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Selur's Little Message Board › Talk, Talk, Talk › Small Talk v
Deoldify Vapoursynth filter

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Deoldify Vapoursynth filter
Dan64 Offline
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#751
10.11.2024, 12:00
But why you are installing nightly builds of pytorch instead of installing the stable version 2.5.1.
Pytorch is still in strong development and I don't think that installing a nightly build for production is a good idea.

Can you use the stable version 2.5.1, which in any case is an upgrade respect 2.4

Dan
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Selur Offline
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#752
10.11.2024, 12:07
Problem is that https://github.com/HolyWu/vs-rife and other HolyWu projects require 2.6.
Quote:Torch-TensorRT 2.5.0 doesn't have a necessary functionality I need to use, hence 2.6.0.dev is mandatory.
see: https://github.com/HolyWu/vs-rife/issues/65

Cu Selur
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Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
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Dan64 Offline
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#753
10.11.2024, 13:15
Try to install the attached version (delete the previous one before this install).
The attached file cannot installed with pip.
You need to unzip directly in the lib directory.

Dan


Attached Files
.zip   spatial_correlation_sampler-0.5.0-py312-cp312-win_amd64_cuda12.4.whl.zip (Size: 126,38 KB / Downloads: 16)
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Selur Offline
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#754
10.11.2024, 13:27 (This post was last modified: 10.11.2024, 13:29 by Selur.)
Deleted all the files that come with the zip, extracted the zip into the Hybrid\64bit\Vapoursynth\Lib\site-packages folder.
With 'remote' I get:
2024-11-10 12:27:02.153
Failed to evaluate the script:
Python exception: Failed to initialize ColorMNet[remote] try ColorMNet[local]

Traceback (most recent call last):
File "src\\cython\\vapoursynth.pyx", line 3387, in vapoursynth._vpy_evaluate
File "src\\cython\\vapoursynth.pyx", line 3388, in vapoursynth._vpy_evaluate
File "J:\tmp\tempPreviewVapoursynthFile12_26_45_945.vpy", line 44, in
clip = HAVC_main(clip=clip, EnableDeepEx=True, DeepExMethod=0, DeepExRefMerge=0, ScFrameDir=None, DeepExModel=0, DeepExEncMode=0, DeepExMaxMemFrames=0)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 317, in HAVC_main
clip_colored = HAVC_deepex(clip=clip, clip_ref=clip_ref, method=DeepExMethod, render_speed=DeepExPreset,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 615, in HAVC_deepex
clip_colored = vs_colormnet(clip, clip_ref, clip_sc, image_size=-1, enable_resize=enable_resize,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsmodels.py", line 45, in vs_colormnet
return vs_colormnet_remote(clip, clip_ref, clip_sc, image_size, enable_resize, frame_propagate,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\__init__.py", line 136, in vs_colormnet_remote
HAVC_LogMessage(MessageType.EXCEPTION, "Failed to initialize ColorMNet[remote] try ColorMNet[local]")
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsutils.py", line 47, in HAVC_LogMessage
raise vs.Error(message_text)
vapoursynth.Error: Failed to initialize ColorMNet[remote] try ColorMNet[local]
with 'local' I get:
2024-11-10 12:26:14.819
Failed to evaluate the script:
Python exception: DLL load failed while importing spatial_correlation_sampler_backend: Die angegebene Prozedur wurde nicht gefunden.

