.2/convolution_2 [aten.convolution.default] (Inputs: (mul: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_0_1_conv_2_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_0_1_conv_2_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_2: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_0_1_conv_3_norm_weight [multiscale_encoder.blocks.0.1.conv.3.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_1_conv_3_norm_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_0_1_conv_3_norm_bias [multiscale_encoder.blocks.0.1.conv.3.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_1_conv_3_norm_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.0.1.conv.3.norm/native_group_norm_1 [aten.native_group_norm.default] (Inputs: (convolution_2: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_0_1_conv_3_norm_weight: (256,)@float32, multiscale_encoder_blocks_0_1_conv_3_norm_bias: (256,)@float32, 1, 256, 80640, 32, 1e-06) | Outputs: (native_group_norm_1: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.0.1.conv.3.norm/getitem_3 [<built-in function getitem>] (Inputs: (native_group_norm_1: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_3: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.0.1.conv.4.func/sigmoid_1 [aten.sigmoid.default] (Inputs: (getitem_3: (1, 256, 240, 336)@torch.float32) | Outputs: (sigmoid_1: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.0.1.conv.4.func/mul_1 [aten.mul.Tensor] (Inputs: (getitem_3: (1, 256, 240, 336)@torch.float32, sigmoid_1: (1, 256, 240, 336)@torch.float32) | Outputs: (mul_1: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_0_1_conv_5_weight [multiscale_encoder.blocks.0.1.conv.5.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_1_conv_5_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_0_1_conv_5_bias [multiscale_encoder.blocks.0.1.conv.5.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_1_conv_5_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.0.1.conv.5/convolution_3 [aten.convolution.default] (Inputs: (mul_1: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_0_1_conv_5_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_0_1_conv_5_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_3: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.0.1/add [aten.add.Tensor] (Inputs: (convolution_3: (1, 256, 240, 336)@torch.float32, convolution_1: (1, 256, 240, 336)@torch.float32) | Outputs: (add: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_0_2_conv_0_norm_weight [multiscale_encoder.blocks.0.2.conv.0.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_2_conv_0_norm_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_0_2_conv_0_norm_bias [multiscale_encoder.blocks.0.2.conv.0.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_2_conv_0_norm_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.0.2.conv.0.norm/native_group_norm_2 [aten.native_group_norm.default] (Inputs: (add: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_0_2_conv_0_norm_weight: (256,)@float32, multiscale_encoder_blocks_0_2_conv_0_norm_bias: (256,)@float32, 1, 256, 80640, 32, 1e-06) | Outputs: (native_group_norm_2: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.0.2.conv.0.norm/getitem_6 [<built-in function getitem>] (Inputs: (native_group_norm_2: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_6: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.0.2.conv.1.func/sigmoid_2 [aten.sigmoid.default] (Inputs: (getitem_6: (1, 256, 240, 336)@torch.float32) | Outputs: (sigmoid_2: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.0.2.conv.1.func/mul_2 [aten.mul.Tensor] (Inputs: (getitem_6: (1, 256, 240, 336)@torch.float32, sigmoid_2: (1, 256, 240, 336)@torch.float32) | Outputs: (mul_2: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_0_2_conv_2_weight [multiscale_encoder.blocks.0.2.conv.2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_2_conv_2_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_0_2_conv_2_bias [multiscale_encoder.blocks.0.2.conv.2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_2_conv_2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.0.2.conv.2/convolution_4 [aten.convolution.default] (Inputs: (mul_2: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_0_2_conv_2_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_0_2_conv_2_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_4: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_0_2_conv_3_norm_weight [multiscale_encoder.blocks.0.2.conv.3.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_2_conv_3_norm_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_0_2_conv_3_norm_bias [multiscale_encoder.blocks.0.2.conv.3.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_2_conv_3_norm_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.0.2.conv.3.norm/native_group_norm_3 [aten.native_group_norm.default] (Inputs: (convolution_4: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_0_2_conv_3_norm_weight: (256,)@float32, multiscale_encoder_blocks_0_2_conv_3_norm_bias: (256,)@float32, 1, 256, 80640, 32, 1e-06) | Outputs: (native_group_norm_3: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.0.2.conv.3.norm/getitem_9 [<built-in function getitem>] (Inputs: (native_group_norm_3: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_9: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.0.2.conv.4.func/sigmoid_3 [aten.sigmoid.default] (Inputs: (getitem_9: (1, 256, 240, 336)@torch.float32) | Outputs: (sigmoid_3: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.0.2.conv.4.func/mul_3 [aten.mul.Tensor] (Inputs: (getitem_9: (1, 256, 240, 336)@torch.float32, sigmoid_3: (1, 256, 240, 336)@torch.float32) | Outputs: (mul_3: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_0_2_conv_5_weight [multiscale_encoder.blocks.0.2.conv.5.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_2_conv_5_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_0_2_conv_5_bias [multiscale_encoder.blocks.0.2.conv.5.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_0_2_conv_5_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.0.2.conv.5/convolution_5 [aten.convolution.default] (Inputs: (mul_3: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_0_2_conv_5_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_0_2_conv_5_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_5: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.0.2/add_1 [aten.add.Tensor] (Inputs: (convolution_5: (1, 256, 240, 336)@torch.float32, add: (1, 256, 240, 336)@torch.float32) | Outputs: (add_1: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_1_0_weight [multiscale_encoder.blocks.1.0.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_0_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_1_0_bias [multiscale_encoder.blocks.1.0.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_0_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.1.0/convolution_6 [aten.convolution.default] (Inputs: (add_1: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_1_0_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_1_0_bias: (256,)@float32, [2, 2], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_6: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder_blocks_1_1_conv_0_norm_weight [multiscale_encoder.blocks.1.1.conv.0.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_1_conv_0_norm_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_1_1_conv_0_norm_bias [multiscale_encoder.blocks.1.1.conv.0.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_1_conv_0_norm_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.1.1.conv.0.norm/native_group_norm_4 [aten.native_group_norm.default] (Inputs: (convolution_6: (1, 256, 120, 168)@torch.float32, multiscale_encoder_blocks_1_1_conv_0_norm_weight: (256,)@float32, multiscale_encoder_blocks_1_1_conv_0_norm_bias: (256,)@float32, 1, 256, 20160, 32, 1e-06) | Outputs: (native_group_norm_4: ((1, 256, 120, 168)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.1.1.conv.0.norm/getitem_12 [<built-in function getitem>] (Inputs: (native_group_norm_4: ((1, 256, 120, 168)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_12: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.1.1.conv.1.func/sigmoid_4 [aten.sigmoid.default] (Inputs: (getitem_12: (1, 256, 120, 168)@torch.float32) | Outputs: (sigmoid_4: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.1.1.conv.1.func/mul_4 [aten.mul.Tensor] (Inputs: (getitem_12: (1, 256, 120, 168)@torch.float32, sigmoid_4: (1, 256, 120, 168)@torch.float32) | Outputs: (mul_4: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder_blocks_1_1_conv_2_weight [multiscale_encoder.blocks.1.1.conv.2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_1_conv_2_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_1_1_conv_2_bias [multiscale_encoder.blocks.1.1.conv.2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_1_conv_2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.1.1.conv.2/convolution_7 [aten.convolution.default] (Inputs: (mul_4: (1, 256, 120, 168)@torch.float32, multiscale_encoder_blocks_1_1_conv_2_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_1_1_conv_2_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_7: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder_blocks_1_1_conv_3_norm_weight [multiscale_encoder.blocks.1.1.conv.3.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_1_conv_3_norm_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_1_1_conv_3_norm_bias [multiscale_encoder.blocks.1.1.conv.3.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_1_conv_3_norm_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.1.1.conv.3.norm/native_group_norm_5 [aten.native_group_norm.default] (Inputs: (convolution_7: (1, 256, 120, 168)@torch.float32, multiscale_encoder_blocks_1_1_conv_3_norm_weight: (256,)@float32, multiscale_encoder_blocks_1_1_conv_3_norm_bias: (256,)@float32, 1, 256, 20160, 32, 1e-06) | Outputs: (native_group_norm_5: ((1, 256, 120, 168)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.1.1.conv.3.norm/getitem_15 [<built-in function getitem>] (Inputs: (native_group_norm_5: ((1, 256, 120, 168)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_15: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.1.1.conv.4.func/sigmoid_5 [aten.sigmoid.default] (Inputs: (getitem_15: (1, 256, 120, 168)@torch.float32) | Outputs: (sigmoid_5: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.1.1.conv.4.func/mul_5 [aten.mul.Tensor] (Inputs: (getitem_15: (1, 256, 120, 168)@torch.float32, sigmoid_5: (1, 256, 120, 168)@torch.float32) | Outputs: (mul_5: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder_blocks_1_1_conv_5_weight [multiscale_encoder.blocks.1.1.conv.5.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_1_conv_5_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_1_1_conv_5_bias [multiscale_encoder.blocks.1.1.conv.5.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_1_conv_5_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.1.1.conv.5/convolution_8 [aten.convolution.default] (Inputs: (mul_5: (1, 256, 120, 168)@torch.float32, multiscale_encoder_blocks_1_1_conv_5_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_1_1_conv_5_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_8: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.1.1/add_2 [aten.add.Tensor] (Inputs: (convolution_8: (1, 256, 120, 168)@torch.float32, convolution_6: (1, 256, 120, 168)@torch.float32) | Outputs: (add_2: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder_blocks_1_2_conv_0_norm_weight [multiscale_encoder.blocks.1.2.conv.0.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_2_conv_0_norm_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_1_2_conv_0_norm_bias [multiscale_encoder.blocks.1.2.conv.0.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_2_conv_0_norm_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.1.2.conv.0.norm/native_group_norm_6 [aten.native_group_norm.default] (Inputs: (add_2: (1, 256, 120, 168)@torch.float32, multiscale_encoder_blocks_1_2_conv_0_norm_weight: (256,)@float32, multiscale_encoder_blocks_1_2_conv_0_norm_bias: (256,)@float32, 1, 256, 20160, 32, 1e-06) | Outputs: (native_group_norm_6: ((1, 256, 120, 168)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.1.2.conv.0.norm/getitem_18 [<built-in function getitem>] (Inputs: (native_group_norm_6: ((1, 256, 120, 168)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_18: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.1.2.conv.1.func/sigmoid_6 [aten.sigmoid.default] (Inputs: (getitem_18: (1, 256, 120, 168)@torch.float32) | Outputs: (sigmoid_6: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.1.2.conv.1.func/mul_6 [aten.mul.Tensor] (Inputs: (getitem_18: (1, 256, 120, 168)@torch.float32, sigmoid_6: (1, 256, 120, 168)@torch.float32) | Outputs: (mul_6: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder_blocks_1_2_conv_2_weight [multiscale_encoder.blocks.1.2.conv.2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_2_conv_2_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_1_2_conv_2_bias [multiscale_encoder.blocks.1.2.conv.2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_2_conv_2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.1.2.conv.2/convolution_9 [aten.convolution.default] (Inputs: (mul_6: (1, 256, 120, 168)@torch.float32, multiscale_encoder_blocks_1_2_conv_2_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_1_2_conv_2_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_9: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder_blocks_1_2_conv_3_norm_weight [multiscale_encoder.blocks.1.2.conv.3.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_2_conv_3_norm_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_1_2_conv_3_norm_bias [multiscale_encoder.blocks.1.2.conv.3.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_2_conv_3_norm_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.1.2.conv.3.norm/native_group_norm_7 [aten.native_group_norm.default] (Inputs: (convolution_9: (1, 256, 120, 168)@torch.float32, multiscale_encoder_blocks_1_2_conv_3_norm_weight: (256,)@float32, multiscale_encoder_blocks_1_2_conv_3_norm_bias: (256,)@float32, 1, 256, 20160, 32, 1e-06) | Outputs: (native_group_norm_7: ((1, 256, 120, 168)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.1.2.conv.3.norm/getitem_21 [<built-in function getitem>] (Inputs: (native_group_norm_7: ((1, 256, 120, 168)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_21: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.1.2.conv.4.func/sigmoid_7 [aten.sigmoid.default] (Inputs: (getitem_21: (1, 256, 120, 168)@torch.float32) | Outputs: (sigmoid_7: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.1.2.conv.4.func/mul_7 [aten.mul.Tensor] (Inputs: (getitem_21: (1, 256, 120, 168)@torch.float32, sigmoid_7: (1, 256, 120, 168)@torch.float32) | Outputs: (mul_7: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder_blocks_1_2_conv_5_weight [multiscale_encoder.blocks.1.2.conv.5.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_2_conv_5_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_1_2_conv_5_bias [multiscale_encoder.blocks.1.2.conv.5.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_1_2_conv_5_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.1.2.conv.5/convolution_10 [aten.convolution.default] (Inputs: (mul_7: (1, 256, 120, 168)@torch.float32, multiscale_encoder_blocks_1_2_conv_5_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_1_2_conv_5_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_10: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.1.2/add_3 [aten.add.Tensor] (Inputs: (convolution_10: (1, 256, 120, 168)@torch.float32, add_2: (1, 256, 120, 168)@torch.float32) | Outputs: (add_3: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2/_reshape_copy [aten._reshape_copy.default] (Inputs: (add_3: (1, 256, 120, 168)@torch.float32, [1, 256, 20160]) | Outputs: (_reshape_copy: (1, 256, 20160)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2/permute [aten.permute.default] (Inputs: (_reshape_copy: (1, 256, 20160)@torch.float32, [0, 2, 1]) | Outputs: (permute: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_norm1_weight [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_norm1_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.norm1/native_layer_norm [aten.native_layer_norm.default] (Inputs: (permute: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.norm1/getitem_24 [<built-in function getitem>] (Inputs: (native_layer_norm: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_24: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0/_reshape_copy_1 [aten._reshape_copy.default] (Inputs: (getitem_24: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_1: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0/_reshape_copy_2 [aten._reshape_copy.default] (Inputs: (_reshape_copy_1: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_2: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0/permute_1 [aten.permute.default] (Inputs: (_reshape_copy_2: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_1: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0/clone [aten.clone.default] (Inputs: (permute_1: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0/_reshape_copy_3 [aten._reshape_copy.default] (Inputs: (clone: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_3: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0/_reshape_copy_4 [aten._reshape_copy.default] (Inputs: (_reshape_copy_3: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_4: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn.qkv/_reshape_copy_5 [aten._reshape_copy.default] (Inputs: (_reshape_copy_4: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_5: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn.qkv/_frozen_param0 [_frozen_param0] (Inputs: () | Outputs: (_frozen_param0: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn.qkv/addmm [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_attn_qkv_bias: (768,)@float32, _reshape_copy_5: (20160, 256)@torch.float32, _frozen_param0: (256, 768)@float32) | Outputs: (addmm: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn.qkv/_reshape_copy_6 [aten._reshape_copy.default] (Inputs: (addmm: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_6: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/_reshape_copy_7 [aten._reshape_copy.default] (Inputs: (_reshape_copy_6: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_7: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/permute_3 [aten.permute.default] (Inputs: (_reshape_copy_7: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_3: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/select [aten.select.int] (Inputs: (permute_3: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/select_1 [aten.select.int] (Inputs: (permute_3: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_1: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/select_2 [aten.select.int] (Inputs: (permute_3: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_2: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/mul_8 [aten.mul.Tensor] (Inputs: (select: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_8: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/permute_4 [aten.permute.default] (Inputs: (select_1: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_4: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/expand [aten.expand.default] (Inputs: (mul_8: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/clone_1 [aten.clone.default] (Inputs: (expand: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_1: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/_reshape_copy_8 [aten._reshape_copy.default] (Inputs: (clone_1: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_8: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/expand_1 [aten.expand.default] (Inputs: (permute_4: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_1: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/clone_2 [aten.clone.default] (Inputs: (expand_1: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_2: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/_reshape_copy_9 [aten._reshape_copy.default] (Inputs: (clone_2: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_9: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/bmm [aten.bmm.default] (Inputs: (_reshape_copy_8: (2520, 64, 32)@torch.float32, _reshape_copy_9: (2520, 32, 64)@torch.float32) | Outputs: (bmm: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/_reshape_copy_10 [aten._reshape_copy.default] (Inputs: (bmm: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_10: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/_frozen_param1 [_frozen_param1] (Inputs: () | Outputs: (_frozen_param1: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/add_4 [aten.add.Tensor] (Inputs: (_reshape_copy_10: (315, 8, 64, 64)@torch.float32, _frozen_param1: (1, 8, 64, 64)@float32) | Outputs: (add_4: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/_reshape_copy_13 [aten._reshape_copy.default] (Inputs: (add_4: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_13: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/_frozen_param2 [_frozen_param2] (Inputs: () | Outputs: (_frozen_param2: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/add_5 [aten.add.Tensor] (Inputs: (_reshape_copy_13: (1, 315, 8, 64, 64)@torch.float32, _frozen_param2: (1, 315, 1, 64, 64)@float32) | Outputs: (add_5: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/_reshape_copy_14 [aten._reshape_copy.default] (Inputs: (add_5: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_14: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn.softmax/_softmax [aten._softmax.default] (Inputs: (_reshape_copy_14: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn.attn_drop/clone_4 [aten.clone.default] (Inputs: (_softmax: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_4: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/expand_2 [aten.expand.default] (Inputs: (clone_4: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_2: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/_reshape_copy_15 [aten._reshape_copy.default] (Inputs: (expand_2: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_15: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/expand_3 [aten.expand.default] (Inputs: (select_2: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_3: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/clone_5 [aten.clone.default] (Inputs: (expand_3: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_5: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/_reshape_copy_16 [aten._reshape_copy.default] (Inputs: (clone_5: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_16: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/bmm_1 [aten.bmm.default] (Inputs: (_reshape_copy_15: (2520, 64, 64)@torch.float32, _reshape_copy_16: (2520, 64, 32)@torch.float32) | Outputs: (bmm_1: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/_reshape_copy_17 [aten._reshape_copy.default] (Inputs: (bmm_1: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_17: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/permute_6 [aten.permute.default] (Inputs: (_reshape_copy_17: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_6: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/clone_6 [aten.clone.default] (Inputs: (permute_6: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_6: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn/_reshape_copy_18 [aten._reshape_copy.default] (Inputs: (clone_6: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_18: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn.proj/_reshape_copy_19 [aten._reshape_copy.default] (Inputs: (_reshape_copy_18: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_19: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn.proj/_frozen_param3 [_frozen_param3] (Inputs: () | Outputs: (_frozen_param3: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn.proj/addmm_1 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_attn_proj_bias: (256,)@float32, _reshape_copy_19: (20160, 256)@torch.float32, _frozen_param3: (256, 256)@float32) | Outputs: (addmm_1: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn.proj/_reshape_copy_20 [aten._reshape_copy.default] (Inputs: (addmm_1: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_20: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.attn.proj_drop/clone_7 [aten.clone.default] (Inputs: (_reshape_copy_20: (315, 64, 256)@torch.float32) | Outputs: (clone_7: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0/_reshape_copy_21 [aten._reshape_copy.default] (Inputs: (clone_7: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_21: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0/_reshape_copy_22 [aten._reshape_copy.default] (Inputs: (_reshape_copy_21: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_22: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0/permute_8 [aten.permute.default] (Inputs: (_reshape_copy_22: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_8: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0/clone_8 [aten.clone.default] (Inputs: (permute_8: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_8: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0/_reshape_copy_23 [aten._reshape_copy.default] (Inputs: (clone_8: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_23: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0/_reshape_copy_24 [aten._reshape_copy.default] (Inputs: (_reshape_copy_23: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_24: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0/add_6 [aten.add.Tensor] (Inputs: (permute: (1, 20160, 256)@torch.float32, _reshape_copy_24: (1, 20160, 256)@torch.float32) | Outputs: (add_6: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_norm2_weight [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_norm2_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.norm2/native_layer_norm_1 [aten.native_layer_norm.default] (Inputs: (add_6: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_1: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.norm2/getitem_27 [<built-in function getitem>] (Inputs: (native_layer_norm_1: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_27: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.mlp.fc1/_reshape_copy_25 [aten._reshape_copy.default] (Inputs: (getitem_27: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_25: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.mlp.fc1/_frozen_param4 [_frozen_param4] (Inputs: () | Outputs: (_frozen_param4: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.mlp.fc1/addmm_2 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_mlp_fc1_bias: (1024,)@float32, _reshape_copy_25: (20160, 256)@torch.float32, _frozen_param4: (256, 1024)@float32) | Outputs: (addmm_2: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.mlp.fc1/_reshape_copy_26 [aten._reshape_copy.default] (Inputs: (addmm_2: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_26: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.mlp.act/gelu [aten.gelu.default] (Inputs: (_reshape_copy_26: (1, 20160, 1024)@torch.float32) | Outputs: (gelu: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.mlp.drop/clone_9 [aten.clone.default] (Inputs: (gelu: (1, 20160, 1024)@torch.float32) | Outputs: (clone_9: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.mlp.fc2/_reshape_copy_27 [aten._reshape_copy.default] (Inputs: (clone_9: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_27: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.mlp.fc2/_frozen_param5 [_frozen_param5] (Inputs: () | Outputs: (_frozen_param5: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.mlp.fc2/addmm_3 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_0_mlp_fc2_bias: (256,)@float32, _reshape_copy_27: (20160, 1024)@torch.float32, _frozen_param5: (1024, 256)@float32) | Outputs: (addmm_3: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.mlp.fc2/_reshape_copy_28 [aten._reshape_copy.default] (Inputs: (addmm_3: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_28: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0.mlp.drop/clone_10 [aten.clone.default] (Inputs: (_reshape_copy_28: (1, 20160, 256)@torch.float32) | Outputs: (clone_10: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.0/add_7 [aten.add.Tensor] (Inputs: (add_6: (1, 20160, 256)@torch.float32, clone_10: (1, 20160, 256)@torch.float32) | Outputs: (add_7: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_norm1_weight [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_norm1_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.norm1/native_layer_norm_2 [aten.native_layer_norm.default] (Inputs: (add_7: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_2: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.norm1/getitem_30 [<built-in function getitem>] (Inputs: (native_layer_norm_2: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_30: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/_reshape_copy_29 [aten._reshape_copy.default] (Inputs: (getitem_30: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_29: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/roll [aten.roll.default] (Inputs: (_reshape_copy_29: (1, 120, 168, 256)@torch.float32, [-4, -4], [1, 2]) | Outputs: (roll: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/_reshape_copy_30 [aten._reshape_copy.default] (Inputs: (roll: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_30: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/permute_11 [aten.permute.default] (Inputs: (_reshape_copy_30: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_11: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/clone_11 [aten.clone.default] (Inputs: (permute_11: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_11: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/_reshape_copy_31 [aten._reshape_copy.default] (Inputs: (clone_11: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_31: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/_reshape_copy_32 [aten._reshape_copy.default] (Inputs: (_reshape_copy_31: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_32: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn.qkv/_reshape_copy_33 [aten._reshape_copy.default] (Inputs: (_reshape_copy_32: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_33: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn.qkv/_frozen_param6 [_frozen_param6] (Inputs: () | Outputs: (_frozen_param6: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn.qkv/addmm_4 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_attn_qkv_bias: (768,)@float32, _reshape_copy_33: (20160, 256)@torch.float32, _frozen_param6: (256, 768)@float32) | Outputs: (addmm_4: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn.qkv/_reshape_copy_34 [aten._reshape_copy.default] (Inputs: (addmm_4: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_34: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/_reshape_copy_35 [aten._reshape_copy.default] (Inputs: (_reshape_copy_34: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_35: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/permute_13 [aten.permute.default] (Inputs: (_reshape_copy_35: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_13: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/select_3 [aten.select.int] (Inputs: (permute_13: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_3: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/select_4 [aten.select.int] (Inputs: (permute_13: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_4: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/select_5 [aten.select.int] (Inputs: (permute_13: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_5: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/mul_9 [aten.mul.Tensor] (Inputs: (select_3: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_9: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/permute_14 [aten.permute.default] (Inputs: (select_4: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_14: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/expand_4 [aten.expand.default] (Inputs: (mul_9: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_4: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/clone_12 [aten.clone.default] (Inputs: (expand_4: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_12: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/_reshape_copy_36 [aten._reshape_copy.default] (Inputs: (clone_12: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_36: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/expand_5 [aten.expand.default] (Inputs: (permute_14: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_5: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/clone_13 [aten.clone.default] (Inputs: (expand_5: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_13: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/_reshape_copy_37 [aten._reshape_copy.default] (Inputs: (clone_13: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_37: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/bmm_2 [aten.bmm.default] (Inputs: (_reshape_copy_36: (2520, 64, 32)@torch.float32, _reshape_copy_37: (2520, 32, 64)@torch.float32) | Outputs: (bmm_2: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/_reshape_copy_38 [aten._reshape_copy.default] (Inputs: (bmm_2: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_38: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/_frozen_param7 [_frozen_param7] (Inputs: () | Outputs: (_frozen_param7: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/add_8 [aten.add.Tensor] (Inputs: (_reshape_copy_38: (315, 8, 64, 64)@torch.float32, _frozen_param7: (1, 8, 64, 64)@float32) | Outputs: (add_8: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/_reshape_copy_41 [aten._reshape_copy.default] (Inputs: (add_8: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_41: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/_frozen_param8 [_frozen_param8] (Inputs: () | Outputs: (_frozen_param8: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/add_9 [aten.add.Tensor] (Inputs: (_reshape_copy_41: (1, 315, 8, 64, 64)@torch.float32, _frozen_param8: (1, 315, 1, 64, 64)@float32) | Outputs: (add_9: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/_reshape_copy_42 [aten._reshape_copy.default] (Inputs: (add_9: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_42: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn.softmax/_softmax_1 [aten._softmax.default] (Inputs: (_reshape_copy_42: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_1: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn.attn_drop/clone_15 [aten.clone.default] (Inputs: (_softmax_1: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_15: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/expand_6 [aten.expand.default] (Inputs: (clone_15: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_6: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/_reshape_copy_43 [aten._reshape_copy.default] (Inputs: (expand_6: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_43: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/expand_7 [aten.expand.default] (Inputs: (select_5: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_7: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/clone_16 [aten.clone.default] (Inputs: (expand_7: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_16: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/_reshape_copy_44 [aten._reshape_copy.default] (Inputs: (clone_16: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_44: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/bmm_3 [aten.bmm.default] (Inputs: (_reshape_copy_43: (2520, 64, 64)@torch.float32, _reshape_copy_44: (2520, 64, 32)@torch.float32) | Outputs: (bmm_3: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/_reshape_copy_45 [aten._reshape_copy.default] (Inputs: (bmm_3: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_45: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/permute_16 [aten.permute.default] (Inputs: (_reshape_copy_45: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_16: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/clone_17 [aten.clone.default] (Inputs: (permute_16: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_17: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn/_reshape_copy_46 [aten._reshape_copy.default] (Inputs: (clone_17: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_46: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn.proj/_reshape_copy_47 [aten._reshape_copy.default] (Inputs: (_reshape_copy_46: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_47: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn.proj/_frozen_param9 [_frozen_param9] (Inputs: () | Outputs: (_frozen_param9: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn.proj/addmm_5 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_attn_proj_bias: (256,)@float32, _reshape_copy_47: (20160, 256)@torch.float32, _frozen_param9: (256, 256)@float32) | Outputs: (addmm_5: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn.proj/_reshape_copy_48 [aten._reshape_copy.default] (Inputs: (addmm_5: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_48: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.attn.proj_drop/clone_18 [aten.clone.default] (Inputs: (_reshape_copy_48: (315, 64, 256)@torch.float32) | Outputs: (clone_18: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/_reshape_copy_49 [aten._reshape_copy.default] (Inputs: (clone_18: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_49: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/_reshape_copy_50 [aten._reshape_copy.default] (Inputs: (_reshape_copy_49: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_50: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/permute_18 [aten.permute.default] (Inputs: (_reshape_copy_50: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_18: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/clone_19 [aten.clone.default] (Inputs: (permute_18: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_19: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/_reshape_copy_51 [aten._reshape_copy.default] (Inputs: (clone_19: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_51: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/roll_1 [aten.roll.default] (Inputs: (_reshape_copy_51: (1, 120, 168, 256)@torch.float32, [4, 4], [1, 2]) | Outputs: (roll_1: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/_reshape_copy_52 [aten._reshape_copy.default] (Inputs: (roll_1: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_52: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/add_10 [aten.add.Tensor] (Inputs: (add_7: (1, 20160, 256)@torch.float32, _reshape_copy_52: (1, 20160, 256)@torch.float32) | Outputs: (add_10: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_norm2_weight [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_norm2_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.norm2/native_layer_norm_3 [aten.native_layer_norm.default] (Inputs: (add_10: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_3: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.norm2/getitem_33 [<built-in function getitem>] (Inputs: (native_layer_norm_3: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_33: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.mlp.fc1/_reshape_copy_53 [aten._reshape_copy.default] (Inputs: (getitem_33: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_53: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.mlp.fc1/_frozen_param10 [_frozen_param10] (Inputs: () | Outputs: (_frozen_param10: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.mlp.fc1/addmm_6 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_mlp_fc1_bias: (1024,)@float32, _reshape_copy_53: (20160, 256)@torch.float32, _frozen_param10: (256, 1024)@float32) | Outputs: (addmm_6: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.mlp.fc1/_reshape_copy_54 [aten._reshape_copy.default] (Inputs: (addmm_6: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_54: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.mlp.act/gelu_1 [aten.gelu.default] (Inputs: (_reshape_copy_54: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_1: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.mlp.drop/clone_20 [aten.clone.default] (Inputs: (gelu_1: (1, 20160, 1024)@torch.float32) | Outputs: (clone_20: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.mlp.fc2/_reshape_copy_55 [aten._reshape_copy.default] (Inputs: (clone_20: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_55: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.mlp.fc2/_frozen_param11 [_frozen_param11] (Inputs: () | Outputs: (_frozen_param11: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.mlp.fc2/addmm_7 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_1_mlp_fc2_bias: (256,)@float32, _reshape_copy_55: (20160, 1024)@torch.float32, _frozen_param11: (1024, 256)@float32) | Outputs: (addmm_7: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.mlp.fc2/_reshape_copy_56 [aten._reshape_copy.default] (Inputs: (addmm_7: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_56: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1.mlp.drop/clone_21 [aten.clone.default] (Inputs: (_reshape_copy_56: (1, 20160, 256)@torch.float32) | Outputs: (clone_21: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.1/add_11 [aten.add.Tensor] (Inputs: (add_10: (1, 20160, 256)@torch.float32, clone_21: (1, 20160, 256)@torch.float32) | Outputs: (add_11: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_norm1_weight [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_norm1_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.norm1/native_layer_norm_4 [aten.native_layer_norm.default] (Inputs: (add_11: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_4: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.norm1/getitem_36 [<built-in function getitem>] (Inputs: (native_layer_norm_4: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_36: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2/_reshape_copy_57 [aten._reshape_copy.default] (Inputs: (getitem_36: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_57: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2/_reshape_copy_58 [aten._reshape_copy.default] (Inputs: (_reshape_copy_57: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_58: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2/permute_21 [aten.permute.default] (Inputs: (_reshape_copy_58: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_21: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2/clone_22 [aten.clone.default] (Inputs: (permute_21: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_22: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2/_reshape_copy_59 [aten._reshape_copy.default] (Inputs: (clone_22: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_59: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2/_reshape_copy_60 [aten._reshape_copy.default] (Inputs: (_reshape_copy_59: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_60: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn.qkv/_reshape_copy_61 [aten._reshape_copy.default] (Inputs: (_reshape_copy_60: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_61: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn.qkv/_frozen_param12 [_frozen_param12] (Inputs: () | Outputs: (_frozen_param12: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn.qkv/addmm_8 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_attn_qkv_bias: (768,)@float32, _reshape_copy_61: (20160, 256)@torch.float32, _frozen_param12: (256, 768)@float32) | Outputs: (addmm_8: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn.qkv/_reshape_copy_62 [aten._reshape_copy.default] (Inputs: (addmm_8: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_62: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/_reshape_copy_63 [aten._reshape_copy.default] (Inputs: (_reshape_copy_62: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_63: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/permute_23 [aten.permute.default] (Inputs: (_reshape_copy_63: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_23: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/select_6 [aten.select.int] (Inputs: (permute_23: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_6: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/select_7 [aten.select.int] (Inputs: (permute_23: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_7: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/select_8 [aten.select.int] (Inputs: (permute_23: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_8: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/mul_10 [aten.mul.Tensor] (Inputs: (select_6: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_10: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/permute_24 [aten.permute.default] (Inputs: (select_7: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_24: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/expand_8 [aten.expand.default] (Inputs: (mul_10: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_8: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/clone_23 [aten.clone.default] (Inputs: (expand_8: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_23: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/_reshape_copy_64 [aten._reshape_copy.default] (Inputs: (clone_23: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_64: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/expand_9 [aten.expand.default] (Inputs: (permute_24: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_9: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/clone_24 [aten.clone.default] (Inputs: (expand_9: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_24: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/_reshape_copy_65 [aten._reshape_copy.default] (Inputs: (clone_24: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_65: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/bmm_4 [aten.bmm.default] (Inputs: (_reshape_copy_64: (2520, 64, 32)@torch.float32, _reshape_copy_65: (2520, 32, 64)@torch.float32) | Outputs: (bmm_4: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/_reshape_copy_66 [aten._reshape_copy.default] (Inputs: (bmm_4: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_66: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/_frozen_param13 [_frozen_param13] (Inputs: () | Outputs: (_frozen_param13: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/add_12 [aten.add.Tensor] (Inputs: (_reshape_copy_66: (315, 8, 64, 64)@torch.float32, _frozen_param13: (1, 8, 64, 64)@float32) | Outputs: (add_12: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/_reshape_copy_69 [aten._reshape_copy.default] (Inputs: (add_12: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_69: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/_frozen_param14 [_frozen_param14] (Inputs: () | Outputs: (_frozen_param14: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/add_13 [aten.add.Tensor] (Inputs: (_reshape_copy_69: (1, 315, 8, 64, 64)@torch.float32, _frozen_param14: (1, 315, 1, 64, 64)@float32) | Outputs: (add_13: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/_reshape_copy_70 [aten._reshape_copy.default] (Inputs: (add_13: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_70: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn.softmax/_softmax_2 [aten._softmax.default] (Inputs: (_reshape_copy_70: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_2: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn.attn_drop/clone_26 [aten.clone.default] (Inputs: (_softmax_2: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_26: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/expand_10 [aten.expand.default] (Inputs: (clone_26: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_10: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/_reshape_copy_71 [aten._reshape_copy.default] (Inputs: (expand_10: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_71: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/expand_11 [aten.expand.default] (Inputs: (select_8: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_11: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/clone_27 [aten.clone.default] (Inputs: (expand_11: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_27: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/_reshape_copy_72 [aten._reshape_copy.default] (Inputs: (clone_27: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_72: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/bmm_5 [aten.bmm.default] (Inputs: (_reshape_copy_71: (2520, 64, 64)@torch.float32, _reshape_copy_72: (2520, 64, 32)@torch.float32) | Outputs: (bmm_5: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/_reshape_copy_73 [aten._reshape_copy.default] (Inputs: (bmm_5: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_73: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/permute_26 [aten.permute.default] (Inputs: (_reshape_copy_73: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_26: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/clone_28 [aten.clone.default] (Inputs: (permute_26: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_28: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn/_reshape_copy_74 [aten._reshape_copy.default] (Inputs: (clone_28: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_74: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn.proj/_reshape_copy_75 [aten._reshape_copy.default] (Inputs: (_reshape_copy_74: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_75: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn.proj/_frozen_param15 [_frozen_param15] (Inputs: () | Outputs: (_frozen_param15: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn.proj/addmm_9 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_attn_proj_bias: (256,)@float32, _reshape_copy_75: (20160, 256)@torch.float32, _frozen_param15: (256, 256)@float32) | Outputs: (addmm_9: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn.proj/_reshape_copy_76 [aten._reshape_copy.default] (Inputs: (addmm_9: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_76: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.attn.proj_drop/clone_29 [aten.clone.default] (Inputs: (_reshape_copy_76: (315, 64, 256)@torch.float32) | Outputs: (clone_29: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2/_reshape_copy_77 [aten._reshape_copy.default] (Inputs: (clone_29: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_77: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2/_reshape_copy_78 [aten._reshape_copy.default] (Inputs: (_reshape_copy_77: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_78: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2/permute_28 [aten.permute.default] (Inputs: (_reshape_copy_78: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_28: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2/clone_30 [aten.clone.default] (Inputs: (permute_28: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_30: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2/_reshape_copy_79 [aten._reshape_copy.default] (Inputs: (clone_30: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_79: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2/_reshape_copy_80 [aten._reshape_copy.default] (Inputs: (_reshape_copy_79: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_80: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2/add_14 [aten.add.Tensor] (Inputs: (add_11: (1, 20160, 256)@torch.float32, _reshape_copy_80: (1, 20160, 256)@torch.float32) | Outputs: (add_14: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_norm2_weight [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_norm2_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.norm2/native_layer_norm_5 [aten.native_layer_norm.default] (Inputs: (add_14: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_5: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.norm2/getitem_39 [<built-in function getitem>] (Inputs: (native_layer_norm_5: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_39: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.mlp.fc1/_reshape_copy_81 [aten._reshape_copy.default] (Inputs: (getitem_39: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_81: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.mlp.fc1/_frozen_param16 [_frozen_param16] (Inputs: () | Outputs: (_frozen_param16: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.mlp.fc1/addmm_10 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_mlp_fc1_bias: (1024,)@float32, _reshape_copy_81: (20160, 256)@torch.float32, _frozen_param16: (256, 1024)@float32) | Outputs: (addmm_10: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.mlp.fc1/_reshape_copy_82 [aten._reshape_copy.default] (Inputs: (addmm_10: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_82: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.mlp.act/gelu_2 [aten.gelu.default] (Inputs: (_reshape_copy_82: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_2: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.mlp.drop/clone_31 [aten.clone.default] (Inputs: (gelu_2: (1, 20160, 1024)@torch.float32) | Outputs: (clone_31: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.mlp.fc2/_reshape_copy_83 [aten._reshape_copy.default] (Inputs: (clone_31: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_83: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.mlp.fc2/_frozen_param17 [_frozen_param17] (Inputs: () | Outputs: (_frozen_param17: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.mlp.fc2/addmm_11 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_2_mlp_fc2_bias: (256,)@float32, _reshape_copy_83: (20160, 1024)@torch.float32, _frozen_param17: (1024, 256)@float32) | Outputs: (addmm_11: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.mlp.fc2/_reshape_copy_84 [aten._reshape_copy.default] (Inputs: (addmm_11: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_84: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2.mlp.drop/clone_32 [aten.clone.default] (Inputs: (_reshape_copy_84: (1, 20160, 256)@torch.float32) | Outputs: (clone_32: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.2/add_15 [aten.add.Tensor] (Inputs: (add_14: (1, 20160, 256)@torch.float32, clone_32: (1, 20160, 256)@torch.float32) | Outputs: (add_15: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_norm1_weight [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_norm1_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.norm1/native_layer_norm_6 [aten.native_layer_norm.default] (Inputs: (add_15: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_6: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.norm1/getitem_42 [<built-in function getitem>] (Inputs: (native_layer_norm_6: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_42: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/_reshape_copy_85 [aten._reshape_copy.default] (Inputs: (getitem_42: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_85: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/roll_2 [aten.roll.default] (Inputs: (_reshape_copy_85: (1, 120, 168, 256)@torch.float32, [-4, -4], [1, 2]) | Outputs: (roll_2: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/_reshape_copy_86 [aten._reshape_copy.default] (Inputs: (roll_2: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_86: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/permute_31 [aten.permute.default] (Inputs: (_reshape_copy_86: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_31: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/clone_33 [aten.clone.default] (Inputs: (permute_31: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_33: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/_reshape_copy_87 [aten._reshape_copy.default] (Inputs: (clone_33: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_87: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/_reshape_copy_88 [aten._reshape_copy.default] (Inputs: (_reshape_copy_87: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_88: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn.qkv/_reshape_copy_89 [aten._reshape_copy.default] (Inputs: (_reshape_copy_88: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_89: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn.qkv/_frozen_param18 [_frozen_param18] (Inputs: () | Outputs: (_frozen_param18: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn.qkv/addmm_12 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_attn_qkv_bias: (768,)@float32, _reshape_copy_89: (20160, 256)@torch.float32, _frozen_param18: (256, 768)@float32) | Outputs: (addmm_12: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn.qkv/_reshape_copy_90 [aten._reshape_copy.default] (Inputs: (addmm_12: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_90: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/_reshape_copy_91 [aten._reshape_copy.default] (Inputs: (_reshape_copy_90: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_91: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/permute_33 [aten.permute.default] (Inputs: (_reshape_copy_91: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_33: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/select_9 [aten.select.int] (Inputs: (permute_33: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_9: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/select_10 [aten.select.int] (Inputs: (permute_33: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_10: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/select_11 [aten.select.int] (Inputs: (permute_33: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_11: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/mul_11 [aten.mul.Tensor] (Inputs: (select_9: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_11: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/permute_34 [aten.permute.default] (Inputs: (select_10: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_34: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/expand_12 [aten.expand.default] (Inputs: (mul_11: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_12: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/clone_34 [aten.clone.default] (Inputs: (expand_12: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_34: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/_reshape_copy_92 [aten._reshape_copy.default] (Inputs: (clone_34: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_92: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/expand_13 [aten.expand.default] (Inputs: (permute_34: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_13: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/clone_35 [aten.clone.default] (Inputs: (expand_13: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_35: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/_reshape_copy_93 [aten._reshape_copy.default] (Inputs: (clone_35: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_93: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/bmm_6 [aten.bmm.default] (Inputs: (_reshape_copy_92: (2520, 64, 32)@torch.float32, _reshape_copy_93: (2520, 32, 64)@torch.float32) | Outputs: (bmm_6: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/_reshape_copy_94 [aten._reshape_copy.default] (Inputs: (bmm_6: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_94: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/_frozen_param19 [_frozen_param19] (Inputs: () | Outputs: (_frozen_param19: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/add_16 [aten.add.Tensor] (Inputs: (_reshape_copy_94: (315, 8, 64, 64)@torch.float32, _frozen_param19: (1, 8, 64, 64)@float32) | Outputs: (add_16: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/_reshape_copy_97 [aten._reshape_copy.default] (Inputs: (add_16: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_97: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/_frozen_param20 [_frozen_param20] (Inputs: () | Outputs: (_frozen_param20: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/add_17 [aten.add.Tensor] (Inputs: (_reshape_copy_97: (1, 315, 8, 64, 64)@torch.float32, _frozen_param20: (1, 315, 1, 64, 64)@float32) | Outputs: (add_17: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/_reshape_copy_98 [aten._reshape_copy.default] (Inputs: (add_17: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_98: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn.softmax/_softmax_3 [aten._softmax.default] (Inputs: (_reshape_copy_98: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_3: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn.attn_drop/clone_37 [aten.clone.default] (Inputs: (_softmax_3: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_37: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/expand_14 [aten.expand.default] (Inputs: (clone_37: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_14: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/_reshape_copy_99 [aten._reshape_copy.default] (Inputs: (expand_14: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_99: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/expand_15 [aten.expand.default] (Inputs: (select_11: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_15: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/clone_38 [aten.clone.default] (Inputs: (expand_15: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_38: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/_reshape_copy_100 [aten._reshape_copy.default] (Inputs: (clone_38: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_100: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/bmm_7 [aten.bmm.default] (Inputs: (_reshape_copy_99: (2520, 64, 64)@torch.float32, _reshape_copy_100: (2520, 64, 32)@torch.float32) | Outputs: (bmm_7: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/_reshape_copy_101 [aten._reshape_copy.default] (Inputs: (bmm_7: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_101: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/permute_36 [aten.permute.default] (Inputs: (_reshape_copy_101: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_36: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/clone_39 [aten.clone.default] (Inputs: (permute_36: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_39: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn/_reshape_copy_102 [aten._reshape_copy.default] (Inputs: (clone_39: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_102: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn.proj/_reshape_copy_103 [aten._reshape_copy.default] (Inputs: (_reshape_copy_102: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_103: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn.proj/_frozen_param21 [_frozen_param21] (Inputs: () | Outputs: (_frozen_param21: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn.proj/addmm_13 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_attn_proj_bias: (256,)@float32, _reshape_copy_103: (20160, 256)@torch.float32, _frozen_param21: (256, 256)@float32) | Outputs: (addmm_13: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn.proj/_reshape_copy_104 [aten._reshape_copy.default] (Inputs: (addmm_13: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_104: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.attn.proj_drop/clone_40 [aten.clone.default] (Inputs: (_reshape_copy_104: (315, 64, 256)@torch.float32) | Outputs: (clone_40: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/_reshape_copy_105 [aten._reshape_copy.default] (Inputs: (clone_40: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_105: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/_reshape_copy_106 [aten._reshape_copy.default] (Inputs: (_reshape_copy_105: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_106: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/permute_38 [aten.permute.default] (Inputs: (_reshape_copy_106: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_38: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/clone_41 [aten.clone.default] (Inputs: (permute_38: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_41: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/_reshape_copy_107 [aten._reshape_copy.default] (Inputs: (clone_41: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_107: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/roll_3 [aten.roll.default] (Inputs: (_reshape_copy_107: (1, 120, 168, 256)@torch.float32, [4, 4], [1, 2]) | Outputs: (roll_3: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/_reshape_copy_108 [aten._reshape_copy.default] (Inputs: (roll_3: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_108: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/add_18 [aten.add.Tensor] (Inputs: (add_15: (1, 20160, 256)@torch.float32, _reshape_copy_108: (1, 20160, 256)@torch.float32) | Outputs: (add_18: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_norm2_weight [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_norm2_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.norm2/native_layer_norm_7 [aten.native_layer_norm.default] (Inputs: (add_18: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_7: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.norm2/getitem_45 [<built-in function getitem>] (Inputs: (native_layer_norm_7: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_45: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.mlp.fc1/_reshape_copy_109 [aten._reshape_copy.default] (Inputs: (getitem_45: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_109: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.mlp.fc1/_frozen_param22 [_frozen_param22] (Inputs: () | Outputs: (_frozen_param22: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.mlp.fc1/addmm_14 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_mlp_fc1_bias: (1024,)@float32, _reshape_copy_109: (20160, 256)@torch.float32, _frozen_param22: (256, 1024)@float32) | Outputs: (addmm_14: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.mlp.fc1/_reshape_copy_110 [aten._reshape_copy.default] (Inputs: (addmm_14: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_110: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.mlp.act/gelu_3 [aten.gelu.default] (Inputs: (_reshape_copy_110: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_3: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.mlp.drop/clone_42 [aten.clone.default] (Inputs: (gelu_3: (1, 20160, 1024)@torch.float32) | Outputs: (clone_42: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.mlp.fc2/_reshape_copy_111 [aten._reshape_copy.default] (Inputs: (clone_42: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_111: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.mlp.fc2/_frozen_param23 [_frozen_param23] (Inputs: () | Outputs: (_frozen_param23: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.mlp.fc2/addmm_15 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_3_mlp_fc2_bias: (256,)@float32, _reshape_copy_111: (20160, 1024)@torch.float32, _frozen_param23: (1024, 256)@float32) | Outputs: (addmm_15: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.mlp.fc2/_reshape_copy_112 [aten._reshape_copy.default] (Inputs: (addmm_15: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_112: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3.mlp.drop/clone_43 [aten.clone.default] (Inputs: (_reshape_copy_112: (1, 20160, 256)@torch.float32) | Outputs: (clone_43: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.3/add_19 [aten.add.Tensor] (Inputs: (add_18: (1, 20160, 256)@torch.float32, clone_43: (1, 20160, 256)@torch.float32) | Outputs: (add_19: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_norm1_weight [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_norm1_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.norm1/native_layer_norm_8 [aten.native_layer_norm.default] (Inputs: (add_19: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_8: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.norm1/getitem_48 [<built-in function getitem>] (Inputs: (native_layer_norm_8: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_48: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4/_reshape_copy_113 [aten._reshape_copy.default] (Inputs: (getitem_48: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_113: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4/_reshape_copy_114 [aten._reshape_copy.default] (Inputs: (_reshape_copy_113: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_114: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4/permute_41 [aten.permute.default] (Inputs: (_reshape_copy_114: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_41: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4/clone_44 [aten.clone.default] (Inputs: (permute_41: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_44: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4/_reshape_copy_115 [aten._reshape_copy.default] (Inputs: (clone_44: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_115: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4/_reshape_copy_116 [aten._reshape_copy.default] (Inputs: (_reshape_copy_115: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_116: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn.qkv/_reshape_copy_117 [aten._reshape_copy.default] (Inputs: (_reshape_copy_116: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_117: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn.qkv/_frozen_param24 [_frozen_param24] (Inputs: () | Outputs: (_frozen_param24: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn.qkv/addmm_16 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_attn_qkv_bias: (768,)@float32, _reshape_copy_117: (20160, 256)@torch.float32, _frozen_param24: (256, 768)@float32) | Outputs: (addmm_16: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn.qkv/_reshape_copy_118 [aten._reshape_copy.default] (Inputs: (addmm_16: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_118: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/_reshape_copy_119 [aten._reshape_copy.default] (Inputs: (_reshape_copy_118: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_119: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/permute_43 [aten.permute.default] (Inputs: (_reshape_copy_119: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_43: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/select_12 [aten.select.int] (Inputs: (permute_43: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_12: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/select_13 [aten.select.int] (Inputs: (permute_43: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_13: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/select_14 [aten.select.int] (Inputs: (permute_43: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_14: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/mul_12 [aten.mul.Tensor] (Inputs: (select_12: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_12: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/permute_44 [aten.permute.default] (Inputs: (select_13: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_44: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/expand_16 [aten.expand.default] (Inputs: (mul_12: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_16: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/clone_45 [aten.clone.default] (Inputs: (expand_16: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_45: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/_reshape_copy_120 [aten._reshape_copy.default] (Inputs: (clone_45: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_120: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/expand_17 [aten.expand.default] (Inputs: (permute_44: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_17: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/clone_46 [aten.clone.default] (Inputs: (expand_17: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_46: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/_reshape_copy_121 [aten._reshape_copy.default] (Inputs: (clone_46: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_121: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/bmm_8 [aten.bmm.default] (Inputs: (_reshape_copy_120: (2520, 64, 32)@torch.float32, _reshape_copy_121: (2520, 32, 64)@torch.float32) | Outputs: (bmm_8: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/_reshape_copy_122 [aten._reshape_copy.default] (Inputs: (bmm_8: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_122: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/_frozen_param25 [_frozen_param25] (Inputs: () | Outputs: (_frozen_param25: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/add_20 [aten.add.Tensor] (Inputs: (_reshape_copy_122: (315, 8, 64, 64)@torch.float32, _frozen_param25: (1, 8, 64, 64)@float32) | Outputs: (add_20: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/_reshape_copy_125 [aten._reshape_copy.default] (Inputs: (add_20: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_125: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/_frozen_param26 [_frozen_param26] (Inputs: () | Outputs: (_frozen_param26: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/add_21 [aten.add.Tensor] (Inputs: (_reshape_copy_125: (1, 315, 8, 64, 64)@torch.float32, _frozen_param26: (1, 315, 1, 64, 64)@float32) | Outputs: (add_21: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/_reshape_copy_126 [aten._reshape_copy.default] (Inputs: (add_21: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_126: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn.softmax/_softmax_4 [aten._softmax.default] (Inputs: (_reshape_copy_126: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_4: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn.attn_drop/clone_48 [aten.clone.default] (Inputs: (_softmax_4: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_48: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/expand_18 [aten.expand.default] (Inputs: (clone_48: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_18: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/_reshape_copy_127 [aten._reshape_copy.default] (Inputs: (expand_18: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_127: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/expand_19 [aten.expand.default] (Inputs: (select_14: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_19: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/clone_49 [aten.clone.default] (Inputs: (expand_19: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_49: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/_reshape_copy_128 [aten._reshape_copy.default] (Inputs: (clone_49: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_128: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/bmm_9 [aten.bmm.default] (Inputs: (_reshape_copy_127: (2520, 64, 64)@torch.float32, _reshape_copy_128: (2520, 64, 32)@torch.float32) | Outputs: (bmm_9: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/_reshape_copy_129 [aten._reshape_copy.default] (Inputs: (bmm_9: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_129: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/permute_46 [aten.permute.default] (Inputs: (_reshape_copy_129: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_46: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/clone_50 [aten.clone.default] (Inputs: (permute_46: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_50: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn/_reshape_copy_130 [aten._reshape_copy.default] (Inputs: (clone_50: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_130: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn.proj/_reshape_copy_131 [aten._reshape_copy.default] (Inputs: (_reshape_copy_130: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_131: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn.proj/_frozen_param27 [_frozen_param27] (Inputs: () | Outputs: (_frozen_param27: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn.proj/addmm_17 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_attn_proj_bias: (256,)@float32, _reshape_copy_131: (20160, 256)@torch.float32, _frozen_param27: (256, 256)@float32) | Outputs: (addmm_17: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn.proj/_reshape_copy_132 [aten._reshape_copy.default] (Inputs: (addmm_17: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_132: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.attn.proj_drop/clone_51 [aten.clone.default] (Inputs: (_reshape_copy_132: (315, 64, 256)@torch.float32) | Outputs: (clone_51: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4/_reshape_copy_133 [aten._reshape_copy.default] (Inputs: (clone_51: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_133: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4/_reshape_copy_134 [aten._reshape_copy.default] (Inputs: (_reshape_copy_133: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_134: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4/permute_48 [aten.permute.default] (Inputs: (_reshape_copy_134: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_48: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4/clone_52 [aten.clone.default] (Inputs: (permute_48: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_52: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4/_reshape_copy_135 [aten._reshape_copy.default] (Inputs: (clone_52: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_135: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4/_reshape_copy_136 [aten._reshape_copy.default] (Inputs: (_reshape_copy_135: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_136: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4/add_22 [aten.add.Tensor] (Inputs: (add_19: (1, 20160, 256)@torch.float32, _reshape_copy_136: (1, 20160, 256)@torch.float32) | Outputs: (add_22: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_norm2_weight [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_norm2_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.norm2/native_layer_norm_9 [aten.native_layer_norm.default] (Inputs: (add_22: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_9: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.norm2/getitem_51 [<built-in function getitem>] (Inputs: (native_layer_norm_9: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_51: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.mlp.fc1/_reshape_copy_137 [aten._reshape_copy.default] (Inputs: (getitem_51: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_137: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.mlp.fc1/_frozen_param28 [_frozen_param28] (Inputs: () | Outputs: (_frozen_param28: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.mlp.fc1/addmm_18 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_mlp_fc1_bias: (1024,)@float32, _reshape_copy_137: (20160, 256)@torch.float32, _frozen_param28: (256, 1024)@float32) | Outputs: (addmm_18: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.mlp.fc1/_reshape_copy_138 [aten._reshape_copy.default] (Inputs: (addmm_18: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_138: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.mlp.act/gelu_4 [aten.gelu.default] (Inputs: (_reshape_copy_138: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_4: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.mlp.drop/clone_53 [aten.clone.default] (Inputs: (gelu_4: (1, 20160, 1024)@torch.float32) | Outputs: (clone_53: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.mlp.fc2/_reshape_copy_139 [aten._reshape_copy.default] (Inputs: (clone_53: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_139: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.mlp.fc2/_frozen_param29 [_frozen_param29] (Inputs: () | Outputs: (_frozen_param29: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.mlp.fc2/addmm_19 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_4_mlp_fc2_bias: (256,)@float32, _reshape_copy_139: (20160, 1024)@torch.float32, _frozen_param29: (1024, 256)@float32) | Outputs: (addmm_19: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.mlp.fc2/_reshape_copy_140 [aten._reshape_copy.default] (Inputs: (addmm_19: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_140: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4.mlp.drop/clone_54 [aten.clone.default] (Inputs: (_reshape_copy_140: (1, 20160, 256)@torch.float32) | Outputs: (clone_54: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.4/add_23 [aten.add.Tensor] (Inputs: (add_22: (1, 20160, 256)@torch.float32, clone_54: (1, 20160, 256)@torch.float32) | Outputs: (add_23: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_norm1_weight [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_norm1_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.norm1/native_layer_norm_10 [aten.native_layer_norm.default] (Inputs: (add_23: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_10: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.norm1/getitem_54 [<built-in function getitem>] (Inputs: (native_layer_norm_10: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_54: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/_reshape_copy_141 [aten._reshape_copy.default] (Inputs: (getitem_54: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_141: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/roll_4 [aten.roll.default] (Inputs: (_reshape_copy_141: (1, 120, 168, 256)@torch.float32, [-4, -4], [1, 2]) | Outputs: (roll_4: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/_reshape_copy_142 [aten._reshape_copy.default] (Inputs: (roll_4: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_142: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/permute_51 [aten.permute.default] (Inputs: (_reshape_copy_142: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_51: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/clone_55 [aten.clone.default] (Inputs: (permute_51: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_55: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/_reshape_copy_143 [aten._reshape_copy.default] (Inputs: (clone_55: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_143: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/_reshape_copy_144 [aten._reshape_copy.default] (Inputs: (_reshape_copy_143: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_144: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn.qkv/_reshape_copy_145 [aten._reshape_copy.default] (Inputs: (_reshape_copy_144: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_145: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn.qkv/_frozen_param30 [_frozen_param30] (Inputs: () | Outputs: (_frozen_param30: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn.qkv/addmm_20 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_attn_qkv_bias: (768,)@float32, _reshape_copy_145: (20160, 256)@torch.float32, _frozen_param30: (256, 768)@float32) | Outputs: (addmm_20: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn.qkv/_reshape_copy_146 [aten._reshape_copy.default] (Inputs: (addmm_20: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_146: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/_reshape_copy_147 [aten._reshape_copy.default] (Inputs: (_reshape_copy_146: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_147: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/permute_53 [aten.permute.default] (Inputs: (_reshape_copy_147: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_53: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/select_15 [aten.select.int] (Inputs: (permute_53: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_15: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/select_16 [aten.select.int] (Inputs: (permute_53: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_16: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/select_17 [aten.select.int] (Inputs: (permute_53: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_17: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/mul_13 [aten.mul.Tensor] (Inputs: (select_15: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_13: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/permute_54 [aten.permute.default] (Inputs: (select_16: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_54: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/expand_20 [aten.expand.default] (Inputs: (mul_13: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_20: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/clone_56 [aten.clone.default] (Inputs: (expand_20: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_56: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/_reshape_copy_148 [aten._reshape_copy.default] (Inputs: (clone_56: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_148: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/expand_21 [aten.expand.default] (Inputs: (permute_54: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_21: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/clone_57 [aten.clone.default] (Inputs: (expand_21: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_57: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/_reshape_copy_149 [aten._reshape_copy.default] (Inputs: (clone_57: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_149: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/bmm_10 [aten.bmm.default] (Inputs: (_reshape_copy_148: (2520, 64, 32)@torch.float32, _reshape_copy_149: (2520, 32, 64)@torch.float32) | Outputs: (bmm_10: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/_reshape_copy_150 [aten._reshape_copy.default] (Inputs: (bmm_10: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_150: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/_frozen_param31 [_frozen_param31] (Inputs: () | Outputs: (_frozen_param31: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/add_24 [aten.add.Tensor] (Inputs: (_reshape_copy_150: (315, 8, 64, 64)@torch.float32, _frozen_param31: (1, 8, 64, 64)@float32) | Outputs: (add_24: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/_reshape_copy_153 [aten._reshape_copy.default] (Inputs: (add_24: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_153: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/_frozen_param32 [_frozen_param32] (Inputs: () | Outputs: (_frozen_param32: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/add_25 [aten.add.Tensor] (Inputs: (_reshape_copy_153: (1, 315, 8, 64, 64)@torch.float32, _frozen_param32: (1, 315, 1, 64, 64)@float32) | Outputs: (add_25: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/_reshape_copy_154 [aten._reshape_copy.default] (Inputs: (add_25: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_154: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn.softmax/_softmax_5 [aten._softmax.default] (Inputs: (_reshape_copy_154: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_5: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn.attn_drop/clone_59 [aten.clone.default] (Inputs: (_softmax_5: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_59: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/expand_22 [aten.expand.default] (Inputs: (clone_59: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_22: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/_reshape_copy_155 [aten._reshape_copy.default] (Inputs: (expand_22: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_155: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/expand_23 [aten.expand.default] (Inputs: (select_17: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_23: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/clone_60 [aten.clone.default] (Inputs: (expand_23: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_60: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/_reshape_copy_156 [aten._reshape_copy.default] (Inputs: (clone_60: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_156: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/bmm_11 [aten.bmm.default] (Inputs: (_reshape_copy_155: (2520, 64, 64)@torch.float32, _reshape_copy_156: (2520, 64, 32)@torch.float32) | Outputs: (bmm_11: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/_reshape_copy_157 [aten._reshape_copy.default] (Inputs: (bmm_11: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_157: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/permute_56 [aten.permute.default] (Inputs: (_reshape_copy_157: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_56: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/clone_61 [aten.clone.default] (Inputs: (permute_56: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_61: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn/_reshape_copy_158 [aten._reshape_copy.default] (Inputs: (clone_61: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_158: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn.proj/_reshape_copy_159 [aten._reshape_copy.default] (Inputs: (_reshape_copy_158: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_159: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn.proj/_frozen_param33 [_frozen_param33] (Inputs: () | Outputs: (_frozen_param33: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn.proj/addmm_21 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_attn_proj_bias: (256,)@float32, _reshape_copy_159: (20160, 256)@torch.float32, _frozen_param33: (256, 256)@float32) | Outputs: (addmm_21: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn.proj/_reshape_copy_160 [aten._reshape_copy.default] (Inputs: (addmm_21: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_160: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.attn.proj_drop/clone_62 [aten.clone.default] (Inputs: (_reshape_copy_160: (315, 64, 256)@torch.float32) | Outputs: (clone_62: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/_reshape_copy_161 [aten._reshape_copy.default] (Inputs: (clone_62: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_161: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/_reshape_copy_162 [aten._reshape_copy.default] (Inputs: (_reshape_copy_161: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_162: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/permute_58 [aten.permute.default] (Inputs: (_reshape_copy_162: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_58: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/clone_63 [aten.clone.default] (Inputs: (permute_58: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_63: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/_reshape_copy_163 [aten._reshape_copy.default] (Inputs: (clone_63: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_163: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/roll_5 [aten.roll.default] (Inputs: (_reshape_copy_163: (1, 120, 168, 256)@torch.float32, [4, 4], [1, 2]) | Outputs: (roll_5: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/_reshape_copy_164 [aten._reshape_copy.default] (Inputs: (roll_5: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_164: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/add_26 [aten.add.Tensor] (Inputs: (add_23: (1, 20160, 256)@torch.float32, _reshape_copy_164: (1, 20160, 256)@torch.float32) | Outputs: (add_26: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_norm2_weight [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_norm2_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.norm2/native_layer_norm_11 [aten.native_layer_norm.default] (Inputs: (add_26: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_11: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.norm2/getitem_57 [<built-in function getitem>] (Inputs: (native_layer_norm_11: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_57: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.mlp.fc1/_reshape_copy_165 [aten._reshape_copy.default] (Inputs: (getitem_57: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_165: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.mlp.fc1/_frozen_param34 [_frozen_param34] (Inputs: () | Outputs: (_frozen_param34: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.mlp.fc1/addmm_22 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_mlp_fc1_bias: (1024,)@float32, _reshape_copy_165: (20160, 256)@torch.float32, _frozen_param34: (256, 1024)@float32) | Outputs: (addmm_22: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.mlp.fc1/_reshape_copy_166 [aten._reshape_copy.default] (Inputs: (addmm_22: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_166: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.mlp.act/gelu_5 [aten.gelu.default] (Inputs: (_reshape_copy_166: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_5: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.mlp.drop/clone_64 [aten.clone.default] (Inputs: (gelu_5: (1, 20160, 1024)@torch.float32) | Outputs: (clone_64: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.mlp.fc2/_reshape_copy_167 [aten._reshape_copy.default] (Inputs: (clone_64: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_167: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.mlp.fc2/_frozen_param35 [_frozen_param35] (Inputs: () | Outputs: (_frozen_param35: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.mlp.fc2/addmm_23 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_0_residual_group_blocks_5_mlp_fc2_bias: (256,)@float32, _reshape_copy_167: (20160, 1024)@torch.float32, _frozen_param35: (1024, 256)@float32) | Outputs: (addmm_23: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.mlp.fc2/_reshape_copy_168 [aten._reshape_copy.default] (Inputs: (addmm_23: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_168: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5.mlp.drop/clone_65 [aten.clone.default] (Inputs: (_reshape_copy_168: (1, 20160, 256)@torch.float32) | Outputs: (clone_65: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.residual_group.blocks.5/add_27 [aten.add.Tensor] (Inputs: (add_26: (1, 20160, 256)@torch.float32, clone_65: (1, 20160, 256)@torch.float32) | Outputs: (add_27: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.patch_unembed/permute_61 [aten.permute.default] (Inputs: (add_27: (1, 20160, 256)@torch.float32, [0, 2, 1]) | Outputs: (permute_61: (1, 256, 20160)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.patch_unembed/_reshape_copy_169 [aten._reshape_copy.default] (Inputs: (permute_61: (1, 256, 20160)@torch.float32, [1, 256, 120, 168]) | Outputs: (_reshape_copy_169: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_conv_weight [multiscale_encoder.blocks.2.swin_blks.0.conv.