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https://github.com/NVIDIA/TensorRT-LLM.git
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67 lines
2.6 KiB
C++
67 lines
2.6 KiB
C++
/*
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* Copyright (c) 2019-2023, 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 "gptKernels.h"
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#include <cuda_fp16.h>
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#include <cuda_runtime.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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struct gatherTreeParam
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{
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// TODO rename the parameters
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int* beams = nullptr; // [batch_size, beam_width, max_seq_len], workspace to put intermediate output_ids
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int* sequence_lengths = nullptr; // [batch_size, beam_width], total lengths of each query
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int max_sequence_length_final_step = 0;
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const int* input_lengths = nullptr; // [batch_size, beam_width]
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// response input lengths (used to slice the ids during postprocessing)
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int* response_input_lengths = nullptr;
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int max_seq_len = 0;
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int batch_size = 0;
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int beam_width = 0;
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const int* step_ids = nullptr; // [max_seq_len, batch_size, beam_width]
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const int* parent_ids = nullptr; // [max_seq_len, batch_size, beam_width]
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const int* end_tokens = nullptr; // [batch_size], end token ids of each query
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int* output_ids = nullptr; // the buffer to put finalized ids
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cudaStream_t stream;
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float* cum_log_probs = nullptr; // [batch_size, beam_width]
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float length_penalty = 1.0f; // on cpu
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};
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/*
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Do gatherTree on beam search to get final result.
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*/
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void invokeGatherTree(gatherTreeParam param);
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void invokeFinalize(int* output_ids, int* sequence_lengths, float* cum_log_probs, float* output_log_probs,
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const int* topk_output_ids, const int* topk_sequence_lengths, const float* scores, const float* topk_cum_log_probs,
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const float* topk_log_probs, const int* num_beams, const int* input_lengths, const int beam_width,
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const int max_seq_len, const int batch_size, cudaStream_t stream);
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void invokeInitializeOutput(int* output_ids, const int* end_ids, int batch_beam, int max_seq_len, cudaStream_t stream);
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void invokeCopyNextStepIds(int* next_step_ids, int** output_ids_ptr, const int* sequence_lengths, int batch_size,
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int beam_width, int max_seq_len, cudaStream_t stream);
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} // namespace kernels
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} // namespace tensorrt_llm
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