mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
103 lines
3.9 KiB
Plaintext
103 lines
3.9 KiB
Plaintext
/*
|
|
* Copyright (c) 2019-2024, 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.
|
|
*/
|
|
|
|
#include <cuda_runtime_api.h>
|
|
|
|
#include <cuda_bf16.h>
|
|
#include <cuda_fp16.h>
|
|
|
|
#ifdef ENABLE_FP8
|
|
#include <cuda_fp8.h>
|
|
#endif
|
|
|
|
#include "draftTokenTreeKernels.h"
|
|
#include "tensorrt_llm/common/assert.h"
|
|
#include "tensorrt_llm/common/cudaBf16Fallbacks.cuh"
|
|
#include "tensorrt_llm/common/cudaTypeUtils.cuh"
|
|
#include "tensorrt_llm/common/cudaUtils.h"
|
|
|
|
using namespace tensorrt_llm::common;
|
|
|
|
namespace tensorrt_llm
|
|
{
|
|
namespace kernels
|
|
{
|
|
|
|
__global__ void extractRealDraftTokensKernel(int const curDraftIdx, int const batchSize, int const maxDraftLen,
|
|
int const maxTotalDraftTokens, int const maxTopK, int const numTokensExpandThisLayer,
|
|
int* tokensGatherIdxForDrafterModel, int* topKList, int* draftTokensIndicesCumsum, int64_t* newDraftTokens,
|
|
int64_t* draftTokensBuffer)
|
|
{
|
|
// curDraftIdx: int
|
|
// batchSize: int
|
|
// maxTotalDraftTokens: int
|
|
// maxTopK: int
|
|
// tokensGatherIdxForDrafterModel: int32_t*, indices of the draft tokens that need to be expand this layer
|
|
// shape: [numTokensExpandThisLayer]
|
|
// topKList: int32_t*, top k value for each expandable token
|
|
// shape: [numTokensExpandThisLayer]
|
|
// draftTokensIndicesCumsum: int32_t*, the cumulative sum of the write back indices for each draft layer
|
|
// shape: [maxDraftLen + 1]
|
|
// newDraftTokens: int64_t*, the new draft tokens. We only need to extract this layer's tokens and write back to
|
|
// the draftTokensBuffer shape: [batchSize, maxTotalDraftTokens + 1 if curDraftIdx > 0 else 1, maxTopK]
|
|
// draftTokensBuffer: int64_t*, the buffer to store the real draft tokens
|
|
// shape: [maxBatchSize, maxTotalDraftTokens + 1]
|
|
|
|
// Each thread handles one request
|
|
auto const tix = static_cast<int>(blockIdx.x * blockDim.x + threadIdx.x);
|
|
auto const isValid{tix < batchSize};
|
|
|
|
if (isValid)
|
|
{
|
|
int newDraftTokensOffset = curDraftIdx == 0 ? 1 : maxTotalDraftTokens + 1;
|
|
auto newDraftTokensStartPtr = newDraftTokens + tix * newDraftTokensOffset * maxTopK;
|
|
auto draftTokensBufferPtr
|
|
= draftTokensBuffer + tix * (maxTotalDraftTokens + 1) + draftTokensIndicesCumsum[curDraftIdx];
|
|
|
|
int cnt = 0;
|
|
for (int i = 0; i < numTokensExpandThisLayer; i++)
|
|
{
|
|
int tokenGatherIdx = tokensGatherIdxForDrafterModel[i];
|
|
auto newDraftTokenPtr = newDraftTokensStartPtr + tokenGatherIdx * maxTopK;
|
|
|
|
int topKValue = topKList[i];
|
|
for (int j = 0; j < topKValue; j++)
|
|
{
|
|
int64_t newGenDraftToken = newDraftTokenPtr[j];
|
|
draftTokensBufferPtr[cnt] = newGenDraftToken;
|
|
cnt++;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void invokeExtractRealDraftTokens(ExtractRealDraftTokensParam& params, cudaStream_t const stream)
|
|
{
|
|
int constexpr BLOCK_SIZE = 64;
|
|
int NUM_BLOCKS = divUp(params.batchSize, BLOCK_SIZE);
|
|
|
|
extractRealDraftTokensKernel<<<NUM_BLOCKS, BLOCK_SIZE, 0, stream>>>(params.curDraftIdx, params.batchSize,
|
|
params.maxDraftLen, params.maxTotalDraftTokens, params.maxTopK, params.numTokensExpandThisLayer,
|
|
params.tokensGatherIdxForDrafterModel, params.topKList, params.draftTokensIndicesCumsum, params.newDraftTokens,
|
|
params.draftTokensBuffer);
|
|
|
|
sync_check_cuda_error(stream);
|
|
}
|
|
|
|
} // namespace kernels
|
|
} // namespace tensorrt_llm
|