mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
db4edea1e1
* Update TensorRT-LLM --------- Co-authored-by: Kota Tsuyuzaki <bloodeagle40234@gmail.com> Co-authored-by: Pzzzzz <hello-cd.plus@hotmail.com> Co-authored-by: Patrick Reiter Horn <patrick.horn@gmail.com>
90 lines
5.3 KiB
C++
90 lines
5.3 KiB
C++
/*
|
|
* Copyright (c) 2024, 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 "tensorrt_llm/kernels/decodingCommon.h"
|
|
#include "tensorrt_llm/kernels/speculativeDecoding/common.h"
|
|
#include "tensorrt_llm/runtime/common.h"
|
|
#include <cuda_fp16.h>
|
|
#include <cuda_runtime.h>
|
|
#include <curand_kernel.h>
|
|
|
|
namespace tensorrt_llm::kernels::speculative_decoding
|
|
{
|
|
|
|
//! \brief verifies draft medusa tokens given target tokens. Modifies outputIds tensor accordingly filling it with
|
|
//! accepted tokens. Fills logitsPtrs tensor with the pointers to the respective medusa logits tensor according
|
|
//! to the next after the last accepted token.
|
|
//!
|
|
//! \param outputIds output buffer [maxBatchSize, maxSeqLen], input tokens.
|
|
//! \param draftIds input buffer [maxBatchSize, maxDecodingTokens], draft tokens
|
|
//! \param targetIds input buffer [maxBatchSize, maxDecodingTokens], tokens predicted from the target medusa head
|
|
//! \param sequenceLengths input/output buffer [maxBatchSize], length of the data in outputIds without draft tokens
|
|
//! Incrememnted according to the accepted length
|
|
//! \param acceptedLengths output buffer [maxBatchSize], length of the data accepted tokens
|
|
//! \param finishedFinal input buffer [maxBatchSize], finished states per request
|
|
//! \param batchSlots input buffer [batchSize], address map from local index
|
|
//! to global index [0, batchSize] -> [0, maxBatchSize]
|
|
//! \param paths input buffer [maxBatchSize, maxDecodingTokens, maxNumHeads+1],
|
|
//! paths to restore sequences from outputIds and targetIds. Should be filled with -1 for everything that is not path.
|
|
//! \param endIds input buffer [maxBatchSize], EOS ids per request
|
|
//! \param medusaLogits input buffer [maxNumHeads, maxBatchSize, maxDecodingTokens, vocabSize], pointer
|
|
//! to the logits from medusa heads
|
|
//! \param logitsPtrs output buffer [batchSize, maxNumHeads], contains pointers to the
|
|
//! respective rows of the medusaLogits for the next after the accepted token
|
|
//! \param curTokensPerStep current tokens to compute per step will be updated to
|
|
//! targetTokensPerStep if curTokensPerStep == 1
|
|
//! \param targetTokensPerStep target values of tokens to compute per step
|
|
//! \param bestPathIds output buffer [maxBatchSize], indices of the selected paths
|
|
//! \param batchSize current batch size
|
|
//! \param maxBatchSize maximum batch size
|
|
//! \param vocabSize vocab size
|
|
//! \param maxSeqLen maximum sequence length of output ids
|
|
//! \param maxNumHeads maximum number of medusa heads
|
|
//! \param maxDecodingTokens maximum number of tokens per step configured in the system
|
|
//! \param stream stream
|
|
template <typename T>
|
|
void acceptDraftTokensByIdsWithPaths(runtime::TokenIdType* outputIds, runtime::TokenIdType const* draftIds,
|
|
runtime::TokenIdType const* targetIds, runtime::SizeType32* sequenceLengths, runtime::SizeType32* acceptedLengths,
|
|
FinishedState* finishedFinal, runtime::SizeType32 const* batchSlots, runtime::SizeType32 const* paths,
|
|
runtime::TokenIdType const* endIds, T const** medusaLogits, T const** logitsPtrs,
|
|
runtime::SizeType32* curTokensPerStep, runtime::SizeType32 const* targetTokensPerStep,
|
|
runtime::SizeType32* bestPathIds, runtime::SizeType32 batchSize, runtime::SizeType32 maxBatchSize,
|
|
runtime::SizeType32 vocabSize, runtime::SizeType32 maxSeqLen, runtime::SizeType32 maxNumHeads,
|
|
runtime::SizeType32 maxDecodingTokens, cudaStream_t stream);
|
|
|
|
//! \brief assembles draft tokens to treeDraftIds from sourceDraftIds using indices of treeIds
|
|
//!
|
|
//! \param treeDraftIds output buffer [maxBatchSize, maxDecodingTokens-1], output draft tokens
|
|
//! scattered from sourceDraftIds according to treeIds111
|
|
//! \param sourceDraftIds input buffer [maxBatchSize, maxDecodingTokens], draft tokens saved leanearly after
|
|
//! sampling from Medusa heads with TopK.
|
|
//! \param treeIds input buffer [maxBatchSize, maxDecodingTokens-1], address map from sourceDraftIds to treeDraftIds
|
|
//! [0, unqiueDraftTokens] -> [0, maxDecodingTokens], where unqiueDraftTokens = sum(MedusaHeadsTopK)
|
|
//! unqiueDraftTokens <= maxDraftTokens
|
|
//! \param tokensPerStep input buffer [maxBatchSize], number of output draft tokens
|
|
//! \param batchSlots input buffer [maxBatchSize], address map from local index
|
|
//! to global index [0, batchSize] -> [0, maxBatchSize]
|
|
//! \param maxDecodingTokens maximum number of tokens per step configured in the system
|
|
//! \param batchSize current batch size
|
|
//! \param stream cuda stream
|
|
void scatterMedusaDraftTokens(runtime::TokenIdType* treeDraftIds, runtime::TokenIdType const* sourceDraftIds,
|
|
runtime::SizeType32 const* treeIds, runtime::SizeType32 const* tokensPerStep, runtime::SizeType32 const* batchSlots,
|
|
runtime::SizeType32 maxDecodingTokens, runtime::SizeType32 batchSize, cudaStream_t stream);
|
|
|
|
} // namespace tensorrt_llm::kernels::speculative_decoding
|