[Caffe2] Fix shape inference for element-wise operators (#33431)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/33431
Some elementwise operators don't have shape and type inference specified for the output tensor: `BitwiseOr`, `BitwiseAnd`, `BitwiseXor`, `Not`, `Sign`.
This change fixes this issue:
- For `Not` and `Sign` operators, the output has the same type and shape as the input, so `IdenticalTypeAndShapeOfInput` function is used to specify that.
- For bitwise operators created by `CAFFE2_SCHEMA_FOR_BINARY_BITWISE_OP` macro, the type and shape inference rules should be the same as for other binary element-wise operators, so `TensorInferenceFunction(ElementwiseOpShapeInference)` is used to specify that.
Also some tests were modified to ensure that the shape and type are inferred (`ensure_outputs_are_inferred` parameter)
Test Plan:
```
CAFFE2_ASSERT_SHAPEINFERENCE=1 buck test caffe2/caffe2/python/operator_test:elementwise_ops_test
CAFFE2_ASSERT_SHAPEINFERENCE=1 buck test caffe2/caffe2/python/operator_test:math_ops_test
```
Note that the tests have to be executed with `CAFFE2_ASSERT_SHAPEINFERENCE=1` in order to fail upon shape inference failure.
Reviewed By: idning
Differential Revision: D19880164
fbshipit-source-id: 5d7902e045d79e5669e5e98dfb13a39711294939
