#if !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION) #pragma once // @generated by torchgen/gen.py from Operator.h #include #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 _cslt_sparse_mm { using schema = at::Tensor (const at::Tensor &, const at::Tensor &, const ::std::optional &, const ::std::optional &, ::std::optional, bool, int64_t, int64_t, int64_t); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::_cslt_sparse_mm"; static constexpr const char* overload_name = ""; static constexpr const char* schema_str = "_cslt_sparse_mm(Tensor compressed_A, Tensor dense_B, Tensor? bias=None, Tensor? alpha=None, ScalarType? out_dtype=None, bool transpose_result=False, int alg_id=0, int split_k=1, int split_k_mode=-1) -> Tensor"; static at::Tensor call(const at::Tensor & compressed_A, const at::Tensor & dense_B, const ::std::optional & bias, const ::std::optional & alpha, ::std::optional out_dtype, bool transpose_result, int64_t alg_id, int64_t split_k, int64_t split_k_mode); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & compressed_A, const at::Tensor & dense_B, const ::std::optional & bias, const ::std::optional & alpha, ::std::optional out_dtype, bool transpose_result, int64_t alg_id, int64_t split_k, int64_t split_k_mode); }; }} // namespace at::_ops #else #error "This file should not be included when either TORCH_STABLE_ONLY or TORCH_TARGET_VERSION is defined." #endif // !defined(TORCH_STABLE_ONLY) && !defined(TORCH_TARGET_VERSION)