Traceback (most recent call last):
File "src\\cython\\vapoursynth.pyx", line 3387, in vapoursynth._vpy_evaluate
File "src\\cython\\vapoursynth.pyx", line 3388, in vapoursynth._vpy_evaluate
File "J:\tmp\tempPreviewVapoursynthFile12_25_48_640.vpy", line 44, in
clip = HAVC_main(clip=clip, EnableDeepEx=True, DeepExMethod=0, DeepExRefMerge=0, ScFrameDir=None, DeepExModel=0, DeepExEncMode=1, DeepExMaxMemFrames=0)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 317, in HAVC_main
clip_colored = HAVC_deepex(clip=clip, clip_ref=clip_ref, method=DeepExMethod, render_speed=DeepExPreset,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 615, in HAVC_deepex
clip_colored = vs_colormnet(clip, clip_ref, clip_sc, image_size=-1, enable_resize=enable_resize,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsmodels.py", line 48, in vs_colormnet
return vs_colormnet_local(clip, clip_ref, clip_sc, image_size, enable_resize, frame_propagate,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\__init__.py", line 52, in vs_colormnet_local
colorizer = ColorMNetRender(image_size=image_size, vid_length=vid_length, enable_resize=enable_resize,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\colormnet_render.py", line 90, in __init__
self._colorize_init(image_size, vid_length, propagate)
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\colormnet_render.py", line 144, in _colorize_init
self.network = ColorMNet(self.config, self.config['model']).cuda().eval()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\model\network.py", line 37, in __init__
self.short_term_attn = LocalGatedPropagation(d_qk=64, # 256
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\model\attention.py", line 763, in __init__
from spatial_correlation_sampler import SpatialCorrelationSampler
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\spatial_correlation_sampler\__init__.py", line 1, in
from .spatial_correlation_sampler import SpatialCorrelationSampler, spatial_correlation_sample
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\spatial_correlation_sampler\spatial_correlation_sampler.py", line 6, in
import spatial_correlation_sampler_backend as correlation
ImportError: DLL load failed while importing spatial_correlation_sampler_backend: Die angegebene Prozedur wurde nicht gefunden.

So, sadly, that did not solve the problem.

Cu Selur

Ps.: would it help if I upload my Vapoursynth folder somewhere and share it?
----
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
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Dan64 Offline
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#755
10.11.2024, 14:24
Currently the attached version is working only in the colormnet environment created with the requirements of RIFE: https://github.com/HolyWu/vs-rife

It is a problem to create a test environment from the vapoutsynth installation.

I will try a different setup

Dan
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Dan64 Offline
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#756
10.11.2024, 15:34
The attached version will work with Hybrid.

I had to install the same nightly build on Hybrid with the command

python -m pip install --pre -U torch torchvision torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu124 --extra-index-url https://pypi.nvidia.com


The problem is that with this update will work only ColorMNet, vsdeoldify is broken.
I get the following error

Failed to evaluate the script:
Python exception: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint.
(1) Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
(2) Alternatively, to load with `weights_only=True` please check the recommended steps in the following error message.
WeightsUnpickler error: Unsupported global: GLOBAL functools.partial was not an allowed global by default. Please use `torch.serialization.add_safe_globals([partial])` or the `torch.serialization.safe_globals([partial])` context manager to allowlist this global if you trust this class/function.
Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generate....load.html.

I will try to delete all the checkpoints, and let torch to download them.
I hope that this will fix this issue.

Dan


Attached Files
.zip   spatial_correlation_sampler-0.5.0-py312-cp312-win_amd64_cuda12.4.whl.zip (Size: 126,37 KB / Downloads: 16)
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Selur Offline
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#757
10.11.2024, 15:43
Should I also reinstall torch stuff?
Using just the attached zip I still get the same errors as before.
2024-11-10 14:42:51.426
Failed to evaluate the script:
Python exception: Failed to initialize ColorMNet[remote] try ColorMNet[local]

