Add tests for prototype <-> legacy transforms consistency

[pmeier]

This PR adds the framework for how we can simply do consistency tests between torchvision.transforms and torchvision.prototype.transforms. One only needs to specify both transforms as well the construction arguments and we get automatic tests for:

• The prototype transform can be instantiated with the same arguments as its legacy counterpart
• The prototype transform can transform tensor, feature (features.Image) and PIL images
• The output of the prototype transform for tensor and PIL images is equal to the output of its legacy counterpart
• The output of the prototype transform for feature images is equal (minus the type) to its own output for tensor images

This approach is limited to deterministic transforms only. If the transformation includes any kind of randomness, we'll have to add consistency checks manually, e.g. #6511.

To showcase the test framework, I've added all deterministic transformations from the classification references for now. There already was a bug in Resize() that I fixed. I propose we don't add more examples in this PR, but rather merge this fast and add more examples in follow-up PRs.

[vfdev-5]

Thanks @pmeier, lgtm !

[pmeier]

CI failures are unrelated:

FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_traversable[imagenet-val-True]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_traversable[cub200-train-2011-True]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_traversable[cub200-test-2011-True]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_data_loader[imagenet-val-0]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_data_loader[imagenet-val-1]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_data_loader[cub200-train-2011-0]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_data_loader[cub200-train-2011-1]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_data_loader[cub200-test-2011-0]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_data_loader[cub200-test-2011-1]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_has_annotations[ShufflerIterDataPipe-imagenet-val]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_has_annotations[ShufflerIterDataPipe-cub200-train-2011]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_has_annotations[ShufflerIterDataPipe-cub200-test-2011]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_has_annotations[ShardingFilterIterDataPipe-imagenet-val]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_has_annotations[ShardingFilterIterDataPipe-cub200-train-2011]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_has_annotations[ShardingFilterIterDataPipe-cub200-test-2011]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_infinite_buffer_size[imagenet-val]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_infinite_buffer_size[cub200-train-2011]
FAILED test/test_prototype_builtin_datasets.py::TestCommon::test_infinite_buffer_size[cub200-test-2011]

Given that the failures are only happening for imagenet and cub200, my gut says this has something to do with #6076. cc @NicolasHug @ejguan @NivekT