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* TensorRT-LLM Release 0.10.0 --------- Co-authored-by: Loki <lokravi@amazon.com> Co-authored-by: meghagarwal <16129366+megha95@users.noreply.github.com>
115 lines
2.4 KiB
C++
115 lines
2.4 KiB
C++
/*
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* Copyright (c) 2022-2024, 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/runtime/common.h"
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#include <limits>
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#include <string>
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#include <unordered_map>
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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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class DefaultDecodingParams
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{
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public:
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[[nodiscard]] static constexpr float getTemperature()
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{
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return 1.0f;
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}
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[[nodiscard]] static constexpr float getRepetitionPenalty()
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{
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return 1.0f;
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}
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[[nodiscard]] static constexpr float getPresencePenalty()
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{
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return 0.0f;
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}
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[[nodiscard]] static constexpr float getFrequencyPenalty()
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{
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return 0.0f;
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}
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[[nodiscard]] static constexpr runtime::SizeType32 getMinLength()
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{
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return 1;
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}
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[[nodiscard]] static constexpr uint64_t getSeed()
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{
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return 0;
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}
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[[nodiscard]] static constexpr runtime::SizeType32 getTopK()
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{
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return 0;
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}
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[[nodiscard]] static constexpr float getTopP()
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{
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return 0.0f;
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}
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[[nodiscard]] static constexpr float getTopPDecay()
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{
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return 1.0f;
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}
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[[nodiscard]] static constexpr float getTopPMin()
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{
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return 1.0e-6f;
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}
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[[nodiscard]] static constexpr runtime::TokenIdType getTopPResetId()
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{
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return -1;
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}
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[[nodiscard]] static constexpr float getBeamSearchDiversity()
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{
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return 0.f;
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}
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[[nodiscard]] static constexpr float getLengthPenalty()
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{
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return 0.f;
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}
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[[nodiscard]] static constexpr runtime::SizeType32 getEarlyStopping()
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{
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return 1;
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}
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[[nodiscard]] static constexpr bool getNormalizeLogProbs()
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{
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return false;
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}
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[[nodiscard]] static std::vector<runtime::SizeType32> getTopKMedusaHeads()
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{
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return {};
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}
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};
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} // namespace layers
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} // namespace tensorrt_llm
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