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_conv_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_0_conv_bias [multiscale_encoder.blocks.2.swin_blks.0.conv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_0_conv_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.conv/convolution_11 [aten.convolution.default] (Inputs: (_reshape_copy_169: (1, 256, 120, 168)@torch.float32, multiscale_encoder_blocks_2_swin_blks_0_conv_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_2_swin_blks_0_conv_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_11: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.patch_embed/_reshape_copy_170 [aten._reshape_copy.default] (Inputs: (convolution_11: (1, 256, 120, 168)@torch.float32, [1, 256, 20160]) | Outputs: (_reshape_copy_170: (1, 256, 20160)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0.patch_embed/permute_62 [aten.permute.default] (Inputs: (_reshape_copy_170: (1, 256, 20160)@torch.float32, [0, 2, 1]) | Outputs: (permute_62: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.0/add_28 [aten.add.Tensor] (Inputs: (permute_62: (1, 20160, 256)@torch.float32, permute: (1, 20160, 256)@torch.float32) | Outputs: (add_28: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_norm1_weight [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_norm1_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.norm1/native_layer_norm_12 [aten.native_layer_norm.default] (Inputs: (add_28: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_12: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.norm1/getitem_60 [<built-in function getitem>] (Inputs: (native_layer_norm_12: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_60: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0/_reshape_copy_171 [aten._reshape_copy.default] (Inputs: (getitem_60: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_171: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0/_reshape_copy_172 [aten._reshape_copy.default] (Inputs: (_reshape_copy_171: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_172: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0/permute_63 [aten.permute.default] (Inputs: (_reshape_copy_172: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_63: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0/clone_66 [aten.clone.default] (Inputs: (permute_63: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_66: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0/_reshape_copy_173 [aten._reshape_copy.default] (Inputs: (clone_66: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_173: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0/_reshape_copy_174 [aten._reshape_copy.default] (Inputs: (_reshape_copy_173: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_174: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn.qkv/_reshape_copy_175 [aten._reshape_copy.default] (Inputs: (_reshape_copy_174: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_175: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn.qkv/_frozen_param36 [_frozen_param36] (Inputs: () | Outputs: (_frozen_param36: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn.qkv/addmm_24 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_attn_qkv_bias: (768,)@float32, _reshape_copy_175: (20160, 256)@torch.float32, _frozen_param36: (256, 768)@float32) | Outputs: (addmm_24: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn.qkv/_reshape_copy_176 [aten._reshape_copy.default] (Inputs: (addmm_24: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_176: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/_reshape_copy_177 [aten._reshape_copy.default] (Inputs: (_reshape_copy_176: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_177: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/permute_65 [aten.permute.default] (Inputs: (_reshape_copy_177: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_65: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/select_18 [aten.select.int] (Inputs: (permute_65: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_18: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/select_19 [aten.select.int] (Inputs: (permute_65: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_19: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/select_20 [aten.select.int] (Inputs: (permute_65: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_20: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/mul_14 [aten.mul.Tensor] (Inputs: (select_18: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_14: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/permute_66 [aten.permute.default] (Inputs: (select_19: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_66: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/expand_24 [aten.expand.default] (Inputs: (mul_14: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_24: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/clone_67 [aten.clone.default] (Inputs: (expand_24: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_67: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/_reshape_copy_178 [aten._reshape_copy.default] (Inputs: (clone_67: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_178: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/expand_25 [aten.expand.default] (Inputs: (permute_66: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_25: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/clone_68 [aten.clone.default] (Inputs: (expand_25: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_68: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/_reshape_copy_179 [aten._reshape_copy.default] (Inputs: (clone_68: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_179: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/bmm_12 [aten.bmm.default] (Inputs: (_reshape_copy_178: (2520, 64, 32)@torch.float32, _reshape_copy_179: (2520, 32, 64)@torch.float32) | Outputs: (bmm_12: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/_reshape_copy_180 [aten._reshape_copy.default] (Inputs: (bmm_12: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_180: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/_frozen_param37 [_frozen_param37] (Inputs: () | Outputs: (_frozen_param37: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/add_29 [aten.add.Tensor] (Inputs: (_reshape_copy_180: (315, 8, 64, 64)@torch.float32, _frozen_param37: (1, 8, 64, 64)@float32) | Outputs: (add_29: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/_reshape_copy_183 [aten._reshape_copy.default] (Inputs: (add_29: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_183: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/_frozen_param38 [_frozen_param38] (Inputs: () | Outputs: (_frozen_param38: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/add_30 [aten.add.Tensor] (Inputs: (_reshape_copy_183: (1, 315, 8, 64, 64)@torch.float32, _frozen_param38: (1, 315, 1, 64, 64)@float32) | Outputs: (add_30: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/_reshape_copy_184 [aten._reshape_copy.default] (Inputs: (add_30: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_184: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn.softmax/_softmax_6 [aten._softmax.default] (Inputs: (_reshape_copy_184: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_6: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn.attn_drop/clone_70 [aten.clone.default] (Inputs: (_softmax_6: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_70: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/expand_26 [aten.expand.default] (Inputs: (clone_70: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_26: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/_reshape_copy_185 [aten._reshape_copy.default] (Inputs: (expand_26: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_185: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/expand_27 [aten.expand.default] (Inputs: (select_20: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_27: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/clone_71 [aten.clone.default] (Inputs: (expand_27: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_71: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/_reshape_copy_186 [aten._reshape_copy.default] (Inputs: (clone_71: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_186: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/bmm_13 [aten.bmm.default] (Inputs: (_reshape_copy_185: (2520, 64, 64)@torch.float32, _reshape_copy_186: (2520, 64, 32)@torch.float32) | Outputs: (bmm_13: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/_reshape_copy_187 [aten._reshape_copy.default] (Inputs: (bmm_13: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_187: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/permute_68 [aten.permute.default] (Inputs: (_reshape_copy_187: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_68: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/clone_72 [aten.clone.default] (Inputs: (permute_68: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_72: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn/_reshape_copy_188 [aten._reshape_copy.default] (Inputs: (clone_72: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_188: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn.proj/_reshape_copy_189 [aten._reshape_copy.default] (Inputs: (_reshape_copy_188: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_189: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn.proj/_frozen_param39 [_frozen_param39] (Inputs: () | Outputs: (_frozen_param39: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn.proj/addmm_25 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_attn_proj_bias: (256,)@float32, _reshape_copy_189: (20160, 256)@torch.float32, _frozen_param39: (256, 256)@float32) | Outputs: (addmm_25: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn.proj/_reshape_copy_190 [aten._reshape_copy.default] (Inputs: (addmm_25: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_190: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.attn.proj_drop/clone_73 [aten.clone.default] (Inputs: (_reshape_copy_190: (315, 64, 256)@torch.float32) | Outputs: (clone_73: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0/_reshape_copy_191 [aten._reshape_copy.default] (Inputs: (clone_73: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_191: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0/_reshape_copy_192 [aten._reshape_copy.default] (Inputs: (_reshape_copy_191: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_192: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0/permute_70 [aten.permute.default] (Inputs: (_reshape_copy_192: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_70: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0/clone_74 [aten.clone.default] (Inputs: (permute_70: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_74: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0/_reshape_copy_193 [aten._reshape_copy.default] (Inputs: (clone_74: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_193: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0/_reshape_copy_194 [aten._reshape_copy.default] (Inputs: (_reshape_copy_193: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_194: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0/add_31 [aten.add.Tensor] (Inputs: (add_28: (1, 20160, 256)@torch.float32, _reshape_copy_194: (1, 20160, 256)@torch.float32) | Outputs: (add_31: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_norm2_weight [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_norm2_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.norm2/native_layer_norm_13 [aten.native_layer_norm.default] (Inputs: (add_31: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_13: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.norm2/getitem_63 [<built-in function getitem>] (Inputs: (native_layer_norm_13: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_63: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.mlp.fc1/_reshape_copy_195 [aten._reshape_copy.default] (Inputs: (getitem_63: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_195: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.mlp.fc1/_frozen_param40 [_frozen_param40] (Inputs: () | Outputs: (_frozen_param40: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.mlp.fc1/addmm_26 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_mlp_fc1_bias: (1024,)@float32, _reshape_copy_195: (20160, 256)@torch.float32, _frozen_param40: (256, 1024)@float32) | Outputs: (addmm_26: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.mlp.fc1/_reshape_copy_196 [aten._reshape_copy.default] (Inputs: (addmm_26: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_196: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.mlp.act/gelu_6 [aten.gelu.default] (Inputs: (_reshape_copy_196: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_6: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.mlp.drop/clone_75 [aten.clone.default] (Inputs: (gelu_6: (1, 20160, 1024)@torch.float32) | Outputs: (clone_75: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.mlp.fc2/_reshape_copy_197 [aten._reshape_copy.default] (Inputs: (clone_75: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_197: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.mlp.fc2/_frozen_param41 [_frozen_param41] (Inputs: () | Outputs: (_frozen_param41: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.mlp.fc2/addmm_27 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_0_mlp_fc2_bias: (256,)@float32, _reshape_copy_197: (20160, 1024)@torch.float32, _frozen_param41: (1024, 256)@float32) | Outputs: (addmm_27: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.mlp.fc2/_reshape_copy_198 [aten._reshape_copy.default] (Inputs: (addmm_27: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_198: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0.mlp.drop/clone_76 [aten.clone.default] (Inputs: (_reshape_copy_198: (1, 20160, 256)@torch.float32) | Outputs: (clone_76: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.0/add_32 [aten.add.Tensor] (Inputs: (add_31: (1, 20160, 256)@torch.float32, clone_76: (1, 20160, 256)@torch.float32) | Outputs: (add_32: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_norm1_weight [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_norm1_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.norm1/native_layer_norm_14 [aten.native_layer_norm.default] (Inputs: (add_32: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_14: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.norm1/getitem_66 [<built-in function getitem>] (Inputs: (native_layer_norm_14: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_66: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/_reshape_copy_199 [aten._reshape_copy.default] (Inputs: (getitem_66: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_199: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/roll_6 [aten.roll.default] (Inputs: (_reshape_copy_199: (1, 120, 168, 256)@torch.float32, [-4, -4], [1, 2]) | Outputs: (roll_6: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/_reshape_copy_200 [aten._reshape_copy.default] (Inputs: (roll_6: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_200: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/permute_73 [aten.permute.default] (Inputs: (_reshape_copy_200: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_73: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/clone_77 [aten.clone.default] (Inputs: (permute_73: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_77: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/_reshape_copy_201 [aten._reshape_copy.default] (Inputs: (clone_77: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_201: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/_reshape_copy_202 [aten._reshape_copy.default] (Inputs: (_reshape_copy_201: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_202: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn.qkv/_reshape_copy_203 [aten._reshape_copy.default] (Inputs: (_reshape_copy_202: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_203: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn.qkv/_frozen_param42 [_frozen_param42] (Inputs: () | Outputs: (_frozen_param42: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn.qkv/addmm_28 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_attn_qkv_bias: (768,)@float32, _reshape_copy_203: (20160, 256)@torch.float32, _frozen_param42: (256, 768)@float32) | Outputs: (addmm_28: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn.qkv/_reshape_copy_204 [aten._reshape_copy.default] (Inputs: (addmm_28: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_204: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/_reshape_copy_205 [aten._reshape_copy.default] (Inputs: (_reshape_copy_204: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_205: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/permute_75 [aten.permute.default] (Inputs: (_reshape_copy_205: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_75: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/select_21 [aten.select.int] (Inputs: (permute_75: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_21: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/select_22 [aten.select.int] (Inputs: (permute_75: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_22: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/select_23 [aten.select.int] (Inputs: (permute_75: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_23: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/mul_15 [aten.mul.Tensor] (Inputs: (select_21: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_15: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/permute_76 [aten.permute.default] (Inputs: (select_22: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_76: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/expand_28 [aten.expand.default] (Inputs: (mul_15: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_28: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/clone_78 [aten.clone.default] (Inputs: (expand_28: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_78: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/_reshape_copy_206 [aten._reshape_copy.default] (Inputs: (clone_78: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_206: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/expand_29 [aten.expand.default] (Inputs: (permute_76: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_29: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/clone_79 [aten.clone.default] (Inputs: (expand_29: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_79: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/_reshape_copy_207 [aten._reshape_copy.default] (Inputs: (clone_79: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_207: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/bmm_14 [aten.bmm.default] (Inputs: (_reshape_copy_206: (2520, 64, 32)@torch.float32, _reshape_copy_207: (2520, 32, 64)@torch.float32) | Outputs: (bmm_14: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/_reshape_copy_208 [aten._reshape_copy.default] (Inputs: (bmm_14: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_208: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/_frozen_param43 [_frozen_param43] (Inputs: () | Outputs: (_frozen_param43: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/add_33 [aten.add.Tensor] (Inputs: (_reshape_copy_208: (315, 8, 64, 64)@torch.float32, _frozen_param43: (1, 8, 64, 64)@float32) | Outputs: (add_33: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/_reshape_copy_211 [aten._reshape_copy.default] (Inputs: (add_33: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_211: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/_frozen_param44 [_frozen_param44] (Inputs: () | Outputs: (_frozen_param44: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/add_34 [aten.add.Tensor] (Inputs: (_reshape_copy_211: (1, 315, 8, 64, 64)@torch.float32, _frozen_param44: (1, 315, 1, 64, 64)@float32) | Outputs: (add_34: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/_reshape_copy_212 [aten._reshape_copy.default] (Inputs: (add_34: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_212: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn.softmax/_softmax_7 [aten._softmax.default] (Inputs: (_reshape_copy_212: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_7: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn.attn_drop/clone_81 [aten.clone.default] (Inputs: (_softmax_7: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_81: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/expand_30 [aten.expand.default] (Inputs: (clone_81: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_30: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/_reshape_copy_213 [aten._reshape_copy.default] (Inputs: (expand_30: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_213: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/expand_31 [aten.expand.default] (Inputs: (select_23: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_31: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/clone_82 [aten.clone.default] (Inputs: (expand_31: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_82: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/_reshape_copy_214 [aten._reshape_copy.default] (Inputs: (clone_82: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_214: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/bmm_15 [aten.bmm.default] (Inputs: (_reshape_copy_213: (2520, 64, 64)@torch.float32, _reshape_copy_214: (2520, 64, 32)@torch.float32) | Outputs: (bmm_15: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/_reshape_copy_215 [aten._reshape_copy.default] (Inputs: (bmm_15: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_215: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/permute_78 [aten.permute.default] (Inputs: (_reshape_copy_215: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_78: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/clone_83 [aten.clone.default] (Inputs: (permute_78: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_83: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn/_reshape_copy_216 [aten._reshape_copy.default] (Inputs: (clone_83: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_216: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn.proj/_reshape_copy_217 [aten._reshape_copy.default] (Inputs: (_reshape_copy_216: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_217: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn.proj/_frozen_param45 [_frozen_param45] (Inputs: () | Outputs: (_frozen_param45: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn.proj/addmm_29 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_attn_proj_bias: (256,)@float32, _reshape_copy_217: (20160, 256)@torch.float32, _frozen_param45: (256, 256)@float32) | Outputs: (addmm_29: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn.proj/_reshape_copy_218 [aten._reshape_copy.default] (Inputs: (addmm_29: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_218: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.attn.proj_drop/clone_84 [aten.clone.default] (Inputs: (_reshape_copy_218: (315, 64, 256)@torch.float32) | Outputs: (clone_84: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/_reshape_copy_219 [aten._reshape_copy.default] (Inputs: (clone_84: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_219: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/_reshape_copy_220 [aten._reshape_copy.default] (Inputs: (_reshape_copy_219: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_220: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/permute_80 [aten.permute.default] (Inputs: (_reshape_copy_220: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_80: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/clone_85 [aten.clone.default] (Inputs: (permute_80: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_85: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/_reshape_copy_221 [aten._reshape_copy.default] (Inputs: (clone_85: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_221: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/roll_7 [aten.roll.default] (Inputs: (_reshape_copy_221: (1, 120, 168, 256)@torch.float32, [4, 4], [1, 2]) | Outputs: (roll_7: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/_reshape_copy_222 [aten._reshape_copy.default] (Inputs: (roll_7: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_222: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/add_35 [aten.add.Tensor] (Inputs: (add_32: (1, 20160, 256)@torch.float32, _reshape_copy_222: (1, 20160, 256)@torch.float32) | Outputs: (add_35: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_norm2_weight [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_norm2_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.norm2/native_layer_norm_15 [aten.native_layer_norm.default] (Inputs: (add_35: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_15: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.norm2/getitem_69 [<built-in function getitem>] (Inputs: (native_layer_norm_15: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_69: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.mlp.fc1/_reshape_copy_223 [aten._reshape_copy.default] (Inputs: (getitem_69: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_223: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.mlp.fc1/_frozen_param46 [_frozen_param46] (Inputs: () | Outputs: (_frozen_param46: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.mlp.fc1/addmm_30 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_mlp_fc1_bias: (1024,)@float32, _reshape_copy_223: (20160, 256)@torch.float32, _frozen_param46: (256, 1024)@float32) | Outputs: (addmm_30: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.mlp.fc1/_reshape_copy_224 [aten._reshape_copy.default] (Inputs: (addmm_30: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_224: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.mlp.act/gelu_7 [aten.gelu.default] (Inputs: (_reshape_copy_224: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_7: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.mlp.drop/clone_86 [aten.clone.default] (Inputs: (gelu_7: (1, 20160, 1024)@torch.float32) | Outputs: (clone_86: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.mlp.fc2/_reshape_copy_225 [aten._reshape_copy.default] (Inputs: (clone_86: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_225: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.mlp.fc2/_frozen_param47 [_frozen_param47] (Inputs: () | Outputs: (_frozen_param47: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.mlp.fc2/addmm_31 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_1_mlp_fc2_bias: (256,)@float32, _reshape_copy_225: (20160, 1024)@torch.float32, _frozen_param47: (1024, 256)@float32) | Outputs: (addmm_31: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.mlp.fc2/_reshape_copy_226 [aten._reshape_copy.default] (Inputs: (addmm_31: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_226: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1.mlp.drop/clone_87 [aten.clone.default] (Inputs: (_reshape_copy_226: (1, 20160, 256)@torch.float32) | Outputs: (clone_87: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.1/add_36 [aten.add.Tensor] (Inputs: (add_35: (1, 20160, 256)@torch.float32, clone_87: (1, 20160, 256)@torch.float32) | Outputs: (add_36: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_norm1_weight [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_norm1_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.norm1/native_layer_norm_16 [aten.native_layer_norm.default] (Inputs: (add_36: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_16: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.norm1/getitem_72 [<built-in function getitem>] (Inputs: (native_layer_norm_16: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_72: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2/_reshape_copy_227 [aten._reshape_copy.default] (Inputs: (getitem_72: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_227: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2/_reshape_copy_228 [aten._reshape_copy.default] (Inputs: (_reshape_copy_227: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_228: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2/permute_83 [aten.permute.default] (Inputs: (_reshape_copy_228: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_83: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2/clone_88 [aten.clone.default] (Inputs: (permute_83: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_88: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2/_reshape_copy_229 [aten._reshape_copy.default] (Inputs: (clone_88: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_229: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2/_reshape_copy_230 [aten._reshape_copy.default] (Inputs: (_reshape_copy_229: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_230: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn.qkv/_reshape_copy_231 [aten._reshape_copy.default] (Inputs: (_reshape_copy_230: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_231: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn.qkv/_frozen_param48 [_frozen_param48] (Inputs: () | Outputs: (_frozen_param48: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn.qkv/addmm_32 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_attn_qkv_bias: (768,)@float32, _reshape_copy_231: (20160, 256)@torch.float32, _frozen_param48: (256, 768)@float32) | Outputs: (addmm_32: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn.qkv/_reshape_copy_232 [aten._reshape_copy.default] (Inputs: (addmm_32: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_232: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/_reshape_copy_233 [aten._reshape_copy.default] (Inputs: (_reshape_copy_232: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_233: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/permute_85 [aten.permute.default] (Inputs: (_reshape_copy_233: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_85: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/select_24 [aten.select.int] (Inputs: (permute_85: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_24: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/select_25 [aten.select.int] (Inputs: (permute_85: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_25: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/select_26 [aten.select.int] (Inputs: (permute_85: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_26: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/mul_16 [aten.mul.Tensor] (Inputs: (select_24: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_16: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/permute_86 [aten.permute.default] (Inputs: (select_25: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_86: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/expand_32 [aten.expand.default] (Inputs: (mul_16: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_32: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/clone_89 [aten.clone.default] (Inputs: (expand_32: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_89: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/_reshape_copy_234 [aten._reshape_copy.default] (Inputs: (clone_89: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_234: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/expand_33 [aten.expand.default] (Inputs: (permute_86: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_33: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/clone_90 [aten.clone.default] (Inputs: (expand_33: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_90: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/_reshape_copy_235 [aten._reshape_copy.default] (Inputs: (clone_90: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_235: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/bmm_16 [aten.bmm.default] (Inputs: (_reshape_copy_234: (2520, 64, 32)@torch.float32, _reshape_copy_235: (2520, 32, 64)@torch.float32) | Outputs: (bmm_16: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/_reshape_copy_236 [aten._reshape_copy.default] (Inputs: (bmm_16: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_236: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/_frozen_param49 [_frozen_param49] (Inputs: () | Outputs: (_frozen_param49: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/add_37 [aten.add.Tensor] (Inputs: (_reshape_copy_236: (315, 8, 64, 64)@torch.float32, _frozen_param49: (1, 8, 64, 64)@float32) | Outputs: (add_37: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/_reshape_copy_239 [aten._reshape_copy.default] (Inputs: (add_37: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_239: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/_frozen_param50 [_frozen_param50] (Inputs: () | Outputs: (_frozen_param50: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/add_38 [aten.add.Tensor] (Inputs: (_reshape_copy_239: (1, 315, 8, 64, 64)@torch.float32, _frozen_param50: (1, 315, 1, 64, 64)@float32) | Outputs: (add_38: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/_reshape_copy_240 [aten._reshape_copy.default] (Inputs: (add_38: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_240: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn.softmax/_softmax_8 [aten._softmax.default] (Inputs: (_reshape_copy_240: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_8: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn.attn_drop/clone_92 [aten.clone.default] (Inputs: (_softmax_8: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_92: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/expand_34 [aten.expand.default] (Inputs: (clone_92: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_34: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/_reshape_copy_241 [aten._reshape_copy.default] (Inputs: (expand_34: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_241: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/expand_35 [aten.expand.default] (Inputs: (select_26: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_35: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/clone_93 [aten.clone.default] (Inputs: (expand_35: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_93: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/_reshape_copy_242 [aten._reshape_copy.default] (Inputs: (clone_93: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_242: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/bmm_17 [aten.bmm.default] (Inputs: (_reshape_copy_241: (2520, 64, 64)@torch.float32, _reshape_copy_242: (2520, 64, 32)@torch.float32) | Outputs: (bmm_17: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/_reshape_copy_243 [aten._reshape_copy.default] (Inputs: (bmm_17: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_243: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/permute_88 [aten.permute.default] (Inputs: (_reshape_copy_243: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_88: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/clone_94 [aten.clone.default] (Inputs: (permute_88: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_94: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn/_reshape_copy_244 [aten._reshape_copy.default] (Inputs: (clone_94: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_244: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn.proj/_reshape_copy_245 [aten._reshape_copy.default] (Inputs: (_reshape_copy_244: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_245: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn.proj/_frozen_param51 [_frozen_param51] (Inputs: () | Outputs: (_frozen_param51: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn.proj/addmm_33 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_attn_proj_bias: (256,)@float32, _reshape_copy_245: (20160, 256)@torch.float32, _frozen_param51: (256, 256)@float32) | Outputs: (addmm_33: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn.proj/_reshape_copy_246 [aten._reshape_copy.default] (Inputs: (addmm_33: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_246: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.attn.proj_drop/clone_95 [aten.clone.default] (Inputs: (_reshape_copy_246: (315, 64, 256)@torch.float32) | Outputs: (clone_95: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2/_reshape_copy_247 [aten._reshape_copy.default] (Inputs: (clone_95: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_247: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2/_reshape_copy_248 [aten._reshape_copy.default] (Inputs: (_reshape_copy_247: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_248: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2/permute_90 [aten.permute.default] (Inputs: (_reshape_copy_248: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_90: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2/clone_96 [aten.clone.default] (Inputs: (permute_90: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_96: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2/_reshape_copy_249 [aten._reshape_copy.default] (Inputs: (clone_96: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_249: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2/_reshape_copy_250 [aten._reshape_copy.default] (Inputs: (_reshape_copy_249: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_250: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2/add_39 [aten.add.Tensor] (Inputs: (add_36: (1, 20160, 256)@torch.float32, _reshape_copy_250: (1, 20160, 256)@torch.float32) | Outputs: (add_39: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_norm2_weight [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_norm2_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.norm2/native_layer_norm_17 [aten.native_layer_norm.default] (Inputs: (add_39: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_17: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.norm2/getitem_75 [<built-in function getitem>] (Inputs: (native_layer_norm_17: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_75: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.mlp.fc1/_reshape_copy_251 [aten._reshape_copy.default] (Inputs: (getitem_75: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_251: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.mlp.fc1/_frozen_param52 [_frozen_param52] (Inputs: () | Outputs: (_frozen_param52: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.mlp.fc1/addmm_34 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_mlp_fc1_bias: (1024,)@float32, _reshape_copy_251: (20160, 256)@torch.float32, _frozen_param52: (256, 1024)@float32) | Outputs: (addmm_34: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.mlp.fc1/_reshape_copy_252 [aten._reshape_copy.default] (Inputs: (addmm_34: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_252: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.mlp.act/gelu_8 [aten.gelu.default] (Inputs: (_reshape_copy_252: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_8: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.mlp.drop/clone_97 [aten.clone.default] (Inputs: (gelu_8: (1, 20160, 1024)@torch.float32) | Outputs: (clone_97: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.mlp.fc2/_reshape_copy_253 [aten._reshape_copy.default] (Inputs: (clone_97: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_253: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.mlp.fc2/_frozen_param53 [_frozen_param53] (Inputs: () | Outputs: (_frozen_param53: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.mlp.fc2/addmm_35 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_2_mlp_fc2_bias: (256,)@float32, _reshape_copy_253: (20160, 1024)@torch.float32, _frozen_param53: (1024, 256)@float32) | Outputs: (addmm_35: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.mlp.fc2/_reshape_copy_254 [aten._reshape_copy.default] (Inputs: (addmm_35: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_254: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2.mlp.drop/clone_98 [aten.clone.default] (Inputs: (_reshape_copy_254: (1, 20160, 256)@torch.float32) | Outputs: (clone_98: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.2/add_40 [aten.add.Tensor] (Inputs: (add_39: (1, 20160, 256)@torch.float32, clone_98: (1, 20160, 256)@torch.float32) | Outputs: (add_40: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_norm1_weight [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_norm1_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.norm1/native_layer_norm_18 [aten.native_layer_norm.default] (Inputs: (add_40: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_18: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.norm1/getitem_78 [<built-in function getitem>] (Inputs: (native_layer_norm_18: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_78: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/_reshape_copy_255 [aten._reshape_copy.default] (Inputs: (getitem_78: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_255: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/roll_8 [aten.roll.default] (Inputs: (_reshape_copy_255: (1, 120, 168, 256)@torch.float32, [-4, -4], [1, 2]) | Outputs: (roll_8: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/_reshape_copy_256 [aten._reshape_copy.default] (Inputs: (roll_8: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_256: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/permute_93 [aten.permute.default] (Inputs: (_reshape_copy_256: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_93: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/clone_99 [aten.clone.default] (Inputs: (permute_93: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_99: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/_reshape_copy_257 [aten._reshape_copy.default] (Inputs: (clone_99: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_257: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/_reshape_copy_258 [aten._reshape_copy.default] (Inputs: (_reshape_copy_257: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_258: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn.qkv/_reshape_copy_259 [aten._reshape_copy.default] (Inputs: (_reshape_copy_258: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_259: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn.qkv/_frozen_param54 [_frozen_param54] (Inputs: () | Outputs: (_frozen_param54: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn.qkv/addmm_36 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_attn_qkv_bias: (768,)@float32, _reshape_copy_259: (20160, 256)@torch.float32, _frozen_param54: (256, 768)@float32) | Outputs: (addmm_36: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn.qkv/_reshape_copy_260 [aten._reshape_copy.default] (Inputs: (addmm_36: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_260: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/_reshape_copy_261 [aten._reshape_copy.default] (Inputs: (_reshape_copy_260: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_261: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/permute_95 [aten.permute.default] (Inputs: (_reshape_copy_261: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_95: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/select_27 [aten.select.int] (Inputs: (permute_95: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_27: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/select_28 [aten.select.int] (Inputs: (permute_95: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_28: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/select_29 [aten.select.int] (Inputs: (permute_95: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_29: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/mul_17 [aten.mul.Tensor] (Inputs: (select_27: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_17: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/permute_96 [aten.permute.default] (Inputs: (select_28: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_96: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/expand_36 [aten.expand.default] (Inputs: (mul_17: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_36: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/clone_100 [aten.clone.default] (Inputs: (expand_36: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_100: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/_reshape_copy_262 [aten._reshape_copy.default] (Inputs: (clone_100: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_262: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/expand_37 [aten.expand.default] (Inputs: (permute_96: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_37: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/clone_101 [aten.clone.default] (Inputs: (expand_37: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_101: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/_reshape_copy_263 [aten._reshape_copy.default] (Inputs: (clone_101: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_263: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/bmm_18 [aten.bmm.default] (Inputs: (_reshape_copy_262: (2520, 64, 32)@torch.float32, _reshape_copy_263: (2520, 32, 64)@torch.float32) | Outputs: (bmm_18: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/_reshape_copy_264 [aten._reshape_copy.default] (Inputs: (bmm_18: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_264: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/_frozen_param55 [_frozen_param55] (Inputs: () | Outputs: (_frozen_param55: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/add_41 [aten.add.Tensor] (Inputs: (_reshape_copy_264: (315, 8, 64, 64)@torch.float32, _frozen_param55: (1, 8, 64, 64)@float32) | Outputs: (add_41: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/_reshape_copy_267 [aten._reshape_copy.default] (Inputs: (add_41: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_267: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/_frozen_param56 [_frozen_param56] (Inputs: () | Outputs: (_frozen_param56: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/add_42 [aten.add.Tensor] (Inputs: (_reshape_copy_267: (1, 315, 8, 64, 64)@torch.float32, _frozen_param56: (1, 315, 1, 64, 64)@float32) | Outputs: (add_42: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/_reshape_copy_268 [aten._reshape_copy.default] (Inputs: (add_42: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_268: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn.softmax/_softmax_9 [aten._softmax.default] (Inputs: (_reshape_copy_268: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_9: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn.attn_drop/clone_103 [aten.clone.default] (Inputs: (_softmax_9: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_103: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/expand_38 [aten.expand.default] (Inputs: (clone_103: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_38: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/_reshape_copy_269 [aten._reshape_copy.default] (Inputs: (expand_38: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_269: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/expand_39 [aten.expand.default] (Inputs: (select_29: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_39: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/clone_104 [aten.clone.default] (Inputs: (expand_39: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_104: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/_reshape_copy_270 [aten._reshape_copy.default] (Inputs: (clone_104: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_270: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/bmm_19 [aten.bmm.default] (Inputs: (_reshape_copy_269: (2520, 64, 64)@torch.float32, _reshape_copy_270: (2520, 64, 32)@torch.float32) | Outputs: (bmm_19: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/_reshape_copy_271 [aten._reshape_copy.default] (Inputs: (bmm_19: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_271: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/permute_98 [aten.permute.default] (Inputs: (_reshape_copy_271: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_98: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/clone_105 [aten.clone.default] (Inputs: (permute_98: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_105: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn/_reshape_copy_272 [aten._reshape_copy.default] (Inputs: (clone_105: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_272: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn.proj/_reshape_copy_273 [aten._reshape_copy.default] (Inputs: (_reshape_copy_272: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_273: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn.proj/_frozen_param57 [_frozen_param57] (Inputs: () | Outputs: (_frozen_param57: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn.proj/addmm_37 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_attn_proj_bias: (256,)@float32, _reshape_copy_273: (20160, 256)@torch.float32, _frozen_param57: (256, 256)@float32) | Outputs: (addmm_37: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn.proj/_reshape_copy_274 [aten._reshape_copy.default] (Inputs: (addmm_37: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_274: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.attn.proj_drop/clone_106 [aten.clone.default] (Inputs: (_reshape_copy_274: (315, 64, 256)@torch.float32) | Outputs: (clone_106: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/_reshape_copy_275 [aten._reshape_copy.default] (Inputs: (clone_106: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_275: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/_reshape_copy_276 [aten._reshape_copy.default] (Inputs: (_reshape_copy_275: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_276: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/permute_100 [aten.permute.default] (Inputs: (_reshape_copy_276: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_100: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/clone_107 [aten.clone.default] (Inputs: (permute_100: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_107: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/_reshape_copy_277 [aten._reshape_copy.default] (Inputs: (clone_107: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_277: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/roll_9 [aten.roll.default] (Inputs: (_reshape_copy_277: (1, 120, 168, 256)@torch.float32, [4, 4], [1, 2]) | Outputs: (roll_9: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/_reshape_copy_278 [aten._reshape_copy.default] (Inputs: (roll_9: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_278: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/add_43 [aten.add.Tensor] (Inputs: (add_40: (1, 20160, 256)@torch.float32, _reshape_copy_278: (1, 20160, 256)@torch.float32) | Outputs: (add_43: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_norm2_weight [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_norm2_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.norm2/native_layer_norm_19 [aten.native_layer_norm.default] (Inputs: (add_43: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_19: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.norm2/getitem_81 [<built-in function getitem>] (Inputs: (native_layer_norm_19: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_81: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.mlp.fc1/_reshape_copy_279 [aten._reshape_copy.default] (Inputs: (getitem_81: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_279: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.mlp.fc1/_frozen_param58 [_frozen_param58] (Inputs: () | Outputs: (_frozen_param58: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.mlp.fc1/addmm_38 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_mlp_fc1_bias: (1024,)@float32, _reshape_copy_279: (20160, 256)@torch.float32, _frozen_param58: (256, 1024)@float32) | Outputs: (addmm_38: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.mlp.fc1/_reshape_copy_280 [aten._reshape_copy.default] (Inputs: (addmm_38: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_280: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.mlp.act/gelu_9 [aten.gelu.default] (Inputs: (_reshape_copy_280: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_9: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.mlp.drop/clone_108 [aten.clone.default] (Inputs: (gelu_9: (1, 20160, 1024)@torch.float32) | Outputs: (clone_108: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.mlp.fc2/_reshape_copy_281 [aten._reshape_copy.default] (Inputs: (clone_108: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_281: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.mlp.fc2/_frozen_param59 [_frozen_param59] (Inputs: () | Outputs: (_frozen_param59: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.mlp.fc2/addmm_39 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_3_mlp_fc2_bias: (256,)@float32, _reshape_copy_281: (20160, 1024)@torch.float32, _frozen_param59: (1024, 256)@float32) | Outputs: (addmm_39: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.mlp.fc2/_reshape_copy_282 [aten._reshape_copy.default] (Inputs: (addmm_39: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_282: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3.mlp.drop/clone_109 [aten.clone.default] (Inputs: (_reshape_copy_282: (1, 20160, 256)@torch.float32) | Outputs: (clone_109: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.3/add_44 [aten.add.Tensor] (Inputs: (add_43: (1, 20160, 256)@torch.float32, clone_109: (1, 20160, 256)@torch.float32) | Outputs: (add_44: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_norm1_weight [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_norm1_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.norm1/native_layer_norm_20 [aten.native_layer_norm.default] (Inputs: (add_44: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_20: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.norm1/getitem_84 [<built-in function getitem>] (Inputs: (native_layer_norm_20: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_84: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4/_reshape_copy_283 [aten._reshape_copy.default] (Inputs: (getitem_84: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_283: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4/_reshape_copy_284 [aten._reshape_copy.default] (Inputs: (_reshape_copy_283: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_284: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4/permute_103 [aten.permute.default] (Inputs: (_reshape_copy_284: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_103: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4/clone_110 [aten.clone.default] (Inputs: (permute_103: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_110: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4/_reshape_copy_285 [aten._reshape_copy.default] (Inputs: (clone_110: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_285: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4/_reshape_copy_286 [aten._reshape_copy.default] (Inputs: (_reshape_copy_285: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_286: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn.qkv/_reshape_copy_287 [aten._reshape_copy.default] (Inputs: (_reshape_copy_286: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_287: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn.qkv/_frozen_param60 [_frozen_param60] (Inputs: () | Outputs: (_frozen_param60: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn.qkv/addmm_40 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_attn_qkv_bias: (768,)@float32, _reshape_copy_287: (20160, 256)@torch.float32, _frozen_param60: (256, 768)@float32) | Outputs: (addmm_40: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn.qkv/_reshape_copy_288 [aten._reshape_copy.default] (Inputs: (addmm_40: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_288: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/_reshape_copy_289 [aten._reshape_copy.default] (Inputs: (_reshape_copy_288: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_289: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/permute_105 [aten.permute.default] (Inputs: (_reshape_copy_289: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_105: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/select_30 [aten.select.int] (Inputs: (permute_105: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_30: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/select_31 [aten.select.int] (Inputs: (permute_105: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_31: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/select_32 [aten.select.int] (Inputs: (permute_105: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_32: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/mul_18 [aten.mul.Tensor] (Inputs: (select_30: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_18: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/permute_106 [aten.permute.default] (Inputs: (select_31: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_106: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/expand_40 [aten.expand.default] (Inputs: (mul_18: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_40: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/clone_111 [aten.clone.default] (Inputs: (expand_40: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_111: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/_reshape_copy_290 [aten._reshape_copy.default] (Inputs: (clone_111: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_290: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/expand_41 [aten.expand.default] (Inputs: (permute_106: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_41: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/clone_112 [aten.clone.default] (Inputs: (expand_41: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_112: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/_reshape_copy_291 [aten._reshape_copy.default] (Inputs: (clone_112: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_291: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/bmm_20 [aten.bmm.default] (Inputs: (_reshape_copy_290: (2520, 64, 32)@torch.float32, _reshape_copy_291: (2520, 32, 64)@torch.float32) | Outputs: (bmm_20: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/_reshape_copy_292 [aten._reshape_copy.default] (Inputs: (bmm_20: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_292: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/_frozen_param61 [_frozen_param61] (Inputs: () | Outputs: (_frozen_param61: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/add_45 [aten.add.Tensor] (Inputs: (_reshape_copy_292: (315, 8, 64, 64)@torch.float32, _frozen_param61: (1, 8, 64, 64)@float32) | Outputs: (add_45: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/_reshape_copy_295 [aten._reshape_copy.default] (Inputs: (add_45: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_295: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/_frozen_param62 [_frozen_param62] (Inputs: () | Outputs: (_frozen_param62: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/add_46 [aten.add.Tensor] (Inputs: (_reshape_copy_295: (1, 315, 8, 64, 64)@torch.float32, _frozen_param62: (1, 315, 1, 64, 64)@float32) | Outputs: (add_46: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/_reshape_copy_296 [aten._reshape_copy.default] (Inputs: (add_46: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_296: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn.softmax/_softmax_10 [aten._softmax.default] (Inputs: (_reshape_copy_296: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_10: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn.attn_drop/clone_114 [aten.clone.default] (Inputs: (_softmax_10: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_114: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/expand_42 [aten.expand.default] (Inputs: (clone_114: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_42: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/_reshape_copy_297 [aten._reshape_copy.default] (Inputs: (expand_42: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_297: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/expand_43 [aten.expand.default] (Inputs: (select_32: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_43: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/clone_115 [aten.clone.default] (Inputs: (expand_43: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_115: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/_reshape_copy_298 [aten._reshape_copy.default] (Inputs: (clone_115: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_298: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/bmm_21 [aten.bmm.default] (Inputs: (_reshape_copy_297: (2520, 64, 64)@torch.float32, _reshape_copy_298: (2520, 64, 32)@torch.float32) | Outputs: (bmm_21: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/_reshape_copy_299 [aten._reshape_copy.default] (Inputs: (bmm_21: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_299: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/permute_108 [aten.permute.default] (Inputs: (_reshape_copy_299: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_108: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/clone_116 [aten.clone.default] (Inputs: (permute_108: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_116: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn/_reshape_copy_300 [aten._reshape_copy.default] (Inputs: (clone_116: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_300: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn.proj/_reshape_copy_301 [aten._reshape_copy.default] (Inputs: (_reshape_copy_300: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_301: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn.proj/_frozen_param63 [_frozen_param63] (Inputs: () | Outputs: (_frozen_param63: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn.proj/addmm_41 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_attn_proj_bias: (256,)@float32, _reshape_copy_301: (20160, 256)@torch.float32, _frozen_param63: (256, 256)@float32) | Outputs: (addmm_41: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn.proj/_reshape_copy_302 [aten._reshape_copy.default] (Inputs: (addmm_41: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_302: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.attn.proj_drop/clone_117 [aten.clone.default] (Inputs: (_reshape_copy_302: (315, 64, 256)@torch.float32) | Outputs: (clone_117: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4/_reshape_copy_303 [aten._reshape_copy.default] (Inputs: (clone_117: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_303: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4/_reshape_copy_304 [aten._reshape_copy.default] (Inputs: (_reshape_copy_303: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_304: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4/permute_110 [aten.permute.default] (Inputs: (_reshape_copy_304: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_110: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4/clone_118 [aten.clone.default] (Inputs: (permute_110: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_118: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4/_reshape_copy_305 [aten._reshape_copy.default] (Inputs: (clone_118: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_305: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4/_reshape_copy_306 [aten._reshape_copy.default] (Inputs: (_reshape_copy_305: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_306: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4/add_47 [aten.add.Tensor] (Inputs: (add_44: (1, 20160, 256)@torch.float32, _reshape_copy_306: (1, 20160, 256)@torch.float32) | Outputs: (add_47: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_norm2_weight [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_norm2_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.norm2/native_layer_norm_21 [aten.native_layer_norm.default] (Inputs: (add_47: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_21: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.norm2/getitem_87 [<built-in function getitem>] (Inputs: (native_layer_norm_21: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_87: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.mlp.fc1/_reshape_copy_307 [aten._reshape_copy.default] (Inputs: (getitem_87: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_307: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.mlp.fc1/_frozen_param64 [_frozen_param64] (Inputs: () | Outputs: (_frozen_param64: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.mlp.fc1/addmm_42 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_mlp_fc1_bias: (1024,)@float32, _reshape_copy_307: (20160, 256)@torch.float32, _frozen_param64: (256, 1024)@float32) | Outputs: (addmm_42: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.mlp.fc1/_reshape_copy_308 [aten._reshape_copy.default] (Inputs: (addmm_42: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_308: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.mlp.act/gelu_10 [aten.gelu.default] (Inputs: (_reshape_copy_308: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_10: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.mlp.drop/clone_119 [aten.clone.default] (Inputs: (gelu_10: (1, 20160, 1024)@torch.float32) | Outputs: (clone_119: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.mlp.fc2/_reshape_copy_309 [aten._reshape_copy.default] (Inputs: (clone_119: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_309: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.mlp.fc2/_frozen_param65 [_frozen_param65] (Inputs: () | Outputs: (_frozen_param65: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.mlp.fc2/addmm_43 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_4_mlp_fc2_bias: (256,)@float32, _reshape_copy_309: (20160, 1024)@torch.float32, _frozen_param65: (1024, 256)@float32) | Outputs: (addmm_43: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.mlp.fc2/_reshape_copy_310 [aten._reshape_copy.default] (Inputs: (addmm_43: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_310: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4.mlp.drop/clone_120 [aten.clone.default] (Inputs: (_reshape_copy_310: (1, 20160, 256)@torch.float32) | Outputs: (clone_120: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.4/add_48 [aten.add.Tensor] (Inputs: (add_47: (1, 20160, 256)@torch.float32, clone_120: (1, 20160, 256)@torch.float32) | Outputs: (add_48: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_norm1_weight [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_norm1_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.norm1/native_layer_norm_22 [aten.native_layer_norm.default] (Inputs: (add_48: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_22: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.norm1/getitem_90 [<built-in function getitem>] (Inputs: (native_layer_norm_22: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_90: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/_reshape_copy_311 [aten._reshape_copy.default] (Inputs: (getitem_90: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_311: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/roll_10 [aten.roll.default] (Inputs: (_reshape_copy_311: (1, 120, 168, 256)@torch.float32, [-4, -4], [1, 2]) | Outputs: (roll_10: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/_reshape_copy_312 [aten._reshape_copy.default] (Inputs: (roll_10: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_312: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/permute_113 [aten.permute.default] (Inputs: (_reshape_copy_312: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_113: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/clone_121 [aten.clone.default] (Inputs: (permute_113: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_121: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/_reshape_copy_313 [aten._reshape_copy.default] (Inputs: (clone_121: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_313: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/_reshape_copy_314 [aten._reshape_copy.default] (Inputs: (_reshape_copy_313: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_314: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn.qkv/_reshape_copy_315 [aten._reshape_copy.default] (Inputs: (_reshape_copy_314: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_315: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn.qkv/_frozen_param66 [_frozen_param66] (Inputs: () | Outputs: (_frozen_param66: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn.qkv/addmm_44 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_attn_qkv_bias: (768,)@float32, _reshape_copy_315: (20160, 256)@torch.float32, _frozen_param66: (256, 768)@float32) | Outputs: (addmm_44: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn.qkv/_reshape_copy_316 [aten._reshape_copy.default] (Inputs: (addmm_44: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_316: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/_reshape_copy_317 [aten._reshape_copy.default] (Inputs: (_reshape_copy_316: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_317: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/permute_115 [aten.permute.default] (Inputs: (_reshape_copy_317: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_115: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/select_33 [aten.select.int] (Inputs: (permute_115: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_33: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/select_34 [aten.select.int] (Inputs: (permute_115: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_34: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/select_35 [aten.select.int] (Inputs: (permute_115: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_35: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/mul_19 [aten.mul.Tensor] (Inputs: (select_33: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_19: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/permute_116 [aten.permute.default] (Inputs: (select_34: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_116: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/expand_44 [aten.expand.default] (Inputs: (mul_19: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_44: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/clone_122 [aten.clone.default] (Inputs: (expand_44: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_122: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/_reshape_copy_318 [aten._reshape_copy.default] (Inputs: (clone_122: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_318: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/expand_45 [aten.expand.default] (Inputs: (permute_116: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_45: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/clone_123 [aten.clone.default] (Inputs: (expand_45: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_123: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/_reshape_copy_319 [aten._reshape_copy.default] (Inputs: (clone_123: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_319: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/bmm_22 [aten.bmm.default] (Inputs: (_reshape_copy_318: (2520, 64, 32)@torch.float32, _reshape_copy_319: (2520, 32, 64)@torch.float32) | Outputs: (bmm_22: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/_reshape_copy_320 [aten._reshape_copy.default] (Inputs: (bmm_22: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_320: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/_frozen_param67 [_frozen_param67] (Inputs: () | Outputs: (_frozen_param67: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/add_49 [aten.add.Tensor] (Inputs: (_reshape_copy_320: (315, 8, 64, 64)@torch.float32, _frozen_param67: (1, 8, 64, 64)@float32) | Outputs: (add_49: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/_reshape_copy_323 [aten._reshape_copy.default] (Inputs: (add_49: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_323: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/_frozen_param68 [_frozen_param68] (Inputs: () | Outputs: (_frozen_param68: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/add_50 [aten.add.Tensor] (Inputs: (_reshape_copy_323: (1, 315, 8, 64, 64)@torch.float32, _frozen_param68: (1, 315, 1, 64, 64)@float32) | Outputs: (add_50: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/_reshape_copy_324 [aten._reshape_copy.default] (Inputs: (add_50: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_324: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn.softmax/_softmax_11 [aten._softmax.default] (Inputs: (_reshape_copy_324: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_11: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn.attn_drop/clone_125 [aten.clone.default] (Inputs: (_softmax_11: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_125: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/expand_46 [aten.expand.default] (Inputs: (clone_125: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_46: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/_reshape_copy_325 [aten._reshape_copy.default] (Inputs: (expand_46: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_325: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/expand_47 [aten.expand.default] (Inputs: (select_35: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_47: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/clone_126 [aten.clone.default] (Inputs: (expand_47: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_126: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/_reshape_copy_326 [aten._reshape_copy.default] (Inputs: (clone_126: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_326: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/bmm_23 [aten.bmm.default] (Inputs: (_reshape_copy_325: (2520, 64, 64)@torch.float32, _reshape_copy_326: (2520, 64, 32)@torch.float32) | Outputs: (bmm_23: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/_reshape_copy_327 [aten._reshape_copy.default] (Inputs: (bmm_23: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_327: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/permute_118 [aten.permute.default] (Inputs: (_reshape_copy_327: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_118: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/clone_127 [aten.clone.default] (Inputs: (permute_118: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_127: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn/_reshape_copy_328 [aten._reshape_copy.default] (Inputs: (clone_127: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_328: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn.proj/_reshape_copy_329 [aten._reshape_copy.default] (Inputs: (_reshape_copy_328: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_329: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn.proj/_frozen_param69 [_frozen_param69] (Inputs: () | Outputs: (_frozen_param69: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn.proj/addmm_45 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_attn_proj_bias: (256,)@float32, _reshape_copy_329: (20160, 256)@torch.float32, _frozen_param69: (256, 256)@float32) | Outputs: (addmm_45: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn.proj/_reshape_copy_330 [aten._reshape_copy.default] (Inputs: (addmm_45: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_330: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.attn.proj_drop/clone_128 [aten.clone.default] (Inputs: (_reshape_copy_330: (315, 64, 256)@torch.float32) | Outputs: (clone_128: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/_reshape_copy_331 [aten._reshape_copy.default] (Inputs: (clone_128: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_331: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/_reshape_copy_332 [aten._reshape_copy.default] (Inputs: (_reshape_copy_331: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_332: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/permute_120 [aten.permute.default] (Inputs: (_reshape_copy_332: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_120: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/clone_129 [aten.clone.default] (Inputs: (permute_120: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_129: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/_reshape_copy_333 [aten._reshape_copy.default] (Inputs: (clone_129: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_333: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/roll_11 [aten.roll.default] (Inputs: (_reshape_copy_333: (1, 120, 168, 256)@torch.float32, [4, 4], [1, 2]) | Outputs: (roll_11: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/_reshape_copy_334 [aten._reshape_copy.default] (Inputs: (roll_11: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_334: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/add_51 [aten.add.Tensor] (Inputs: (add_48: (1, 20160, 256)@torch.float32, _reshape_copy_334: (1, 20160, 256)@torch.float32) | Outputs: (add_51: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_norm2_weight [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_norm2_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.norm2/native_layer_norm_23 [aten.native_layer_norm.default] (Inputs: (add_51: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_23: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.norm2/getitem_93 [<built-in function getitem>] (Inputs: (native_layer_norm_23: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_93: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.mlp.fc1/_reshape_copy_335 [aten._reshape_copy.default] (Inputs: (getitem_93: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_335: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.mlp.fc1/_frozen_param70 [_frozen_param70] (Inputs: () | Outputs: (_frozen_param70: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.mlp.fc1/addmm_46 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_mlp_fc1_bias: (1024,)@float32, _reshape_copy_335: (20160, 256)@torch.float32, _frozen_param70: (256, 1024)@float32) | Outputs: (addmm_46: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.mlp.fc1/_reshape_copy_336 [aten._reshape_copy.default] (Inputs: (addmm_46: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_336: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.mlp.act/gelu_11 [aten.gelu.default] (Inputs: (_reshape_copy_336: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_11: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.mlp.drop/clone_130 [aten.clone.default] (Inputs: (gelu_11: (1, 20160, 1024)@torch.float32) | Outputs: (clone_130: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.mlp.fc2/_reshape_copy_337 [aten._reshape_copy.default] (Inputs: (clone_130: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_337: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.mlp.fc2/_frozen_param71 [_frozen_param71] (Inputs: () | Outputs: (_frozen_param71: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.mlp.fc2/addmm_47 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_1_residual_group_blocks_5_mlp_fc2_bias: (256,)@float32, _reshape_copy_337: (20160, 1024)@torch.float32, _frozen_param71: (1024, 256)@float32) | Outputs: (addmm_47: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.mlp.fc2/_reshape_copy_338 [aten._reshape_copy.default] (Inputs: (addmm_47: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_338: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5.mlp.drop/clone_131 [aten.clone.default] (Inputs: (_reshape_copy_338: (1, 20160, 256)@torch.float32) | Outputs: (clone_131: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.residual_group.blocks.5/add_52 [aten.add.Tensor] (Inputs: (add_51: (1, 20160, 256)@torch.float32, clone_131: (1, 20160, 256)@torch.float32) | Outputs: (add_52: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.patch_unembed/permute_123 [aten.permute.default] (Inputs: (add_52: (1, 20160, 256)@torch.float32, [0, 2, 1]) | Outputs: (permute_123: (1, 256, 20160)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.patch_unembed/_reshape_copy_339 [aten._reshape_copy.default] (Inputs: (permute_123: (1, 256, 20160)@torch.float32, [1, 256, 120, 168]) | Outputs: (_reshape_copy_339: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_conv_weight [multiscale_encoder.blocks.2.swin_blks.1.conv.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_conv_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_1_conv_bias [multiscale_encoder.blocks.2.swin_blks.1.conv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_1_conv_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.conv/convolution_12 [aten.convolution.default] (Inputs: (_reshape_copy_339: (1, 256, 120, 168)@torch.float32, multiscale_encoder_blocks_2_swin_blks_1_conv_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_2_swin_blks_1_conv_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_12: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.patch_embed/_reshape_copy_340 [aten._reshape_copy.default] (Inputs: (convolution_12: (1, 256, 120, 168)@torch.float32, [1, 256, 20160]) | Outputs: (_reshape_copy_340: (1, 256, 20160)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1.patch_embed/permute_124 [aten.permute.default] (Inputs: (_reshape_copy_340: (1, 256, 20160)@torch.float32, [0, 2, 1]) | Outputs: (permute_124: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.1/add_53 [aten.add.Tensor] (Inputs: (permute_124: (1, 20160, 256)@torch.float32, add_28: (1, 20160, 256)@torch.float32) | Outputs: (add_53: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_norm1_weight [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_norm1_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.norm1/native_layer_norm_24 [aten.native_layer_norm.default] (Inputs: (add_53: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_24: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.norm1/getitem_96 [<built-in function getitem>] (Inputs: (native_layer_norm_24: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_96: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0/_reshape_copy_341 [aten._reshape_copy.default] (Inputs: (getitem_96: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_341: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0/_reshape_copy_342 [aten._reshape_copy.default] (Inputs: (_reshape_copy_341: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_342: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0/permute_125 [aten.permute.default] (Inputs: (_reshape_copy_342: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_125: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0/clone_132 [aten.clone.default] (Inputs: (permute_125: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_132: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0/_reshape_copy_343 [aten._reshape_copy.default] (Inputs: (clone_132: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_343: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0/_reshape_copy_344 [aten._reshape_copy.default] (Inputs: (_reshape_copy_343: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_344: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn.qkv/_reshape_copy_345 [aten._reshape_copy.default] (Inputs: (_reshape_copy_344: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_345: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn.qkv/_frozen_param72 [_frozen_param72] (Inputs: () | Outputs: (_frozen_param72: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn.qkv/addmm_48 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_attn_qkv_bias: (768,)@float32, _reshape_copy_345: (20160, 256)@torch.float32, _frozen_param72: (256, 768)@float32) | Outputs: (addmm_48: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn.qkv/_reshape_copy_346 [aten._reshape_copy.default] (Inputs: (addmm_48: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_346: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/_reshape_copy_347 [aten._reshape_copy.default] (Inputs: (_reshape_copy_346: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_347: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/permute_127 [aten.permute.default] (Inputs: (_reshape_copy_347: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_127: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/select_36 [aten.select.int] (Inputs: (permute_127: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_36: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/select_37 [aten.select.int] (Inputs: (permute_127: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_37: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/select_38 [aten.select.int] (Inputs: (permute_127: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_38: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/mul_20 [aten.mul.Tensor] (Inputs: (select_36: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_20: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/permute_128 [aten.permute.default] (Inputs: (select_37: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_128: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/expand_48 [aten.expand.default] (Inputs: (mul_20: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_48: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/clone_133 [aten.clone.default] (Inputs: (expand_48: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_133: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/_reshape_copy_348 [aten._reshape_copy.default] (Inputs: (clone_133: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_348: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/expand_49 [aten.expand.default] (Inputs: (permute_128: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_49: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/clone_134 [aten.clone.default] (Inputs: (expand_49: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_134: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/_reshape_copy_349 [aten._reshape_copy.default] (Inputs: (clone_134: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_349: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/bmm_24 [aten.bmm.default] (Inputs: (_reshape_copy_348: (2520, 64, 32)@torch.float32, _reshape_copy_349: (2520, 32, 64)@torch.float32) | Outputs: (bmm_24: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/_reshape_copy_350 [aten._reshape_copy.default] (Inputs: (bmm_24: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_350: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/_frozen_param73 [_frozen_param73] (Inputs: () | Outputs: (_frozen_param73: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/add_54 [aten.add.Tensor] (Inputs: (_reshape_copy_350: (315, 8, 64, 64)@torch.float32, _frozen_param73: (1, 8, 64, 64)@float32) | Outputs: (add_54: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/_reshape_copy_353 [aten._reshape_copy.default] (Inputs: (add_54: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_353: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/_frozen_param74 [_frozen_param74] (Inputs: () | Outputs: (_frozen_param74: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/add_55 [aten.add.Tensor] (Inputs: (_reshape_copy_353: (1, 315, 8, 64, 64)@torch.float32, _frozen_param74: (1, 315, 1, 64, 64)@float32) | Outputs: (add_55: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/_reshape_copy_354 [aten._reshape_copy.default] (Inputs: (add_55: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_354: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn.softmax/_softmax_12 [aten._softmax.default] (Inputs: (_reshape_copy_354: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_12: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn.attn_drop/clone_136 [aten.clone.default] (Inputs: (_softmax_12: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_136: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/expand_50 [aten.expand.default] (Inputs: (clone_136: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_50: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/_reshape_copy_355 [aten._reshape_copy.default] (Inputs: (expand_50: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_355: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/expand_51 [aten.expand.default] (Inputs: (select_38: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_51: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/clone_137 [aten.clone.default] (Inputs: (expand_51: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_137: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/_reshape_copy_356 [aten._reshape_copy.default] (Inputs: (clone_137: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_356: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/bmm_25 [aten.bmm.default] (Inputs: (_reshape_copy_355: (2520, 64, 64)@torch.float32, _reshape_copy_356: (2520, 64, 32)@torch.float32) | Outputs: (bmm_25: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/_reshape_copy_357 [aten._reshape_copy.default] (Inputs: (bmm_25: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_357: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/permute_130 [aten.permute.default] (Inputs: (_reshape_copy_357: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_130: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/clone_138 [aten.clone.default] (Inputs: (permute_130: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_138: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn/_reshape_copy_358 [aten._reshape_copy.default] (Inputs: (clone_138: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_358: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn.proj/_reshape_copy_359 [aten._reshape_copy.default] (Inputs: (_reshape_copy_358: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_359: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn.proj/_frozen_param75 [_frozen_param75] (Inputs: () | Outputs: (_frozen_param75: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn.proj/addmm_49 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_attn_proj_bias: (256,)@float32, _reshape_copy_359: (20160, 256)@torch.float32, _frozen_param75: (256, 256)@float32) | Outputs: (addmm_49: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn.proj/_reshape_copy_360 [aten._reshape_copy.default] (Inputs: (addmm_49: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_360: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.attn.proj_drop/clone_139 [aten.clone.default] (Inputs: (_reshape_copy_360: (315, 64, 256)@torch.float32) | Outputs: (clone_139: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0/_reshape_copy_361 [aten._reshape_copy.default] (Inputs: (clone_139: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_361: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0/_reshape_copy_362 [aten._reshape_copy.default] (Inputs: (_reshape_copy_361: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_362: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0/permute_132 [aten.permute.default] (Inputs: (_reshape_copy_362: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_132: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0/clone_140 [aten.clone.default] (Inputs: (permute_132: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_140: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0/_reshape_copy_363 [aten._reshape_copy.default] (Inputs: (clone_140: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_363: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0/_reshape_copy_364 [aten._reshape_copy.default] (Inputs: (_reshape_copy_363: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_364: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0/add_56 [aten.add.Tensor] (Inputs: (add_53: (1, 20160, 256)@torch.float32, _reshape_copy_364: (1, 20160, 256)@torch.float32) | Outputs: (add_56: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_norm2_weight [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_norm2_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.norm2/native_layer_norm_25 [aten.native_layer_norm.default] (Inputs: (add_56: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_25: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.norm2/getitem_99 [<built-in function getitem>] (Inputs: (native_layer_norm_25: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_99: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.mlp.fc1/_reshape_copy_365 [aten._reshape_copy.default] (Inputs: (getitem_99: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_365: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.mlp.fc1/_frozen_param76 [_frozen_param76] (Inputs: () | Outputs: (_frozen_param76: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.mlp.fc1/addmm_50 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_mlp_fc1_bias: (1024,)@float32, _reshape_copy_365: (20160, 256)@torch.float32, _frozen_param76: (256, 1024)@float32) | Outputs: (addmm_50: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.mlp.fc1/_reshape_copy_366 [aten._reshape_copy.default] (Inputs: (addmm_50: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_366: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.mlp.act/gelu_12 [aten.gelu.default] (Inputs: (_reshape_copy_366: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_12: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.mlp.drop/clone_141 [aten.clone.default] (Inputs: (gelu_12: (1, 20160, 1024)@torch.float32) | Outputs: (clone_141: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.mlp.fc2/_reshape_copy_367 [aten._reshape_copy.default] (Inputs: (clone_141: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_367: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.mlp.fc2/_frozen_param77 [_frozen_param77] (Inputs: () | Outputs: (_frozen_param77: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.mlp.fc2/addmm_51 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_0_mlp_fc2_bias: (256,)@float32, _reshape_copy_367: (20160, 1024)@torch.float32, _frozen_param77: (1024, 256)@float32) | Outputs: (addmm_51: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.mlp.fc2/_reshape_copy_368 [aten._reshape_copy.default] (Inputs: (addmm_51: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_368: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0.mlp.drop/clone_142 [aten.clone.default] (Inputs: (_reshape_copy_368: (1, 20160, 256)@torch.float32) | Outputs: (clone_142: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.0/add_57 [aten.add.Tensor] (Inputs: (add_56: (1, 20160, 256)@torch.float32, clone_142: (1, 20160, 256)@torch.float32) | Outputs: (add_57: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_norm1_weight [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_norm1_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.norm1/native_layer_norm_26 [aten.native_layer_norm.default] (Inputs: (add_57: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_26: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.norm1/getitem_102 [<built-in function getitem>] (Inputs: (native_layer_norm_26: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_102: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/_reshape_copy_369 [aten._reshape_copy.default] (Inputs: (getitem_102: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_369: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/roll_12 [aten.roll.default] (Inputs: (_reshape_copy_369: (1, 120, 168, 256)@torch.float32, [-4, -4], [1, 2]) | Outputs: (roll_12: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/_reshape_copy_370 [aten._reshape_copy.default] (Inputs: (roll_12: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_370: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/permute_135 [aten.permute.default] (Inputs: (_reshape_copy_370: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_135: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/clone_143 [aten.clone.default] (Inputs: (permute_135: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_143: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/_reshape_copy_371 [aten._reshape_copy.default] (Inputs: (clone_143: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_371: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/_reshape_copy_372 [aten._reshape_copy.default] (Inputs: (_reshape_copy_371: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_372: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn.qkv/_reshape_copy_373 [aten._reshape_copy.default] (Inputs: (_reshape_copy_372: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_373: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn.qkv/_frozen_param78 [_frozen_param78] (Inputs: () | Outputs: (_frozen_param78: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn.qkv/addmm_52 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_attn_qkv_bias: (768,)@float32, _reshape_copy_373: (20160, 256)@torch.float32, _frozen_param78: (256, 768)@float32) | Outputs: (addmm_52: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn.qkv/_reshape_copy_374 [aten._reshape_copy.default] (Inputs: (addmm_52: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_374: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/_reshape_copy_375 [aten._reshape_copy.default] (Inputs: (_reshape_copy_374: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_375: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/permute_137 [aten.permute.default] (Inputs: (_reshape_copy_375: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_137: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/select_39 [aten.select.int] (Inputs: (permute_137: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_39: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/select_40 [aten.select.int] (Inputs: (permute_137: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_40: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/select_41 [aten.select.int] (Inputs: (permute_137: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_41: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/mul_21 [aten.mul.Tensor] (Inputs: (select_39: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_21: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/permute_138 [aten.permute.default] (Inputs: (select_40: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_138: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/expand_52 [aten.expand.default] (Inputs: (mul_21: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_52: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/clone_144 [aten.clone.default] (Inputs: (expand_52: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_144: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/_reshape_copy_376 [aten._reshape_copy.default] (Inputs: (clone_144: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_376: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/expand_53 [aten.expand.default] (Inputs: (permute_138: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_53: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/clone_145 [aten.clone.default] (Inputs: (expand_53: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_145: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/_reshape_copy_377 [aten._reshape_copy.default] (Inputs: (clone_145: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_377: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/bmm_26 [aten.bmm.default] (Inputs: (_reshape_copy_376: (2520, 64, 32)@torch.float32, _reshape_copy_377: (2520, 32, 64)@torch.float32) | Outputs: (bmm_26: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/_reshape_copy_378 [aten._reshape_copy.default] (Inputs: (bmm_26: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_378: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/_frozen_param79 [_frozen_param79] (Inputs: () | Outputs: (_frozen_param79: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/add_58 [aten.add.Tensor] (Inputs: (_reshape_copy_378: (315, 8, 64, 64)@torch.float32, _frozen_param79: (1, 8, 64, 64)@float32) | Outputs: (add_58: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/_reshape_copy_381 [aten._reshape_copy.default] (Inputs: (add_58: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_381: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/_frozen_param80 [_frozen_param80] (Inputs: () | Outputs: (_frozen_param80: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/add_59 [aten.add.Tensor] (Inputs: (_reshape_copy_381: (1, 315, 8, 64, 64)@torch.float32, _frozen_param80: (1, 315, 1, 64, 64)@float32) | Outputs: (add_59: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/_reshape_copy_382 [aten._reshape_copy.default] (Inputs: (add_59: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_382: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn.softmax/_softmax_13 [aten._softmax.default] (Inputs: (_reshape_copy_382: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_13: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn.attn_drop/clone_147 [aten.clone.default] (Inputs: (_softmax_13: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_147: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/expand_54 [aten.expand.default] (Inputs: (clone_147: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_54: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/_reshape_copy_383 [aten._reshape_copy.default] (Inputs: (expand_54: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_383: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/expand_55 [aten.expand.default] (Inputs: (select_41: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_55: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/clone_148 [aten.clone.default] (Inputs: (expand_55: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_148: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/_reshape_copy_384 [aten._reshape_copy.default] (Inputs: (clone_148: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_384: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/bmm_27 [aten.bmm.default] (Inputs: (_reshape_copy_383: (2520, 64, 64)@torch.float32, _reshape_copy_384: (2520, 64, 32)@torch.float32) | Outputs: (bmm_27: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/_reshape_copy_385 [aten._reshape_copy.default] (Inputs: (bmm_27: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_385: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/permute_140 [aten.permute.default] (Inputs: (_reshape_copy_385: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_140: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/clone_149 [aten.clone.default] (Inputs: (permute_140: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_149: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn/_reshape_copy_386 [aten._reshape_copy.default] (Inputs: (clone_149: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_386: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn.proj/_reshape_copy_387 [aten._reshape_copy.default] (Inputs: (_reshape_copy_386: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_387: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn.proj/_frozen_param81 [_frozen_param81] (Inputs: () | Outputs: (_frozen_param81: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn.proj/addmm_53 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_attn_proj_bias: (256,)@float32, _reshape_copy_387: (20160, 256)@torch.float32, _frozen_param81: (256, 256)@float32) | Outputs: (addmm_53: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn.proj/_reshape_copy_388 [aten._reshape_copy.default] (Inputs: (addmm_53: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_388: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.attn.proj_drop/clone_150 [aten.clone.default] (Inputs: (_reshape_copy_388: (315, 64, 256)@torch.float32) | Outputs: (clone_150: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/_reshape_copy_389 [aten._reshape_copy.default] (Inputs: (clone_150: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_389: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/_reshape_copy_390 [aten._reshape_copy.default] (Inputs: (_reshape_copy_389: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_390: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/permute_142 [aten.permute.default] (Inputs: (_reshape_copy_390: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_142: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/clone_151 [aten.clone.default] (Inputs: (permute_142: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_151: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/_reshape_copy_391 [aten._reshape_copy.default] (Inputs: (clone_151: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_391: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/roll_13 [aten.roll.default] (Inputs: (_reshape_copy_391: (1, 120, 168, 256)@torch.float32, [4, 4], [1, 2]) | Outputs: (roll_13: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/_reshape_copy_392 [aten._reshape_copy.default] (Inputs: (roll_13: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_392: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/add_60 [aten.add.Tensor] (Inputs: (add_57: (1, 20160, 256)@torch.float32, _reshape_copy_392: (1, 20160, 256)@torch.float32) | Outputs: (add_60: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_norm2_weight [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_norm2_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.norm2/native_layer_norm_27 [aten.native_layer_norm.default] (Inputs: (add_60: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_27: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.norm2/getitem_105 [<built-in function getitem>] (Inputs: (native_layer_norm_27: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_105: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.mlp.fc1/_reshape_copy_393 [aten._reshape_copy.default] (Inputs: (getitem_105: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_393: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.mlp.fc1/_frozen_param82 [_frozen_param82] (Inputs: () | Outputs: (_frozen_param82: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.mlp.fc1/addmm_54 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_mlp_fc1_bias: (1024,)@float32, _reshape_copy_393: (20160, 256)@torch.float32, _frozen_param82: (256, 1024)@float32) | Outputs: (addmm_54: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.mlp.fc1/_reshape_copy_394 [aten._reshape_copy.default] (Inputs: (addmm_54: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_394: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.mlp.act/gelu_13 [aten.gelu.default] (Inputs: (_reshape_copy_394: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_13: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.mlp.drop/clone_152 [aten.clone.default] (Inputs: (gelu_13: (1, 20160, 1024)@torch.float32) | Outputs: (clone_152: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.mlp.fc2/_reshape_copy_395 [aten._reshape_copy.default] (Inputs: (clone_152: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_395: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.mlp.fc2/_frozen_param83 [_frozen_param83] (Inputs: () | Outputs: (_frozen_param83: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.mlp.fc2/addmm_55 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_1_mlp_fc2_bias: (256,)@float32, _reshape_copy_395: (20160, 1024)@torch.float32, _frozen_param83: (1024, 256)@float32) | Outputs: (addmm_55: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.mlp.fc2/_reshape_copy_396 [aten._reshape_copy.default] (Inputs: (addmm_55: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_396: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1.mlp.drop/clone_153 [aten.clone.default] (Inputs: (_reshape_copy_396: (1, 20160, 256)@torch.float32) | Outputs: (clone_153: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.1/add_61 [aten.add.Tensor] (Inputs: (add_60: (1, 20160, 256)@torch.float32, clone_153: (1, 20160, 256)@torch.float32) | Outputs: (add_61: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_norm1_weight [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_norm1_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.norm1/native_layer_norm_28 [aten.native_layer_norm.default] (Inputs: (add_61: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_28: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.norm1/getitem_108 [<built-in function getitem>] (Inputs: (native_layer_norm_28: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_108: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2/_reshape_copy_397 [aten._reshape_copy.default] (Inputs: (getitem_108: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_397: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2/_reshape_copy_398 [aten._reshape_copy.default] (Inputs: (_reshape_copy_397: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_398: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2/permute_145 [aten.permute.default] (Inputs: (_reshape_copy_398: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_145: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2/clone_154 [aten.clone.default] (Inputs: (permute_145: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_154: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2/_reshape_copy_399 [aten._reshape_copy.default] (Inputs: (clone_154: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_399: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2/_reshape_copy_400 [aten._reshape_copy.default] (Inputs: (_reshape_copy_399: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_400: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn.qkv/_reshape_copy_401 [aten._reshape_copy.default] (Inputs: (_reshape_copy_400: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_401: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn.qkv/_frozen_param84 [_frozen_param84] (Inputs: () | Outputs: (_frozen_param84: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn.qkv/addmm_56 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_attn_qkv_bias: (768,)@float32, _reshape_copy_401: (20160, 256)@torch.float32, _frozen_param84: (256, 768)@float32) | Outputs: (addmm_56: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn.qkv/_reshape_copy_402 [aten._reshape_copy.default] (Inputs: (addmm_56: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_402: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/_reshape_copy_403 [aten._reshape_copy.default] (Inputs: (_reshape_copy_402: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_403: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/permute_147 [aten.permute.default] (Inputs: (_reshape_copy_403: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_147: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/select_42 [aten.select.int] (Inputs: (permute_147: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_42: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/select_43 [aten.select.int] (Inputs: (permute_147: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_43: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/select_44 [aten.select.int] (Inputs: (permute_147: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_44: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/mul_22 [aten.mul.Tensor] (Inputs: (select_42: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_22: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/permute_148 [aten.permute.default] (Inputs: (select_43: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_148: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/expand_56 [aten.expand.default] (Inputs: (mul_22: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_56: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/clone_155 [aten.clone.default] (Inputs: (expand_56: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_155: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/_reshape_copy_404 [aten._reshape_copy.default] (Inputs: (clone_155: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_404: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/expand_57 [aten.expand.default] (Inputs: (permute_148: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_57: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/clone_156 [aten.clone.default] (Inputs: (expand_57: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_156: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/_reshape_copy_405 [aten._reshape_copy.default] (Inputs: (clone_156: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_405: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/bmm_28 [aten.bmm.default] (Inputs: (_reshape_copy_404: (2520, 64, 32)@torch.float32, _reshape_copy_405: (2520, 32, 64)@torch.float32) | Outputs: (bmm_28: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/_reshape_copy_406 [aten._reshape_copy.default] (Inputs: (bmm_28: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_406: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/_frozen_param85 [_frozen_param85] (Inputs: () | Outputs: (_frozen_param85: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/add_62 [aten.add.Tensor] (Inputs: (_reshape_copy_406: (315, 8, 64, 64)@torch.float32, _frozen_param85: (1, 8, 64, 64)@float32) | Outputs: (add_62: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/_reshape_copy_409 [aten._reshape_copy.default] (Inputs: (add_62: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_409: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/_frozen_param86 [_frozen_param86] (Inputs: () | Outputs: (_frozen_param86: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/add_63 [aten.add.Tensor] (Inputs: (_reshape_copy_409: (1, 315, 8, 64, 64)@torch.float32, _frozen_param86: (1, 315, 1, 64, 64)@float32) | Outputs: (add_63: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/_reshape_copy_410 [aten._reshape_copy.default] (Inputs: (add_63: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_410: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn.softmax/_softmax_14 [aten._softmax.default] (Inputs: (_reshape_copy_410: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_14: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn.attn_drop/clone_158 [aten.clone.default] (Inputs: (_softmax_14: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_158: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/expand_58 [aten.expand.default] (Inputs: (clone_158: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_58: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/_reshape_copy_411 [aten._reshape_copy.default] (Inputs: (expand_58: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_411: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/expand_59 [aten.expand.default] (Inputs: (select_44: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_59: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/clone_159 [aten.clone.default] (Inputs: (expand_59: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_159: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/_reshape_copy_412 [aten._reshape_copy.default] (Inputs: (clone_159: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_412: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/bmm_29 [aten.bmm.default] (Inputs: (_reshape_copy_411: (2520, 64, 64)@torch.float32, _reshape_copy_412: (2520, 64, 32)@torch.float32) | Outputs: (bmm_29: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/_reshape_copy_413 [aten._reshape_copy.default] (Inputs: (bmm_29: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_413: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/permute_150 [aten.permute.default] (Inputs: (_reshape_copy_413: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_150: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/clone_160 [aten.clone.default] (Inputs: (permute_150: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_160: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn/_reshape_copy_414 [aten._reshape_copy.default] (Inputs: (clone_160: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_414: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn.proj/_reshape_copy_415 [aten._reshape_copy.default] (Inputs: (_reshape_copy_414: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_415: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn.proj/_frozen_param87 [_frozen_param87] (Inputs: () | Outputs: (_frozen_param87: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn.proj/addmm_57 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_attn_proj_bias: (256,)@float32, _reshape_copy_415: (20160, 256)@torch.float32, _frozen_param87: (256, 256)@float32) | Outputs: (addmm_57: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn.proj/_reshape_copy_416 [aten._reshape_copy.default] (Inputs: (addmm_57: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_416: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.attn.proj_drop/clone_161 [aten.clone.default] (Inputs: (_reshape_copy_416: (315, 64, 256)@torch.float32) | Outputs: (clone_161: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2/_reshape_copy_417 [aten._reshape_copy.default] (Inputs: (clone_161: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_417: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2/_reshape_copy_418 [aten._reshape_copy.default] (Inputs: (_reshape_copy_417: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_418: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2/permute_152 [aten.permute.default] (Inputs: (_reshape_copy_418: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_152: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2/clone_162 [aten.clone.default] (Inputs: (permute_152: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_162: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2/_reshape_copy_419 [aten._reshape_copy.default] (Inputs: (clone_162: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_419: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2/_reshape_copy_420 [aten._reshape_copy.default] (Inputs: (_reshape_copy_419: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_420: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2/add_64 [aten.add.Tensor] (Inputs: (add_61: (1, 20160, 256)@torch.float32, _reshape_copy_420: (1, 20160, 256)@torch.float32) | Outputs: (add_64: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_norm2_weight [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_norm2_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.norm2/native_layer_norm_29 [aten.native_layer_norm.default] (Inputs: (add_64: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_29: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.norm2/getitem_111 [<built-in function getitem>] (Inputs: (native_layer_norm_29: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_111: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.mlp.fc1/_reshape_copy_421 [aten._reshape_copy.default] (Inputs: (getitem_111: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_421: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.mlp.fc1/_frozen_param88 [_frozen_param88] (Inputs: () | Outputs: (_frozen_param88: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.mlp.fc1/addmm_58 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_mlp_fc1_bias: (1024,)@float32, _reshape_copy_421: (20160, 256)@torch.float32, _frozen_param88: (256, 1024)@float32) | Outputs: (addmm_58: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.mlp.fc1/_reshape_copy_422 [aten._reshape_copy.default] (Inputs: (addmm_58: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_422: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.mlp.act/gelu_14 [aten.gelu.default] (Inputs: (_reshape_copy_422: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_14: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.mlp.drop/clone_163 [aten.clone.default] (Inputs: (gelu_14: (1, 20160, 1024)@torch.float32) | Outputs: (clone_163: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.mlp.fc2/_reshape_copy_423 [aten._reshape_copy.default] (Inputs: (clone_163: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_423: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.mlp.fc2/_frozen_param89 [_frozen_param89] (Inputs: () | Outputs: (_frozen_param89: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.mlp.fc2/addmm_59 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_2_mlp_fc2_bias: (256,)@float32, _reshape_copy_423: (20160, 1024)@torch.float32, _frozen_param89: (1024, 256)@float32) | Outputs: (addmm_59: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.mlp.fc2/_reshape_copy_424 [aten._reshape_copy.default] (Inputs: (addmm_59: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_424: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2.mlp.drop/clone_164 [aten.clone.default] (Inputs: (_reshape_copy_424: (1, 20160, 256)@torch.float32) | Outputs: (clone_164: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.2/add_65 [aten.add.Tensor] (Inputs: (add_64: (1, 20160, 256)@torch.float32, clone_164: (1, 20160, 256)@torch.float32) | Outputs: (add_65: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_norm1_weight [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_norm1_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.norm1/native_layer_norm_30 [aten.native_layer_norm.default] (Inputs: (add_65: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_30: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.norm1/getitem_114 [<built-in function getitem>] (Inputs: (native_layer_norm_30: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_114: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/_reshape_copy_425 [aten._reshape_copy.default] (Inputs: (getitem_114: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_425: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/roll_14 [aten.roll.default] (Inputs: (_reshape_copy_425: (1, 120, 168, 256)@torch.float32, [-4, -4], [1, 2]) | Outputs: (roll_14: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/_reshape_copy_426 [aten._reshape_copy.default] (Inputs: (roll_14: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_426: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/permute_155 [aten.permute.default] (Inputs: (_reshape_copy_426: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_155: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/clone_165 [aten.clone.default] (Inputs: (permute_155: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_165: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/_reshape_copy_427 [aten._reshape_copy.default] (Inputs: (clone_165: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_427: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/_reshape_copy_428 [aten._reshape_copy.default] (Inputs: (_reshape_copy_427: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_428: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn.qkv/_reshape_copy_429 [aten._reshape_copy.default] (Inputs: (_reshape_copy_428: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_429: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn.qkv/_frozen_param90 [_frozen_param90] (Inputs: () | Outputs: (_frozen_param90: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn.qkv/addmm_60 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_attn_qkv_bias: (768,)@float32, _reshape_copy_429: (20160, 256)@torch.float32, _frozen_param90: (256, 768)@float32) | Outputs: (addmm_60: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn.qkv/_reshape_copy_430 [aten._reshape_copy.default] (Inputs: (addmm_60: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_430: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/_reshape_copy_431 [aten._reshape_copy.default] (Inputs: (_reshape_copy_430: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_431: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/permute_157 [aten.permute.default] (Inputs: (_reshape_copy_431: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_157: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/select_45 [aten.select.int] (Inputs: (permute_157: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_45: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/select_46 [aten.select.int] (Inputs: (permute_157: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_46: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/select_47 [aten.select.int] (Inputs: (permute_157: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_47: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/mul_23 [aten.mul.Tensor] (Inputs: (select_45: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_23: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/permute_158 [aten.permute.default] (Inputs: (select_46: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_158: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/expand_60 [aten.expand.default] (Inputs: (mul_23: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_60: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/clone_166 [aten.clone.default] (Inputs: (expand_60: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_166: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/_reshape_copy_432 [aten._reshape_copy.default] (Inputs: (clone_166: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_432: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/expand_61 [aten.expand.default] (Inputs: (permute_158: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_61: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/clone_167 [aten.clone.default] (Inputs: (expand_61: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_167: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/_reshape_copy_433 [aten._reshape_copy.default] (Inputs: (clone_167: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_433: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/bmm_30 [aten.bmm.default] (Inputs: (_reshape_copy_432: (2520, 64, 32)@torch.float32, _reshape_copy_433: (2520, 32, 64)@torch.float32) | Outputs: (bmm_30: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/_reshape_copy_434 [aten._reshape_copy.default] (Inputs: (bmm_30: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_434: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/_frozen_param91 [_frozen_param91] (Inputs: () | Outputs: (_frozen_param91: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/add_66 [aten.add.Tensor] (Inputs: (_reshape_copy_434: (315, 8, 64, 64)@torch.float32, _frozen_param91: (1, 8, 64, 64)@float32) | Outputs: (add_66: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/_reshape_copy_437 [aten._reshape_copy.default] (Inputs: (add_66: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_437: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/_frozen_param92 [_frozen_param92] (Inputs: () | Outputs: (_frozen_param92: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/add_67 [aten.add.Tensor] (Inputs: (_reshape_copy_437: (1, 315, 8, 64, 64)@torch.float32, _frozen_param92: (1, 315, 1, 64, 64)@float32) | Outputs: (add_67: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/_reshape_copy_438 [aten._reshape_copy.default] (Inputs: (add_67: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_438: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn.softmax/_softmax_15 [aten._softmax.default] (Inputs: (_reshape_copy_438: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_15: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn.attn_drop/clone_169 [aten.clone.default] (Inputs: (_softmax_15: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_169: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/expand_62 [aten.expand.default] (Inputs: (clone_169: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_62: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/_reshape_copy_439 [aten._reshape_copy.default] (Inputs: (expand_62: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_439: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/expand_63 [aten.expand.default] (Inputs: (select_47: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_63: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/clone_170 [aten.clone.default] (Inputs: (expand_63: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_170: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/_reshape_copy_440 [aten._reshape_copy.default] (Inputs: (clone_170: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_440: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/bmm_31 [aten.bmm.default] (Inputs: (_reshape_copy_439: (2520, 64, 64)@torch.float32, _reshape_copy_440: (2520, 64, 32)@torch.float32) | Outputs: (bmm_31: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/_reshape_copy_441 [aten._reshape_copy.default] (Inputs: (bmm_31: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_441: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/permute_160 [aten.permute.default] (Inputs: (_reshape_copy_441: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_160: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/clone_171 [aten.clone.default] (Inputs: (permute_160: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_171: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn/_reshape_copy_442 [aten._reshape_copy.default] (Inputs: (clone_171: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_442: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn.proj/_reshape_copy_443 [aten._reshape_copy.default] (Inputs: (_reshape_copy_442: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_443: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn.proj/_frozen_param93 [_frozen_param93] (Inputs: () | Outputs: (_frozen_param93: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn.proj/addmm_61 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_attn_proj_bias: (256,)@float32, _reshape_copy_443: (20160, 256)@torch.float32, _frozen_param93: (256, 256)@float32) | Outputs: (addmm_61: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn.proj/_reshape_copy_444 [aten._reshape_copy.default] (Inputs: (addmm_61: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_444: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.attn.proj_drop/clone_172 [aten.clone.default] (Inputs: (_reshape_copy_444: (315, 64, 256)@torch.float32) | Outputs: (clone_172: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/_reshape_copy_445 [aten._reshape_copy.default] (Inputs: (clone_172: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_445: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/_reshape_copy_446 [aten._reshape_copy.default] (Inputs: (_reshape_copy_445: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_446: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/permute_162 [aten.permute.default] (Inputs: (_reshape_copy_446: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_162: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/clone_173 [aten.clone.default] (Inputs: (permute_162: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_173: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/_reshape_copy_447 [aten._reshape_copy.default] (Inputs: (clone_173: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_447: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/roll_15 [aten.roll.default] (Inputs: (_reshape_copy_447: (1, 120, 168, 256)@torch.float32, [4, 4], [1, 2]) | Outputs: (roll_15: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/_reshape_copy_448 [aten._reshape_copy.default] (Inputs: (roll_15: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_448: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/add_68 [aten.add.Tensor] (Inputs: (add_65: (1, 20160, 256)@torch.float32, _reshape_copy_448: (1, 20160, 256)@torch.float32) | Outputs: (add_68: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_norm2_weight [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_norm2_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.norm2/native_layer_norm_31 [aten.native_layer_norm.default] (Inputs: (add_68: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_31: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.norm2/getitem_117 [<built-in function getitem>] (Inputs: (native_layer_norm_31: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_117: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.mlp.fc1/_reshape_copy_449 [aten._reshape_copy.default] (Inputs: (getitem_117: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_449: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.mlp.fc1/_frozen_param94 [_frozen_param94] (Inputs: () | Outputs: (_frozen_param94: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.mlp.fc1/addmm_62 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_mlp_fc1_bias: (1024,)@float32, _reshape_copy_449: (20160, 256)@torch.float32, _frozen_param94: (256, 1024)@float32) | Outputs: (addmm_62: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.mlp.fc1/_reshape_copy_450 [aten._reshape_copy.default] (Inputs: (addmm_62: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_450: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.mlp.act/gelu_15 [aten.gelu.default] (Inputs: (_reshape_copy_450: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_15: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.mlp.drop/clone_174 [aten.clone.default] (Inputs: (gelu_15: (1, 20160, 1024)@torch.float32) | Outputs: (clone_174: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.mlp.fc2/_reshape_copy_451 [aten._reshape_copy.default] (Inputs: (clone_174: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_451: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.mlp.fc2/_frozen_param95 [_frozen_param95] (Inputs: () | Outputs: (_frozen_param95: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.mlp.fc2/addmm_63 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_3_mlp_fc2_bias: (256,)@float32, _reshape_copy_451: (20160, 1024)@torch.float32, _frozen_param95: (1024, 256)@float32) | Outputs: (addmm_63: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.mlp.fc2/_reshape_copy_452 [aten._reshape_copy.default] (Inputs: (addmm_63: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_452: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3.mlp.drop/clone_175 [aten.clone.default] (Inputs: (_reshape_copy_452: (1, 20160, 256)@torch.float32) | Outputs: (clone_175: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.3/add_69 [aten.add.Tensor] (Inputs: (add_68: (1, 20160, 256)@torch.float32, clone_175: (1, 20160, 256)@torch.float32) | Outputs: (add_69: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_norm1_weight [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_norm1_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.norm1/native_layer_norm_32 [aten.native_layer_norm.default] (Inputs: (add_69: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_32: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.norm1/getitem_120 [<built-in function getitem>] (Inputs: (native_layer_norm_32: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_120: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4/_reshape_copy_453 [aten._reshape_copy.default] (Inputs: (getitem_120: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_453: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4/_reshape_copy_454 [aten._reshape_copy.default] (Inputs: (_reshape_copy_453: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_454: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4/permute_165 [aten.permute.default] (Inputs: (_reshape_copy_454: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_165: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4/clone_176 [aten.clone.default] (Inputs: (permute_165: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_176: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4/_reshape_copy_455 [aten._reshape_copy.default] (Inputs: (clone_176: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_455: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4/_reshape_copy_456 [aten._reshape_copy.default] (Inputs: (_reshape_copy_455: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_456: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn.qkv/_reshape_copy_457 [aten._reshape_copy.default] (Inputs: (_reshape_copy_456: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_457: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn.qkv/_frozen_param96 [_frozen_param96] (Inputs: () | Outputs: (_frozen_param96: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn.qkv/addmm_64 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_attn_qkv_bias: (768,)@float32, _reshape_copy_457: (20160, 256)@torch.float32, _frozen_param96: (256, 768)@float32) | Outputs: (addmm_64: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn.qkv/_reshape_copy_458 [aten._reshape_copy.default] (Inputs: (addmm_64: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_458: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/_reshape_copy_459 [aten._reshape_copy.default] (Inputs: (_reshape_copy_458: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_459: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/permute_167 [aten.permute.default] (Inputs: (_reshape_copy_459: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_167: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/select_48 [aten.select.int] (Inputs: (permute_167: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_48: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/select_49 [aten.select.int] (Inputs: (permute_167: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_49: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/select_50 [aten.select.int] (Inputs: (permute_167: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_50: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/mul_24 [aten.mul.Tensor] (Inputs: (select_48: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_24: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/permute_168 [aten.permute.default] (Inputs: (select_49: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_168: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/expand_64 [aten.expand.default] (Inputs: (mul_24: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_64: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/clone_177 [aten.clone.default] (Inputs: (expand_64: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_177: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/_reshape_copy_460 [aten._reshape_copy.default] (Inputs: (clone_177: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_460: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/expand_65 [aten.expand.default] (Inputs: (permute_168: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_65: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/clone_178 [aten.clone.default] (Inputs: (expand_65: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_178: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/_reshape_copy_461 [aten._reshape_copy.default] (Inputs: (clone_178: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_461: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/bmm_32 [aten.bmm.default] (Inputs: (_reshape_copy_460: (2520, 64, 32)@torch.float32, _reshape_copy_461: (2520, 32, 64)@torch.float32) | Outputs: (bmm_32: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/_reshape_copy_462 [aten._reshape_copy.default] (Inputs: (bmm_32: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_462: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/_frozen_param97 [_frozen_param97] (Inputs: () | Outputs: (_frozen_param97: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/add_70 [aten.add.Tensor] (Inputs: (_reshape_copy_462: (315, 8, 64, 64)@torch.float32, _frozen_param97: (1, 8, 64, 64)@float32) | Outputs: (add_70: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/_reshape_copy_465 [aten._reshape_copy.default] (Inputs: (add_70: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_465: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/_frozen_param98 [_frozen_param98] (Inputs: () | Outputs: (_frozen_param98: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/add_71 [aten.add.Tensor] (Inputs: (_reshape_copy_465: (1, 315, 8, 64, 64)@torch.float32, _frozen_param98: (1, 315, 1, 64, 64)@float32) | Outputs: (add_71: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/_reshape_copy_466 [aten._reshape_copy.default] (Inputs: (add_71: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_466: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn.softmax/_softmax_16 [aten._softmax.default] (Inputs: (_reshape_copy_466: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_16: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn.attn_drop/clone_180 [aten.clone.default] (Inputs: (_softmax_16: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_180: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/expand_66 [aten.expand.default] (Inputs: (clone_180: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_66: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/_reshape_copy_467 [aten._reshape_copy.default] (Inputs: (expand_66: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_467: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/expand_67 [aten.expand.default] (Inputs: (select_50: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_67: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/clone_181 [aten.clone.default] (Inputs: (expand_67: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_181: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/_reshape_copy_468 [aten._reshape_copy.default] (Inputs: (clone_181: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_468: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/bmm_33 [aten.bmm.default] (Inputs: (_reshape_copy_467: (2520, 64, 64)@torch.float32, _reshape_copy_468: (2520, 64, 32)@torch.float32) | Outputs: (bmm_33: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/_reshape_copy_469 [aten._reshape_copy.default] (Inputs: (bmm_33: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_469: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/permute_170 [aten.permute.default] (Inputs: (_reshape_copy_469: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_170: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/clone_182 [aten.clone.default] (Inputs: (permute_170: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_182: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn/_reshape_copy_470 [aten._reshape_copy.default] (Inputs: (clone_182: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_470: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn.proj/_reshape_copy_471 [aten._reshape_copy.default] (Inputs: (_reshape_copy_470: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_471: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn.proj/_frozen_param99 [_frozen_param99] (Inputs: () | Outputs: (_frozen_param99: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn.proj/addmm_65 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_attn_proj_bias: (256,)@float32, _reshape_copy_471: (20160, 256)@torch.float32, _frozen_param99: (256, 256)@float32) | Outputs: (addmm_65: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn.proj/_reshape_copy_472 [aten._reshape_copy.default] (Inputs: (addmm_65: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_472: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.attn.proj_drop/clone_183 [aten.clone.default] (Inputs: (_reshape_copy_472: (315, 64, 256)@torch.float32) | Outputs: (clone_183: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4/_reshape_copy_473 [aten._reshape_copy.default] (Inputs: (clone_183: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_473: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4/_reshape_copy_474 [aten._reshape_copy.default] (Inputs: (_reshape_copy_473: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_474: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4/permute_172 [aten.permute.default] (Inputs: (_reshape_copy_474: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_172: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4/clone_184 [aten.clone.default] (Inputs: (permute_172: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_184: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4/_reshape_copy_475 [aten._reshape_copy.default] (Inputs: (clone_184: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_475: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4/_reshape_copy_476 [aten._reshape_copy.default] (Inputs: (_reshape_copy_475: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_476: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4/add_72 [aten.add.Tensor] (Inputs: (add_69: (1, 20160, 256)@torch.float32, _reshape_copy_476: (1, 20160, 256)@torch.float32) | Outputs: (add_72: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_norm2_weight [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_norm2_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.norm2/native_layer_norm_33 [aten.native_layer_norm.default] (Inputs: (add_72: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_33: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.norm2/getitem_123 [<built-in function getitem>] (Inputs: (native_layer_norm_33: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_123: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.mlp.fc1/_reshape_copy_477 [aten._reshape_copy.default] (Inputs: (getitem_123: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_477: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.mlp.fc1/_frozen_param100 [_frozen_param100] (Inputs: () | Outputs: (_frozen_param100: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.mlp.fc1/addmm_66 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_mlp_fc1_bias: (1024,)@float32, _reshape_copy_477: (20160, 256)@torch.float32, _frozen_param100: (256, 1024)@float32) | Outputs: (addmm_66: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.mlp.fc1/_reshape_copy_478 [aten._reshape_copy.default] (Inputs: (addmm_66: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_478: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.mlp.act/gelu_16 [aten.gelu.default] (Inputs: (_reshape_copy_478: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_16: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.mlp.drop/clone_185 [aten.clone.default] (Inputs: (gelu_16: (1, 20160, 1024)@torch.float32) | Outputs: (clone_185: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.mlp.fc2/_reshape_copy_479 [aten._reshape_copy.default] (Inputs: (clone_185: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_479: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.mlp.fc2/_frozen_param101 [_frozen_param101] (Inputs: () | Outputs: (_frozen_param101: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.mlp.fc2/addmm_67 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_4_mlp_fc2_bias: (256,)@float32, _reshape_copy_479: (20160, 1024)@torch.float32, _frozen_param101: (1024, 256)@float32) | Outputs: (addmm_67: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.mlp.fc2/_reshape_copy_480 [aten._reshape_copy.default] (Inputs: (addmm_67: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_480: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4.mlp.drop/clone_186 [aten.clone.default] (Inputs: (_reshape_copy_480: (1, 20160, 256)@torch.float32) | Outputs: (clone_186: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.4/add_73 [aten.add.Tensor] (Inputs: (add_72: (1, 20160, 256)@torch.float32, clone_186: (1, 20160, 256)@torch.float32) | Outputs: (add_73: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_norm1_weight [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_norm1_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.norm1/native_layer_norm_34 [aten.native_layer_norm.default] (Inputs: (add_73: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_34: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.norm1/getitem_126 [<built-in function getitem>] (Inputs: (native_layer_norm_34: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_126: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/_reshape_copy_481 [aten._reshape_copy.default] (Inputs: (getitem_126: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_481: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/roll_16 [aten.roll.default] (Inputs: (_reshape_copy_481: (1, 120, 168, 256)@torch.float32, [-4, -4], [1, 2]) | Outputs: (roll_16: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/_reshape_copy_482 [aten._reshape_copy.default] (Inputs: (roll_16: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_482: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/permute_175 [aten.permute.default] (Inputs: (_reshape_copy_482: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_175: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/clone_187 [aten.clone.default] (Inputs: (permute_175: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_187: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/_reshape_copy_483 [aten._reshape_copy.default] (Inputs: (clone_187: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_483: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/_reshape_copy_484 [aten._reshape_copy.default] (Inputs: (_reshape_copy_483: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_484: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn.qkv/_reshape_copy_485 [aten._reshape_copy.default] (Inputs: (_reshape_copy_484: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_485: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn.qkv/_frozen_param102 [_frozen_param102] (Inputs: () | Outputs: (_frozen_param102: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn.qkv/addmm_68 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_attn_qkv_bias: (768,)@float32, _reshape_copy_485: (20160, 256)@torch.float32, _frozen_param102: (256, 768)@float32) | Outputs: (addmm_68: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn.qkv/_reshape_copy_486 [aten._reshape_copy.default] (Inputs: (addmm_68: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_486: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/_reshape_copy_487 [aten._reshape_copy.default] (Inputs: (_reshape_copy_486: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_487: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/permute_177 [aten.permute.default] (Inputs: (_reshape_copy_487: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_177: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/select_51 [aten.select.int] (Inputs: (permute_177: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_51: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/select_52 [aten.select.int] (Inputs: (permute_177: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_52: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/select_53 [aten.select.int] (Inputs: (permute_177: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_53: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/mul_25 [aten.mul.Tensor] (Inputs: (select_51: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_25: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/permute_178 [aten.permute.default] (Inputs: (select_52: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_178: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/expand_68 [aten.expand.default] (Inputs: (mul_25: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_68: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/clone_188 [aten.clone.default] (Inputs: (expand_68: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_188: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/_reshape_copy_488 [aten._reshape_copy.default] (Inputs: (clone_188: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_488: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/expand_69 [aten.expand.default] (Inputs: (permute_178: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_69: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/clone_189 [aten.clone.default] (Inputs: (expand_69: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_189: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/_reshape_copy_489 [aten._reshape_copy.default] (Inputs: (clone_189: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_489: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/bmm_34 [aten.bmm.default] (Inputs: (_reshape_copy_488: (2520, 64, 32)@torch.float32, _reshape_copy_489: (2520, 32, 64)@torch.float32) | Outputs: (bmm_34: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/_reshape_copy_490 [aten._reshape_copy.default] (Inputs: (bmm_34: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_490: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/_frozen_param103 [_frozen_param103] (Inputs: () | Outputs: (_frozen_param103: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/add_74 [aten.add.Tensor] (Inputs: (_reshape_copy_490: (315, 8, 64, 64)@torch.float32, _frozen_param103: (1, 8, 64, 64)@float32) | Outputs: (add_74: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/_reshape_copy_493 [aten._reshape_copy.default] (Inputs: (add_74: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_493: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/_frozen_param104 [_frozen_param104] (Inputs: () | Outputs: (_frozen_param104: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/add_75 [aten.add.Tensor] (Inputs: (_reshape_copy_493: (1, 315, 8, 64, 64)@torch.float32, _frozen_param104: (1, 315, 1, 64, 64)@float32) | Outputs: (add_75: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/_reshape_copy_494 [aten._reshape_copy.default] (Inputs: (add_75: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_494: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn.softmax/_softmax_17 [aten._softmax.default] (Inputs: (_reshape_copy_494: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_17: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn.attn_drop/clone_191 [aten.clone.default] (Inputs: (_softmax_17: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_191: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/expand_70 [aten.expand.default] (Inputs: (clone_191: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_70: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/_reshape_copy_495 [aten._reshape_copy.default] (Inputs: (expand_70: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_495: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/expand_71 [aten.expand.default] (Inputs: (select_53: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_71: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/clone_192 [aten.clone.default] (Inputs: (expand_71: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_192: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/_reshape_copy_496 [aten._reshape_copy.default] (Inputs: (clone_192: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_496: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/bmm_35 [aten.bmm.default] (Inputs: (_reshape_copy_495: (2520, 64, 64)@torch.float32, _reshape_copy_496: (2520, 64, 32)@torch.float32) | Outputs: (bmm_35: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/_reshape_copy_497 [aten._reshape_copy.default] (Inputs: (bmm_35: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_497: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/permute_180 [aten.permute.default] (Inputs: (_reshape_copy_497: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_180: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/clone_193 [aten.clone.default] (Inputs: (permute_180: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_193: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn/_reshape_copy_498 [aten._reshape_copy.default] (Inputs: (clone_193: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_498: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn.proj/_reshape_copy_499 [aten._reshape_copy.default] (Inputs: (_reshape_copy_498: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_499: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn.proj/_frozen_param105 [_frozen_param105] (Inputs: () | Outputs: (_frozen_param105: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn.proj/addmm_69 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_attn_proj_bias: (256,)@float32, _reshape_copy_499: (20160, 256)@torch.float32, _frozen_param105: (256, 256)@float32) | Outputs: (addmm_69: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn.proj/_reshape_copy_500 [aten._reshape_copy.default] (Inputs: (addmm_69: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_500: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.attn.proj_drop/clone_194 [aten.clone.default] (Inputs: (_reshape_copy_500: (315, 64, 256)@torch.float32) | Outputs: (clone_194: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/_reshape_copy_501 [aten._reshape_copy.default] (Inputs: (clone_194: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_501: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/_reshape_copy_502 [aten._reshape_copy.default] (Inputs: (_reshape_copy_501: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_502: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/permute_182 [aten.permute.default] (Inputs: (_reshape_copy_502: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_182: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/clone_195 [aten.clone.default] (Inputs: (permute_182: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_195: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/_reshape_copy_503 [aten._reshape_copy.default] (Inputs: (clone_195: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_503: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/roll_17 [aten.roll.default] (Inputs: (_reshape_copy_503: (1, 120, 168, 256)@torch.float32, [4, 4], [1, 2]) | Outputs: (roll_17: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/_reshape_copy_504 [aten._reshape_copy.default] (Inputs: (roll_17: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_504: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/add_76 [aten.add.Tensor] (Inputs: (add_73: (1, 20160, 256)@torch.float32, _reshape_copy_504: (1, 20160, 256)@torch.float32) | Outputs: (add_76: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_norm2_weight [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_norm2_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.norm2/native_layer_norm_35 [aten.native_layer_norm.default] (Inputs: (add_76: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_35: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.norm2/getitem_129 [<built-in function getitem>] (Inputs: (native_layer_norm_35: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_129: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.mlp.fc1/_reshape_copy_505 [aten._reshape_copy.default] (Inputs: (getitem_129: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_505: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.mlp.fc1/_frozen_param106 [_frozen_param106] (Inputs: () | Outputs: (_frozen_param106: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.mlp.fc1/addmm_70 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_mlp_fc1_bias: (1024,)@float32, _reshape_copy_505: (20160, 256)@torch.float32, _frozen_param106: (256, 1024)@float32) | Outputs: (addmm_70: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.mlp.fc1/_reshape_copy_506 [aten._reshape_copy.default] (Inputs: (addmm_70: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_506: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.mlp.act/gelu_17 [aten.gelu.default] (Inputs: (_reshape_copy_506: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_17: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.mlp.drop/clone_196 [aten.clone.default] (Inputs: (gelu_17: (1, 20160, 1024)@torch.float32) | Outputs: (clone_196: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.mlp.fc2/_reshape_copy_507 [aten._reshape_copy.default] (Inputs: (clone_196: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_507: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.mlp.fc2/_frozen_param107 [_frozen_param107] (Inputs: () | Outputs: (_frozen_param107: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.mlp.fc2/addmm_71 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_2_residual_group_blocks_5_mlp_fc2_bias: (256,)@float32, _reshape_copy_507: (20160, 1024)@torch.float32, _frozen_param107: (1024, 256)@float32) | Outputs: (addmm_71: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.mlp.fc2/_reshape_copy_508 [aten._reshape_copy.default] (Inputs: (addmm_71: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_508: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5.mlp.drop/clone_197 [aten.clone.default] (Inputs: (_reshape_copy_508: (1, 20160, 256)@torch.float32) | Outputs: (clone_197: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.residual_group.blocks.5/add_77 [aten.add.Tensor] (Inputs: (add_76: (1, 20160, 256)@torch.float32, clone_197: (1, 20160, 256)@torch.float32) | Outputs: (add_77: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.patch_unembed/permute_185 [aten.permute.default] (Inputs: (add_77: (1, 20160, 256)@torch.float32, [0, 2, 1]) | Outputs: (permute_185: (1, 256, 20160)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.patch_unembed/_reshape_copy_509 [aten._reshape_copy.default] (Inputs: (permute_185: (1, 256, 20160)@torch.float32, [1, 256, 120, 168]) | Outputs: (_reshape_copy_509: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_conv_weight [multiscale_encoder.blocks.2.swin_blks.2.conv.