/*
 * 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.
 */

#pragma once

#include <cuda_runtime_api.h>

#include "../../include/moe_gemm_kernels.h"
#include "cutlass_extensions/gemm/collective/collective_mma_array_mixed_input.hpp"
#include "cutlass_extensions/gemm_configs.h"
#include "cutlass_extensions/weight_only_quant_op.h"

namespace tensorrt_llm {
namespace kernels {
namespace cutlass_kernels_oss {
using tensorrt_llm::kernels::cutlass_kernels::GroupedGemmInput;
using tensorrt_llm::kernels::cutlass_kernels::TmaWarpSpecializedGroupedGemmInput;
template <typename T, typename WeightType, typename GemmOutputType, typename EpilogueTag,
          typename CTAShape, typename ClusterShape, typename MainloopScheduleType,
          typename EpilogueScheduleType, cutlass::WeightOnlyQuantOp QuantOp,
          cutlass::gemm::collective::MixedInputScaleMode ScaleMode =
              cutlass::gemm::collective::MixedInputScaleMode::kPostMma>
void sm90_generic_mixed_moe_gemm_kernelLauncher(
    tensorrt_llm::kernels::cutlass_kernels::GroupedGemmInput<T, WeightType, GemmOutputType,
                                                             GemmOutputType>
        inputs,
    TmaWarpSpecializedGroupedGemmInput hopper_inputs, int sm_count_, size_t* workspace_size);

template <typename T, typename WeightType, typename GemmOutputType, typename EpilogueTag,
          typename CTAShape, typename ClusterShape, typename MainloopScheduleType,
          typename EpilogueScheduleType, cutlass::WeightOnlyQuantOp QuantOp,
          cutlass::gemm::collective::MixedInputScaleMode ScaleMode,
          tensorrt_llm::cutlass_extensions::MainloopScheduleType KernelType>
void sm90_generic_mixed_moe_small_k_kernelLauncher(
    tensorrt_llm::kernels::cutlass_kernels::GroupedGemmInput<T, WeightType, GemmOutputType,
                                                             GemmOutputType>
        inputs,
    TmaWarpSpecializedGroupedGemmInput hopper_inputs, int sm_count_, size_t* workspace_size);

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