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https://github.com/NVIDIA/TensorRT-LLM.git
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56 lines
2.5 KiB
C++
56 lines
2.5 KiB
C++
/*
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* Copyright (c) 2020-2023, NVIDIA CORPORATION. All rights reserved.
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* Copyright (c) 2021, NAVER Corp. Authored by CLOVA.
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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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template <typename T>
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void invokeTopKSampling(void* workspace, size_t& workspace_size, const T* log_probs, int** ids, int* sequence_length,
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bool* finished_buf, float* cum_log_probs, float* output_log_probs, curandState_t* curandstate, const int top_k,
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const float top_p, const int vocab_size_padded, const int* end_ids, cudaStream_t stream, const int batch_size,
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const bool* skip_decode);
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template <typename T>
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void invokeBatchTopKSampling(void* workspace, size_t& workspace_size, const T* log_probs, int** ids,
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int* sequence_lengths, bool* finished, float* cum_log_probs, float* output_log_probs, curandState_t* curandstate,
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const int max_top_k, const int* top_ks, const float top_p, const float* top_ps, const int vocab_size_padded,
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const int* end_ids, cudaStream_t stream, const int batch_size, const bool* skip_decode);
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void invokeCurandInitialize(
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curandState_t* state, const size_t batch_size, unsigned long long random_seed, cudaStream_t stream);
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void invokeCurandBatchInitialize(
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curandState_t* states, const size_t batch_size, const unsigned long long* random_seeds, cudaStream_t stream);
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template <typename T>
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void invokeAddBiasEndMask(T* logits, const T* bias, const int* end_ids, const bool* finished, const int batch_size,
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const int vocab_size, const int vocab_size_padded, cudaStream_t stream);
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template <typename T>
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void invokeTopKTopPSampling(void* workspace, size_t& workspace_size, int** output_ids, const T* logits,
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int* sequence_lengths, bool* finished_buf, float* cum_log_probs, float* output_log_probs,
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curandState_t* curandstate, const int batch_size, const int top_k, const float top_p, const int vocab_size_padded,
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const int* end_ids, cudaStream_t stream);
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} // namespace kernels
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} // namespace tensorrt_llm
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