/*
 * 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 <string>

#include "pytorch_extension_utils.h"

void CutlassGroupGemmFP8GroupwiseScaledSM100(
    at::Tensor int_workspace_buffer, at::Tensor float_workspace_buffer, at::Tensor A, at::Tensor B,
    at::Tensor SFA, at::Tensor SFB, at::Tensor D, at::Tensor m_indptr, int64_t n, int64_t k,
    int64_t scale_granularity_m, int64_t scale_granularity_n, int64_t scale_granularity_k,
    std::string scale_major_mode, int64_t mma_sm);

void CutlassGroupGemmMXFP4GroupwiseScaledSM100(at::Tensor int_workspace_buffer,
                                               at::Tensor float_workspace_buffer, at::Tensor A,
                                               at::Tensor B, at::Tensor SFA, at::Tensor SFB,
                                               at::Tensor D, at::Tensor m_indptr, int64_t n,
                                               int64_t k, int64_t mma_sm, int64_t tile_m,
                                               int64_t tile_n, int64_t tile_k, bool swap_ab);

TORCH_LIBRARY_FRAGMENT(TORCH_EXTENSION_NAME, m) {
  m.def("group_gemm_fp8_nt_groupwise", CutlassGroupGemmFP8GroupwiseScaledSM100);
  m.def("group_gemm_mxfp4_nt_groupwise", CutlassGroupGemmMXFP4GroupwiseScaledSM100);
}