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60 lines
2.2 KiB
C++
60 lines
2.2 KiB
C++
/*
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* Copyright (c) 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/iTensor.h"
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#include "tensorrt_llm/runtime/speculativeDecodingModule.h"
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#include <vector>
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namespace tensorrt_llm::runtime
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{
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class MedusaModule : public SpeculativeDecodingModule
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{
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public:
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using TensorPtr = ITensor::SharedPtr;
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using MedusaChoices = std::vector<std::vector<SizeType32>>;
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explicit MedusaModule(SizeType32 maxAcceptedTokens, SizeType32 maxDraftTokens) noexcept
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: SpeculativeDecodingModule(maxAcceptedTokens, maxDraftTokens, maxDraftTokens)
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{
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}
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explicit MedusaModule() noexcept
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: MedusaModule(0, 0)
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{
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}
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[[nodiscard]] MedusaChoices const& getMedusaChoices() const noexcept
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{
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return mDefaultMedusaChoices;
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}
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private:
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// We use mc_sim_7b_63 from official Medusa implementation, i.e. one of the best trees with 63 nodes found for 7B
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// Vicuna model.
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// We use it as default, if no other are trees are specified on the server level.
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MedusaChoices mDefaultMedusaChoices = {{0}, {0, 0}, {1}, {0, 1}, {2}, {0, 0, 0}, {1, 0}, {0, 2}, {3}, {0, 3}, {4},
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{0, 4}, {2, 0}, {0, 5}, {0, 0, 1}, {5}, {0, 6}, {6}, {0, 7}, {0, 1, 0}, {1, 1}, {7}, {0, 8}, {0, 0, 2}, {3, 0},
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{0, 9}, {8}, {9}, {1, 0, 0}, {0, 2, 0}, {1, 2}, {0, 0, 3}, {4, 0}, {2, 1}, {0, 0, 4}, {0, 0, 5}, {0, 0, 0, 0},
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{0, 1, 1}, {0, 0, 6}, {0, 3, 0}, {5, 0}, {1, 3}, {0, 0, 7}, {0, 0, 8}, {0, 0, 9}, {6, 0}, {0, 4, 0}, {1, 4},
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{7, 0}, {0, 1, 2}, {2, 0, 0}, {3, 1}, {2, 2}, {8, 0}, {0, 5, 0}, {1, 5}, {1, 0, 1}, {0, 2, 1}, {9, 0},
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{0, 6, 0}, {0, 0, 0, 1}, {1, 6}, {0, 7, 0}};
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};
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} // namespace tensorrt_llm::runtime
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