pytorch/test/expect/TestScript.test_annot_string_py3_fn.expect

foo(Tensor x, (Tensor, Tensor) y) -> ((Tensor, Tensor))
foo(Tensor x, (Tensor, Tensor) y) -> ((Tensor, Tensor))
foo(str x, (Tensor, Tensor) y) -> ((str, str))
foo(int x, (Tensor, Tensor) y) -> ((int, int))
foo(bool x, (Tensor, Tensor) y) -> ((bool, bool))
foo(float[3] x, (Tensor, Tensor) y) -> ((float[], float[]))
foo(int[2] x, (Tensor, Tensor) y) -> ((int[], int[]))
foo(int[] x, (Tensor, Tensor) y) -> ((int[], int[]))
foo(int? x, (Tensor, Tensor) y) -> ((int?, int?))
Support variadic returns in Schema's operator<< (#23204) Summary: old: prim::PythonOp(...) -> new: prim::PythonOp(...) -> ... Pull Request resolved: https://github.com/pytorch/pytorch/pull/23204 ghstack-source-id: 87208343 Reviewed By: zrphercule Differential Revision: D16433592 fbshipit-source-id: 36cbb329188f112e09c3b1708a8090781b830dfe 2019-07-26 17:53:11 +00:00			`foo(Tensor x, (Tensor, Tensor) y) -> ((Tensor, Tensor))`
			`foo(Tensor x, (Tensor, Tensor) y) -> ((Tensor, Tensor))`
			`foo(str x, (Tensor, Tensor) y) -> ((str, str))`
			`foo(int x, (Tensor, Tensor) y) -> ((int, int))`
			`foo(bool x, (Tensor, Tensor) y) -> ((bool, bool))`
			`foo(float[3] x, (Tensor, Tensor) y) -> ((float[], float[]))`
			`foo(int[2] x, (Tensor, Tensor) y) -> ((int[], int[]))`
			`foo(int[] x, (Tensor, Tensor) y) -> ((int[], int[]))`
			`foo(int? x, (Tensor, Tensor) y) -> ((int?, int?))`