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_conv_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_2_conv_bias [multiscale_encoder.blocks.2.swin_blks.2.conv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_2_conv_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.conv/convolution_13 [aten.convolution.default] (Inputs: (_reshape_copy_509: (1, 256, 120, 168)@torch.float32, multiscale_encoder_blocks_2_swin_blks_2_conv_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_2_swin_blks_2_conv_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_13: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.patch_embed/_reshape_copy_510 [aten._reshape_copy.default] (Inputs: (convolution_13: (1, 256, 120, 168)@torch.float32, [1, 256, 20160]) | Outputs: (_reshape_copy_510: (1, 256, 20160)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2.patch_embed/permute_186 [aten.permute.default] (Inputs: (_reshape_copy_510: (1, 256, 20160)@torch.float32, [0, 2, 1]) | Outputs: (permute_186: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.2/add_78 [aten.add.Tensor] (Inputs: (permute_186: (1, 20160, 256)@torch.float32, add_53: (1, 20160, 256)@torch.float32) | Outputs: (add_78: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_norm1_weight [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_norm1_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.norm1/native_layer_norm_36 [aten.native_layer_norm.default] (Inputs: (add_78: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_36: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.norm1/getitem_132 [<built-in function getitem>] (Inputs: (native_layer_norm_36: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_132: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0/_reshape_copy_511 [aten._reshape_copy.default] (Inputs: (getitem_132: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_511: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0/_reshape_copy_512 [aten._reshape_copy.default] (Inputs: (_reshape_copy_511: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_512: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0/permute_187 [aten.permute.default] (Inputs: (_reshape_copy_512: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_187: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0/clone_198 [aten.clone.default] (Inputs: (permute_187: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_198: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0/_reshape_copy_513 [aten._reshape_copy.default] (Inputs: (clone_198: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_513: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0/_reshape_copy_514 [aten._reshape_copy.default] (Inputs: (_reshape_copy_513: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_514: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn.qkv/_reshape_copy_515 [aten._reshape_copy.default] (Inputs: (_reshape_copy_514: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_515: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn.qkv/_frozen_param108 [_frozen_param108] (Inputs: () | Outputs: (_frozen_param108: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn.qkv/addmm_72 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_attn_qkv_bias: (768,)@float32, _reshape_copy_515: (20160, 256)@torch.float32, _frozen_param108: (256, 768)@float32) | Outputs: (addmm_72: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn.qkv/_reshape_copy_516 [aten._reshape_copy.default] (Inputs: (addmm_72: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_516: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/_reshape_copy_517 [aten._reshape_copy.default] (Inputs: (_reshape_copy_516: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_517: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/permute_189 [aten.permute.default] (Inputs: (_reshape_copy_517: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_189: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/select_54 [aten.select.int] (Inputs: (permute_189: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_54: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/select_55 [aten.select.int] (Inputs: (permute_189: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_55: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/select_56 [aten.select.int] (Inputs: (permute_189: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_56: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/mul_26 [aten.mul.Tensor] (Inputs: (select_54: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_26: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/permute_190 [aten.permute.default] (Inputs: (select_55: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_190: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/expand_72 [aten.expand.default] (Inputs: (mul_26: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_72: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/clone_199 [aten.clone.default] (Inputs: (expand_72: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_199: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/_reshape_copy_518 [aten._reshape_copy.default] (Inputs: (clone_199: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_518: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/expand_73 [aten.expand.default] (Inputs: (permute_190: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_73: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/clone_200 [aten.clone.default] (Inputs: (expand_73: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_200: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/_reshape_copy_519 [aten._reshape_copy.default] (Inputs: (clone_200: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_519: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/bmm_36 [aten.bmm.default] (Inputs: (_reshape_copy_518: (2520, 64, 32)@torch.float32, _reshape_copy_519: (2520, 32, 64)@torch.float32) | Outputs: (bmm_36: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/_reshape_copy_520 [aten._reshape_copy.default] (Inputs: (bmm_36: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_520: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/_frozen_param109 [_frozen_param109] (Inputs: () | Outputs: (_frozen_param109: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/add_79 [aten.add.Tensor] (Inputs: (_reshape_copy_520: (315, 8, 64, 64)@torch.float32, _frozen_param109: (1, 8, 64, 64)@float32) | Outputs: (add_79: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/_reshape_copy_523 [aten._reshape_copy.default] (Inputs: (add_79: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_523: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/_frozen_param110 [_frozen_param110] (Inputs: () | Outputs: (_frozen_param110: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/add_80 [aten.add.Tensor] (Inputs: (_reshape_copy_523: (1, 315, 8, 64, 64)@torch.float32, _frozen_param110: (1, 315, 1, 64, 64)@float32) | Outputs: (add_80: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/_reshape_copy_524 [aten._reshape_copy.default] (Inputs: (add_80: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_524: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn.softmax/_softmax_18 [aten._softmax.default] (Inputs: (_reshape_copy_524: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_18: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn.attn_drop/clone_202 [aten.clone.default] (Inputs: (_softmax_18: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_202: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/expand_74 [aten.expand.default] (Inputs: (clone_202: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_74: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/_reshape_copy_525 [aten._reshape_copy.default] (Inputs: (expand_74: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_525: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/expand_75 [aten.expand.default] (Inputs: (select_56: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_75: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/clone_203 [aten.clone.default] (Inputs: (expand_75: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_203: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/_reshape_copy_526 [aten._reshape_copy.default] (Inputs: (clone_203: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_526: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/bmm_37 [aten.bmm.default] (Inputs: (_reshape_copy_525: (2520, 64, 64)@torch.float32, _reshape_copy_526: (2520, 64, 32)@torch.float32) | Outputs: (bmm_37: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/_reshape_copy_527 [aten._reshape_copy.default] (Inputs: (bmm_37: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_527: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/permute_192 [aten.permute.default] (Inputs: (_reshape_copy_527: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_192: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/clone_204 [aten.clone.default] (Inputs: (permute_192: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_204: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn/_reshape_copy_528 [aten._reshape_copy.default] (Inputs: (clone_204: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_528: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn.proj/_reshape_copy_529 [aten._reshape_copy.default] (Inputs: (_reshape_copy_528: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_529: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn.proj/_frozen_param111 [_frozen_param111] (Inputs: () | Outputs: (_frozen_param111: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn.proj/addmm_73 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_attn_proj_bias: (256,)@float32, _reshape_copy_529: (20160, 256)@torch.float32, _frozen_param111: (256, 256)@float32) | Outputs: (addmm_73: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn.proj/_reshape_copy_530 [aten._reshape_copy.default] (Inputs: (addmm_73: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_530: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.attn.proj_drop/clone_205 [aten.clone.default] (Inputs: (_reshape_copy_530: (315, 64, 256)@torch.float32) | Outputs: (clone_205: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0/_reshape_copy_531 [aten._reshape_copy.default] (Inputs: (clone_205: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_531: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0/_reshape_copy_532 [aten._reshape_copy.default] (Inputs: (_reshape_copy_531: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_532: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0/permute_194 [aten.permute.default] (Inputs: (_reshape_copy_532: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_194: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0/clone_206 [aten.clone.default] (Inputs: (permute_194: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_206: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0/_reshape_copy_533 [aten._reshape_copy.default] (Inputs: (clone_206: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_533: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0/_reshape_copy_534 [aten._reshape_copy.default] (Inputs: (_reshape_copy_533: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_534: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0/add_81 [aten.add.Tensor] (Inputs: (add_78: (1, 20160, 256)@torch.float32, _reshape_copy_534: (1, 20160, 256)@torch.float32) | Outputs: (add_81: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_norm2_weight [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_norm2_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.norm2/native_layer_norm_37 [aten.native_layer_norm.default] (Inputs: (add_81: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_37: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.norm2/getitem_135 [<built-in function getitem>] (Inputs: (native_layer_norm_37: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_135: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.mlp.fc1/_reshape_copy_535 [aten._reshape_copy.default] (Inputs: (getitem_135: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_535: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.mlp.fc1/_frozen_param112 [_frozen_param112] (Inputs: () | Outputs: (_frozen_param112: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.mlp.fc1/addmm_74 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_mlp_fc1_bias: (1024,)@float32, _reshape_copy_535: (20160, 256)@torch.float32, _frozen_param112: (256, 1024)@float32) | Outputs: (addmm_74: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.mlp.fc1/_reshape_copy_536 [aten._reshape_copy.default] (Inputs: (addmm_74: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_536: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.mlp.act/gelu_18 [aten.gelu.default] (Inputs: (_reshape_copy_536: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_18: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.mlp.drop/clone_207 [aten.clone.default] (Inputs: (gelu_18: (1, 20160, 1024)@torch.float32) | Outputs: (clone_207: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.mlp.fc2/_reshape_copy_537 [aten._reshape_copy.default] (Inputs: (clone_207: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_537: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.mlp.fc2/_frozen_param113 [_frozen_param113] (Inputs: () | Outputs: (_frozen_param113: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.mlp.fc2/addmm_75 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_0_mlp_fc2_bias: (256,)@float32, _reshape_copy_537: (20160, 1024)@torch.float32, _frozen_param113: (1024, 256)@float32) | Outputs: (addmm_75: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.mlp.fc2/_reshape_copy_538 [aten._reshape_copy.default] (Inputs: (addmm_75: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_538: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0.mlp.drop/clone_208 [aten.clone.default] (Inputs: (_reshape_copy_538: (1, 20160, 256)@torch.float32) | Outputs: (clone_208: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.0/add_82 [aten.add.Tensor] (Inputs: (add_81: (1, 20160, 256)@torch.float32, clone_208: (1, 20160, 256)@torch.float32) | Outputs: (add_82: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_norm1_weight [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_norm1_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.norm1/native_layer_norm_38 [aten.native_layer_norm.default] (Inputs: (add_82: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_38: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.norm1/getitem_138 [<built-in function getitem>] (Inputs: (native_layer_norm_38: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_138: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/_reshape_copy_539 [aten._reshape_copy.default] (Inputs: (getitem_138: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_539: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/roll_18 [aten.roll.default] (Inputs: (_reshape_copy_539: (1, 120, 168, 256)@torch.float32, [-4, -4], [1, 2]) | Outputs: (roll_18: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/_reshape_copy_540 [aten._reshape_copy.default] (Inputs: (roll_18: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_540: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/permute_197 [aten.permute.default] (Inputs: (_reshape_copy_540: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_197: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/clone_209 [aten.clone.default] (Inputs: (permute_197: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_209: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/_reshape_copy_541 [aten._reshape_copy.default] (Inputs: (clone_209: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_541: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/_reshape_copy_542 [aten._reshape_copy.default] (Inputs: (_reshape_copy_541: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_542: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn.qkv/_reshape_copy_543 [aten._reshape_copy.default] (Inputs: (_reshape_copy_542: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_543: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn.qkv/_frozen_param114 [_frozen_param114] (Inputs: () | Outputs: (_frozen_param114: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn.qkv/addmm_76 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_attn_qkv_bias: (768,)@float32, _reshape_copy_543: (20160, 256)@torch.float32, _frozen_param114: (256, 768)@float32) | Outputs: (addmm_76: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn.qkv/_reshape_copy_544 [aten._reshape_copy.default] (Inputs: (addmm_76: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_544: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/_reshape_copy_545 [aten._reshape_copy.default] (Inputs: (_reshape_copy_544: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_545: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/permute_199 [aten.permute.default] (Inputs: (_reshape_copy_545: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_199: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/select_57 [aten.select.int] (Inputs: (permute_199: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_57: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/select_58 [aten.select.int] (Inputs: (permute_199: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_58: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/select_59 [aten.select.int] (Inputs: (permute_199: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_59: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/mul_27 [aten.mul.Tensor] (Inputs: (select_57: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_27: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/permute_200 [aten.permute.default] (Inputs: (select_58: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_200: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/expand_76 [aten.expand.default] (Inputs: (mul_27: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_76: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/clone_210 [aten.clone.default] (Inputs: (expand_76: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_210: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/_reshape_copy_546 [aten._reshape_copy.default] (Inputs: (clone_210: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_546: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/expand_77 [aten.expand.default] (Inputs: (permute_200: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_77: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/clone_211 [aten.clone.default] (Inputs: (expand_77: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_211: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/_reshape_copy_547 [aten._reshape_copy.default] (Inputs: (clone_211: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_547: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/bmm_38 [aten.bmm.default] (Inputs: (_reshape_copy_546: (2520, 64, 32)@torch.float32, _reshape_copy_547: (2520, 32, 64)@torch.float32) | Outputs: (bmm_38: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/_reshape_copy_548 [aten._reshape_copy.default] (Inputs: (bmm_38: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_548: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/_frozen_param115 [_frozen_param115] (Inputs: () | Outputs: (_frozen_param115: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/add_83 [aten.add.Tensor] (Inputs: (_reshape_copy_548: (315, 8, 64, 64)@torch.float32, _frozen_param115: (1, 8, 64, 64)@float32) | Outputs: (add_83: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/_reshape_copy_551 [aten._reshape_copy.default] (Inputs: (add_83: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_551: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/_frozen_param116 [_frozen_param116] (Inputs: () | Outputs: (_frozen_param116: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/add_84 [aten.add.Tensor] (Inputs: (_reshape_copy_551: (1, 315, 8, 64, 64)@torch.float32, _frozen_param116: (1, 315, 1, 64, 64)@float32) | Outputs: (add_84: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/_reshape_copy_552 [aten._reshape_copy.default] (Inputs: (add_84: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_552: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn.softmax/_softmax_19 [aten._softmax.default] (Inputs: (_reshape_copy_552: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_19: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn.attn_drop/clone_213 [aten.clone.default] (Inputs: (_softmax_19: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_213: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/expand_78 [aten.expand.default] (Inputs: (clone_213: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_78: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/_reshape_copy_553 [aten._reshape_copy.default] (Inputs: (expand_78: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_553: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/expand_79 [aten.expand.default] (Inputs: (select_59: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_79: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/clone_214 [aten.clone.default] (Inputs: (expand_79: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_214: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/_reshape_copy_554 [aten._reshape_copy.default] (Inputs: (clone_214: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_554: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/bmm_39 [aten.bmm.default] (Inputs: (_reshape_copy_553: (2520, 64, 64)@torch.float32, _reshape_copy_554: (2520, 64, 32)@torch.float32) | Outputs: (bmm_39: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/_reshape_copy_555 [aten._reshape_copy.default] (Inputs: (bmm_39: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_555: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/permute_202 [aten.permute.default] (Inputs: (_reshape_copy_555: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_202: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/clone_215 [aten.clone.default] (Inputs: (permute_202: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_215: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn/_reshape_copy_556 [aten._reshape_copy.default] (Inputs: (clone_215: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_556: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn.proj/_reshape_copy_557 [aten._reshape_copy.default] (Inputs: (_reshape_copy_556: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_557: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn.proj/_frozen_param117 [_frozen_param117] (Inputs: () | Outputs: (_frozen_param117: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn.proj/addmm_77 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_attn_proj_bias: (256,)@float32, _reshape_copy_557: (20160, 256)@torch.float32, _frozen_param117: (256, 256)@float32) | Outputs: (addmm_77: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn.proj/_reshape_copy_558 [aten._reshape_copy.default] (Inputs: (addmm_77: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_558: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.attn.proj_drop/clone_216 [aten.clone.default] (Inputs: (_reshape_copy_558: (315, 64, 256)@torch.float32) | Outputs: (clone_216: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/_reshape_copy_559 [aten._reshape_copy.default] (Inputs: (clone_216: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_559: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/_reshape_copy_560 [aten._reshape_copy.default] (Inputs: (_reshape_copy_559: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_560: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/permute_204 [aten.permute.default] (Inputs: (_reshape_copy_560: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_204: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/clone_217 [aten.clone.default] (Inputs: (permute_204: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_217: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/_reshape_copy_561 [aten._reshape_copy.default] (Inputs: (clone_217: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_561: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/roll_19 [aten.roll.default] (Inputs: (_reshape_copy_561: (1, 120, 168, 256)@torch.float32, [4, 4], [1, 2]) | Outputs: (roll_19: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/_reshape_copy_562 [aten._reshape_copy.default] (Inputs: (roll_19: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_562: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/add_85 [aten.add.Tensor] (Inputs: (add_82: (1, 20160, 256)@torch.float32, _reshape_copy_562: (1, 20160, 256)@torch.float32) | Outputs: (add_85: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_norm2_weight [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_norm2_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.norm2/native_layer_norm_39 [aten.native_layer_norm.default] (Inputs: (add_85: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_39: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.norm2/getitem_141 [<built-in function getitem>] (Inputs: (native_layer_norm_39: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_141: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.mlp.fc1/_reshape_copy_563 [aten._reshape_copy.default] (Inputs: (getitem_141: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_563: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.mlp.fc1/_frozen_param118 [_frozen_param118] (Inputs: () | Outputs: (_frozen_param118: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.mlp.fc1/addmm_78 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_mlp_fc1_bias: (1024,)@float32, _reshape_copy_563: (20160, 256)@torch.float32, _frozen_param118: (256, 1024)@float32) | Outputs: (addmm_78: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.mlp.fc1/_reshape_copy_564 [aten._reshape_copy.default] (Inputs: (addmm_78: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_564: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.mlp.act/gelu_19 [aten.gelu.default] (Inputs: (_reshape_copy_564: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_19: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.mlp.drop/clone_218 [aten.clone.default] (Inputs: (gelu_19: (1, 20160, 1024)@torch.float32) | Outputs: (clone_218: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.mlp.fc2/_reshape_copy_565 [aten._reshape_copy.default] (Inputs: (clone_218: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_565: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.mlp.fc2/_frozen_param119 [_frozen_param119] (Inputs: () | Outputs: (_frozen_param119: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.mlp.fc2/addmm_79 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_1_mlp_fc2_bias: (256,)@float32, _reshape_copy_565: (20160, 1024)@torch.float32, _frozen_param119: (1024, 256)@float32) | Outputs: (addmm_79: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.mlp.fc2/_reshape_copy_566 [aten._reshape_copy.default] (Inputs: (addmm_79: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_566: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1.mlp.drop/clone_219 [aten.clone.default] (Inputs: (_reshape_copy_566: (1, 20160, 256)@torch.float32) | Outputs: (clone_219: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.1/add_86 [aten.add.Tensor] (Inputs: (add_85: (1, 20160, 256)@torch.float32, clone_219: (1, 20160, 256)@torch.float32) | Outputs: (add_86: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_norm1_weight [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_norm1_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.norm1/native_layer_norm_40 [aten.native_layer_norm.default] (Inputs: (add_86: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_40: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.norm1/getitem_144 [<built-in function getitem>] (Inputs: (native_layer_norm_40: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_144: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2/_reshape_copy_567 [aten._reshape_copy.default] (Inputs: (getitem_144: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_567: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2/_reshape_copy_568 [aten._reshape_copy.default] (Inputs: (_reshape_copy_567: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_568: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2/permute_207 [aten.permute.default] (Inputs: (_reshape_copy_568: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_207: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2/clone_220 [aten.clone.default] (Inputs: (permute_207: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_220: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2/_reshape_copy_569 [aten._reshape_copy.default] (Inputs: (clone_220: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_569: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2/_reshape_copy_570 [aten._reshape_copy.default] (Inputs: (_reshape_copy_569: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_570: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn.qkv/_reshape_copy_571 [aten._reshape_copy.default] (Inputs: (_reshape_copy_570: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_571: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn.qkv/_frozen_param120 [_frozen_param120] (Inputs: () | Outputs: (_frozen_param120: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn.qkv/addmm_80 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_attn_qkv_bias: (768,)@float32, _reshape_copy_571: (20160, 256)@torch.float32, _frozen_param120: (256, 768)@float32) | Outputs: (addmm_80: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn.qkv/_reshape_copy_572 [aten._reshape_copy.default] (Inputs: (addmm_80: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_572: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/_reshape_copy_573 [aten._reshape_copy.default] (Inputs: (_reshape_copy_572: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_573: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/permute_209 [aten.permute.default] (Inputs: (_reshape_copy_573: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_209: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/select_60 [aten.select.int] (Inputs: (permute_209: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_60: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/select_61 [aten.select.int] (Inputs: (permute_209: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_61: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/select_62 [aten.select.int] (Inputs: (permute_209: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_62: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/mul_28 [aten.mul.Tensor] (Inputs: (select_60: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_28: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/permute_210 [aten.permute.default] (Inputs: (select_61: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_210: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/expand_80 [aten.expand.default] (Inputs: (mul_28: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_80: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/clone_221 [aten.clone.default] (Inputs: (expand_80: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_221: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/_reshape_copy_574 [aten._reshape_copy.default] (Inputs: (clone_221: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_574: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/expand_81 [aten.expand.default] (Inputs: (permute_210: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_81: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/clone_222 [aten.clone.default] (Inputs: (expand_81: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_222: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/_reshape_copy_575 [aten._reshape_copy.default] (Inputs: (clone_222: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_575: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/bmm_40 [aten.bmm.default] (Inputs: (_reshape_copy_574: (2520, 64, 32)@torch.float32, _reshape_copy_575: (2520, 32, 64)@torch.float32) | Outputs: (bmm_40: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/_reshape_copy_576 [aten._reshape_copy.default] (Inputs: (bmm_40: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_576: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/_frozen_param121 [_frozen_param121] (Inputs: () | Outputs: (_frozen_param121: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/add_87 [aten.add.Tensor] (Inputs: (_reshape_copy_576: (315, 8, 64, 64)@torch.float32, _frozen_param121: (1, 8, 64, 64)@float32) | Outputs: (add_87: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/_reshape_copy_579 [aten._reshape_copy.default] (Inputs: (add_87: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_579: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/_frozen_param122 [_frozen_param122] (Inputs: () | Outputs: (_frozen_param122: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/add_88 [aten.add.Tensor] (Inputs: (_reshape_copy_579: (1, 315, 8, 64, 64)@torch.float32, _frozen_param122: (1, 315, 1, 64, 64)@float32) | Outputs: (add_88: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/_reshape_copy_580 [aten._reshape_copy.default] (Inputs: (add_88: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_580: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn.softmax/_softmax_20 [aten._softmax.default] (Inputs: (_reshape_copy_580: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_20: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn.attn_drop/clone_224 [aten.clone.default] (Inputs: (_softmax_20: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_224: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/expand_82 [aten.expand.default] (Inputs: (clone_224: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_82: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/_reshape_copy_581 [aten._reshape_copy.default] (Inputs: (expand_82: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_581: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/expand_83 [aten.expand.default] (Inputs: (select_62: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_83: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/clone_225 [aten.clone.default] (Inputs: (expand_83: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_225: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/_reshape_copy_582 [aten._reshape_copy.default] (Inputs: (clone_225: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_582: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/bmm_41 [aten.bmm.default] (Inputs: (_reshape_copy_581: (2520, 64, 64)@torch.float32, _reshape_copy_582: (2520, 64, 32)@torch.float32) | Outputs: (bmm_41: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/_reshape_copy_583 [aten._reshape_copy.default] (Inputs: (bmm_41: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_583: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/permute_212 [aten.permute.default] (Inputs: (_reshape_copy_583: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_212: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/clone_226 [aten.clone.default] (Inputs: (permute_212: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_226: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn/_reshape_copy_584 [aten._reshape_copy.default] (Inputs: (clone_226: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_584: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn.proj/_reshape_copy_585 [aten._reshape_copy.default] (Inputs: (_reshape_copy_584: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_585: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn.proj/_frozen_param123 [_frozen_param123] (Inputs: () | Outputs: (_frozen_param123: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn.proj/addmm_81 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_attn_proj_bias: (256,)@float32, _reshape_copy_585: (20160, 256)@torch.float32, _frozen_param123: (256, 256)@float32) | Outputs: (addmm_81: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn.proj/_reshape_copy_586 [aten._reshape_copy.default] (Inputs: (addmm_81: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_586: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.attn.proj_drop/clone_227 [aten.clone.default] (Inputs: (_reshape_copy_586: (315, 64, 256)@torch.float32) | Outputs: (clone_227: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2/_reshape_copy_587 [aten._reshape_copy.default] (Inputs: (clone_227: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_587: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2/_reshape_copy_588 [aten._reshape_copy.default] (Inputs: (_reshape_copy_587: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_588: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2/permute_214 [aten.permute.default] (Inputs: (_reshape_copy_588: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_214: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2/clone_228 [aten.clone.default] (Inputs: (permute_214: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_228: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2/_reshape_copy_589 [aten._reshape_copy.default] (Inputs: (clone_228: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_589: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2/_reshape_copy_590 [aten._reshape_copy.default] (Inputs: (_reshape_copy_589: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_590: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2/add_89 [aten.add.Tensor] (Inputs: (add_86: (1, 20160, 256)@torch.float32, _reshape_copy_590: (1, 20160, 256)@torch.float32) | Outputs: (add_89: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_norm2_weight [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_norm2_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.norm2/native_layer_norm_41 [aten.native_layer_norm.default] (Inputs: (add_89: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_41: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.norm2/getitem_147 [<built-in function getitem>] (Inputs: (native_layer_norm_41: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_147: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.mlp.fc1/_reshape_copy_591 [aten._reshape_copy.default] (Inputs: (getitem_147: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_591: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.mlp.fc1/_frozen_param124 [_frozen_param124] (Inputs: () | Outputs: (_frozen_param124: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.mlp.fc1/addmm_82 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_mlp_fc1_bias: (1024,)@float32, _reshape_copy_591: (20160, 256)@torch.float32, _frozen_param124: (256, 1024)@float32) | Outputs: (addmm_82: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.mlp.fc1/_reshape_copy_592 [aten._reshape_copy.default] (Inputs: (addmm_82: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_592: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.mlp.act/gelu_20 [aten.gelu.default] (Inputs: (_reshape_copy_592: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_20: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.mlp.drop/clone_229 [aten.clone.default] (Inputs: (gelu_20: (1, 20160, 1024)@torch.float32) | Outputs: (clone_229: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.mlp.fc2/_reshape_copy_593 [aten._reshape_copy.default] (Inputs: (clone_229: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_593: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.mlp.fc2/_frozen_param125 [_frozen_param125] (Inputs: () | Outputs: (_frozen_param125: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.mlp.fc2/addmm_83 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_2_mlp_fc2_bias: (256,)@float32, _reshape_copy_593: (20160, 1024)@torch.float32, _frozen_param125: (1024, 256)@float32) | Outputs: (addmm_83: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.mlp.fc2/_reshape_copy_594 [aten._reshape_copy.default] (Inputs: (addmm_83: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_594: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2.mlp.drop/clone_230 [aten.clone.default] (Inputs: (_reshape_copy_594: (1, 20160, 256)@torch.float32) | Outputs: (clone_230: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.2/add_90 [aten.add.Tensor] (Inputs: (add_89: (1, 20160, 256)@torch.float32, clone_230: (1, 20160, 256)@torch.float32) | Outputs: (add_90: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_norm1_weight [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_norm1_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.norm1/native_layer_norm_42 [aten.native_layer_norm.default] (Inputs: (add_90: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_42: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.norm1/getitem_150 [<built-in function getitem>] (Inputs: (native_layer_norm_42: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_150: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/_reshape_copy_595 [aten._reshape_copy.default] (Inputs: (getitem_150: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_595: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/roll_20 [aten.roll.default] (Inputs: (_reshape_copy_595: (1, 120, 168, 256)@torch.float32, [-4, -4], [1, 2]) | Outputs: (roll_20: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/_reshape_copy_596 [aten._reshape_copy.default] (Inputs: (roll_20: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_596: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/permute_217 [aten.permute.default] (Inputs: (_reshape_copy_596: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_217: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/clone_231 [aten.clone.default] (Inputs: (permute_217: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_231: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/_reshape_copy_597 [aten._reshape_copy.default] (Inputs: (clone_231: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_597: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/_reshape_copy_598 [aten._reshape_copy.default] (Inputs: (_reshape_copy_597: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_598: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn.qkv/_reshape_copy_599 [aten._reshape_copy.default] (Inputs: (_reshape_copy_598: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_599: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn.qkv/_frozen_param126 [_frozen_param126] (Inputs: () | Outputs: (_frozen_param126: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn.qkv/addmm_84 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_attn_qkv_bias: (768,)@float32, _reshape_copy_599: (20160, 256)@torch.float32, _frozen_param126: (256, 768)@float32) | Outputs: (addmm_84: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn.qkv/_reshape_copy_600 [aten._reshape_copy.default] (Inputs: (addmm_84: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_600: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/_reshape_copy_601 [aten._reshape_copy.default] (Inputs: (_reshape_copy_600: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_601: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/permute_219 [aten.permute.default] (Inputs: (_reshape_copy_601: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_219: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/select_63 [aten.select.int] (Inputs: (permute_219: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_63: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/select_64 [aten.select.int] (Inputs: (permute_219: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_64: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/select_65 [aten.select.int] (Inputs: (permute_219: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_65: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/mul_29 [aten.mul.Tensor] (Inputs: (select_63: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_29: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/permute_220 [aten.permute.default] (Inputs: (select_64: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_220: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/expand_84 [aten.expand.default] (Inputs: (mul_29: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_84: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/clone_232 [aten.clone.default] (Inputs: (expand_84: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_232: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/_reshape_copy_602 [aten._reshape_copy.default] (Inputs: (clone_232: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_602: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/expand_85 [aten.expand.default] (Inputs: (permute_220: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_85: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/clone_233 [aten.clone.default] (Inputs: (expand_85: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_233: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/_reshape_copy_603 [aten._reshape_copy.default] (Inputs: (clone_233: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_603: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/bmm_42 [aten.bmm.default] (Inputs: (_reshape_copy_602: (2520, 64, 32)@torch.float32, _reshape_copy_603: (2520, 32, 64)@torch.float32) | Outputs: (bmm_42: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/_reshape_copy_604 [aten._reshape_copy.default] (Inputs: (bmm_42: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_604: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/_frozen_param127 [_frozen_param127] (Inputs: () | Outputs: (_frozen_param127: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/add_91 [aten.add.Tensor] (Inputs: (_reshape_copy_604: (315, 8, 64, 64)@torch.float32, _frozen_param127: (1, 8, 64, 64)@float32) | Outputs: (add_91: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/_reshape_copy_607 [aten._reshape_copy.default] (Inputs: (add_91: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_607: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/_frozen_param128 [_frozen_param128] (Inputs: () | Outputs: (_frozen_param128: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/add_92 [aten.add.Tensor] (Inputs: (_reshape_copy_607: (1, 315, 8, 64, 64)@torch.float32, _frozen_param128: (1, 315, 1, 64, 64)@float32) | Outputs: (add_92: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/_reshape_copy_608 [aten._reshape_copy.default] (Inputs: (add_92: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_608: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn.softmax/_softmax_21 [aten._softmax.default] (Inputs: (_reshape_copy_608: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_21: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn.attn_drop/clone_235 [aten.clone.default] (Inputs: (_softmax_21: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_235: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/expand_86 [aten.expand.default] (Inputs: (clone_235: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_86: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/_reshape_copy_609 [aten._reshape_copy.default] (Inputs: (expand_86: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_609: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/expand_87 [aten.expand.default] (Inputs: (select_65: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_87: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/clone_236 [aten.clone.default] (Inputs: (expand_87: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_236: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/_reshape_copy_610 [aten._reshape_copy.default] (Inputs: (clone_236: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_610: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/bmm_43 [aten.bmm.default] (Inputs: (_reshape_copy_609: (2520, 64, 64)@torch.float32, _reshape_copy_610: (2520, 64, 32)@torch.float32) | Outputs: (bmm_43: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/_reshape_copy_611 [aten._reshape_copy.default] (Inputs: (bmm_43: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_611: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/permute_222 [aten.permute.default] (Inputs: (_reshape_copy_611: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_222: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/clone_237 [aten.clone.default] (Inputs: (permute_222: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_237: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn/_reshape_copy_612 [aten._reshape_copy.default] (Inputs: (clone_237: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_612: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn.proj/_reshape_copy_613 [aten._reshape_copy.default] (Inputs: (_reshape_copy_612: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_613: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn.proj/_frozen_param129 [_frozen_param129] (Inputs: () | Outputs: (_frozen_param129: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn.proj/addmm_85 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_attn_proj_bias: (256,)@float32, _reshape_copy_613: (20160, 256)@torch.float32, _frozen_param129: (256, 256)@float32) | Outputs: (addmm_85: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn.proj/_reshape_copy_614 [aten._reshape_copy.default] (Inputs: (addmm_85: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_614: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.attn.proj_drop/clone_238 [aten.clone.default] (Inputs: (_reshape_copy_614: (315, 64, 256)@torch.float32) | Outputs: (clone_238: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/_reshape_copy_615 [aten._reshape_copy.default] (Inputs: (clone_238: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_615: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/_reshape_copy_616 [aten._reshape_copy.default] (Inputs: (_reshape_copy_615: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_616: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/permute_224 [aten.permute.default] (Inputs: (_reshape_copy_616: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_224: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/clone_239 [aten.clone.default] (Inputs: (permute_224: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_239: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/_reshape_copy_617 [aten._reshape_copy.default] (Inputs: (clone_239: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_617: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/roll_21 [aten.roll.default] (Inputs: (_reshape_copy_617: (1, 120, 168, 256)@torch.float32, [4, 4], [1, 2]) | Outputs: (roll_21: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/_reshape_copy_618 [aten._reshape_copy.default] (Inputs: (roll_21: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_618: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/add_93 [aten.add.Tensor] (Inputs: (add_90: (1, 20160, 256)@torch.float32, _reshape_copy_618: (1, 20160, 256)@torch.float32) | Outputs: (add_93: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_norm2_weight [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_norm2_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.norm2/native_layer_norm_43 [aten.native_layer_norm.default] (Inputs: (add_93: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_43: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.norm2/getitem_153 [<built-in function getitem>] (Inputs: (native_layer_norm_43: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_153: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.mlp.fc1/_reshape_copy_619 [aten._reshape_copy.default] (Inputs: (getitem_153: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_619: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.mlp.fc1/_frozen_param130 [_frozen_param130] (Inputs: () | Outputs: (_frozen_param130: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.mlp.fc1/addmm_86 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_mlp_fc1_bias: (1024,)@float32, _reshape_copy_619: (20160, 256)@torch.float32, _frozen_param130: (256, 1024)@float32) | Outputs: (addmm_86: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.mlp.fc1/_reshape_copy_620 [aten._reshape_copy.default] (Inputs: (addmm_86: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_620: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.mlp.act/gelu_21 [aten.gelu.default] (Inputs: (_reshape_copy_620: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_21: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.mlp.drop/clone_240 [aten.clone.default] (Inputs: (gelu_21: (1, 20160, 1024)@torch.float32) | Outputs: (clone_240: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.mlp.fc2/_reshape_copy_621 [aten._reshape_copy.default] (Inputs: (clone_240: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_621: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.mlp.fc2/_frozen_param131 [_frozen_param131] (Inputs: () | Outputs: (_frozen_param131: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.mlp.fc2/addmm_87 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_3_mlp_fc2_bias: (256,)@float32, _reshape_copy_621: (20160, 1024)@torch.float32, _frozen_param131: (1024, 256)@float32) | Outputs: (addmm_87: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.mlp.fc2/_reshape_copy_622 [aten._reshape_copy.default] (Inputs: (addmm_87: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_622: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3.mlp.drop/clone_241 [aten.clone.default] (Inputs: (_reshape_copy_622: (1, 20160, 256)@torch.float32) | Outputs: (clone_241: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.3/add_94 [aten.add.Tensor] (Inputs: (add_93: (1, 20160, 256)@torch.float32, clone_241: (1, 20160, 256)@torch.float32) | Outputs: (add_94: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_norm1_weight [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_norm1_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.norm1/native_layer_norm_44 [aten.native_layer_norm.default] (Inputs: (add_94: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_44: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.norm1/getitem_156 [<built-in function getitem>] (Inputs: (native_layer_norm_44: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_156: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4/_reshape_copy_623 [aten._reshape_copy.default] (Inputs: (getitem_156: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_623: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4/_reshape_copy_624 [aten._reshape_copy.default] (Inputs: (_reshape_copy_623: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_624: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4/permute_227 [aten.permute.default] (Inputs: (_reshape_copy_624: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_227: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4/clone_242 [aten.clone.default] (Inputs: (permute_227: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_242: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4/_reshape_copy_625 [aten._reshape_copy.default] (Inputs: (clone_242: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_625: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4/_reshape_copy_626 [aten._reshape_copy.default] (Inputs: (_reshape_copy_625: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_626: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn.qkv/_reshape_copy_627 [aten._reshape_copy.default] (Inputs: (_reshape_copy_626: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_627: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn.qkv/_frozen_param132 [_frozen_param132] (Inputs: () | Outputs: (_frozen_param132: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn.qkv/addmm_88 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_attn_qkv_bias: (768,)@float32, _reshape_copy_627: (20160, 256)@torch.float32, _frozen_param132: (256, 768)@float32) | Outputs: (addmm_88: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn.qkv/_reshape_copy_628 [aten._reshape_copy.default] (Inputs: (addmm_88: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_628: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/_reshape_copy_629 [aten._reshape_copy.default] (Inputs: (_reshape_copy_628: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_629: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/permute_229 [aten.permute.default] (Inputs: (_reshape_copy_629: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_229: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/select_66 [aten.select.int] (Inputs: (permute_229: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_66: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/select_67 [aten.select.int] (Inputs: (permute_229: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_67: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/select_68 [aten.select.int] (Inputs: (permute_229: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_68: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/mul_30 [aten.mul.Tensor] (Inputs: (select_66: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_30: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/permute_230 [aten.permute.default] (Inputs: (select_67: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_230: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/expand_88 [aten.expand.default] (Inputs: (mul_30: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_88: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/clone_243 [aten.clone.default] (Inputs: (expand_88: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_243: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/_reshape_copy_630 [aten._reshape_copy.default] (Inputs: (clone_243: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_630: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/expand_89 [aten.expand.default] (Inputs: (permute_230: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_89: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/clone_244 [aten.clone.default] (Inputs: (expand_89: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_244: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/_reshape_copy_631 [aten._reshape_copy.default] (Inputs: (clone_244: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_631: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/bmm_44 [aten.bmm.default] (Inputs: (_reshape_copy_630: (2520, 64, 32)@torch.float32, _reshape_copy_631: (2520, 32, 64)@torch.float32) | Outputs: (bmm_44: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/_reshape_copy_632 [aten._reshape_copy.default] (Inputs: (bmm_44: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_632: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/_frozen_param133 [_frozen_param133] (Inputs: () | Outputs: (_frozen_param133: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/add_95 [aten.add.Tensor] (Inputs: (_reshape_copy_632: (315, 8, 64, 64)@torch.float32, _frozen_param133: (1, 8, 64, 64)@float32) | Outputs: (add_95: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/_reshape_copy_635 [aten._reshape_copy.default] (Inputs: (add_95: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_635: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/_frozen_param134 [_frozen_param134] (Inputs: () | Outputs: (_frozen_param134: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/add_96 [aten.add.Tensor] (Inputs: (_reshape_copy_635: (1, 315, 8, 64, 64)@torch.float32, _frozen_param134: (1, 315, 1, 64, 64)@float32) | Outputs: (add_96: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/_reshape_copy_636 [aten._reshape_copy.default] (Inputs: (add_96: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_636: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn.softmax/_softmax_22 [aten._softmax.default] (Inputs: (_reshape_copy_636: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_22: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn.attn_drop/clone_246 [aten.clone.default] (Inputs: (_softmax_22: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_246: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/expand_90 [aten.expand.default] (Inputs: (clone_246: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_90: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/_reshape_copy_637 [aten._reshape_copy.default] (Inputs: (expand_90: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_637: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/expand_91 [aten.expand.default] (Inputs: (select_68: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_91: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/clone_247 [aten.clone.default] (Inputs: (expand_91: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_247: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/_reshape_copy_638 [aten._reshape_copy.default] (Inputs: (clone_247: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_638: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/bmm_45 [aten.bmm.default] (Inputs: (_reshape_copy_637: (2520, 64, 64)@torch.float32, _reshape_copy_638: (2520, 64, 32)@torch.float32) | Outputs: (bmm_45: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/_reshape_copy_639 [aten._reshape_copy.default] (Inputs: (bmm_45: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_639: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/permute_232 [aten.permute.default] (Inputs: (_reshape_copy_639: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_232: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/clone_248 [aten.clone.default] (Inputs: (permute_232: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_248: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn/_reshape_copy_640 [aten._reshape_copy.default] (Inputs: (clone_248: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_640: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn.proj/_reshape_copy_641 [aten._reshape_copy.default] (Inputs: (_reshape_copy_640: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_641: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn.proj/_frozen_param135 [_frozen_param135] (Inputs: () | Outputs: (_frozen_param135: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn.proj/addmm_89 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_attn_proj_bias: (256,)@float32, _reshape_copy_641: (20160, 256)@torch.float32, _frozen_param135: (256, 256)@float32) | Outputs: (addmm_89: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn.proj/_reshape_copy_642 [aten._reshape_copy.default] (Inputs: (addmm_89: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_642: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.attn.proj_drop/clone_249 [aten.clone.default] (Inputs: (_reshape_copy_642: (315, 64, 256)@torch.float32) | Outputs: (clone_249: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4/_reshape_copy_643 [aten._reshape_copy.default] (Inputs: (clone_249: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_643: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4/_reshape_copy_644 [aten._reshape_copy.default] (Inputs: (_reshape_copy_643: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_644: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4/permute_234 [aten.permute.default] (Inputs: (_reshape_copy_644: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_234: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4/clone_250 [aten.clone.default] (Inputs: (permute_234: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_250: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4/_reshape_copy_645 [aten._reshape_copy.default] (Inputs: (clone_250: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_645: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4/_reshape_copy_646 [aten._reshape_copy.default] (Inputs: (_reshape_copy_645: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_646: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4/add_97 [aten.add.Tensor] (Inputs: (add_94: (1, 20160, 256)@torch.float32, _reshape_copy_646: (1, 20160, 256)@torch.float32) | Outputs: (add_97: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_norm2_weight [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_norm2_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.norm2/native_layer_norm_45 [aten.native_layer_norm.default] (Inputs: (add_97: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_45: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.norm2/getitem_159 [<built-in function getitem>] (Inputs: (native_layer_norm_45: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_159: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.mlp.fc1/_reshape_copy_647 [aten._reshape_copy.default] (Inputs: (getitem_159: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_647: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.mlp.fc1/_frozen_param136 [_frozen_param136] (Inputs: () | Outputs: (_frozen_param136: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.mlp.fc1/addmm_90 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_mlp_fc1_bias: (1024,)@float32, _reshape_copy_647: (20160, 256)@torch.float32, _frozen_param136: (256, 1024)@float32) | Outputs: (addmm_90: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.mlp.fc1/_reshape_copy_648 [aten._reshape_copy.default] (Inputs: (addmm_90: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_648: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.mlp.act/gelu_22 [aten.gelu.default] (Inputs: (_reshape_copy_648: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_22: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.mlp.drop/clone_251 [aten.clone.default] (Inputs: (gelu_22: (1, 20160, 1024)@torch.float32) | Outputs: (clone_251: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.mlp.fc2/_reshape_copy_649 [aten._reshape_copy.default] (Inputs: (clone_251: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_649: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.mlp.fc2/_frozen_param137 [_frozen_param137] (Inputs: () | Outputs: (_frozen_param137: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.mlp.fc2/addmm_91 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_4_mlp_fc2_bias: (256,)@float32, _reshape_copy_649: (20160, 1024)@torch.float32, _frozen_param137: (1024, 256)@float32) | Outputs: (addmm_91: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.mlp.fc2/_reshape_copy_650 [aten._reshape_copy.default] (Inputs: (addmm_91: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_650: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4.mlp.drop/clone_252 [aten.clone.default] (Inputs: (_reshape_copy_650: (1, 20160, 256)@torch.float32) | Outputs: (clone_252: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.4/add_98 [aten.add.Tensor] (Inputs: (add_97: (1, 20160, 256)@torch.float32, clone_252: (1, 20160, 256)@torch.float32) | Outputs: (add_98: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_norm1_weight [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.norm1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_norm1_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_norm1_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.norm1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_norm1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.norm1/native_layer_norm_46 [aten.native_layer_norm.default] (Inputs: (add_98: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_norm1_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_norm1_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_46: ((1, 20160, 256)@torch.float32,(1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.norm1/getitem_162 [<built-in function getitem>] (Inputs: (native_layer_norm_46: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_162: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/_reshape_copy_651 [aten._reshape_copy.default] (Inputs: (getitem_162: (1, 20160, 256)@torch.float32, [1, 120, 168, 256]) | Outputs: (_reshape_copy_651: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/roll_22 [aten.roll.default] (Inputs: (_reshape_copy_651: (1, 120, 168, 256)@torch.float32, [-4, -4], [1, 2]) | Outputs: (roll_22: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/_reshape_copy_652 [aten._reshape_copy.default] (Inputs: (roll_22: (1, 120, 168, 256)@torch.float32, [1, 15, 8, 21, 8, 256]) | Outputs: (_reshape_copy_652: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/permute_237 [aten.permute.default] (Inputs: (_reshape_copy_652: (1, 15, 8, 21, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_237: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/clone_253 [aten.clone.default] (Inputs: (permute_237: (1, 15, 21, 8, 8, 256)@torch.float32) | Outputs: (clone_253: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/_reshape_copy_653 [aten._reshape_copy.default] (Inputs: (clone_253: (1, 15, 21, 8, 8, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_653: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/_reshape_copy_654 [aten._reshape_copy.default] (Inputs: (_reshape_copy_653: (315, 8, 8, 256)@torch.float32, [-1, 64, 256]) | Outputs: (_reshape_copy_654: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn.qkv/_reshape_copy_655 [aten._reshape_copy.default] (Inputs: (_reshape_copy_654: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_655: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_attn_qkv_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn.qkv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_attn_qkv_bias: (768,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn.qkv/_frozen_param138 [_frozen_param138] (Inputs: () | Outputs: (_frozen_param138: (256, 768)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn.qkv/addmm_92 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_attn_qkv_bias: (768,)@float32, _reshape_copy_655: (20160, 256)@torch.float32, _frozen_param138: (256, 768)@float32) | Outputs: (addmm_92: (20160, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn.qkv/_reshape_copy_656 [aten._reshape_copy.default] (Inputs: (addmm_92: (20160, 768)@torch.float32, [315, 64, 768]) | Outputs: (_reshape_copy_656: (315, 64, 768)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/_reshape_copy_657 [aten._reshape_copy.default] (Inputs: (_reshape_copy_656: (315, 64, 768)@torch.float32, [315, 64, 3, 8, 32]) | Outputs: (_reshape_copy_657: (315, 64, 3, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/permute_239 [aten.permute.default] (Inputs: (_reshape_copy_657: (315, 64, 3, 8, 32)@torch.float32, [2, 0, 3, 1, 4]) | Outputs: (permute_239: (3, 315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/select_69 [aten.select.int] (Inputs: (permute_239: (3, 315, 8, 64, 32)@torch.float32, 0, 0) | Outputs: (select_69: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/select_70 [aten.select.int] (Inputs: (permute_239: (3, 315, 8, 64, 32)@torch.float32, 0, 1) | Outputs: (select_70: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/select_71 [aten.select.int] (Inputs: (permute_239: (3, 315, 8, 64, 32)@torch.float32, 0, 2) | Outputs: (select_71: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/mul_31 [aten.mul.Tensor] (Inputs: (select_69: (315, 8, 64, 32)@torch.float32, 0.1767766952966369) | Outputs: (mul_31: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/permute_240 [aten.permute.default] (Inputs: (select_70: (315, 8, 64, 32)@torch.float32, [0, 1, 3, 2]) | Outputs: (permute_240: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/expand_92 [aten.expand.default] (Inputs: (mul_31: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_92: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/clone_254 [aten.clone.default] (Inputs: (expand_92: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_254: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/_reshape_copy_658 [aten._reshape_copy.default] (Inputs: (clone_254: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_658: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/expand_93 [aten.expand.default] (Inputs: (permute_240: (315, 8, 32, 64)@torch.float32, [315, 8, 32, 64]) | Outputs: (expand_93: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/clone_255 [aten.clone.default] (Inputs: (expand_93: (315, 8, 32, 64)@torch.float32) | Outputs: (clone_255: (315, 8, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/_reshape_copy_659 [aten._reshape_copy.default] (Inputs: (clone_255: (315, 8, 32, 64)@torch.float32, [2520, 32, 64]) | Outputs: (_reshape_copy_659: (2520, 32, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/bmm_46 [aten.bmm.default] (Inputs: (_reshape_copy_658: (2520, 64, 32)@torch.float32, _reshape_copy_659: (2520, 32, 64)@torch.float32) | Outputs: (bmm_46: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/_reshape_copy_660 [aten._reshape_copy.default] (Inputs: (bmm_46: (2520, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (_reshape_copy_660: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/_frozen_param139 [_frozen_param139] (Inputs: () | Outputs: (_frozen_param139: (1, 8, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/add_99 [aten.add.Tensor] (Inputs: (_reshape_copy_660: (315, 8, 64, 64)@torch.float32, _frozen_param139: (1, 8, 64, 64)@float32) | Outputs: (add_99: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/_reshape_copy_663 [aten._reshape_copy.default] (Inputs: (add_99: (315, 8, 64, 64)@torch.float32, [1, 315, 8, 64, 64]) | Outputs: (_reshape_copy_663: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/_frozen_param140 [_frozen_param140] (Inputs: () | Outputs: (_frozen_param140: (1, 315, 1, 64, 64)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/add_100 [aten.add.Tensor] (Inputs: (_reshape_copy_663: (1, 315, 8, 64, 64)@torch.float32, _frozen_param140: (1, 315, 1, 64, 64)@float32) | Outputs: (add_100: (1, 315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/_reshape_copy_664 [aten._reshape_copy.default] (Inputs: (add_100: (1, 315, 8, 64, 64)@torch.float32, [-1, 8, 64, 64]) | Outputs: (_reshape_copy_664: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn.softmax/_softmax_23 [aten._softmax.default] (Inputs: (_reshape_copy_664: (315, 8, 64, 64)@torch.float32, -1, False) | Outputs: (_softmax_23: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn.attn_drop/clone_257 [aten.clone.default] (Inputs: (_softmax_23: (315, 8, 64, 64)@torch.float32) | Outputs: (clone_257: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/expand_94 [aten.expand.default] (Inputs: (clone_257: (315, 8, 64, 64)@torch.float32, [315, 8, 64, 64]) | Outputs: (expand_94: (315, 8, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/_reshape_copy_665 [aten._reshape_copy.default] (Inputs: (expand_94: (315, 8, 64, 64)@torch.float32, [2520, 64, 64]) | Outputs: (_reshape_copy_665: (2520, 64, 64)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/expand_95 [aten.expand.default] (Inputs: (select_71: (315, 8, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (expand_95: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/clone_258 [aten.clone.default] (Inputs: (expand_95: (315, 8, 64, 32)@torch.float32) | Outputs: (clone_258: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/_reshape_copy_666 [aten._reshape_copy.default] (Inputs: (clone_258: (315, 8, 64, 32)@torch.float32, [2520, 64, 32]) | Outputs: (_reshape_copy_666: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/bmm_47 [aten.bmm.default] (Inputs: (_reshape_copy_665: (2520, 64, 64)@torch.float32, _reshape_copy_666: (2520, 64, 32)@torch.float32) | Outputs: (bmm_47: (2520, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/_reshape_copy_667 [aten._reshape_copy.default] (Inputs: (bmm_47: (2520, 64, 32)@torch.float32, [315, 8, 64, 32]) | Outputs: (_reshape_copy_667: (315, 8, 64, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/permute_242 [aten.permute.default] (Inputs: (_reshape_copy_667: (315, 8, 64, 32)@torch.float32, [0, 2, 1, 3]) | Outputs: (permute_242: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/clone_259 [aten.clone.default] (Inputs: (permute_242: (315, 64, 8, 32)@torch.float32) | Outputs: (clone_259: (315, 64, 8, 32)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn/_reshape_copy_668 [aten._reshape_copy.default] (Inputs: (clone_259: (315, 64, 8, 32)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_668: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn.proj/_reshape_copy_669 [aten._reshape_copy.default] (Inputs: (_reshape_copy_668: (315, 64, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_669: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_attn_proj_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn.proj.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_attn_proj_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn.proj/_frozen_param141 [_frozen_param141] (Inputs: () | Outputs: (_frozen_param141: (256, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn.proj/addmm_93 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_attn_proj_bias: (256,)@float32, _reshape_copy_669: (20160, 256)@torch.float32, _frozen_param141: (256, 256)@float32) | Outputs: (addmm_93: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn.proj/_reshape_copy_670 [aten._reshape_copy.default] (Inputs: (addmm_93: (20160, 256)@torch.float32, [315, 64, 256]) | Outputs: (_reshape_copy_670: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.attn.proj_drop/clone_260 [aten.clone.default] (Inputs: (_reshape_copy_670: (315, 64, 256)@torch.float32) | Outputs: (clone_260: (315, 64, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/_reshape_copy_671 [aten._reshape_copy.default] (Inputs: (clone_260: (315, 64, 256)@torch.float32, [-1, 8, 8, 256]) | Outputs: (_reshape_copy_671: (315, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/_reshape_copy_672 [aten._reshape_copy.default] (Inputs: (_reshape_copy_671: (315, 8, 8, 256)@torch.float32, [1, 15, 21, 8, 8, -1]) | Outputs: (_reshape_copy_672: (1, 15, 21, 8, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/permute_244 [aten.permute.default] (Inputs: (_reshape_copy_672: (1, 15, 21, 8, 8, 256)@torch.float32, [0, 1, 3, 2, 4, 5]) | Outputs: (permute_244: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/clone_261 [aten.clone.default] (Inputs: (permute_244: (1, 15, 8, 21, 8, 256)@torch.float32) | Outputs: (clone_261: (1, 15, 8, 21, 8, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/_reshape_copy_673 [aten._reshape_copy.default] (Inputs: (clone_261: (1, 15, 8, 21, 8, 256)@torch.float32, [1, 120, 168, -1]) | Outputs: (_reshape_copy_673: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/roll_23 [aten.roll.default] (Inputs: (_reshape_copy_673: (1, 120, 168, 256)@torch.float32, [4, 4], [1, 2]) | Outputs: (roll_23: (1, 120, 168, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/_reshape_copy_674 [aten._reshape_copy.default] (Inputs: (roll_23: (1, 120, 168, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_674: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/add_101 [aten.add.Tensor] (Inputs: (add_98: (1, 20160, 256)@torch.float32, _reshape_copy_674: (1, 20160, 256)@torch.float32) | Outputs: (add_101: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_norm2_weight [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.norm2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_norm2_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_norm2_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.norm2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_norm2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.norm2/native_layer_norm_47 [aten.native_layer_norm.default] (Inputs: (add_101: (1, 20160, 256)@torch.float32, [256], multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_norm2_weight: (256,)@float32, multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_norm2_bias: (256,)@float32, 1e-05) | Outputs: (native_layer_norm_47: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.norm2/getitem_165 [<built-in function getitem>] (Inputs: (native_layer_norm_47: ((1, 20160, 256)@torch.float32, (1, 20160, 1)@torch.float32, (1, 20160, 1)@torch.float32), 0) | Outputs: (getitem_165: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.mlp.fc1/_reshape_copy_675 [aten._reshape_copy.default] (Inputs: (getitem_165: (1, 20160, 256)@torch.float32, [20160, 256]) | Outputs: (_reshape_copy_675: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_mlp_fc1_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.mlp.fc1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_mlp_fc1_bias: (1024,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.mlp.fc1/_frozen_param142 [_frozen_param142] (Inputs: () | Outputs: (_frozen_param142: (256, 1024)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.mlp.fc1/addmm_94 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_mlp_fc1_bias: (1024,)@float32, _reshape_copy_675: (20160, 256)@torch.float32, _frozen_param142: (256, 1024)@float32) | Outputs: (addmm_94: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.mlp.fc1/_reshape_copy_676 [aten._reshape_copy.default] (Inputs: (addmm_94: (20160, 1024)@torch.float32, [1, 20160, 1024]) | Outputs: (_reshape_copy_676: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.mlp.act/gelu_23 [aten.gelu.default] (Inputs: (_reshape_copy_676: (1, 20160, 1024)@torch.float32) | Outputs: (gelu_23: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.mlp.drop/clone_262 [aten.clone.default] (Inputs: (gelu_23: (1, 20160, 1024)@torch.float32) | Outputs: (clone_262: (1, 20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.mlp.fc2/_reshape_copy_677 [aten._reshape_copy.default] (Inputs: (clone_262: (1, 20160, 1024)@torch.float32, [20160, 1024]) | Outputs: (_reshape_copy_677: (20160, 1024)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_mlp_fc2_bias [multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.mlp.fc2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_mlp_fc2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.mlp.fc2/_frozen_param143 [_frozen_param143] (Inputs: () | Outputs: (_frozen_param143: (1024, 256)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.mlp.fc2/addmm_95 [aten.addmm.default] (Inputs: (multiscale_encoder_blocks_2_swin_blks_3_residual_group_blocks_5_mlp_fc2_bias: (256,)@float32, _reshape_copy_677: (20160, 1024)@torch.float32, _frozen_param143: (1024, 256)@float32) | Outputs: (addmm_95: (20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.mlp.fc2/_reshape_copy_678 [aten._reshape_copy.default] (Inputs: (addmm_95: (20160, 256)@torch.float32, [1, 20160, 256]) | Outputs: (_reshape_copy_678: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5.mlp.drop/clone_263 [aten.clone.default] (Inputs: (_reshape_copy_678: (1, 20160, 256)@torch.float32) | Outputs: (clone_263: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.residual_group.blocks.5/add_102 [aten.add.Tensor] (Inputs: (add_101: (1, 20160, 256)@torch.float32, clone_263: (1, 20160, 256)@torch.float32) | Outputs: (add_102: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.patch_unembed/permute_247 [aten.permute.default] (Inputs: (add_102: (1, 20160, 256)@torch.float32, [0, 2, 1]) | Outputs: (permute_247: (1, 256, 20160)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.patch_unembed/_reshape_copy_679 [aten._reshape_copy.default] (Inputs: (permute_247: (1, 256, 20160)@torch.float32, [1, 256, 120, 168]) | Outputs: (_reshape_copy_679: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_conv_weight [multiscale_encoder.blocks.2.swin_blks.3.conv.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_conv_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_2_swin_blks_3_conv_bias [multiscale_encoder.blocks.2.swin_blks.3.conv.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_2_swin_blks_3_conv_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.conv/convolution_14 [aten.convolution.default] (Inputs: (_reshape_copy_679: (1, 256, 120, 168)@torch.float32, multiscale_encoder_blocks_2_swin_blks_3_conv_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_2_swin_blks_3_conv_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_14: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.patch_embed/_reshape_copy_680 [aten._reshape_copy.default] (Inputs: (convolution_14: (1, 256, 120, 168)@torch.float32, [1, 256, 20160]) | Outputs: (_reshape_copy_680: (1, 256, 20160)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3.patch_embed/permute_248 [aten.permute.default] (Inputs: (_reshape_copy_680: (1, 256, 20160)@torch.float32, [0, 2, 1]) | Outputs: (permute_248: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2.swin_blks.3/add_103 [aten.add.Tensor] (Inputs: (permute_248: (1, 20160, 256)@torch.float32, add_78: (1, 20160, 256)@torch.float32) | Outputs: (add_103: (1, 20160, 256)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2/permute_249 [aten.permute.default] (Inputs: (add_103: (1, 20160, 256)@torch.float32, [0, 2, 1]) | Outputs: (permute_249: (1, 256, 20160)@torch.float32))
Information: Converted node multiscale_encoder.blocks.2/_reshape_copy_681 [aten._reshape_copy.default] (Inputs: (permute_249: (1, 256, 20160)@torch.float32, [1, 256, 120, 168]) | Outputs: (_reshape_copy_681: (1, 256, 120, 168)@torch.float32))
Information: Converted node multiscale_encoder.blocks.3.0/upsample_nearest2d [vsfemasr.upsample_nearest2d.default] (Inputs: (_reshape_copy_681: (1, 256, 120, 168)@torch.float32, None, [2.0, 2.0]) | Outputs: (upsample_nearest2d: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_3_1_weight [multiscale_encoder.blocks.3.1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_1_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_3_1_bias [multiscale_encoder.blocks.3.1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_1_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.3.1/convolution_15 [aten.convolution.default] (Inputs: (upsample_nearest2d: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_3_1_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_3_1_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_15: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_3_2_conv_0_norm_weight [multiscale_encoder.blocks.3.2.conv.0.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_2_conv_0_norm_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_3_2_conv_0_norm_bias [multiscale_encoder.blocks.3.2.conv.0.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_2_conv_0_norm_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.3.2.conv.0.norm/native_group_norm_8 [aten.native_group_norm.default] (Inputs: (convolution_15: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_3_2_conv_0_norm_weight: (256,)@float32, multiscale_encoder_blocks_3_2_conv_0_norm_bias: (256,)@float32, 1, 256, 80640, 32, 1e-06) | Outputs: (native_group_norm_8: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.3.2.conv.0.norm/getitem_168 [<built-in function getitem>] (Inputs: (native_group_norm_8: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_168: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.3.2.conv.1.func/sigmoid_8 [aten.sigmoid.default] (Inputs: (getitem_168: (1, 256, 240, 336)@torch.float32) | Outputs: (sigmoid_8: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.3.2.conv.1.func/mul_32 [aten.mul.Tensor] (Inputs: (getitem_168: (1, 256, 240, 336)@torch.float32, sigmoid_8: (1, 256, 240, 336)@torch.float32) | Outputs: (mul_32: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_3_2_conv_2_weight [multiscale_encoder.blocks.3.2.conv.2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_2_conv_2_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_3_2_conv_2_bias [multiscale_encoder.blocks.3.2.conv.2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_2_conv_2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.3.2.conv.2/convolution_16 [aten.convolution.default] (Inputs: (mul_32: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_3_2_conv_2_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_3_2_conv_2_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_16: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_3_2_conv_3_norm_weight [multiscale_encoder.blocks.3.2.conv.3.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_2_conv_3_norm_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_3_2_conv_3_norm_bias [multiscale_encoder.blocks.3.2.conv.3.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_2_conv_3_norm_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.3.2.conv.3.norm/native_group_norm_9 [aten.native_group_norm.default] (Inputs: (convolution_16: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_3_2_conv_3_norm_weight: (256,)@float32, multiscale_encoder_blocks_3_2_conv_3_norm_bias: (256,)@float32, 1, 256, 80640, 32, 1e-06) | Outputs: (native_group_norm_9: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.3.2.conv.3.norm/getitem_171 [<built-in function getitem>] (Inputs: (native_group_norm_9: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_171: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.3.2.conv.4.func/sigmoid_9 [aten.sigmoid.default] (Inputs: (getitem_171: (1, 256, 240, 336)@torch.float32) | Outputs: (sigmoid_9: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.3.2.conv.4.func/mul_33 [aten.mul.Tensor] (Inputs: (getitem_171: (1, 256, 240, 336)@torch.float32, sigmoid_9: (1, 256, 240, 336)@torch.float32) | Outputs: (mul_33: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_3_2_conv_5_weight [multiscale_encoder.blocks.3.2.conv.5.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_2_conv_5_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_3_2_conv_5_bias [multiscale_encoder.blocks.3.2.conv.5.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_2_conv_5_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.3.2.conv.5/convolution_17 [aten.convolution.default] (Inputs: (mul_33: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_3_2_conv_5_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_3_2_conv_5_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_17: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.3.2/add_104 [aten.add.Tensor] (Inputs: (convolution_17: (1, 256, 240, 336)@torch.float32, convolution_15: (1, 256, 240, 336)@torch.float32) | Outputs: (add_104: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_3_3_conv_0_norm_weight [multiscale_encoder.blocks.3.3.conv.0.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_3_conv_0_norm_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_3_3_conv_0_norm_bias [multiscale_encoder.blocks.3.3.conv.0.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_3_conv_0_norm_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.3.3.conv.0.norm/native_group_norm_10 [aten.native_group_norm.default] (Inputs: (add_104: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_3_3_conv_0_norm_weight: (256,)@float32, multiscale_encoder_blocks_3_3_conv_0_norm_bias: (256,)@float32, 1, 256, 80640, 32, 1e-06) | Outputs: (native_group_norm_10: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.3.3.conv.0.norm/getitem_174 [<built-in function getitem>] (Inputs: (native_group_norm_10: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_174: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.3.3.conv.1.func/sigmoid_10 [aten.sigmoid.default] (Inputs: (getitem_174: (1, 256, 240, 336)@torch.float32) | Outputs: (sigmoid_10: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.3.3.conv.1.func/mul_34 [aten.mul.Tensor] (Inputs: (getitem_174: (1, 256, 240, 336)@torch.float32, sigmoid_10: (1, 256, 240, 336)@torch.float32) | Outputs: (mul_34: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_3_3_conv_2_weight [multiscale_encoder.blocks.3.3.conv.2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_3_conv_2_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_3_3_conv_2_bias [multiscale_encoder.blocks.3.3.conv.2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_3_conv_2_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.3.3.conv.2/convolution_18 [aten.convolution.default] (Inputs: (mul_34: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_3_3_conv_2_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_3_3_conv_2_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_18: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_3_3_conv_3_norm_weight [multiscale_encoder.blocks.3.3.conv.3.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_3_conv_3_norm_weight: (256,)@float32))
