pytorch

074f5ce0 - Install Torchvision in all Linux shards (#93108)

Install Torchvision in all Linux shards (#93108) Also skip `test_roi_align_dynamic_shapes` for cuda as introduced by https://github.com/pytorch/pytorch/pull/92667. With Torchvision properly installed, the test fails with the following error: ``` 2023-01-26T04:46:58.1532060Z test_roi_align_dynamic_shapes_cuda (__main__.CudaTests) ... /var/lib/jenkins/workspace/test/inductor/test_torchinductor.py:266: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage() 2023-01-26T04:46:58.1532195Z buffer = torch.as_strided(x, (x.storage().size(),), (1,), 0).clone() 2023-01-26T04:46:58.1532383Z test_roi_align_dynamic_shapes_cuda errored - num_retries_left: 3 2023-01-26T04:46:58.1532479Z Traceback (most recent call last): 2023-01-26T04:46:58.1532725Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 1155, in run_node 2023-01-26T04:46:58.1532821Z return node.target(*args, **kwargs) 2023-01-26T04:46:58.1533056Z File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_ops.py", line 499, in __call__ 2023-01-26T04:46:58.1533160Z return self._op(*args, **kwargs or {}) 2023-01-26T04:46:58.1533304Z RuntimeError: Cannot call sizes() on tensor with symbolic sizes/strides ``` https://github.com/pytorch/pytorch/issues/93054 reveals a blindspot in the CI where Torchvision was only installed in the first and second shard. The above test should show that failure as part of https://github.com/pytorch/pytorch/pull/92667, but then it was skipped because Torchvision was not installed (in the 3rd shard) for `test_roi_align` to run. The test is still skipped here, but in a more explicit way. Fixes https://github.com/pytorch/pytorch/issues/93054 Pull Request resolved: https://github.com/pytorch/pytorch/pull/93108 Approved by: https://github.com/clee2000, https://github.com/jjsjann123, https://github.com/nkaretnikov