TensorRT-LLMs/cpp/tensorrt_llm/kernels/IndexerTopK.h
ChristinaZ 2e7769d1e8
[None][feat] Add customized topk and related unit tests for DSA (#8882)
Signed-off-by: Christina Zhang <83400082+ChristinaZ@users.noreply.github.com>
2025-11-10 03:35:35 -08:00

36 lines
1.4 KiB
C++

/*
* Copyright (c) 2019-2025, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2021, NAVER Corp. Authored by CLOVA.
*
* 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_bf16.h>
#include <cuda_fp16.h>
#include "tensorrt_llm/common/cudaUtils.h"
namespace tensorrt_llm::kernels
{
void invokeIndexerTopKDecode(float const* logits, int const* seqLens, int* outIndices, float* auxLogits,
int* auxIndices, int const splitWorkThreshold, int const numRows, int const numColumns, int const stride0,
int const stride1, int const next_n, int const index_topk = 2048, cudaStream_t const stream = 0);
void invokeIndexerTopKPrefill(float const* logits, int const* rowStarts, int const* rowEnds, int* outIndices,
int const numRows, int const numColumns, int const stride0, int const stride1, int const index_topk = 2048,
cudaStream_t const stream = 0);
} // namespace tensorrt_llm::kernels