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d8b408e6dc
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
127 lines
6.8 KiB
C++
127 lines
6.8 KiB
C++
/*
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* Copyright (c) 2020-2023, NVIDIA CORPORATION. All rights reserved.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#pragma once
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#include <curand_kernel.h>
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namespace tensorrt_llm
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{
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namespace kernels
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{
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//! \brief Initialize buffers for topP inference
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//!
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//! \param topPIdValBuf output buffer [batchSize, vocabSize]. Value at {bi,vi} position contains vi token id.
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//! \param topPOffsetBuf output buffer [batchSize+1].
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//! \param beginTopPOffsetBuf output buffer [batchSize+1].
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//! \param batchSize number of requests in batch
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//! \param vocabSize size of the inner dimension
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//! \param stream stream
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void invokeTopPInitialize(int* topPIdValBuf, int* topPOffsetBuf, int* beginTopPOffsetBuf, const size_t batchSize,
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const int vocabSize, cudaStream_t stream);
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//! \brief Applies mask, adds bias to logits and computes softmax values.
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//! Sets -MAX_FLT value for tokens in range [vocabSize; vocabSizePadded) to prevent them from being chosen.
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//! If request finished the generation, sets MAX_FLT to endId token and -MAX_FLT to all other tokens forcing to choose
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//! endId token. Otherwise, adds bias per token if bias pointer is not nullptr.
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//!
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//! \param logits input/output buffer [batchSize, vocabSize]. Logits to be modified by mask, bias and softmax.
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//! \param bias input buffer [vocabSize]. Bias to logit per token. Ignored if nullptr
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//! \param endIds input buffer [batchSize]. EOS token ids per request
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//! \param finished input buffer [batchSize] with flags set to true if request has finished the generation
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//! \param batchSize batch size
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//! \param vocabSize unpadded vocab size
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//! \param vocabSizePadded padded vocab size
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//! \param stream stream
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template <typename T>
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void invokeAddBiasSoftMax(T* logits, const T* bias, const int* endIds, const bool* finished, const int batchSize,
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const int vocabSize, const int vocabSizePadded, cudaStream_t stream);
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/**
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//! \brief Given logProbs, performs top P sampling. Fills sampled tokens to outputIds.
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//! Computes sequenceLength, finished state, cumLogProbs inplace.
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//! Sampling per request can be controlled using skipDecode and topPs parameters.
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//! Function sets workspaceSize and cubTempStorageSize and exits early if workspace is nullptr.
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//!
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//! \param workspace pointer to the workspace. Has to be pre-allocated by caller. Function does not take ownership of
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the
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//! buffer.
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//! \param workspaceSize size of the workspace in bytes.
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//! \param cubTempStorageSize workspace size for cub radix sort.
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//! \param outputIds output buffer [batchSize][maxSeqLen]. Contains pointers to rows with output tokens per request.
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//! \param sequenceLength input/output buffer [batchSize]. Current sequence length of the request up to, but excluding
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endId token.
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//! \param finishedBuf input/output buffer [batchSize]. Flag if sequence has finished (if finished || outputId ==
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endId).
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//! If true, request exits early.
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//! \param cumLogProbs input/output buffer [batchSize]. Cumulative log probability of selected tokens. Ignored if
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nullptr.
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//! \param outputLogProbs output buffer [batchSize]. Log probs is the probability
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//! induced by the top-k sampling. We normalize the probability 'expLogit' of the selected token by the probability
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//! 's_sum' of a set of top-k tokens, meaning the logProb is the probability of the selected token, conditioned on the
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//! event that it is selected, i.e., log_prob = log P(i | i is in top-k) = log(expLogit / s_sum). Ignored if nullptr.
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//! \param logProbs input buffer [batchSize x vocabSizePadded]. Log probabilities of each token in the vocab.
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//! If cumLogProbs or outputLogProbs are specified, logProbs must contain **just** probabilities instead of log
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//! probabilities.
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//! \param idVals input buffer [batchSize, vocabSize]. Value at {bi,vi} position contains vi token id.
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//! Initialized using invokeTopPInitialize.
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//! \param offsetBuf input buffer [batchSize+1]. Array of offsets initialized using invokeTopPInitialize.
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//! \param beginOffsetBuf input buffer [batchSize+1]. Array of offsets initialized using invokeTopPInitialize.
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//! \param curandstate input buffer [batchSize]. Curand states properly initialized using
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//! invokeCurandInitialize per request.
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//! \param batchSize batch size
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//! \param vocabSizePadded size of padded vocab
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//! \param endIds input buffer [batchSize]. EOS token ids per request
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//! \param maxTopP maximum among all topPs P for topP sampling
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//! \param topPs input buffer [batchSize]. P for topP sampling per request. Supported P is in range (0.0; 1.0].
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//! If nullptr maxTopP is used for all requests.
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//! \param stream cuda stream
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//! \param cudaDeviceProp
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//! \param skipDecode input buffer [batchSize]. Flags whether to skip decoding per request
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*/
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template <typename T>
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void invokeBatchTopPSampling(void* workspace, size_t& workspaceSize, size_t& cubTempStorageSize, int** outputIds,
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int* sequenceLength, bool* finishedBuf, float* cumLogProbs, float* outputLogProbs, const T* logProbs,
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const int* idVals, int* offsetBuf, int* beginOffsetBuf, curandState_t* curandstate, const int batchSize,
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const size_t vocabSizePadded, const int* endIds, const float maxTopP, const float* topPs, cudaStream_t stream,
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const bool* skipDecode);
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//! \brief Specialization of invokeBatchTopPSampling with topPs=nullptr
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template <typename T>
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void invokeTopPSampling(void* workspace, size_t& workspaceSize, size_t& cubTempStorageSize, int** outputIds,
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int* sequenceLength, bool* finishedBuf, float* cumLogProbs, float* outputLogProbs, const T* logProbs,
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const int* idVals, int* offsetBuf, int* beginOffsetBuf, curandState_t* curandstate, const int batchSize,
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const size_t vocabSizePadded, const int* endIds, const float topPp, cudaStream_t stream, const bool* skipDecode);
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//! \brief Compute the topp decay by https://arxiv.org/pdf/2206.04624.pdf
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//! In short, the formula is
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//! runtimeTopP = max(runtimeTopP * topPDecay, topPMin)
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//! If generating the topPResetIds, then reset the runtimeTopP.
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//!
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//! \param runtimeTopP
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//! \param runtimeInitialTopP
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//! \param outputIds
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//! \param topPDecay
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//! \param topPMin
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//! \param topPResetIds
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//! \param localBatchSize
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void invokeComputeToppDecay(float* runtimeTopP, const float* runtimeInitialTopP, const int** outputIds,
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const float* topPDecay, const float* topPMin, const int32_t* topPResetIds, const int* sequenceLengths,
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const int localBatchSize, cudaStream_t stream);
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} // namespace kernels
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} // namespace tensorrt_llm
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