/*
 * Copyright (c) 2025 by FlashInfer team.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
#include "pytorch_extension_utils.h"

void CutlassGemmGroupwiseScaledSM100(at::Tensor float_workspace_buffer, at::Tensor A, at::Tensor B,
                                     at::Tensor SFA, at::Tensor SFB, at::Tensor C,
                                     int64_t scale_granularity_m, int64_t scale_granularity_n,
                                     int64_t scale_granularity_k, std::string scale_major_mode,
                                     int64_t mma_sm);

TORCH_LIBRARY_FRAGMENT(TORCH_EXTENSION_NAME, m) {
  m.def("gemm_fp8_nt_groupwise", CutlassGemmGroupwiseScaledSM100);
}