Traceback (most recent call last):
File "src\\cython\\vapoursynth.pyx", line 3387, in vapoursynth._vpy_evaluate
File "src\\cython\\vapoursynth.pyx", line 3388, in vapoursynth._vpy_evaluate
File "J:\tmp\tempPreviewVapoursynthFile14_42_39_304.vpy", line 44, in
clip = HAVC_main(clip=clip, EnableDeepEx=True, DeepExMethod=0, DeepExRefMerge=0, ScFrameDir=None, DeepExModel=0, DeepExEncMode=0, DeepExMaxMemFrames=0)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 317, in HAVC_main
clip_colored = HAVC_deepex(clip=clip, clip_ref=clip_ref, method=DeepExMethod, render_speed=DeepExPreset,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 615, in HAVC_deepex
clip_colored = vs_colormnet(clip, clip_ref, clip_sc, image_size=-1, enable_resize=enable_resize,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsmodels.py", line 45, in vs_colormnet
return vs_colormnet_remote(clip, clip_ref, clip_sc, image_size, enable_resize, frame_propagate,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\__init__.py", line 136, in vs_colormnet_remote
HAVC_LogMessage(MessageType.EXCEPTION, "Failed to initialize ColorMNet[remote] try ColorMNet[local]")
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsutils.py", line 47, in HAVC_LogMessage
raise vs.Error(message_text)
vapoursynth.Error: Failed to initialize ColorMNet[remote] try ColorMNet[local]
2024-11-10 14:43:13.526
Failed to evaluate the script:
Python exception: DLL load failed while importing spatial_correlation_sampler_backend: Die angegebene Prozedur wurde nicht gefunden.

Traceback (most recent call last):
File "src\\cython\\vapoursynth.pyx", line 3387, in vapoursynth._vpy_evaluate
File "src\\cython\\vapoursynth.pyx", line 3388, in vapoursynth._vpy_evaluate
File "J:\tmp\tempPreviewVapoursynthFile14_43_01_504.vpy", line 44, in
clip = HAVC_main(clip=clip, EnableDeepEx=True, DeepExMethod=0, DeepExRefMerge=0, ScFrameDir=None, DeepExModel=0, DeepExEncMode=1, DeepExMaxMemFrames=0)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 317, in HAVC_main
clip_colored = HAVC_deepex(clip=clip, clip_ref=clip_ref, method=DeepExMethod, render_speed=DeepExPreset,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 615, in HAVC_deepex
clip_colored = vs_colormnet(clip, clip_ref, clip_sc, image_size=-1, enable_resize=enable_resize,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsmodels.py", line 48, in vs_colormnet
return vs_colormnet_local(clip, clip_ref, clip_sc, image_size, enable_resize, frame_propagate,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\__init__.py", line 52, in vs_colormnet_local
colorizer = ColorMNetRender(image_size=image_size, vid_length=vid_length, enable_resize=enable_resize,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\colormnet_render.py", line 90, in __init__
self._colorize_init(image_size, vid_length, propagate)
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\colormnet_render.py", line 144, in _colorize_init
self.network = ColorMNet(self.config, self.config['model']).cuda().eval()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\model\network.py", line 37, in __init__
self.short_term_attn = LocalGatedPropagation(d_qk=64, # 256
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\colormnet\model\attention.py", line 763, in __init__
from spatial_correlation_sampler import SpatialCorrelationSampler
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\spatial_correlation_sampler\__init__.py", line 1, in
from .spatial_correlation_sampler import SpatialCorrelationSampler, spatial_correlation_sample
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\spatial_correlation_sampler\spatial_correlation_sampler.py", line 6, in
import spatial_correlation_sampler_backend as correlation
ImportError: DLL load failed while importing spatial_correlation_sampler_backend: Die angegebene Prozedur wurde nicht gefunden.

Cu Selur
----
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
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Dan64 Offline
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#758
10.11.2024, 16:06
yes, you need to align your torch version to the last nightly build.

