/*
 * Copyright (c) 2020-2023, NVIDIA CORPORATION.  All rights reserved.
 *
 * 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 <cuda_runtime_api.h>

#include "cutlass_extensions/gemm_configs.h"
#include "cutlass_extensions/weight_only_quant_op.h"

namespace tensorrt_llm {
namespace kernels {
namespace cutlass_kernels_oss {

template <typename ActivationType, typename WeightType, typename ScaleZeroType, typename BiasType,
          typename OutputType, cutlass::WeightOnlyQuantOp QuantOp, typename EpilogueTag,
          typename CTAShape, typename ClusterShape, typename MainloopScheduleType,
          typename EpilogueScheduleType>
void sm90_generic_mixed_gemm_kernelLauncher(
    ActivationType const* A, WeightType const* B, ScaleZeroType const* weight_scales,
    ScaleZeroType const* weight_zero_points, BiasType const* biases, float const alpha,
    OutputType* C, int m, int n, int k, int const group_size,
    tensorrt_llm::cutlass_extensions::CutlassGemmConfig gemm_config, char* workspace,
    size_t workspace_bytes, cudaStream_t stream, int* occupancy = nullptr);

}  // namespace cutlass_kernels_oss
}  // namespace kernels
}  // namespace tensorrt_llm
