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* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
83 lines
2.4 KiB
C++
83 lines
2.4 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 "tensorrt_llm/kernels/onlineSoftmaxBeamsearchKernels.h"
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#include "tensorrt_llm/layers/baseBeamSearchLayer.h"
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#include <optional>
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namespace tc = tensorrt_llm::common;
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namespace tensorrt_llm
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{
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namespace layers
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{
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// TODO - merge this class with BaseBeamSearchLayer
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template <typename T>
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class OnlineBeamSearchLayer : public BaseBeamSearchLayer<T>
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{
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public:
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using Base = BaseBeamSearchLayer<T>;
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class SetupParams : public Base::SetupParams
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{
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public:
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std::optional<std::vector<float>> beam_search_diversity_rate; // [1] or [batch_size] on cpu
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std::optional<std::vector<float>> length_penalty; // [1] or [batch_size] on cpu
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};
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OnlineBeamSearchLayer(size_t vocab_size, size_t vocab_size_padded, cudaStream_t stream, tc::IAllocator* allocator,
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bool is_free_buffer_after_forward);
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OnlineBeamSearchLayer(OnlineBeamSearchLayer<T> const& beam_search_layer);
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~OnlineBeamSearchLayer() override;
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void setup(size_t batch_size, SetupParams const& setupParams);
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protected:
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// meta data
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using Base::vocab_size_;
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using Base::vocab_size_padded_;
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using Base::topk_softmax_workspace_size_;
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using Base::topk_softmax_workspace_;
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using typename Base::BeamSearchOutputParams;
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using typename Base::SoftmaxParams;
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void invokeSoftMax(BeamSearchOutputParams& outputs, SoftmaxParams const& params) override;
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using Base::stream_;
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using Base::is_allocate_buffer_;
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using Base::allocator_;
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std::vector<float> mDiversityRate;
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std::vector<float> mLengthPenalty;
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float* diversity_rates_buf_;
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float* length_penalties_buf_;
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private:
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void allocateBuffer(size_t batch_size);
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void freeBuffer();
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};
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} // namespace layers
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} // namespace tensorrt_llm
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