[DO NOT MERGE]test API usage decorator

[kazhang]

No description provided.

[facebook-github-bot]

💊 CI failures summary and remediations

As of commit 146a297 (more details on the Dr. CI page):

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• 8/8 failures introduced in this PR

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🕵️ 4 new failures recognized by patterns

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

unittest_linux_cpu_py3.7 (1/4)

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_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/python3.7/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_probe_video_from_memory
  /root/project/torchvision/io/_video_opt.py:423: UserWarning: The given buffer is not writable, and PyTorch does not support non-writable tensors. This means you can write to the underlying (supposedly non-writable) buffer using the tensor. You may want to copy the buffer to protect its data or make it writable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at  /opt/conda/conda-bld/pytorch_1644998903917/work/torch/csrc/utils/tensor_new.cpp:1007.)
    video_data = torch.frombuffer(video_data, dtype=torch.uint8)

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/tmpo2773005.mp4; Caught error: [Errno 1094995529] Invalid data found when processing input: '/tmp/tmpo2773005.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/python3.7/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

unittest_linux_cpu_py3.9 (2/4)

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_datasets_video_utils.py::TestVideo::test_video_clips_custom_fps
  /root/project/torchvision/datasets/video_utils.py:217: 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.
    warnings.warn(

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/tmp76vj6q4k.mp4; Caught error: [Errno 1094995529] Invalid data found when processing input: '/tmp/tmp76vj6q4k.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

cmake_windows_cpu (3/4)

Step: "set -ex
source packaging/windows/internal/vc_install_helper.sh
packaging/build_cmake.sh
" (full log | diagnosis details | 🔁 rerun)

warnings.warn(f'Error checking compiler version for {compiler}: {error}')

Installing chardetect.exe script to C:\tools\miniconda3\Scripts

Using c:\tools\miniconda3\lib\site-packages
Searching for idna==2.8
Best match: idna 2.8
Adding idna 2.8 to easy-install.pth file

Using c:\tools\miniconda3\lib\site-packages
Finished processing dependencies for torchvision==0.13.0.dev20220216
C:\tools\miniconda3\lib\site-packages\torch\utils\cpp_extension.py:322: UserWarning: Error checking compiler version for cl: [WinError 2] The system cannot find the file specified
  warnings.warn(f'Error checking compiler version for {compiler}: {error}')
+ pushd test/tracing/frcnn
~/project/test/tracing/frcnn ~/project
+ mkdir build
+ python trace_model.py
Downloading: "https://download.pytorch.org/models/resnet50-0676ba61.pth" to C:\Users\circleci/.cache\torch\hub\checkpoints\resnet50-0676ba61.pth

  0%|          | 0.00/97.8M [00:00<?, ?B/s]
  1%|          | 656k/97.8M [00:00<00:15, 6.37MB/s]
  9%|9         | 9.29M/97.8M [00:00<00:01, 53.2MB/s]
 31%|###       | 30.0M/97.8M [00:00<00:00, 121MB/s] 
 52%|#####1    | 50.4M/97.8M [00:00<00:00, 152MB/s]
 72%|#######1  | 70.3M/97.8M [00:00<00:00, 165MB/s]
 88%|########7 | 85.9M/97.8M [00:00<00:00, 146MB/s]
100%|##########| 97.8M/97.8M [00:00<00:00, 141MB/s]
Traceback (most recent call last):
  File "C:\tools\miniconda3\lib\site-packages\torch\jit\_recursive.py", line 152, in infer_type
    ann_to_type = torch.jit.annotations.ann_to_type(class_annotations[name], fake_range())
  File "C:\tools\miniconda3\lib\site-packages\torch\jit\annotations.py", line 402, in ann_to_type

unittest_linux_gpu_py3.8 (4/4)

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

test/test_utils.py::test_flow_to_image_errors[i...type torch.float] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_utils.py::test_draw_keypoints_colored[red] �[33mSKIPPED�[0m (We're ...)�[31m [ 99%]�[0m

test/test_utils.py::test_draw_keypoints_colored[#FF00FF] �[33mSKIPPED�[0m (We...)�[31m [ 99%]�[0m

test/test_utils.py::test_draw_keypoints_colored[colors2] �[33mSKIPPED�[0m (We...)�[31m [ 99%]�[0m

test/test_utils.py::test_draw_keypoints_errors �[33mSKIPPED�[0m (We're in a C...)�[31m [ 99%]�[0m

test/test_utils.py::test_flow_to_image[True] �[33mSKIPPED�[0m (We're in a Cir...)�[31m [ 99%]�[0m

test/test_utils.py::test_flow_to_image[False] �[33mSKIPPED�[0m (We're in a Ci...)�[31m [ 99%]�[0m

test/test_utils.py::test_flow_to_image_errors[input_flow0-Input flow should have shape] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_utils.py::test_flow_to_image_errors[input_flow1-Input flow should have shape] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_utils.py::test_flow_to_image_errors[input_flow2-Input flow should have shape] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_utils.py::test_flow_to_image_errors[input_flow3-Input flow should have shape] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_utils.py::test_flow_to_image_errors[input_flow4-Flow should be of dtype torch.float] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_video_gpu_decoder.py::TestVideoGPUDecoder::test_frame_reading[RATRACE_wave_f_nm_np1_fr_goo_37.avi] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_video_gpu_decoder.py::TestVideoGPUDecoder::test_frame_reading[TrumanShow_wave_f_nm_np1_fr_med_26.avi] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_video_gpu_decoder.py::TestVideoGPUDecoder::test_frame_reading[v_SoccerJuggling_g23_c01.avi] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_video_gpu_decoder.py::TestVideoGPUDecoder::test_frame_reading[v_SoccerJuggling_g24_c01.avi] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_video_gpu_decoder.py::TestVideoGPUDecoder::test_frame_reading[R6llTwEh07w.mp4] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_video_gpu_decoder.py::TestVideoGPUDecoder::test_frame_reading[SOX5yA1l24A.mp4] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_video_gpu_decoder.py::TestVideoGPUDecoder::test_frame_reading[WUzgd7C1pWA.mp4] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_video_gpu_decoder.py::TestVideoGPUDecoder::test_seek_reading[/home/circleci/project/test/assets/videos/v_SoccerJuggling_g23_c01.avi-8.0-True] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_video_gpu_decoder.py::TestVideoGPUDecoder::test_seek_reading[/home/circleci/project/test/assets/videos/v_SoccerJuggling_g23_c01.avi-8.0-False] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

test/test_video_gpu_decoder.py::TestVideoGPUDecoder::test_seek_reading[/home/circleci/project/test/assets/videos/v_SoccerJuggling_g24_c01.avi-8.0-True] �[33mSKIPPED�[0m�[31m [ 99%]�[0m

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4 failures not recognized by patterns:

Job	Step	Action
cmake_linux_gpu	Build torchvision C++ distribution and test	🔁 rerun
cmake_linux_cpu	packaging/build_cmake.sh	🔁 rerun
unittest_linux_cpu_py3.8	Run tests	🔁 rerun
cmake_macos_cpu	curl -o conda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh
sh conda.sh -b
source $HOME/miniconda3/bin/activate
conda install -yq conda-build cmake
packaging/build_cmake.sh
	🔁 rerun

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[datumbox]

Thanks for reopening the PR to investigate @kazhang. I got input from the JIT team and advised against using the approach. Given that this PR proves the approach has issues, I think we will avoid it.