#pragma once // @generated by torchgen/gen.py from Operator.h #include #include // Forward declarations of any types needed in the operator signatures. // We can't directly include these classes because it will cause circular include dependencies. // This file is included by TensorBody.h, which defines the Tensor class. #include namespace at { namespace _ops { struct TORCH_API fbgemm_pack_quantized_matrix { using schema = at::Tensor (const at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::fbgemm_pack_quantized_matrix") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "fbgemm_pack_quantized_matrix(Tensor input) -> Tensor") static at::Tensor call(const at::Tensor & input); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input); }; struct TORCH_API fbgemm_pack_quantized_matrix_KN { using schema = at::Tensor (const at::Tensor &, int64_t, int64_t); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::fbgemm_pack_quantized_matrix") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "KN") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "fbgemm_pack_quantized_matrix.KN(Tensor input, int K, int N) -> Tensor") static at::Tensor call(const at::Tensor & input, int64_t K, int64_t N); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, int64_t K, int64_t N); }; }} // namespace at::_ops