add random apply transform base class

[pmeier]

Addresses #5418 (comment)

[facebook-github-bot]

💊 CI failures summary and remediations

As of commit 8061894 (more details on the Dr. CI page):

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• 13/13 failures introduced in this PR

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🕵️ 2 new failures recognized by patterns

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

unittest_linux_cpu_py3.8 (1/2)

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/python3.8/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_probe_video_from_memory
  /root/project/torchvision/io/_video_opt.py:419: 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_1647587384356/work/torch/csrc/utils/tensor_new.cpp:954.)
    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/tmp0tjzwn75.mp4; Caught error: [Errno 1094995529] Invalid data found when processing input: '/tmp/tmp0tjzwn75.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/python3.8/site-packages/torch/nn/modules/module.py:1383: UserWarning: positional arguments and argument "destination" are deprecated. nn.Module.state_dict will not accept them in the future. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.
    warnings.warn(

test/test_models.py::test_memory_efficient_densenet[densenet121]

unittest_linux_cpu_py3.10 (2/2)

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/python3.10/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_probe_video_from_memory
  /root/project/torchvision/io/_video_opt.py:419: 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_1647587407281/work/torch/csrc/utils/tensor_new.cpp:954.)
    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/tmpeugj0ii9.mp4; Caught error: [Errno 1094995529] Invalid data found when processing input: '/tmp/tmpeugj0ii9.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/python3.10/site-packages/torch/nn/modules/module.py:1383: UserWarning: positional arguments and argument "destination" are deprecated. nn.Module.state_dict will not accept them in the future. Refer to https://pytorch.org/docs/master/generated/torch.nn.Module.html#torch.nn.Module.state_dict for details.
    warnings.warn(

test/test_models.py::test_memory_efficient_densenet[densenet121]

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11 failures not recognized by patterns:

Job	Step	Action
binary_linux_conda_py3.7_cu113	packaging/build_conda.sh	🔁 rerun
binary_linux_conda_py3.7_cu102	packaging/build_conda.sh	🔁 rerun
binary_linux_conda_py3.10_cu113	packaging/build_conda.sh	🔁 rerun
unittest_linux_cpu_py3.9	Run tests	🔁 rerun
binary_linux_conda_py3.8_cu113	packaging/build_conda.sh	🔁 rerun
unittest_linux_gpu_py3.8	Install torchvision	🔁 rerun
binary_linux_conda_py3.8_cu102	packaging/build_conda.sh	🔁 rerun
cmake_linux_gpu	Build torchvision C++ distribution and test	🔁 rerun
binary_linux_conda_py3.9_cu102	packaging/build_conda.sh	🔁 rerun
binary_linux_conda_py3.10_cu102	packaging/build_conda.sh	🔁 rerun
binary_linux_conda_py3.9_cu113	packaging/build_conda.sh	🔁 rerun

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[datumbox]

LGTM, thanks!