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85 lines
3.7 KiB
Plaintext
85 lines
3.7 KiB
Plaintext
/*
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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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#include "tensorrt_llm/common/cudaUtils.h"
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#include "tensorrt_llm/kernels/onlineSoftmaxBeamsearchKernels.h"
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using namespace tensorrt_llm::common;
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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, int MAX_K>
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void topK_softMax_kernelLauncher(const T* log_probs, const T* bias, const bool* finished, const int* sequence_lengths,
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float* cum_log_probs, float* output_log_probs, int** output_ids_ptr, void* temp_storage,
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const int temp_storage_size, BeamHypotheses* beam_hyps, const int batch_size, const int beam_width,
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const int vocab_size, const int* end_ids, T diversity_rate, const float length_penalty, cudaStream_t stream);
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#define CASE_K(MAX_K) \
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topK_softMax_kernelLauncher<T, MAX_K>(log_probs, bias, finished, sequence_lengths, cum_log_probs, \
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output_log_probs, output_ids_ptr, temp_storage, temp_storage_size, beam_hyps, batch_size, beam_width, \
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vocab_size, end_ids, diversity_rate, length_penalty, stream); \
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break;
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template <typename T>
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void invokeTopkSoftMax(const T* log_probs, const T* bias, const bool* finished, const int* sequence_lengths,
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float* cum_log_probs, float* output_log_probs, int** output_ids_ptr, void* temp_storage,
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const int temp_storage_size, BeamHypotheses* beam_hyps, const int batch_size, const int beam_width,
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const int vocab_size, const int* end_ids, const float diversity_rate, const float length_penalty,
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cudaStream_t stream)
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{
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int log_beam_width(0);
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int recursor(beam_width - 1);
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while (recursor >>= 1)
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++log_beam_width;
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switch (log_beam_width)
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{
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// 0 < beam_width <= 4
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case 0: // 1, 2
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case 1: // 3, 4
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CASE_K(4)
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case 2: // 4 < beam_width <= 8
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CASE_K(8)
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case 3: // 9 < beam_width <= 16
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CASE_K(16)
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case 4: // 16 < beam_width <= 32
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CASE_K(32)
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case 5: // 32 < beam_width <= 64
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CASE_K(64)
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default: throw std::runtime_error(fmtstr("Topk kernel of beam search does not support beam_width=%d", beam_width));
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}
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}
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#undef CASE_K
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template void invokeTopkSoftMax<float>(const float* log_probs, const float* bias, const bool* finished,
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const int* sequence_lengths, float* cum_log_probs, float* output_log_probs, int** output_ids_ptr, void* tmp_storage,
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const int temp_storage_size, BeamHypotheses* beam_hyps, const int batch_size, const int beam_width,
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const int vocab_size, const int* end_ids, const float diversity_rate, const float length_penalty,
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cudaStream_t stream);
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template void invokeTopkSoftMax<half>(const half* log_probs, const half* bias, const bool* finished,
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const int* sequence_lengths, float* cum_log_probs, float* output_log_probs, int** output_ids_ptr, void* tmp_storage,
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const int temp_storage_size, BeamHypotheses* beam_hyps, const int batch_size, const int beam_width,
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const int vocab_size, const int* end_ids, const float diversity_rate, const float length_penalty,
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cudaStream_t stream);
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} // namespace kernels
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} // namespace tensorrt_llm
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