OpInfo for Slice

[Krovatkin]

This is based on @wconstab tests from #84680

[pytorch-bot]

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❌ 5 Failures, 2 Pending

As of commit b7e8dc1:

The following jobs have failed:

• linux-bionic-py3.7-clang9 / test (crossref, 1, 2, linux.2xlarge)
• linux-bionic-py3.7-clang9 / test (default, 2, 2, linux.2xlarge)
• linux-focal-py3.7-clang7-asan / test (default, 5, 5, linux.2xlarge)
• linux-focal-py3.7-gcc7 / test (default, 1, 2, linux.2xlarge)
• win-vs2019-cpu-py3 / test (default, 2, 2, windows.4xlarge)

This comment was automatically generated by Dr. CI and updates every 15 minutes.

[mruberry]

Nice!

[mruberry]

Test failures are real, though, because torch.slice doesn't exist.

You can run many of the tests locally with python test/test_ops.py -v -k slice to see what they're doing.

I think this OpInfo needs to define its op metadata. This is sometimes done to wrap an operation and set a seed so it can be used for reproducible testing, like with torch.uniform:

pytorch/torch/testing/_internal/common_methods_invocations.py

Line 8164 in 90fa744

op=lambda inp, *args, **kwargs: wrapper_set_seed(torch.Tensor.uniform_, inp, *args, **kwargs),

It's also done when there's a torch method but not a torch function for an operation, like with contiguous:

pytorch/torch/testing/_internal/common_methods_invocations.py

Line 8814 in 90fa744

op=lambda x, *args, **kwargs: x.contiguous(*args, **kwargs),

And for more exotic cases, like creating a jiterated op:

pytorch/torch/testing/_internal/common_methods_invocations.py

Line 15051 in 90fa744

op=torch.cuda.jiterator._create_jit_fn("template <typename T> T unary(T x) { return x * x + x; }"),

[ezyang]

I'm commandeering this PR so I can turn it into a stack

[ezyang]

commandeered at #85554