pytorch

c031643e - Adds decorators for Python References and extends Python Reference testing (#76945)

Adds decorators for Python References and extends Python Reference testing (#76945) This PR does the following... Tests: - fixes test_type_promotion in test_binary_ufuncs to correctly generate scalar cpu tensors - fixes test_python_reference_consistency to use the Python Reference's reference inputs - extends Python reference testing to test_conj_view, test_neg_view, and test_neg_conj_view - adds a NaN propagation sample input for elementwise unary and binary operations - fixes the UnaryUfuncInfo class to properly register its reference inputs - Updates the Python Reference OpInfos to skip error inputs when their behavior on scalar inputs is inconsistent with their reference operators Code organization: - moves elementwise type promotion functionality to prims.utils Prims & Refs: - fixes scalar cpu tensor handling by having them pass through broadcasting and device and shape checks - adds two decorators, `elementwise_type_promotion_wrapper` and `out_wrapper`, the former allows for elementwise type promotion to be automated and the latter automatically adds the out kwarg and handles it properly cc @ezyang who also had some thoughts on cpu scalar tensor handling cc @chillee -- might want to use this new decorator as we converge decompositions and references Pull Request resolved: https://github.com/pytorch/pytorch/pull/76945 Approved by: https://github.com/ngimel