Add option to initialize optical flow in RAFT
Hi, this pull request adds support to initialize the optical flow to be refined by the RAFT decoder. The current implementation only supports starting from zero optical flow. However, the original RAFT paper also proposes initializing the optical flow, e.g., with the flow prediction of previous frames. This can lead to a faster inference time since fewer iterative refinements are typically needed. This pull request adapts from the original RAFT implementation.
:link: Helpful Links
:test_tube: See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/vision/8521
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:x: 18 New Failures
As of commit ac5eae64dd248f13cc9de3a22cbcfe4688d79fa8 with merge base 8f9d810a26f1e3be97e8ec48a214967accdb9016 ():
NEW FAILURES - The following jobs have failed:
- Build Linux Conda / pytorch/vision / upload / conda-py3_8-cpu (gh)
Unable to find any artifacts for the associated workflow - Build Linux Conda / pytorch/vision / upload / conda-py3_8-cuda11_8 (gh)
Unable to find any artifacts for the associated workflow - Build Linux Conda / pytorch/vision / upload / conda-py3_8-cuda12_1 (gh)
Unable to find any artifacts for the associated workflow - Build Linux Conda / pytorch/vision / upload / conda-py3_8-cuda12_4 (gh)
Unable to find any artifacts for the associated workflow - Build Windows Conda / pytorch/vision / upload / conda-py3_8-cpu (gh)
Unable to find any artifacts for the associated workflow - Build Windows Conda / pytorch/vision / upload / conda-py3_8-cuda11_8 (gh)
Unable to find any artifacts for the associated workflow - Build Windows Conda / pytorch/vision / upload / conda-py3_8-cuda12_1 (gh)
Unable to find any artifacts for the associated workflow - Build Windows Conda / pytorch/vision / upload / conda-py3_8-cuda12_4 (gh)
Unable to find any artifacts for the associated workflow - Lint / python-source-and-configs / linux-job (gh)
RuntimeError: Command docker exec -t c4c1031b555e465881832a6ede8ef9fa0a809bb8993a0aa8ac3be6bdceef7036 /exec failed with exit code 1 - Lint / python-types / linux-job (gh)
RuntimeError: Command docker exec -t 35ef998122bb36af37fdf9cda2a6d7991fe60d4e4b0100305b2b9b014076dc80 /exec failed with exit code 1 - Tests / unittests-linux (3.10, linux.12xlarge, cpu) / linux-job (gh)
test/test_io.py::TestVideo::test_write_video_with_audio[cuda] - Tests / unittests-linux (3.12, linux.12xlarge, cpu) / linux-job (gh)
test/test_io.py::TestVideo::test_write_video_with_audio[cuda] - Tests / unittests-linux (3.8, linux.12xlarge, cpu) / linux-job (gh)
test/test_io.py::TestVideo::test_write_video_with_audio[cuda] - Tests / unittests-linux (3.9, linux.12xlarge, cpu) / linux-job (gh)
test/test_io.py::TestVideo::test_write_video_with_audio[cuda] - Tests / unittests-macos (3.10, macos-m1-stable) / macos-job (gh)
test/test_io.py::TestVideo::test_write_video_with_audio[cuda] - Tests / unittests-macos (3.12, macos-m1-stable) / macos-job (gh)
test/test_io.py::TestVideo::test_write_video_with_audio[cuda] - Tests / unittests-macos (3.8, macos-m1-stable) / macos-job (gh)
test/test_io.py::TestVideo::test_write_video_with_audio[cuda] - Tests / unittests-macos (3.9, macos-m1-stable) / macos-job (gh)
test/test_ops.py::TestRoIAlign::test_autocast_cpu[rois_dtype1-x_dtype1-False-True]
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