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@abhi-glitchhg abhi-glitchhg commented Jan 24, 2022

5275 contains commits from this pr hence closed.
cc @oke-aditya

#5228

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facebook-github-bot commented Jan 24, 2022

💊 CI failures summary and remediations

As of commit 20c810d (more details on the Dr. CI page):



🕵️ 6 new failures recognized by patterns

The following CI failures do not appear to be due to upstream breakages:

See CircleCI build unittest_macos_cpu_py3.8 (1/6)

Step: "Run tests" (full log | diagnosis details | 🔁 rerun)

Unhandled task run error: machine executor: runner failed: ssh connection failed

Unhandled task run error: machine executor: runner failed: ssh connection failed

See CircleCI build unittest_macos_cpu_py3.7 (2/6)

Step: "Run tests" (full log | diagnosis details | 🔁 rerun)

/Users/distiller/project/torchvision/io/video.p...log: [mov,mp4,m4a,3gp,3g2,mj2] moov atom not found
test/test_datasets_video_utils.py::TestVideo::test_video_clips_custom_fps
  /Users/distiller/project/torchvision/datasets/video_utils.py:218: UserWarning: There aren't enough frames in the current video to get a clip for the given clip length and frames between clips. The video (and potentially others) will be skipped.
    "There aren't enough frames in the current video to get a clip for the given clip length and "

test/test_image.py::test_decode_png[L-ImageReadMode.GRAY-palette_pytorch.png]
test/test_image.py::test_decode_png[RGB-ImageReadMode.RGB-palette_pytorch.png]
  /Users/distiller/project/env/lib/python3.7/site-packages/PIL/Image.py:946: UserWarning: Palette images with Transparency expressed in bytes should be converted to RGBA images
    "Palette images with Transparency expressed in bytes should be "

test/test_io.py::TestVideo::test_read_video_timestamps_corrupted_file
  /Users/distiller/project/torchvision/io/video.py:406: RuntimeWarning: Failed to open container for /var/folders/6y/gy9gggt14379c_k39vwb50lc0000gn/T/tmp2i31e14q.mp4; Caught error: [Errno 1094995529] Invalid data found when processing input: '/var/folders/6y/gy9gggt14379c_k39vwb50lc0000gn/T/tmp2i31e14q.mp4'; last error log: [mov,mp4,m4a,3gp,3g2,mj2] moov atom not found
    warnings.warn(msg, RuntimeWarning)

test/test_models.py::test_memory_efficient_densenet[densenet121]
test/test_models.py::test_memory_efficient_densenet[densenet169]
test/test_models.py::test_memory_efficient_densenet[densenet201]
test/test_models.py::test_memory_efficient_densenet[densenet161]
  /Users/distiller/project/env/lib/python3.7/site-packages/torch/autocast_mode.py:162: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
    warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling')

test/test_models.py::test_inception_v3_eval

See CircleCI build unittest_windows_cpu_py3.9 (3/6)

Step: "Run tests" (full log | diagnosis details | 🔁 rerun)

c:\users\circleci\project\torchvision\io\video....\\circleci\\AppData\\Local\\Temp\\tmpt1yae5pi.mp4'
test/test_transforms.py: 2 warnings
  C:\Users\circleci\project\env\lib\site-packages\PIL\Image.py:1651: DeprecationWarning: an integer is required (got type float).  Implicit conversion to integers using __int__ is deprecated, and may be removed in a future version of Python.
    return self._new(self.im.point(lut, mode))

test/test_image.py::test_decode_png[L-ImageReadMode.GRAY-palette_pytorch.png]
test/test_image.py::test_decode_png[RGB-ImageReadMode.RGB-palette_pytorch.png]
  C:\Users\circleci\project\env\lib\site-packages\PIL\Image.py:945: UserWarning: Palette images with Transparency expressed in bytes should be converted to RGBA images
    warnings.warn(

test/test_io.py::TestVideo::test_read_video_timestamps_corrupted_file
  c:\users\circleci\project\torchvision\io\video.py:406: RuntimeWarning: Failed to open container for C:\Users\circleci\AppData\Local\Temp\tmpt1yae5pi.mp4; Caught error: [Errno 13] Permission denied: 'C:\\Users\\circleci\\AppData\\Local\\Temp\\tmpt1yae5pi.mp4'
    warnings.warn(msg, RuntimeWarning)

test/test_models.py::test_memory_efficient_densenet[densenet121]
test/test_models.py::test_memory_efficient_densenet[densenet169]
test/test_models.py::test_memory_efficient_densenet[densenet201]
test/test_models.py::test_memory_efficient_densenet[densenet161]
  C:\Users\circleci\project\env\lib\site-packages\torch\autocast_mode.py:162: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
    warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling')

test/test_models.py::test_inception_v3_eval

See CircleCI build unittest_linux_cpu_py3.9 (4/6)

Step: "Run tests" (full log | diagnosis details | 🔁 rerun)

