Fix Resize() documentation

[dvidgar]

The current documentation implies that the computation of Resize() is performed twice in some cases related to the max_size parameter. This is not the case in the code.
This PR fixes the issue.

cc @vfdev-5

[pytorch-bot]

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• pytorch/vision / manywheel-py3_8-cpu (gh)
• pytorch/vision / manywheel-py3_8-rocm5_4_2 (gh)
• unittests (3.10, macos-12) / macos-job (gh)
• unittests (3.10, windows.4xlarge, cpu) / windows-job (gh)
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• unittests (3.8, linux.12xlarge, cpu) / linux-job (gh)
• unittests (3.8, linux.g5.4xlarge.nvidia.gpu, cuda, 11.7) / linux-job (gh)
• unittests (3.8, macos-12) / macos-job (gh)
• unittests (3.8, macos-m1-12) / macos-job (gh)
• unittests (3.8, windows.4xlarge, cpu) / windows-job (gh)
• unittests (3.8, windows.g5.4xlarge.nvidia.gpu, cuda, 11.7) / windows-job (gh)
• unittests (3.9, linux.12xlarge, cpu) / linux-job (gh)
• unittests (3.9, macos-12) / macos-job (gh)
• unittests (3.9, windows.4xlarge, cpu) / windows-job (gh)
• unittests-extended / linux-job (gh)
• unittests-prototype (3.10, linux.12xlarge, cpu) / linux-job (gh)
• unittests-prototype (3.11, linux.12xlarge, cpu) / linux-job (gh)
• unittests-prototype (3.8, linux.12xlarge, cpu) / linux-job (gh)
• unittests-prototype (3.8, linux.g5.4xlarge.nvidia.gpu, cuda, 11.7) / linux-job (gh)
• unittests-prototype (3.9, linux.12xlarge, cpu) / linux-job (gh)

BROKEN TRUNK - The following jobs failed but were present on the merge base e946e87:

👉 Rebase onto the `viable/strict` branch to avoid these failures

• pytorch/vision / manywheel-py3_8-cuda11_7 (gh)
• pytorch/vision / manywheel-py3_8-cuda12_1 (gh)
• pytorch/vision / wheel-py3_8-cuda11_7 (gh)

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[NicolasHug]

Thanks for the PR @dvidgar , I agree the proposed changes are clearer. I made a minor suggestion below. Could you also update the docstring of the v2 transform here?

vision/torchvision/transforms/v2/_geometry.py

Line 101 in 0d75d9e

than ``max_size`` after being resized according to ``size``, then

Thanks!

[dvidgar]

Updated, thanks!

[NicolasHug]

CI is toasted but docs look good, so I'll merge. Thanks for the PR @dvidgar !