[ONNX] Add checks in ONNXSetDynamicInputShape

[jiafatom]

(1) This PR adds a exception check for ONNXSetDynamicInputShape.
(2) Import torch vision CI tests to pytorch CI tests, then we can monitor the test failure while submitting PRs.

This PR is originally a duplicate one from here
We need to merge towards pytorch:onnx_ms_1 now.

#49366 has some merging issue, duplicate here.

[facebook-github-bot]

💊 CI failures summary and remediations

As of commit 776f888 (more details on the Dr. CI page):

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• 2/2 failures introduced in this PR

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🕵️ 1 new failure recognized by patterns

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

pytorch_linux_backward_compatibility_check_test (1/1)

Step: "Run tests" (full log | diagnosis details | 🔁 rerun)

Dec 23 20:31:52 The PR is introducing backward incompatible changes to the operator library. Please contact PyTorch team to confirm whether this change is wanted or not.

Dec 23 20:31:52 processing existing schema:  gather(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, Tensor _2, int _3) -> (__torch__.torch.classes.dist_c10d.Work _0)
Dec 23 20:31:52 processing existing schema:  scatter(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor _1, Tensor[] _2, int _3) -> (__torch__.torch.classes.dist_c10d.Work _0)
Dec 23 20:31:52 processing existing schema:  reduce_scatter(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor _1, Tensor[] _2) -> (__torch__.torch.classes.dist_c10d.Work _0)
Dec 23 20:31:52 processing existing schema:  alltoall_base(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor _1, Tensor _2, int[] _3, int[] _4) -> (__torch__.torch.classes.dist_c10d.Work _0)
Dec 23 20:31:52 processing existing schema:  alltoall(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, Tensor[] _2) -> (__torch__.torch.classes.dist_c10d.Work _0)
Dec 23 20:31:52 processing existing schema:  send(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, int _2, int _3) -> (__torch__.torch.classes.dist_c10d.Work _0)
Dec 23 20:31:52 processing existing schema:  recv(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, int _2, int _3) -> (__torch__.torch.classes.dist_c10d.Work _0)
Dec 23 20:31:52 processing existing schema:  recv_anysource(__torch__.torch.classes.dist_c10d.ProcessGroup _0, Tensor[] _1, int _2) -> (__torch__.torch.classes.dist_c10d.Work _0)
Dec 23 20:31:52 processing existing schema:  barrier(__torch__.torch.classes.dist_c10d.ProcessGroup _0) -> (__torch__.torch.classes.dist_c10d.Work _0)
Dec 23 20:31:52 processing existing schema:  __init__(__torch__.torch.classes.dist_rpc.WorkerInfo _0, str _1, int _2) -> (None _0)
Dec 23 20:31:52 The PR is introducing backward incompatible changes to the operator library. Please contact PyTorch team to confirm whether this change is wanted or not. 
Dec 23 20:31:52 
Dec 23 20:31:52 Broken ops: [
Dec 23 20:31:52 	aten::pixel_unshuffle(Tensor self, int downscale_factor) -> (Tensor)
Dec 23 20:31:52 	aten::xlogy_.Tensor(Tensor(a!) self, Tensor other) -> (Tensor(a!))
Dec 23 20:31:52 	aten::xlogy_.Scalar_Other(Tensor(a!) self, Scalar other) -> (Tensor(a!))
Dec 23 20:31:52 	aten::xlogy.Tensor(Tensor self, Tensor other) -> (Tensor)
Dec 23 20:31:52 	aten::xlogy.OutTensor(Tensor self, Tensor other, *, Tensor(a!) out) -> (Tensor(a!))
Dec 23 20:31:52 	aten::xlogy.Scalar_Self(Scalar self, Tensor other) -> (Tensor)
Dec 23 20:31:52 	aten::xlogy.OutScalar_Self(Scalar self, Tensor other, *, Tensor(a!) out) -> (Tensor(a!))
Dec 23 20:31:52 	aten::xlogy.Scalar_Other(Tensor self, Scalar other) -> (Tensor)

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1 failure not recognized by patterns:

Job	Step	Action
pytorch_linux_bionic_py3_8_gcc9_coverage_test1	Run tests	🔁 rerun
1 job timed out:

• pytorch_linux_bionic_py3_8_gcc9_coverage_test1

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This comment has been revised 12 times.