PS D:\Programs\Hybrid\64bit\Vapoursynth> .\python -m pip install --pre -U torch torchvision torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu124 --extra-index-url https://pypi.nvidia.com
Looking in indexes: https://download.pytorch.org/whl/nightly/cu124, https://pypi.nvidia.com
Requirement already satisfied: torch in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (2.6.0.dev20241101+cu124)
Collecting torch
  Using cached https://download.pytorch.org/whl/nightly/cu124/torch-2.6.0.dev20241109%2Bcu124-cp312-cp312-win_amd64.whl (2518.0 MB)
Requirement already satisfied: torchvision in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (0.20.0.dev20241101+cu124)
Collecting torchvision
  Using cached https://download.pytorch.org/whl/nightly/cu124/torchvision-0.20.0.dev20241109%2Bcu124-cp312-cp312-win_amd64.whl (6.3 MB)
Requirement already satisfied: torch_tensorrt in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (2.6.0.dev20241101+cu124)
Collecting torch_tensorrt
  Using cached https://download.pytorch.org/whl/nightly/cu124/torch_tensorrt-2.6.0.dev20241109%2Bcu124-cp312-cp312-win_amd64.whl (2.9 MB)
Requirement already satisfied: filelock in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (3.13.1)
Requirement already satisfied: typing-extensions>=4.10.0 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (4.12.2)
Requirement already satisfied: networkx in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (3.3)
Requirement already satisfied: jinja2 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (3.1.4)
Requirement already satisfied: fsspec in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (2024.6.1)
Requirement already satisfied: setuptools in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (75.1.0)
Requirement already satisfied: sympy==1.13.1 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (1.13.1)
Requirement already satisfied: mpmath<1.4,>=1.1.0 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from sympy==1.13.1->torch) (1.3.0)
Requirement already satisfied: numpy in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torchvision) (1.26.4)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torchvision) (10.1.0)
Collecting tensorrt-cu12==10.3.0 (from torch_tensorrt)
  Using cached tensorrt_cu12-10.3.0-py2.py3-none-any.whl
Collecting tensorrt-cu12-bindings==10.3.0 (from torch_tensorrt)
  Using cached https://pypi.nvidia.com/tensorrt-cu12-bindings/tensorrt_cu12_bindings-10.3.0-cp312-none-win_amd64.whl (788 kB)
Collecting tensorrt-cu12-libs==10.3.0 (from torch_tensorrt)
  Using cached https://pypi.nvidia.com/tensorrt-cu12-libs/tensorrt_cu12_libs-10.3.0-py2.py3-none-win_amd64.whl (1062.8 MB)
Requirement already satisfied: packaging>=23 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from torch_tensorrt) (24.1)
Requirement already satisfied: nvidia-cuda-runtime-cu12 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from tensorrt-cu12-libs==10.3.0->torch_tensorrt) (12.6.68)
Requirement already satisfied: MarkupSafe>=2.0 in d:\programs\hybrid\64bit\vapoursynth\lib\site-packages (from jinja2->torch) (2.1.5)
Installing collected packages: tensorrt-cu12-bindings, tensorrt-cu12-libs, tensorrt-cu12, torch, torchvision, torch_tensorrt
  Attempting uninstall: tensorrt-cu12-bindings
    Found existing installation: tensorrt-cu12_bindings 10.5.0
    Uninstalling tensorrt-cu12_bindings-10.5.0:
      Successfully uninstalled tensorrt-cu12_bindings-10.5.0
  Attempting uninstall: tensorrt-cu12-libs
    Found existing installation: tensorrt-cu12_libs 10.5.0
    Uninstalling tensorrt-cu12_libs-10.5.0:
      Successfully uninstalled tensorrt-cu12_libs-10.5.0
  Attempting uninstall: tensorrt-cu12
    Found existing installation: tensorrt-cu12 10.5.0
    Uninstalling tensorrt-cu12-10.5.0:
      Successfully uninstalled tensorrt-cu12-10.5.0
  Attempting uninstall: torch
    Found existing installation: torch 2.6.0.dev20241101+cu124
    Uninstalling torch-2.6.0.dev20241101+cu124:
      Successfully uninstalled torch-2.6.0.dev20241101+cu124
  WARNING: The scripts convert-caffe2-to-onnx.exe, convert-onnx-to-caffe2.exe, torchfrtrace.exe and torchrun.exe are installed in 'D:\Programs\Hybrid\64bit\Vapoursynth\Scripts' which is not on PATH.
  Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
  Attempting uninstall: torchvision
    Found existing installation: torchvision 0.20.0.dev20241101+cu124
    Uninstalling torchvision-0.20.0.dev20241101+cu124:
      Successfully uninstalled torchvision-0.20.0.dev20241101+cu124
  Attempting uninstall: torch_tensorrt
    Found existing installation: torch_tensorrt 2.6.0.dev20241101+cu124
    Uninstalling torch_tensorrt-2.6.0.dev20241101+cu124:
      Successfully uninstalled torch_tensorrt-2.6.0.dev20241101+cu124
Successfully installed tensorrt-cu12-10.3.0 tensorrt-cu12-bindings-10.3.0 tensorrt-cu12-libs-10.3.0 torch-2.6.0.dev20241109+cu124 torch_tensorrt-2.6.0.dev20241109+cu124 torchvision-0.20.0.dev20241109+cu124
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Selur Offline
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#759
10.11.2024, 16:25
python -m pip install --pre -U torch torchvision torch_tensorrt --index-url https://download.pytorch.org/whl/nightly/cu124 --extra-index-url https://pypi.nvidia.com
Looking in indexes: https://download.pytorch.org/whl/nightly/cu124, https://pypi.nvidia.com
Requirement already satisfied: torch in f:\hybrid\64bit\vapoursynth\lib\site-packages (2.6.0.dev20241031+cu124)