Information: Converted node multiscale_encoder_blocks_3_3_conv_3_norm_bias [multiscale_encoder.blocks.3.3.conv.3.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_3_conv_3_norm_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.3.3.conv.3.norm/native_group_norm_11 [aten.native_group_norm.default] (Inputs: (convolution_18: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_3_3_conv_3_norm_weight: (256,)@float32, multiscale_encoder_blocks_3_3_conv_3_norm_bias: (256,)@float32, 1, 256, 80640, 32, 1e-06) | Outputs: (native_group_norm_11: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.3.3.conv.3.norm/getitem_177 [<built-in function getitem>] (Inputs: (native_group_norm_11: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_177: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.3.3.conv.4.func/sigmoid_11 [aten.sigmoid.default] (Inputs: (getitem_177: (1, 256, 240, 336)@torch.float32) | Outputs: (sigmoid_11: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.3.3.conv.4.func/mul_35 [aten.mul.Tensor] (Inputs: (getitem_177: (1, 256, 240, 336)@torch.float32, sigmoid_11: (1, 256, 240, 336)@torch.float32) | Outputs: (mul_35: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder_blocks_3_3_conv_5_weight [multiscale_encoder.blocks.3.3.conv.5.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_3_conv_5_weight: (256, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_3_3_conv_5_bias [multiscale_encoder.blocks.3.3.conv.5.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_3_3_conv_5_bias: (256,)@float32))
Information: Converted node multiscale_encoder.blocks.3.3.conv.5/convolution_19 [aten.convolution.default] (Inputs: (mul_35: (1, 256, 240, 336)@torch.float32, multiscale_encoder_blocks_3_3_conv_5_weight: (256, 256, 3, 3)@float32, multiscale_encoder_blocks_3_3_conv_5_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_19: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.3.3/add_105 [aten.add.Tensor] (Inputs: (convolution_19: (1, 256, 240, 336)@torch.float32, add_104: (1, 256, 240, 336)@torch.float32) | Outputs: (add_105: (1, 256, 240, 336)@torch.float32))
Information: Converted node multiscale_encoder.blocks.4.0/upsample_nearest2d_1 [vsfemasr.upsample_nearest2d.default] (Inputs: (add_105: (1, 256, 240, 336)@torch.float32, None, [2.0, 2.0]) | Outputs: (upsample_nearest2d_1: (1, 256, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder_blocks_4_1_weight [multiscale_encoder.blocks.4.1.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_1_weight: (128, 256, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_4_1_bias [multiscale_encoder.blocks.4.1.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_1_bias: (128,)@float32))
Information: Converted node multiscale_encoder.blocks.4.1/convolution_20 [aten.convolution.default] (Inputs: (upsample_nearest2d_1: (1, 256, 480, 672)@torch.float32, multiscale_encoder_blocks_4_1_weight: (128, 256, 3, 3)@float32, multiscale_encoder_blocks_4_1_bias: (128,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_20: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder_blocks_4_2_conv_0_norm_weight [multiscale_encoder.blocks.4.2.conv.0.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_2_conv_0_norm_weight: (128,)@float32))
Information: Converted node multiscale_encoder_blocks_4_2_conv_0_norm_bias [multiscale_encoder.blocks.4.2.conv.0.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_2_conv_0_norm_bias: (128,)@float32))
Information: Converted node multiscale_encoder.blocks.4.2.conv.0.norm/native_group_norm_12 [aten.native_group_norm.default] (Inputs: (convolution_20: (1, 128, 480, 672)@torch.float32, multiscale_encoder_blocks_4_2_conv_0_norm_weight: (128,)@float32, multiscale_encoder_blocks_4_2_conv_0_norm_bias: (128,)@float32, 1, 128, 322560, 32, 1e-06) | Outputs: (native_group_norm_12: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.4.2.conv.0.norm/getitem_180 [<built-in function getitem>] (Inputs: (native_group_norm_12: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_180: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder.blocks.4.2.conv.1.func/sigmoid_12 [aten.sigmoid.default] (Inputs: (getitem_180: (1, 128, 480, 672)@torch.float32) | Outputs: (sigmoid_12: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder.blocks.4.2.conv.1.func/mul_36 [aten.mul.Tensor] (Inputs: (getitem_180: (1, 128, 480, 672)@torch.float32, sigmoid_12: (1, 128, 480, 672)@torch.float32) | Outputs: (mul_36: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder_blocks_4_2_conv_2_weight [multiscale_encoder.blocks.4.2.conv.2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_2_conv_2_weight: (128, 128, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_4_2_conv_2_bias [multiscale_encoder.blocks.4.2.conv.2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_2_conv_2_bias: (128,)@float32))
Information: Converted node multiscale_encoder.blocks.4.2.conv.2/convolution_21 [aten.convolution.default] (Inputs: (mul_36: (1, 128, 480, 672)@torch.float32, multiscale_encoder_blocks_4_2_conv_2_weight: (128, 128, 3, 3)@float32, multiscale_encoder_blocks_4_2_conv_2_bias: (128,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_21: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder_blocks_4_2_conv_3_norm_weight [multiscale_encoder.blocks.4.2.conv.3.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_2_conv_3_norm_weight: (128,)@float32))
Information: Converted node multiscale_encoder_blocks_4_2_conv_3_norm_bias [multiscale_encoder.blocks.4.2.conv.3.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_2_conv_3_norm_bias: (128,)@float32))
Information: Converted node multiscale_encoder.blocks.4.2.conv.3.norm/native_group_norm_13 [aten.native_group_norm.default] (Inputs: (convolution_21: (1, 128, 480, 672)@torch.float32, multiscale_encoder_blocks_4_2_conv_3_norm_weight: (128,)@float32, multiscale_encoder_blocks_4_2_conv_3_norm_bias: (128,)@float32, 1, 128, 322560, 32, 1e-06) | Outputs: (native_group_norm_13: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.4.2.conv.3.norm/getitem_183 [<built-in function getitem>] (Inputs: (native_group_norm_13: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_183: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder.blocks.4.2.conv.4.func/sigmoid_13 [aten.sigmoid.default] (Inputs: (getitem_183: (1, 128, 480, 672)@torch.float32) | Outputs: (sigmoid_13: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder.blocks.4.2.conv.4.func/mul_37 [aten.mul.Tensor] (Inputs: (getitem_183: (1, 128, 480, 672)@torch.float32, sigmoid_13: (1, 128, 480, 672)@torch.float32) | Outputs: (mul_37: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder_blocks_4_2_conv_5_weight [multiscale_encoder.blocks.4.2.conv.5.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_2_conv_5_weight: (128, 128, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_4_2_conv_5_bias [multiscale_encoder.blocks.4.2.conv.5.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_2_conv_5_bias: (128,)@float32))
Information: Converted node multiscale_encoder.blocks.4.2.conv.5/convolution_22 [aten.convolution.default] (Inputs: (mul_37: (1, 128, 480, 672)@torch.float32, multiscale_encoder_blocks_4_2_conv_5_weight: (128, 128, 3, 3)@float32, multiscale_encoder_blocks_4_2_conv_5_bias: (128,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_22: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder.blocks.4.2/add_106 [aten.add.Tensor] (Inputs: (convolution_22: (1, 128, 480, 672)@torch.float32, convolution_20: (1, 128, 480, 672)@torch.float32) | Outputs: (add_106: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder_blocks_4_3_conv_0_norm_weight [multiscale_encoder.blocks.4.3.conv.0.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_3_conv_0_norm_weight: (128,)@float32))
Information: Converted node multiscale_encoder_blocks_4_3_conv_0_norm_bias [multiscale_encoder.blocks.4.3.conv.0.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_3_conv_0_norm_bias: (128,)@float32))
Information: Converted node multiscale_encoder.blocks.4.3.conv.0.norm/native_group_norm_14 [aten.native_group_norm.default] (Inputs: (add_106: (1, 128, 480, 672)@torch.float32, multiscale_encoder_blocks_4_3_conv_0_norm_weight: (128,)@float32, multiscale_encoder_blocks_4_3_conv_0_norm_bias: (128,)@float32, 1, 128, 322560, 32, 1e-06) | Outputs: (native_group_norm_14: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.4.3.conv.0.norm/getitem_186 [<built-in function getitem>] (Inputs: (native_group_norm_14: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_186: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder.blocks.4.3.conv.1.func/sigmoid_14 [aten.sigmoid.default] (Inputs: (getitem_186: (1, 128, 480, 672)@torch.float32) | Outputs: (sigmoid_14: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder.blocks.4.3.conv.1.func/mul_38 [aten.mul.Tensor] (Inputs: (getitem_186: (1, 128, 480, 672)@torch.float32, sigmoid_14: (1, 128, 480, 672)@torch.float32) | Outputs: (mul_38: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder_blocks_4_3_conv_2_weight [multiscale_encoder.blocks.4.3.conv.2.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_3_conv_2_weight: (128, 128, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_4_3_conv_2_bias [multiscale_encoder.blocks.4.3.conv.2.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_3_conv_2_bias: (128,)@float32))
Information: Converted node multiscale_encoder.blocks.4.3.conv.2/convolution_23 [aten.convolution.default] (Inputs: (mul_38: (1, 128, 480, 672)@torch.float32, multiscale_encoder_blocks_4_3_conv_2_weight: (128, 128, 3, 3)@float32, multiscale_encoder_blocks_4_3_conv_2_bias: (128,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_23: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder_blocks_4_3_conv_3_norm_weight [multiscale_encoder.blocks.4.3.conv.3.norm.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_3_conv_3_norm_weight: (128,)@float32))
Information: Converted node multiscale_encoder_blocks_4_3_conv_3_norm_bias [multiscale_encoder.blocks.4.3.conv.3.norm.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_3_conv_3_norm_bias: (128,)@float32))
Information: Converted node multiscale_encoder.blocks.4.3.conv.3.norm/native_group_norm_15 [aten.native_group_norm.default] (Inputs: (convolution_23: (1, 128, 480, 672)@torch.float32, multiscale_encoder_blocks_4_3_conv_3_norm_weight: (128,)@float32, multiscale_encoder_blocks_4_3_conv_3_norm_bias: (128,)@float32, 1, 128, 322560, 32, 1e-06) | Outputs: (native_group_norm_15: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node multiscale_encoder.blocks.4.3.conv.3.norm/getitem_189 [<built-in function getitem>] (Inputs: (native_group_norm_15: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_189: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder.blocks.4.3.conv.4.func/sigmoid_15 [aten.sigmoid.default] (Inputs: (getitem_189: (1, 128, 480, 672)@torch.float32) | Outputs: (sigmoid_15: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder.blocks.4.3.conv.4.func/mul_39 [aten.mul.Tensor] (Inputs: (getitem_189: (1, 128, 480, 672)@torch.float32, sigmoid_15: (1, 128, 480, 672)@torch.float32) | Outputs: (mul_39: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder_blocks_4_3_conv_5_weight [multiscale_encoder.blocks.4.3.conv.5.weight] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_3_conv_5_weight: (128, 128, 3, 3)@float32))
Information: Converted node multiscale_encoder_blocks_4_3_conv_5_bias [multiscale_encoder.blocks.4.3.conv.5.bias] (Inputs: () | Outputs: (multiscale_encoder_blocks_4_3_conv_5_bias: (128,)@float32))
Information: Converted node multiscale_encoder.blocks.4.3.conv.5/convolution_24 [aten.convolution.default] (Inputs: (mul_39: (1, 128, 480, 672)@torch.float32, multiscale_encoder_blocks_4_3_conv_5_weight: (128, 128, 3, 3)@float32, multiscale_encoder_blocks_4_3_conv_5_bias: (128,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_24: (1, 128, 480, 672)@torch.float32))
Information: Converted node multiscale_encoder.blocks.4.3/add_107 [aten.add.Tensor] (Inputs: (convolution_24: (1, 128, 480, 672)@torch.float32, add_106: (1, 128, 480, 672)@torch.float32) | Outputs: (add_107: (1, 128, 480, 672)@torch.float32))
Information: Converted node before_quant_group_0_weight [before_quant_group.0.weight] (Inputs: () | Outputs: (before_quant_group_0_weight: (512, 256, 1, 1)@float32))
Information: Converted node before_quant_group_0_bias [before_quant_group.0.bias] (Inputs: () | Outputs: (before_quant_group_0_bias: (512,)@float32))
Information: Converted node before_quant_group.0/convolution_25 [aten.convolution.default] (Inputs: (_reshape_copy_681: (1, 256, 120, 168)@torch.float32, before_quant_group_0_weight: (512, 256, 1, 1)@float32, before_quant_group_0_bias: (512,)@float32, [1, 1], [0, 0], [1, 1], False, [0, 0], 1) | Outputs: (convolution_25: (1, 512, 120, 168)@torch.float32))
Information: Converted node quantize_group.0/permute_250 [aten.permute.default] (Inputs: (convolution_25: (1, 512, 120, 168)@torch.float32, [0, 2, 3, 1]) | Outputs: (permute_250: (1, 120, 168, 512)@torch.float32))
Information: Converted node quantize_group.0/clone_264 [aten.clone.default] (Inputs: (permute_250: (1, 120, 168, 512)@torch.float32) | Outputs: (clone_264: (1, 120, 168, 512)@torch.float32))
Information: Converted node quantize_group.0/_reshape_copy_682 [aten._reshape_copy.default] (Inputs: (clone_264: (1, 120, 168, 512)@torch.float32, [-1, 512]) | Outputs: (_reshape_copy_682: (20160, 512)@torch.float32))
Information: Converted node quantize_group.0/pow_1 [aten.pow.Tensor_Scalar] (Inputs: (_reshape_copy_682: (20160, 512)@torch.float32, 2) | Outputs: (pow_1: (20160, 512)@torch.float32))
Information: Converted node quantize_group.0/sum_1 [aten.sum.dim_IntList] (Inputs: (pow_1: (20160, 512)@torch.float32, [1], True) | Outputs: (sum_1: (20160, 1)@torch.float32))
Information: Converted node quantize_group.0/_frozen_param144 [_frozen_param144] (Inputs: () | Outputs: (_frozen_param144: (1024,)@float32))
Information: Converted node quantize_group.0/add_108 [aten.add.Tensor] (Inputs: (sum_1: (20160, 1)@torch.float32, _frozen_param144: (1024,)@float32) | Outputs: (add_108: (20160, 1024)@torch.float32))
Information: Converted node quantize_group.0/_frozen_param145 [_frozen_param145] (Inputs: () | Outputs: (_frozen_param145: (512, 1024)@float32))
Information: Converted node quantize_group.0/mm [aten.mm.default] (Inputs: (_reshape_copy_682: (20160, 512)@torch.float32, _frozen_param145: (512, 1024)@float32) | Outputs: (mm: (20160, 1024)@torch.float32))
Information: Converted node quantize_group.0/mul_40 [aten.mul.Tensor] (Inputs: (mm: (20160, 1024)@torch.float32, 2) | Outputs: (mul_40: (20160, 1024)@torch.float32))
Information: Converted node quantize_group.0/sub [aten.sub.Tensor] (Inputs: (add_108: (20160, 1024)@torch.float32, mul_40: (20160, 1024)@torch.float32) | Outputs: (sub: (20160, 1024)@torch.float32))
Information: Converted node quantize_group.0/argmin [aten.argmin.default] (Inputs: (sub: (20160, 1024)@torch.float32, 1) | Outputs: (argmin: (20160,)@torch.int64))
Information: Converted node quantize_group.0/unsqueeze_72 [aten.unsqueeze.default] (Inputs: (argmin: (20160,)@torch.int64, 1) | Outputs: (unsqueeze_72: (20160, 1)@torch.int64))
Information: Converted node quantize_group.0/_frozen_param146 [_frozen_param146] (Inputs: () | Outputs: (_frozen_param146: (20160, 1024)@float32))
Information: Converted node quantize_group.0/scatter [aten.scatter.value] (Inputs: (_frozen_param146: (20160, 1024)@float32, 1, unsqueeze_72: (20160, 1)@torch.int64, 1) | Outputs: (scatter: (20160, 1024)@torch.float32))
Information: Converted node quantize_group_0_embedding_weight [quantize_group.0.embedding.weight] (Inputs: () | Outputs: (quantize_group_0_embedding_weight: (1024, 512)@float32))
Information: Converted node quantize_group.0/mm_1 [aten.mm.default] (Inputs: (scatter: (20160, 1024)@torch.float32, quantize_group_0_embedding_weight: (1024, 512)@float32) | Outputs: (mm_1: (20160, 512)@torch.float32))
Information: Converted node quantize_group.0/_reshape_copy_683 [aten._reshape_copy.default] (Inputs: (mm_1: (20160, 512)@torch.float32, [1, 120, 168, 512]) | Outputs: (_reshape_copy_683: (1, 120, 168, 512)@torch.float32))
Information: Converted node quantize_group.0/sub_1 [aten.sub.Tensor] (Inputs: (_reshape_copy_683: (1, 120, 168, 512)@torch.float32, clone_264: (1, 120, 168, 512)@torch.float32) | Outputs: (sub_1: (1, 120, 168, 512)@torch.float32))
Information: Converted node quantize_group.0/add_109 [aten.add.Tensor] (Inputs: (clone_264: (1, 120, 168, 512)@torch.float32, sub_1: (1, 120, 168, 512)@torch.float32) | Outputs: (add_109: (1, 120, 168, 512)@torch.float32))
Information: Converted node quantize_group.0/permute_252 [aten.permute.default] (Inputs: (add_109: (1, 120, 168, 512)@torch.float32, [0, 3, 1, 2]) | Outputs: (permute_252: (1, 512, 120, 168)@torch.float32))
Information: Converted node quantize_group.0/clone_265 [aten.clone.default] (Inputs: (permute_252: (1, 512, 120, 168)@torch.float32) | Outputs: (clone_265: (1, 512, 120, 168)@torch.float32))
Information: Converted node after_quant_group_0_conv_weight [after_quant_group.0.conv.weight] (Inputs: () | Outputs: (after_quant_group_0_conv_weight: (256, 512, 3, 3)@float32))
Information: Converted node after_quant_group_0_conv_bias [after_quant_group.0.conv.bias] (Inputs: () | Outputs: (after_quant_group_0_conv_bias: (256,)@float32))
Information: Converted node after_quant_group.0.conv/convolution_26 [aten.convolution.default] (Inputs: (clone_265: (1, 512, 120, 168)@torch.float32, after_quant_group_0_conv_weight: (256, 512, 3, 3)@float32, after_quant_group_0_conv_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_26: (1, 256, 120, 168)@torch.float32))
Information: Converted node decoder_group.0.block.0/upsample_nearest2d_2 [vsfemasr.upsample_nearest2d.default] (Inputs: (convolution_26: (1, 256, 120, 168)@torch.float32, None, [2.0, 2.0]) | Outputs: (upsample_nearest2d_2: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group_0_block_1_weight [decoder_group.0.block.1.weight] (Inputs: () | Outputs: (decoder_group_0_block_1_weight: (256, 256, 3, 3)@float32))
Information: Converted node decoder_group_0_block_1_bias [decoder_group.0.block.1.bias] (Inputs: () | Outputs: (decoder_group_0_block_1_bias: (256,)@float32))
Information: Converted node decoder_group.0.block.1/convolution_27 [aten.convolution.default] (Inputs: (upsample_nearest2d_2: (1, 256, 240, 336)@torch.float32, decoder_group_0_block_1_weight: (256, 256, 3, 3)@float32, decoder_group_0_block_1_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_27: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group_0_block_2_conv_0_norm_weight [decoder_group.0.block.2.conv.0.norm.weight] (Inputs: () | Outputs: (decoder_group_0_block_2_conv_0_norm_weight: (256,)@float32))
Information: Converted node decoder_group_0_block_2_conv_0_norm_bias [decoder_group.0.block.2.conv.0.norm.bias] (Inputs: () | Outputs: (decoder_group_0_block_2_conv_0_norm_bias: (256,)@float32))
Information: Converted node decoder_group.0.block.2.conv.0.norm/native_group_norm_16 [aten.native_group_norm.default] (Inputs: (convolution_27: (1, 256, 240, 336)@torch.float32, decoder_group_0_block_2_conv_0_norm_weight: (256,)@float32, decoder_group_0_block_2_conv_0_norm_bias: (256,)@float32, 1, 256, 80640, 32, 1e-06) | Outputs: (native_group_norm_16: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node decoder_group.0.block.2.conv.0.norm/getitem_192 [<built-in function getitem>] (Inputs: (native_group_norm_16: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_192: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group.0.block.2.conv.1.func/sigmoid_16 [aten.sigmoid.default] (Inputs: (getitem_192: (1, 256, 240, 336)@torch.float32) | Outputs: (sigmoid_16: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group.0.block.2.conv.1.func/mul_41 [aten.mul.Tensor] (Inputs: (getitem_192: (1, 256, 240, 336)@torch.float32, sigmoid_16: (1, 256, 240, 336)@torch.float32) | Outputs: (mul_41: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group_0_block_2_conv_2_weight [decoder_group.0.block.2.conv.2.weight] (Inputs: () | Outputs: (decoder_group_0_block_2_conv_2_weight: (256, 256, 3, 3)@float32))
Information: Converted node decoder_group_0_block_2_conv_2_bias [decoder_group.0.block.2.conv.2.bias] (Inputs: () | Outputs: (decoder_group_0_block_2_conv_2_bias: (256,)@float32))
Information: Converted node decoder_group.0.block.2.conv.2/convolution_28 [aten.convolution.default] (Inputs: (mul_41: (1, 256, 240, 336)@torch.float32, decoder_group_0_block_2_conv_2_weight: (256, 256, 3, 3)@float32, decoder_group_0_block_2_conv_2_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_28: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group_0_block_2_conv_3_norm_weight [decoder_group.0.block.2.conv.3.norm.weight] (Inputs: () | Outputs: (decoder_group_0_block_2_conv_3_norm_weight: (256,)@float32))
Information: Converted node decoder_group_0_block_2_conv_3_norm_bias [decoder_group.0.block.2.conv.3.norm.bias] (Inputs: () | Outputs: (decoder_group_0_block_2_conv_3_norm_bias: (256,)@float32))
Information: Converted node decoder_group.0.block.2.conv.3.norm/native_group_norm_17 [aten.native_group_norm.default] (Inputs: (convolution_28: (1, 256, 240, 336)@torch.float32, decoder_group_0_block_2_conv_3_norm_weight: (256,)@float32, decoder_group_0_block_2_conv_3_norm_bias: (256,)@float32, 1, 256, 80640, 32, 1e-06) | Outputs: (native_group_norm_17: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node decoder_group.0.block.2.conv.3.norm/getitem_195 [<built-in function getitem>] (Inputs: (native_group_norm_17: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_195: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group.0.block.2.conv.4.func/sigmoid_17 [aten.sigmoid.default] (Inputs: (getitem_195: (1, 256, 240, 336)@torch.float32) | Outputs: (sigmoid_17: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group.0.block.2.conv.4.func/mul_42 [aten.mul.Tensor] (Inputs: (getitem_195: (1, 256, 240, 336)@torch.float32, sigmoid_17: (1, 256, 240, 336)@torch.float32) | Outputs: (mul_42: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group_0_block_2_conv_5_weight [decoder_group.0.block.2.conv.5.weight] (Inputs: () | Outputs: (decoder_group_0_block_2_conv_5_weight: (256, 256, 3, 3)@float32))
Information: Converted node decoder_group_0_block_2_conv_5_bias [decoder_group.0.block.2.conv.5.bias] (Inputs: () | Outputs: (decoder_group_0_block_2_conv_5_bias: (256,)@float32))
Information: Converted node decoder_group.0.block.2.conv.5/convolution_29 [aten.convolution.default] (Inputs: (mul_42: (1, 256, 240, 336)@torch.float32, decoder_group_0_block_2_conv_5_weight: (256, 256, 3, 3)@float32, decoder_group_0_block_2_conv_5_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_29: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group.0.block.2/add_110 [aten.add.Tensor] (Inputs: (convolution_29: (1, 256, 240, 336)@torch.float32, convolution_27: (1, 256, 240, 336)@torch.float32) | Outputs: (add_110: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group_0_block_3_conv_0_norm_weight [decoder_group.0.block.3.conv.0.norm.weight] (Inputs: () | Outputs: (decoder_group_0_block_3_conv_0_norm_weight: (256,)@float32))
Information: Converted node decoder_group_0_block_3_conv_0_norm_bias [decoder_group.0.block.3.conv.0.norm.bias] (Inputs: () | Outputs: (decoder_group_0_block_3_conv_0_norm_bias: (256,)@float32))
Information: Converted node decoder_group.0.block.3.conv.0.norm/native_group_norm_18 [aten.native_group_norm.default] (Inputs: (add_110: (1, 256, 240, 336)@torch.float32, decoder_group_0_block_3_conv_0_norm_weight: (256,)@float32, decoder_group_0_block_3_conv_0_norm_bias: (256,)@float32, 1, 256, 80640, 32, 1e-06) | Outputs: (native_group_norm_18: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node decoder_group.0.block.3.conv.0.norm/getitem_198 [<built-in function getitem>] (Inputs: (native_group_norm_18: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_198: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group.0.block.3.conv.1.func/sigmoid_18 [aten.sigmoid.default] (Inputs: (getitem_198: (1, 256, 240, 336)@torch.float32) | Outputs: (sigmoid_18: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group.0.block.3.conv.1.func/mul_43 [aten.mul.Tensor] (Inputs: (getitem_198: (1, 256, 240, 336)@torch.float32, sigmoid_18: (1, 256, 240, 336)@torch.float32) | Outputs: (mul_43: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group_0_block_3_conv_2_weight [decoder_group.0.block.3.conv.2.weight] (Inputs: () | Outputs: (decoder_group_0_block_3_conv_2_weight: (256, 256, 3, 3)@float32))
Information: Converted node decoder_group_0_block_3_conv_2_bias [decoder_group.0.block.3.conv.2.bias] (Inputs: () | Outputs: (decoder_group_0_block_3_conv_2_bias: (256,)@float32))
Information: Converted node decoder_group.0.block.3.conv.2/convolution_30 [aten.convolution.default] (Inputs: (mul_43: (1, 256, 240, 336)@torch.float32, decoder_group_0_block_3_conv_2_weight: (256, 256, 3, 3)@float32, decoder_group_0_block_3_conv_2_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_30: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group_0_block_3_conv_3_norm_weight [decoder_group.0.block.3.conv.3.norm.weight] (Inputs: () | Outputs: (decoder_group_0_block_3_conv_3_norm_weight: (256,)@float32))
Information: Converted node decoder_group_0_block_3_conv_3_norm_bias [decoder_group.0.block.3.conv.3.norm.bias] (Inputs: () | Outputs: (decoder_group_0_block_3_conv_3_norm_bias: (256,)@float32))
Information: Converted node decoder_group.0.block.3.conv.3.norm/native_group_norm_19 [aten.native_group_norm.default] (Inputs: (convolution_30: (1, 256, 240, 336)@torch.float32, decoder_group_0_block_3_conv_3_norm_weight: (256,)@float32, decoder_group_0_block_3_conv_3_norm_bias: (256,)@float32, 1, 256, 80640, 32, 1e-06) | Outputs: (native_group_norm_19: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node decoder_group.0.block.3.conv.3.norm/getitem_201 [<built-in function getitem>] (Inputs: (native_group_norm_19: ((1, 256, 240, 336)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_201: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group.0.block.3.conv.4.func/sigmoid_19 [aten.sigmoid.default] (Inputs: (getitem_201: (1, 256, 240, 336)@torch.float32) | Outputs: (sigmoid_19: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group.0.block.3.conv.4.func/mul_44 [aten.mul.Tensor] (Inputs: (getitem_201: (1, 256, 240, 336)@torch.float32, sigmoid_19: (1, 256, 240, 336)@torch.float32) | Outputs: (mul_44: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group_0_block_3_conv_5_weight [decoder_group.0.block.3.conv.5.weight] (Inputs: () | Outputs: (decoder_group_0_block_3_conv_5_weight: (256, 256, 3, 3)@float32))
Information: Converted node decoder_group_0_block_3_conv_5_bias [decoder_group.0.block.3.conv.5.bias] (Inputs: () | Outputs: (decoder_group_0_block_3_conv_5_bias: (256,)@float32))
Information: Converted node decoder_group.0.block.3.conv.5/convolution_31 [aten.convolution.default] (Inputs: (mul_44: (1, 256, 240, 336)@torch.float32, decoder_group_0_block_3_conv_5_weight: (256, 256, 3, 3)@float32, decoder_group_0_block_3_conv_5_bias: (256,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_31: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group.0.block.3/add_111 [aten.add.Tensor] (Inputs: (convolution_31: (1, 256, 240, 336)@torch.float32, add_110: (1, 256, 240, 336)@torch.float32) | Outputs: (add_111: (1, 256, 240, 336)@torch.float32))
Information: Converted node /add_112 [aten.add.Tensor] (Inputs: (add_111: (1, 256, 240, 336)@torch.float32, add_105: (1, 256, 240, 336)@torch.float32) | Outputs: (add_112: (1, 256, 240, 336)@torch.float32))
Information: Converted node decoder_group.1.block.0/upsample_nearest2d_3 [vsfemasr.upsample_nearest2d.default] (Inputs: (add_112: (1, 256, 240, 336)@torch.float32, None, [2.0, 2.0]) | Outputs: (upsample_nearest2d_3: (1, 256, 480, 672)@torch.float32))
Information: Converted node decoder_group_1_block_1_weight [decoder_group.1.block.1.weight] (Inputs: () | Outputs: (decoder_group_1_block_1_weight: (128, 256, 3, 3)@float32))
Information: Converted node decoder_group_1_block_1_bias [decoder_group.1.block.1.bias] (Inputs: () | Outputs: (decoder_group_1_block_1_bias: (128,)@float32))
Information: Converted node decoder_group.1.block.1/convolution_32 [aten.convolution.default] (Inputs: (upsample_nearest2d_3: (1, 256, 480, 672)@torch.float32, decoder_group_1_block_1_weight: (128, 256, 3, 3)@float32, decoder_group_1_block_1_bias: (128,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_32: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group_1_block_2_conv_0_norm_weight [decoder_group.1.block.2.conv.0.norm.weight] (Inputs: () | Outputs: (decoder_group_1_block_2_conv_0_norm_weight: (128,)@float32))
Information: Converted node decoder_group_1_block_2_conv_0_norm_bias [decoder_group.1.block.2.conv.0.norm.bias] (Inputs: () | Outputs: (decoder_group_1_block_2_conv_0_norm_bias: (128,)@float32))
Information: Converted node decoder_group.1.block.2.conv.0.norm/native_group_norm_20 [aten.native_group_norm.default] (Inputs: (convolution_32: (1, 128, 480, 672)@torch.float32, decoder_group_1_block_2_conv_0_norm_weight: (128,)@float32, decoder_group_1_block_2_conv_0_norm_bias: (128,)@float32, 1, 128, 322560, 32, 1e-06) | Outputs: (native_group_norm_20: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node decoder_group.1.block.2.conv.0.norm/getitem_204 [<built-in function getitem>] (Inputs: (native_group_norm_20: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_204: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group.1.block.2.conv.1.func/sigmoid_20 [aten.sigmoid.default] (Inputs: (getitem_204: (1, 128, 480, 672)@torch.float32) | Outputs: (sigmoid_20: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group.1.block.2.conv.1.func/mul_45 [aten.mul.Tensor] (Inputs: (getitem_204: (1, 128, 480, 672)@torch.float32, sigmoid_20: (1, 128, 480, 672)@torch.float32) | Outputs: (mul_45: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group_1_block_2_conv_2_weight [decoder_group.1.block.2.conv.2.weight] (Inputs: () | Outputs: (decoder_group_1_block_2_conv_2_weight: (128, 128, 3, 3)@float32))
Information: Converted node decoder_group_1_block_2_conv_2_bias [decoder_group.1.block.2.conv.2.bias] (Inputs: () | Outputs: (decoder_group_1_block_2_conv_2_bias: (128,)@float32))
Information: Converted node decoder_group.1.block.2.conv.2/convolution_33 [aten.convolution.default] (Inputs: (mul_45: (1, 128, 480, 672)@torch.float32, decoder_group_1_block_2_conv_2_weight: (128, 128, 3, 3)@float32, decoder_group_1_block_2_conv_2_bias: (128,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_33: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group_1_block_2_conv_3_norm_weight [decoder_group.1.block.2.conv.3.norm.weight] (Inputs: () | Outputs: (decoder_group_1_block_2_conv_3_norm_weight: (128,)@float32))
Information: Converted node decoder_group_1_block_2_conv_3_norm_bias [decoder_group.1.block.2.conv.3.norm.bias] (Inputs: () | Outputs: (decoder_group_1_block_2_conv_3_norm_bias: (128,)@float32))
Information: Converted node decoder_group.1.block.2.conv.3.norm/native_group_norm_21 [aten.native_group_norm.default] (Inputs: (convolution_33: (1, 128, 480, 672)@torch.float32, decoder_group_1_block_2_conv_3_norm_weight: (128,)@float32, decoder_group_1_block_2_conv_3_norm_bias: (128,)@float32, 1, 128, 322560, 32, 1e-06) | Outputs: (native_group_norm_21: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node decoder_group.1.block.2.conv.3.norm/getitem_207 [<built-in function getitem>] (Inputs: (native_group_norm_21: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_207: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group.1.block.2.conv.4.func/sigmoid_21 [aten.sigmoid.default] (Inputs: (getitem_207: (1, 128, 480, 672)@torch.float32) | Outputs: (sigmoid_21: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group.1.block.2.conv.4.func/mul_46 [aten.mul.Tensor] (Inputs: (getitem_207: (1, 128, 480, 672)@torch.float32, sigmoid_21: (1, 128, 480, 672)@torch.float32) | Outputs: (mul_46: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group_1_block_2_conv_5_weight [decoder_group.1.block.2.conv.5.weight] (Inputs: () | Outputs: (decoder_group_1_block_2_conv_5_weight: (128, 128, 3, 3)@float32))
Information: Converted node decoder_group_1_block_2_conv_5_bias [decoder_group.1.block.2.conv.5.bias] (Inputs: () | Outputs: (decoder_group_1_block_2_conv_5_bias: (128,)@float32))
Information: Converted node decoder_group.1.block.2.conv.5/convolution_34 [aten.convolution.default] (Inputs: (mul_46: (1, 128, 480, 672)@torch.float32, decoder_group_1_block_2_conv_5_weight: (128, 128, 3, 3)@float32, decoder_group_1_block_2_conv_5_bias: (128,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_34: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group.1.block.2/add_113 [aten.add.Tensor] (Inputs: (convolution_34: (1, 128, 480, 672)@torch.float32, convolution_32: (1, 128, 480, 672)@torch.float32) | Outputs: (add_113: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group_1_block_3_conv_0_norm_weight [decoder_group.1.block.3.conv.0.norm.weight] (Inputs: () | Outputs: (decoder_group_1_block_3_conv_0_norm_weight: (128,)@float32))
Information: Converted node decoder_group_1_block_3_conv_0_norm_bias [decoder_group.1.block.3.conv.0.norm.bias] (Inputs: () | Outputs: (decoder_group_1_block_3_conv_0_norm_bias: (128,)@float32))
Information: Converted node decoder_group.1.block.3.conv.0.norm/native_group_norm_22 [aten.native_group_norm.default] (Inputs: (add_113: (1, 128, 480, 672)@torch.float32, decoder_group_1_block_3_conv_0_norm_weight: (128,)@float32, decoder_group_1_block_3_conv_0_norm_bias: (128,)@float32, 1, 128, 322560, 32, 1e-06) | Outputs: (native_group_norm_22: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node decoder_group.1.block.3.conv.0.norm/getitem_210 [<built-in function getitem>] (Inputs: (native_group_norm_22: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_210: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group.1.block.3.conv.1.func/sigmoid_22 [aten.sigmoid.default] (Inputs: (getitem_210: (1, 128, 480, 672)@torch.float32) | Outputs: (sigmoid_22: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group.1.block.3.conv.1.func/mul_47 [aten.mul.Tensor] (Inputs: (getitem_210: (1, 128, 480, 672)@torch.float32, sigmoid_22: (1, 128, 480, 672)@torch.float32) | Outputs: (mul_47: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group_1_block_3_conv_2_weight [decoder_group.1.block.3.conv.2.weight] (Inputs: () | Outputs: (decoder_group_1_block_3_conv_2_weight: (128, 128, 3, 3)@float32))
Information: Converted node decoder_group_1_block_3_conv_2_bias [decoder_group.1.block.3.conv.2.bias] (Inputs: () | Outputs: (decoder_group_1_block_3_conv_2_bias: (128,)@float32))
Information: Converted node decoder_group.1.block.3.conv.2/convolution_35 [aten.convolution.default] (Inputs: (mul_47: (1, 128, 480, 672)@torch.float32, decoder_group_1_block_3_conv_2_weight: (128, 128, 3, 3)@float32, decoder_group_1_block_3_conv_2_bias: (128,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_35: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group_1_block_3_conv_3_norm_weight [decoder_group.1.block.3.conv.3.norm.weight] (Inputs: () | Outputs: (decoder_group_1_block_3_conv_3_norm_weight: (128,)@float32))
Information: Converted node decoder_group_1_block_3_conv_3_norm_bias [decoder_group.1.block.3.conv.3.norm.bias] (Inputs: () | Outputs: (decoder_group_1_block_3_conv_3_norm_bias: (128,)@float32))
Information: Converted node decoder_group.1.block.3.conv.3.norm/native_group_norm_23 [aten.native_group_norm.default] (Inputs: (convolution_35: (1, 128, 480, 672)@torch.float32, decoder_group_1_block_3_conv_3_norm_weight: (128,)@float32, decoder_group_1_block_3_conv_3_norm_bias: (128,)@float32, 1, 128, 322560, 32, 1e-06) | Outputs: (native_group_norm_23: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node decoder_group.1.block.3.conv.3.norm/getitem_213 [<built-in function getitem>] (Inputs: (native_group_norm_23: ((1, 128, 480, 672)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_213: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group.1.block.3.conv.4.func/sigmoid_23 [aten.sigmoid.default] (Inputs: (getitem_213: (1, 128, 480, 672)@torch.float32) | Outputs: (sigmoid_23: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group.1.block.3.conv.4.func/mul_48 [aten.mul.Tensor] (Inputs: (getitem_213: (1, 128, 480, 672)@torch.float32, sigmoid_23: (1, 128, 480, 672)@torch.float32) | Outputs: (mul_48: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group_1_block_3_conv_5_weight [decoder_group.1.block.3.conv.5.weight] (Inputs: () | Outputs: (decoder_group_1_block_3_conv_5_weight: (128, 128, 3, 3)@float32))
Information: Converted node decoder_group_1_block_3_conv_5_bias [decoder_group.1.block.3.conv.5.bias] (Inputs: () | Outputs: (decoder_group_1_block_3_conv_5_bias: (128,)@float32))
Information: Converted node decoder_group.1.block.3.conv.5/convolution_36 [aten.convolution.default] (Inputs: (mul_48: (1, 128, 480, 672)@torch.float32, decoder_group_1_block_3_conv_5_weight: (128, 128, 3, 3)@float32, decoder_group_1_block_3_conv_5_bias: (128,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_36: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group.1.block.3/add_114 [aten.add.Tensor] (Inputs: (convolution_36: (1, 128, 480, 672)@torch.float32, add_113: (1, 128, 480, 672)@torch.float32) | Outputs: (add_114: (1, 128, 480, 672)@torch.float32))
Information: Converted node /add_115 [aten.add.Tensor] (Inputs: (add_114: (1, 128, 480, 672)@torch.float32, add_107: (1, 128, 480, 672)@torch.float32) | Outputs: (add_115: (1, 128, 480, 672)@torch.float32))
Information: Converted node decoder_group.2.block.0/upsample_nearest2d_4 [vsfemasr.upsample_nearest2d.default] (Inputs: (add_115: (1, 128, 480, 672)@torch.float32, None, [2.0, 2.0]) | Outputs: (upsample_nearest2d_4: (1, 128, 960, 1344)@torch.float32))
Information: Converted node decoder_group_2_block_1_weight [decoder_group.2.block.1.weight] (Inputs: () | Outputs: (decoder_group_2_block_1_weight: (64, 128, 3, 3)@float32))
Information: Converted node decoder_group_2_block_1_bias [decoder_group.2.block.1.bias] (Inputs: () | Outputs: (decoder_group_2_block_1_bias: (64,)@float32))
Information: Converted node decoder_group.2.block.1/convolution_37 [aten.convolution.default] (Inputs: (upsample_nearest2d_4: (1, 128, 960, 1344)@torch.float32, decoder_group_2_block_1_weight: (64, 128, 3, 3)@float32, decoder_group_2_block_1_bias: (64,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_37: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group_2_block_2_conv_0_norm_weight [decoder_group.2.block.2.conv.0.norm.weight] (Inputs: () | Outputs: (decoder_group_2_block_2_conv_0_norm_weight: (64,)@float32))
Information: Converted node decoder_group_2_block_2_conv_0_norm_bias [decoder_group.2.block.2.conv.0.norm.bias] (Inputs: () | Outputs: (decoder_group_2_block_2_conv_0_norm_bias: (64,)@float32))
Information: Converted node decoder_group.2.block.2.conv.0.norm/native_group_norm_24 [aten.native_group_norm.default] (Inputs: (convolution_37: (1, 64, 960, 1344)@torch.float32, decoder_group_2_block_2_conv_0_norm_weight: (64,)@float32, decoder_group_2_block_2_conv_0_norm_bias: (64,)@float32, 1, 64, 1290240, 32, 1e-06) | Outputs: (native_group_norm_24: ((1, 64, 960, 1344)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node decoder_group.2.block.2.conv.0.norm/getitem_216 [<built-in function getitem>] (Inputs: (native_group_norm_24: ((1, 64, 960, 1344)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_216: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group.2.block.2.conv.1.func/sigmoid_24 [aten.sigmoid.default] (Inputs: (getitem_216: (1, 64, 960, 1344)@torch.float32) | Outputs: (sigmoid_24: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group.2.block.2.conv.1.func/mul_49 [aten.mul.Tensor] (Inputs: (getitem_216: (1, 64, 960, 1344)@torch.float32, sigmoid_24: (1, 64, 960, 1344)@torch.float32) | Outputs: (mul_49: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group_2_block_2_conv_2_weight [decoder_group.2.block.2.conv.2.weight] (Inputs: () | Outputs: (decoder_group_2_block_2_conv_2_weight: (64, 64, 3, 3)@float32))
Information: Converted node decoder_group_2_block_2_conv_2_bias [decoder_group.2.block.2.conv.2.bias] (Inputs: () | Outputs: (decoder_group_2_block_2_conv_2_bias: (64,)@float32))
Information: Converted node decoder_group.2.block.2.conv.2/convolution_38 [aten.convolution.default] (Inputs: (mul_49: (1, 64, 960, 1344)@torch.float32, decoder_group_2_block_2_conv_2_weight: (64, 64, 3, 3)@float32, decoder_group_2_block_2_conv_2_bias: (64,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_38: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group_2_block_2_conv_3_norm_weight [decoder_group.2.block.2.conv.3.norm.weight] (Inputs: () | Outputs: (decoder_group_2_block_2_conv_3_norm_weight: (64,)@float32))
Information: Converted node decoder_group_2_block_2_conv_3_norm_bias [decoder_group.2.block.2.conv.3.norm.bias] (Inputs: () | Outputs: (decoder_group_2_block_2_conv_3_norm_bias: (64,)@float32))
Information: Converted node decoder_group.2.block.2.conv.3.norm/native_group_norm_25 [aten.native_group_norm.default] (Inputs: (convolution_38: (1, 64, 960, 1344)@torch.float32, decoder_group_2_block_2_conv_3_norm_weight: (64,)@float32, decoder_group_2_block_2_conv_3_norm_bias: (64,)@float32, 1, 64, 1290240, 32, 1e-06) | Outputs: (native_group_norm_25: ((1, 64, 960, 1344)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node decoder_group.2.block.2.conv.3.norm/getitem_219 [<built-in function getitem>] (Inputs: (native_group_norm_25: ((1, 64, 960, 1344)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_219: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group.2.block.2.conv.4.func/sigmoid_25 [aten.sigmoid.default] (Inputs: (getitem_219: (1, 64, 960, 1344)@torch.float32) | Outputs: (sigmoid_25: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group.2.block.2.conv.4.func/mul_50 [aten.mul.Tensor] (Inputs: (getitem_219: (1, 64, 960, 1344)@torch.float32, sigmoid_25: (1, 64, 960, 1344)@torch.float32) | Outputs: (mul_50: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group_2_block_2_conv_5_weight [decoder_group.2.block.2.conv.5.weight] (Inputs: () | Outputs: (decoder_group_2_block_2_conv_5_weight: (64, 64, 3, 3)@float32))
Information: Converted node decoder_group_2_block_2_conv_5_bias [decoder_group.2.block.2.conv.5.bias] (Inputs: () | Outputs: (decoder_group_2_block_2_conv_5_bias: (64,)@float32))
Information: Converted node decoder_group.2.block.2.conv.5/convolution_39 [aten.convolution.default] (Inputs: (mul_50: (1, 64, 960, 1344)@torch.float32, decoder_group_2_block_2_conv_5_weight: (64, 64, 3, 3)@float32, decoder_group_2_block_2_conv_5_bias: (64,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_39: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group.2.block.2/add_116 [aten.add.Tensor] (Inputs: (convolution_39: (1, 64, 960, 1344)@torch.float32, convolution_37: (1, 64, 960, 1344)@torch.float32) | Outputs: (add_116: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group_2_block_3_conv_0_norm_weight [decoder_group.2.block.3.conv.0.norm.weight] (Inputs: () | Outputs: (decoder_group_2_block_3_conv_0_norm_weight: (64,)@float32))
Information: Converted node decoder_group_2_block_3_conv_0_norm_bias [decoder_group.2.block.3.conv.0.norm.bias] (Inputs: () | Outputs: (decoder_group_2_block_3_conv_0_norm_bias: (64,)@float32))
Information: Converted node decoder_group.2.block.3.conv.0.norm/native_group_norm_26 [aten.native_group_norm.default] (Inputs: (add_116: (1, 64, 960, 1344)@torch.float32, decoder_group_2_block_3_conv_0_norm_weight: (64,)@float32, decoder_group_2_block_3_conv_0_norm_bias: (64,)@float32, 1, 64, 1290240, 32, 1e-06) | Outputs: (native_group_norm_26: ((1, 64, 960, 1344)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node decoder_group.2.block.3.conv.0.norm/getitem_222 [<built-in function getitem>] (Inputs: (native_group_norm_26: ((1, 64, 960, 1344)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_222: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group.2.block.3.conv.1.func/sigmoid_26 [aten.sigmoid.default] (Inputs: (getitem_222: (1, 64, 960, 1344)@torch.float32) | Outputs: (sigmoid_26: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group.2.block.3.conv.1.func/mul_51 [aten.mul.Tensor] (Inputs: (getitem_222: (1, 64, 960, 1344)@torch.float32, sigmoid_26: (1, 64, 960, 1344)@torch.float32) | Outputs: (mul_51: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group_2_block_3_conv_2_weight [decoder_group.2.block.3.conv.2.weight] (Inputs: () | Outputs: (decoder_group_2_block_3_conv_2_weight: (64, 64, 3, 3)@float32))
Information: Converted node decoder_group_2_block_3_conv_2_bias [decoder_group.2.block.3.conv.2.bias] (Inputs: () | Outputs: (decoder_group_2_block_3_conv_2_bias: (64,)@float32))
Information: Converted node decoder_group.2.block.3.conv.2/convolution_40 [aten.convolution.default] (Inputs: (mul_51: (1, 64, 960, 1344)@torch.float32, decoder_group_2_block_3_conv_2_weight: (64, 64, 3, 3)@float32, decoder_group_2_block_3_conv_2_bias: (64,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_40: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group_2_block_3_conv_3_norm_weight [decoder_group.2.block.3.conv.3.norm.weight] (Inputs: () | Outputs: (decoder_group_2_block_3_conv_3_norm_weight: (64,)@float32))
Information: Converted node decoder_group_2_block_3_conv_3_norm_bias [decoder_group.2.block.3.conv.3.norm.bias] (Inputs: () | Outputs: (decoder_group_2_block_3_conv_3_norm_bias: (64,)@float32))
Information: Converted node decoder_group.2.block.3.conv.3.norm/native_group_norm_27 [aten.native_group_norm.default] (Inputs: (convolution_40: (1, 64, 960, 1344)@torch.float32, decoder_group_2_block_3_conv_3_norm_weight: (64,)@float32, decoder_group_2_block_3_conv_3_norm_bias: (64,)@float32, 1, 64, 1290240, 32, 1e-06) | Outputs: (native_group_norm_27: ((1, 64, 960, 1344)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32)))
Information: Converted node decoder_group.2.block.3.conv.3.norm/getitem_225 [<built-in function getitem>] (Inputs: (native_group_norm_27: ((1, 64, 960, 1344)@torch.float32, (1, 32)@torch.float32, (1, 32)@torch.float32), 0) | Outputs: (getitem_225: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group.2.block.3.conv.4.func/sigmoid_27 [aten.sigmoid.default] (Inputs: (getitem_225: (1, 64, 960, 1344)@torch.float32) | Outputs: (sigmoid_27: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group.2.block.3.conv.4.func/mul_52 [aten.mul.Tensor] (Inputs: (getitem_225: (1, 64, 960, 1344)@torch.float32, sigmoid_27: (1, 64, 960, 1344)@torch.float32) | Outputs: (mul_52: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group_2_block_3_conv_5_weight [decoder_group.2.block.3.conv.5.weight] (Inputs: () | Outputs: (decoder_group_2_block_3_conv_5_weight: (64, 64, 3, 3)@float32))
Information: Converted node decoder_group_2_block_3_conv_5_bias [decoder_group.2.block.3.conv.5.bias] (Inputs: () | Outputs: (decoder_group_2_block_3_conv_5_bias: (64,)@float32))
Information: Converted node decoder_group.2.block.3.conv.5/convolution_41 [aten.convolution.default] (Inputs: (mul_52: (1, 64, 960, 1344)@torch.float32, decoder_group_2_block_3_conv_5_weight: (64, 64, 3, 3)@float32, decoder_group_2_block_3_conv_5_bias: (64,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_41: (1, 64, 960, 1344)@torch.float32))
Information: Converted node decoder_group.2.block.3/add_117 [aten.add.Tensor] (Inputs: (convolution_41: (1, 64, 960, 1344)@torch.float32, add_116: (1, 64, 960, 1344)@torch.float32) | Outputs: (add_117: (1, 64, 960, 1344)@torch.float32))
Information: Converted node out_conv_weight [out_conv.weight] (Inputs: () | Outputs: (out_conv_weight: (3, 64, 3, 3)@float32))
Information: Converted node out_conv_bias [out_conv.bias] (Inputs: () | Outputs: (out_conv_bias: (3,)@float32))
Information: Converted node out_conv/convolution_42 [aten.convolution.default] (Inputs: (add_117: (1, 64, 960, 1344)@torch.float32, out_conv_weight: (3, 64, 3, 3)@float32, out_conv_bias: (3,)@float32, [1, 1], [1, 1], [1, 1], False, [0, 0], 1) | Outputs: (convolution_42: (1, 3, 960, 1344)@torch.float32))
Information: Converted node output [output] (Inputs: (convolution_42: (1, 3, 960, 1344)@torch.float32) | Outputs: (output: ))
Information: TRT INetwork construction elapsed time: 0:00:00.690073
Information: Not found cached TRT engines. Start building engine.
Warning: sizeInBytes -1 should not be negative value, IBuilderConfig::setL2LimitForTiling(-1) has no effect.
Information: Global timing cache in use. Profiling results in this builder pass will be stored.
Information: Compiler backend is used during engine build.
Information: Detected 1 inputs and 1 output network tensors.
Information: Total Host Persistent Memory: 174704 bytes
Information: Total Device Persistent Memory: 0 bytes
Information: Max Scratch Memory: 247726080 bytes
Information: [BlockAssignment] Started assigning block shifts. This will take 154 steps to complete.
Information: [BlockAssignment] Algorithm ShiftNTopDown took 2.8373ms to assign 9 blocks to 154 nodes requiring 2313511936 bytes.
Information: Total Activation Memory: 2313511936 bytes
Information: Total Weights Memory: 295203724 bytes
Information: Compiler backend is used during engine execution.
Information: Engine generation completed in 8.68293 seconds.
Information: [MemUsageStats] Peak memory usage of TRT CPU/GPU memory allocators: CPU 8 MiB, GPU 1262 MiB
Information: Build TRT engine elapsed time: 0:00:09.196489
Information: TRT Engine uses: 306138012 bytes of Memory
Information: Serialized 2223 bytes of code generator cache.
Information: Serialized 2088732 bytes of compilation cache.
Information: Serialized 1617 timing cache entries
Warning: Provided model is a torch.fx.GraphModule and retrace is False, inputs or arg_inputs is not necessary during save.
Error: fwrite() call failed when writing frame: 0, plane: 0, errno: 22
Output 34 frames in 14.53 seconds (2.34 fps)

