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Windows torchvision-0.11.1 CUDA-10.2 wheel packages are not bundled with nvjpeg dll

See original GitHub issue

🐛 Describe the bug

Steps to reproduce:

Download TorchVision 0.11.1 windows wheel from https://download.pytorch.org/whl/cu102/torchvision/
Unpack the binary
Run dumpbin /dependents image.pyd to make sure it depends on nvjpeg64_10.dll:

C:\Users\circleci\Downloads\torchvision>dumpbin /dependents image.pyd
Microsoft (R) COFF/PE Dumper Version 14.00.24245.0
Copyright (C) Microsoft Corporation.  All rights reserved.


Dump of file image.pyd

File Type: DLL

  Image has the following dependencies:

    api-ms-win-crt-heap-l1-1-0.dll
    api-ms-win-crt-runtime-l1-1-0.dll
    api-ms-win-crt-filesystem-l1-1-0.dll
    api-ms-win-crt-stdio-l1-1-0.dll
    libpng16.dll
    nvjpeg64_10.dll
    c10.dll
    torch_cpu.dll
    cudart64_102.dll
    c10_cuda.dll
    MSVCP140.dll
    KERNEL32.dll
    VCRUNTIME140_1.dll
    VCRUNTIME140.dll
    api-ms-win-crt-string-l1-1-0.dll
    api-ms-win-crt-environment-l1-1-0.dll

  Summary

        2000 .data
        3000 .pdata
       2E000 .rdata
        1000 .reloc
        1000 .rsrc
       3C000 .text

Noticesthat nvjpeg64_10.dll is missing from the archive

This causes torchvision.io.read_image fail on Windows

Versions

0.11.1 win+cu102

cc @peterjc123 @nbcsm @guyang3532 @maxluk @gunandrose4u @mszhanyi

Issue Analytics

State:
Created 2 years ago
Comments:6 (1 by maintainers)

Top GitHub Comments

1reaction

puyebucommented, Dec 18, 2021

I had the same problem and this is the only page I found,

Python/Pytorch does not search the path Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.2\bin for some reason, despite the path being specified in the environment, therefore causing dll error. I couldn’t find a proper solution and instead made hardlinks to the missing dlls in the Python\Lib\site-packages\torch\lib folder using mklink /H cmd command.

I am sure there must be a better way but I couldn’t figure it out.

1reaction

malfetcommented, Dec 15, 2021

nvjpeg64_10.dll can be downloaded from https://developer.nvidia.com/cuda-10.2-download-archive

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