Adding OpInfo for logical_or, logical_and, logical_xor (#67178)

Summary:
This PR addresses #54261.

This adds OpInfos for binary logical element wise operators. This is my first PR in OpInfos to PyTorch, looking forward to suggestions and any feedback.

cc: mruberry krshrimali

Pull Request resolved: #67178

Reviewed By: jbschlosser

Differential Revision: D32057889

Pulled By: mruberry

fbshipit-source-id: 7e670260af6b478dba9d6e8d77de4df1b6d0b5d1

torch/testing/_internal/common_methods_invocations.py

@@ -8920,6 +8920,33 @@ def ref_pairwise_distance(input1, input2):
             DecorateInfo(unittest.skip("Skipped!"), 'TestBinaryUfuncs', 'test_broadcast_python_scalar'),
         ),
     ),
+    BinaryUfuncInfo('logical_and',
+                    ref=np.logical_and,
+                    dtypes=all_types_and_complex_and(torch.bool, torch.half, torch.bfloat16),
+                    sample_inputs_func=sample_inputs_binary_pwise,
+                    supports_autograd=False,
+                    # FIXME: logical_and does not accept scalar inputs
+                    skips=(
+                        DecorateInfo(unittest.expectedFailure, 'TestBinaryUfuncs', 'test_broadcast_python_scalar'),
+                    )),
+    BinaryUfuncInfo('logical_or',
+                    ref=np.logical_or,
+                    dtypes=all_types_and_complex_and(torch.bool, torch.half, torch.bfloat16),
+                    sample_inputs_func=sample_inputs_binary_pwise,
+                    supports_autograd=False,
+                    # FIXME: logical_or does not accept scalar inputs
+                    skips=(
+                        DecorateInfo(unittest.expectedFailure, 'TestBinaryUfuncs', 'test_broadcast_python_scalar'),
+                    )),
+    BinaryUfuncInfo('logical_xor',
+                    ref=np.logical_xor,
+                    dtypes=all_types_and_complex_and(torch.bool, torch.half, torch.bfloat16),
+                    sample_inputs_func=sample_inputs_binary_pwise,
+                    supports_autograd=False,
+                    # FIXME: logical_xor does not accept scalar inputs
+                    skips=(
+                        DecorateInfo(unittest.expectedFailure, 'TestBinaryUfuncs', 'test_broadcast_python_scalar'),
+                    )),
     # `softmax` supports different dtypes based on whether `dtype` argument,
     # is passed or not. Hence two OpInfo entries, one with dtype and other without.
     OpInfo('softmax',