Collecting torch
  Downloading https://download.pytorch.org/whl/nightly/cu124/torch-2.6.0.dev20241109%2Bcu124-cp312-cp312-win_amd64.whl (2518.0 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.5/2.5 GB 11.1 MB/s eta 0:00:00
Requirement already satisfied: torchvision in f:\hybrid\64bit\vapoursynth\lib\site-packages (0.20.0.dev20241031+cu124)
Collecting torchvision
  Downloading https://download.pytorch.org/whl/nightly/cu124/torchvision-0.20.0.dev20241109%2Bcu124-cp312-cp312-win_amd64.whl (6.3 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/6.3 MB 12.4 MB/s eta 0:00:00
Requirement already satisfied: torch_tensorrt in f:\hybrid\64bit\vapoursynth\lib\site-packages (2.6.0.dev20241031+cu124)
Collecting torch_tensorrt
  Downloading https://download.pytorch.org/whl/nightly/cu124/torch_tensorrt-2.6.0.dev20241110%2Bcu124-cp312-cp312-win_amd64.whl (2.9 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.9/2.9 MB 6.8 MB/s eta 0:00:00
Requirement already satisfied: filelock in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (3.13.1)
Requirement already satisfied: typing-extensions>=4.10.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (4.12.2)
Requirement already satisfied: networkx in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (3.3)
Requirement already satisfied: jinja2 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (3.1.4)
Requirement already satisfied: fsspec in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (2024.6.1)
Requirement already satisfied: setuptools in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (75.3.0)
Requirement already satisfied: sympy==1.13.1 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch) (1.13.1)
Requirement already satisfied: mpmath<1.4,>=1.1.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from sympy==1.13.1->torch) (1.3.0)
Requirement already satisfied: numpy in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torchvision) (1.26.4)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torchvision) (10.1.0)
Collecting tensorrt-cu12==10.3.0 (from torch_tensorrt)
  Using cached tensorrt_cu12-10.3.0-py2.py3-none-any.whl
Collecting tensorrt-cu12-bindings==10.3.0 (from torch_tensorrt)
  Using cached https://pypi.nvidia.com/tensorrt-cu12-bindings/tensorrt_cu12_bindings-10.3.0-cp312-none-win_amd64.whl (788 kB)
Collecting tensorrt-cu12-libs==10.3.0 (from torch_tensorrt)
  Using cached https://pypi.nvidia.com/tensorrt-cu12-libs/tensorrt_cu12_libs-10.3.0-py2.py3-none-win_amd64.whl (1062.8 MB)
Requirement already satisfied: packaging>=23 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from torch_tensorrt) (24.1)
Requirement already satisfied: nvidia-cuda-runtime-cu12 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from tensorrt-cu12-libs==10.3.0->torch_tensorrt) (12.6.68)
Requirement already satisfied: MarkupSafe>=2.0 in f:\hybrid\64bit\vapoursynth\lib\site-packages (from jinja2->torch) (2.1.5)
Installing collected packages: tensorrt-cu12-bindings, tensorrt-cu12-libs, tensorrt-cu12, torch, torchvision, torch_tensorrt
  Attempting uninstall: tensorrt-cu12-bindings
    Found existing installation: tensorrt-cu12_bindings 10.5.0
    Uninstalling tensorrt-cu12_bindings-10.5.0:
      Successfully uninstalled tensorrt-cu12_bindings-10.5.0
  Attempting uninstall: tensorrt-cu12-libs
    Found existing installation: tensorrt-cu12_libs 10.5.0
    Uninstalling tensorrt-cu12_libs-10.5.0:
      Successfully uninstalled tensorrt-cu12_libs-10.5.0
  Attempting uninstall: tensorrt-cu12
    Found existing installation: tensorrt-cu12 10.5.0
    Uninstalling tensorrt-cu12-10.5.0:
      Successfully uninstalled tensorrt-cu12-10.5.0
  Attempting uninstall: torch
    Found existing installation: torch 2.6.0.dev20241031+cu124
    Uninstalling torch-2.6.0.dev20241031+cu124:
      Successfully uninstalled torch-2.6.0.dev20241031+cu124
  WARNING: The scripts convert-caffe2-to-onnx.exe, convert-onnx-to-caffe2.exe, torchfrtrace.exe and torchrun.exe are installed in 'F:\Hybrid\64bit\Vapoursynth\Scripts' which is not on PATH.
  Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
  Attempting uninstall: torchvision
    Found existing installation: torchvision 0.20.0.dev20241031+cu124
    Uninstalling torchvision-0.20.0.dev20241031+cu124:
      Successfully uninstalled torchvision-0.20.0.dev20241031+cu124
  Attempting uninstall: torch_tensorrt
    Found existing installation: torch_tensorrt 2.6.0.dev20241031+cu124
    Uninstalling torch_tensorrt-2.6.0.dev20241031+cu124:
      Successfully uninstalled torch_tensorrt-2.6.0.dev20241031+cu124
Successfully installed tensorrt-cu12-10.3.0 tensorrt-cu12-bindings-10.3.0 tensorrt-cu12-libs-10.3.0 torch-2.6.0.dev20241109+cu124 torch_tensorrt-2.6.0.dev20241110+cu124 torchvision-0.20.0.dev20241109+cu124
seems to have broken even more:
Script evaluation failed:
Python exception: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint.
        (1) Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
        (2) Alternatively, to load with `weights_only=True` please check the recommended steps in the following error message.
        WeightsUnpickler error: Unsupported global: GLOBAL functools.partial was not an allowed global by default. Please use `torch.serialization.add_safe_globals([partial])` or the `torch.serialization.safe_globals([partial])` context manager to allowlist this global if you trust this class/function.

Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.

Traceback (most recent call last):
  File "src\\cython\\vapoursynth.pyx", line 3387, in vapoursynth._vpy_evaluate
  File "src\\cython\\vapoursynth.pyx", line 3388, in vapoursynth._vpy_evaluate
  File "j:\tmp\test.vpy", line 44, in <module>
    clip = HAVC_main(clip=clip, EnableDeepEx=True, DeepExMethod=0, DeepExRefMerge=0, ScFrameDir=None, DeepExModel=0, DeepExEncMode=1, DeepExMaxMemFrames=0)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "f:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 310, in HAVC_main
    clip_ref = HAVC_ddeoldify(clip, method=2, mweight=ddcolor_weight[w_id],
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "f:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\__init__.py", line 824, in HAVC_ddeoldify
    clipa = vs_sc_deoldify(clip, method=method, model=deoldify_model, render_factor=deoldify_rf,
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "f:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\vsslib\vsmodels.py", line 143, in vs_sc_deoldify
    colorizer = m_cfg.get_image_colorizer(artistic=False, isvideo=True)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "f:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\deoldify\visualize.py", line 76, in get_image_colorizer
    return self._get_stable_video_colorizer(render_factor=render_factor)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "f:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\deoldify\visualize.py", line 137, in _get_stable_video_colorizer
    learn = gen_inference_wide(root_folder=root_folder, weights_name=weights_name)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "f:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\deoldify\generators.py", line 19, in gen_inference_wide
    learn.load(weights_name)
  File "f:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\fastai\basic_train.py", line 267, in load
    if purge: self.purge(clear_opt=ifnone(with_opt, False))
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "f:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsdeoldify\fastai\basic_train.py", line 322, in purge
    state = torch.load(tmp_file)
            ^^^^^^^^^^^^^^^^^^^^
  File "f:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch\serialization.py", line 1444, in load
    raise pickle.UnpicklingError(_get_wo_message(str(e))) from None
_pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint.
        (1) Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
        (2) Alternatively, to load with `weights_only=True` please check the recommended steps in the following error message.
        WeightsUnpickler error: Unsupported global: GLOBAL functools.partial was not an allowed global by default. Please use `torch.serialization.add_safe_globals([partial])` or the `torch.serialization.safe_globals([partial])` context manager to allowlist this global if you trust this class/function.

Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.
now BasicVSR++ doesn't work either.
2024-11-10 15:25:21.186
F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\mmengine\optim\optimizer\zero_optimizer.py:11: DeprecationWarning: `TorchScript` support for functional optimizers is deprecated and will be removed in a future PyTorch release. Consider using the `torch.compile` optimizer instead.
from torch.distributed.optim import \

F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\mmengine\optim\optimizer\zero_optimizer.py:11: DeprecationWarning: `TorchScript` support for functional optimizers is deprecated and will be removed in a future PyTorch release. Consider using the `torch.compile` optimizer instead.
from torch.distributed.optim import \

2024-11-10 15:25:21.260
Failed to evaluate the script:
Python exception: DLL load failed while importing _ext: Die angegebene Prozedur wurde nicht gefunden.

Traceback (most recent call last):
File "src\\cython\\vapoursynth.pyx", line 3387, in vapoursynth._vpy_evaluate
File "src\\cython\\vapoursynth.pyx", line 3388, in vapoursynth._vpy_evaluate
File "J:\tmp\tempPreviewVapoursynthFile15_25_19_209.vpy", line 37, in
from vsbasicvsrpp import basicvsrpp as BasicVSRPP
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsbasicvsrpp\__init__.py", line 13, in
from .basicvsr_plusplus_net import BasicVSRPlusPlusNet
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\vsbasicvsrpp\basicvsr_plusplus_net.py", line 5, in
from mmcv.ops import ModulatedDeformConv2d, modulated_deform_conv2d
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\mmcv\ops\__init__.py", line 3, in
from .active_rotated_filter import active_rotated_filter
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\mmcv\ops\active_rotated_filter.py", line 10, in
ext_module = ext_loader.load_ext(
^^^^^^^^^^^^^^^^^^^^
File "F:\Hybrid\64bit\Vapoursynth\Lib\site-packages\mmcv\utils\ext_loader.py", line 13, in load_ext
ext = importlib.import_module('mmcv.' + name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "importlib\__init__.py", line 90, in import_module
ImportError: DLL load failed while importing _ext: Die angegebene Prozedur wurde nicht gefunden.

:/
----
Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
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Dan64 Offline
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Posts: 750
Threads: 72
Joined: Feb 2020
#760
10.11.2024, 16:35
I released an updated version of 4.5.0 you can install it with the command

python -m pip install https://github.com/dan64/vs-deoldify/releases/download/v4.5.0/vsdeoldify-4.5.0-py3-none-any.whl

Regarding VasicVSR++, I think that is necessary to release a new build of mmvc.
The last time it was a nightmare to obtain a working version...

But with your version torch-2.6.0.dev20241031+cu124 BasicVSR++ was working ?

Dan
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