/root/project/torchvision/io/video.py:406: Runt...log: [mov,mp4,m4a,3gp,3g2,mj2] moov atom not found
test/test_transforms.py: 2 warnings
  /root/project/env/lib/python3.9/site-packages/PIL/Image.py:1651: DeprecationWarning: an integer is required (got type float).  Implicit conversion to integers using __int__ is deprecated, and may be removed in a future version of Python.
    return self._new(self.im.point(lut, mode))

test/test_image.py::test_decode_png[L-ImageReadMode.GRAY-palette_pytorch.png]
test/test_image.py::test_decode_png[RGB-ImageReadMode.RGB-palette_pytorch.png]
  /root/project/env/lib/python3.9/site-packages/PIL/Image.py:945: UserWarning: Palette images with Transparency expressed in bytes should be converted to RGBA images
    warnings.warn(

test/test_io.py::TestVideo::test_read_video_timestamps_corrupted_file
  /root/project/torchvision/io/video.py:406: RuntimeWarning: Failed to open container for /tmp/tmpfhp20xxo.mp4; Caught error: [Errno 1094995529] Invalid data found when processing input: '/tmp/tmpfhp20xxo.mp4'; last error log: [mov,mp4,m4a,3gp,3g2,mj2] moov atom not found
    warnings.warn(msg, RuntimeWarning)

test/test_models.py::test_memory_efficient_densenet[densenet121]
test/test_models.py::test_memory_efficient_densenet[densenet169]
test/test_models.py::test_memory_efficient_densenet[densenet201]
test/test_models.py::test_memory_efficient_densenet[densenet161]
  /root/project/env/lib/python3.9/site-packages/torch/autocast_mode.py:162: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
    warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling')

test/test_models.py::test_inception_v3_eval

See CircleCI build unittest_windows_cpu_py3.7 (5/6)

Step: "Run tests" (full log | diagnosis details | 🔁 rerun)

c:\users\circleci\project\torchvision\io\video....\\circleci\\AppData\\Local\\Temp\\tmp3dt254f6.mp4'
test/test_datasets_video_utils.py::TestVideo::test_video_clips_custom_fps
  c:\users\circleci\project\torchvision\datasets\video_utils.py:218: UserWarning: There aren't enough frames in the current video to get a clip for the given clip length and frames between clips. The video (and potentially others) will be skipped.
    "There aren't enough frames in the current video to get a clip for the given clip length and "

test/test_image.py::test_decode_png[L-ImageReadMode.GRAY-palette_pytorch.png]
test/test_image.py::test_decode_png[RGB-ImageReadMode.RGB-palette_pytorch.png]
  C:\Users\circleci\project\env\lib\site-packages\PIL\Image.py:946: UserWarning: Palette images with Transparency expressed in bytes should be converted to RGBA images
    "Palette images with Transparency expressed in bytes should be "

test/test_io.py::TestVideo::test_read_video_timestamps_corrupted_file
  c:\users\circleci\project\torchvision\io\video.py:406: RuntimeWarning: Failed to open container for C:\Users\circleci\AppData\Local\Temp\tmp3dt254f6.mp4; Caught error: [Errno 13] Permission denied: 'C:\\Users\\circleci\\AppData\\Local\\Temp\\tmp3dt254f6.mp4'
    warnings.warn(msg, RuntimeWarning)

test/test_models.py::test_memory_efficient_densenet[densenet121]
test/test_models.py::test_memory_efficient_densenet[densenet169]
test/test_models.py::test_memory_efficient_densenet[densenet201]
test/test_models.py::test_memory_efficient_densenet[densenet161]
  C:\Users\circleci\project\env\lib\site-packages\torch\autocast_mode.py:162: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
    warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling')

test/test_models.py::test_inception_v3_eval

See CircleCI build unittest_windows_cpu_py3.8 (6/6)

Step: "Run tests" (full log | diagnosis details | 🔁 rerun)

c:\users\circleci\project\torchvision\io\video....\\circleci\\AppData\\Local\\Temp\\tmp2u9d6yv4.mp4'
test/test_transforms.py: 2 warnings
  C:\Users\circleci\project\env\lib\site-packages\PIL\Image.py:1651: DeprecationWarning: an integer is required (got type float).  Implicit conversion to integers using __int__ is deprecated, and may be removed in a future version of Python.
    return self._new(self.im.point(lut, mode))

test/test_image.py::test_decode_png[L-ImageReadMode.GRAY-palette_pytorch.png]
test/test_image.py::test_decode_png[RGB-ImageReadMode.RGB-palette_pytorch.png]
  C:\Users\circleci\project\env\lib\site-packages\PIL\Image.py:945: UserWarning: Palette images with Transparency expressed in bytes should be converted to RGBA images
    warnings.warn(

test/test_io.py::TestVideo::test_read_video_timestamps_corrupted_file
  c:\users\circleci\project\torchvision\io\video.py:406: RuntimeWarning: Failed to open container for C:\Users\circleci\AppData\Local\Temp\tmp2u9d6yv4.mp4; Caught error: [Errno 13] Permission denied: 'C:\\Users\\circleci\\AppData\\Local\\Temp\\tmp2u9d6yv4.mp4'
    warnings.warn(msg, RuntimeWarning)

test/test_models.py::test_memory_efficient_densenet[densenet121]
test/test_models.py::test_memory_efficient_densenet[densenet169]
test/test_models.py::test_memory_efficient_densenet[densenet201]
test/test_models.py::test_memory_efficient_densenet[densenet161]
  C:\Users\circleci\project\env\lib\site-packages\torch\autocast_mode.py:162: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
    warnings.warn('User provided device_type of \'cuda\', but CUDA is not available. Disabling')

test/test_models.py::test_inception_v3_eval

🚧 1 ongoing upstream failure:

These were probably caused by upstream breakages that are not fixed yet.

🚧 1 fixed upstream failure:

These were probably caused by upstream breakages that were already fixed.

Please rebase on the viable/strict branch (expand for instructions)

If your commit is older than viable/strict, run these commands:

git fetch https://github.com/pytorch/pytorch viable/strict
git rebase FETCH_HEAD

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@abhi-glitchhg abhi-glitchhg marked this pull request as draft January 24, 2022 05:35
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@oke-aditya oke-aditya left a comment

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Few thoughts.

@abhi-glitchhg abhi-glitchhg changed the title replace assert with valueerror Replace Assert statement with ValueError message. Jan 24, 2022
@abhi-glitchhg
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#5275 contains commits from this PR; hence closed

@abhi-glitchhg abhi-glitchhg deleted the backbon_edit branch February 4, 2022 05:34
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