Selur's Little Message Board

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Hello Selur,

I found a movie that CRASH the encoding when I apply the weighted resize.
I attached an archive with all the necessary information.

Thanks,
Dan

Code:
clip = core.std.Merge(clipa=clipSmoothed, clipb=clip, weight=0.4)

                                             ^

SyntaxError: invalid non-printable character U+00A0

another non-printable character Sad

-> I'll compile a new version and send you links once I uploaded everything.

Cu Selur

Nope, removing that character does not fix the problem.
-> looking into it

My ugess is that it's related to TRT, since when I call the call inside a Windows Command Prompt now, I get:

Code:
Warning: i:\Hybrid\64bit\Vapoursynth\Lib\site-packages\torch_tensorrt\fx\tracer\acc_tracer\acc_tracer.py:584: UserWarning: acc_tracer does not support currently support models for training. Calling eval on model before tracing.

  warnings.warn(

Information: == Log pass <function fuse_permute_matmul at 0x000001582EA78670> before/after graph to C:\Users\Selur\AppData\Local\Temp\tmpku34hqog, before/after are the same = True

Information: == Log pass <function fuse_permute_linear at 0x000001582EA78430> before/after graph to C:\Users\Selur\AppData\Local\Temp\tmpc3o7u8pf, before/after are the same = True

Information: Now lowering submodule _run_on_acc_0

Information: split_name=_run_on_acc_0, input_specs=[InputTensorSpec(shape=torch.Size([1, 3, 308, 720]), dtype=torch.float16, device=device(type='cuda', index=0), shape_ranges=[], has_batch_dim=True)]

Information: Timing cache is used!

x265 [error]: unable to open input file <->

Information: TRT INetwork construction elapsed time: 0:00:00.400953

Information: Build TRT engine elapsed time: 0:01:01.174254

Information: Lowering submodule _run_on_acc_0 elapsed time 0:01:04.743047

Information: Now lowering submodule _run_on_acc_2

Information: split_name=_run_on_acc_2, input_specs=[InputTensorSpec(shape=torch.Size([1, 3, 1232, 2880]), dtype=torch.float16, device=device(type='cuda', index=0), shape_ranges=[], has_batch_dim=True), InputTensorSpec(shape=torch.Size([1, 3, 1232, 2880]), dtype=torch.float16, device=device(type='cuda', index=0), shape_ranges=[], has_batch_dim=True)]

Information: Timing cache is used!

Information: TRT INetwork construction elapsed time: 0:00:00.000999

Information: Build TRT engine elapsed time: 0:00:00.222227

Information: Lowering submodule _run_on_acc_2 elapsed time 0:00:00.226829

Error: fwrite() call failed when writing frame: 0, plane: 0, errno: 22

Output 33 frames in 0.81 seconds (40.53 fps)

Encoding works fine with trt disabled.

Issue is unrelated to weighted resize, also happens without it.

Cu Selur

I'm able to encode the movie using the same script in vsViewer.exe...

I know, but that doesn't help at all.
https://github.com/HolyWu/vs-realesrgan/issues/21

Cu Selur

As soon as trt is enabled it crashes.
(Independent of the model, fp16, num_streams or the encoder used)
Probably an issue with one of the dlls in the torch_dependencies folder.

I tried to run the encoding manually, and I get the following error

[Image: Test2-Error.png]

If I remove with an Editor the 2 non-printable characters (I had to remove all the spaces) the encoding worked.

Maybe vsViewer is able to remove all the non printable characters. These characters are visible in Notepadd++ if I select the Encoding ANSI (actually the file is using a UTF-8-BOM encoding).

Dan

I removed those characters too, in Hybrid, but I still got crashes.

I'll send you a link to my current dev (~15min) which should fix the non-printable character, maybe that works for you.

Cu Selur

I had the same problem. I was not able to really remove these characters in Notepad++. The only way to not get the crash is to change the script as following

Code:
clip = core.std.Merge(clipa=clipSmoothed,clipb=clip,weight=0.4)

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