aphrodite-engine/kernels/quantization/eetq/cutlass_kernels/cutlass_heuristic.h

/*
 * 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 <vector>
#include <cstddef>
#include <cstdint>
#include "cutlass_extensions/ft_gemm_configs.h"

namespace fastertransformer {

std::vector<CutlassGemmConfig> get_candidate_configs(int sm, const bool is_weight_only, const bool simt_configs_only);

CutlassGemmConfig estimate_best_config_from_occupancies(const std::vector<CutlassGemmConfig>& candidate_configs,
                                                        const std::vector<int>&               occupancies,
                                                        const int64_t                         m,
                                                        const int64_t                         n,
                                                        const int64_t                         k,
                                                        const int64_t                         num_experts,
                                                        const int                             split_k_limit,
                                                        const size_t                          workspace_bytes,
                                                        const int                             multi_processor_count,
                                                        const int                             is_weight_only);

}  // namespace fastertransformer