#define TORCH_ASSERT_ONLY_METHOD_OPERATORS #include #include namespace at::native { struct NegFallback : MathOpFallback { NegFallback() : MathOpFallback(DispatchKey::Negative, "negation") {} bool is_bit_set(const Tensor& tensor) override { return tensor.is_neg(); } }; static void negationFallback(const c10::OperatorHandle& op, DispatchKeySet dispatch_keys, torch::jit::Stack* stack) { NegFallback object; object.fallback_impl(op, dispatch_keys, stack); } TORCH_LIBRARY_IMPL(_, Negative, m) { m.fallback(torch::CppFunction::makeFromBoxedFunction<&negationFallback>()); } TORCH_LIBRARY_IMPL(aten, Negative, m) { m.impl("set_.source_Storage_storage_offset", torch::CppFunction::makeFallthrough()); m.impl("set_.source_Tensor", torch::CppFunction::makeFallthrough()); m.impl("set_", torch::CppFunction::makeFallthrough()); m.impl("copy_", torch::CppFunction::makeFallthrough()); m.impl("clone", torch::CppFunction::makeFallthrough()); m.impl("neg_", torch::CppFunction::makeFallthrough()); m.impl("resolve_neg", torch::CppFunction::makeFallthrough()); m.impl("resolve_conj", torch::CppFunction::makeFallthrough()); m.impl("repeat_interleave.Tensor", torch::CppFunction::makeFallthrough()); m.impl("repeat_interleave.self_Tensor", torch::CppFunction::makeFallthrough()); m.impl("repeat_interleave.self_int", torch::CppFunction::makeFallthrough()); // See test_metadata_check_when_primal_has_neg_bit in test_autograd.py m.impl("_has_same_storage_numel", torch::CppFunction::makeFallthrough()); m.impl("_new_zeros_with_same_feature_meta", torch::CppFunction::makeFallthrough()); // linear algebra functions m.impl("linalg_solve_triangular", torch::CppFunction::makeFallthrough()); m.impl("linalg_solve_triangular.out", torch::CppFunction::makeFallthrough()); m.impl("linalg_svd", torch::CppFunction::makeFallthrough()); m.impl("linalg_svd.U", torch::CppFunction::makeFallthrough()); TORCH_VIEW_FNS(m) TENSOR_UTILITIES_AND_CONSTRUCTORS(m) TORCH_VIEW_FNS_NATIVE_FN_REGISTRATION(m) } } // namespace at::native