mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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65 lines
1.7 KiB
C++
65 lines
1.7 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 <cstdint>
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#include <memory>
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#include <string>
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#include <unordered_map>
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#include <vector>
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namespace tensorrt_llm::runtime
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{
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#define FMT_DIM "%ld"
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// typedefs
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// Note that we use signed size types as recommended by TensorRT:
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// https://github.com/NVIDIA/TensorRT/blob/main/CODING-GUIDELINES.md#signed-vs-unsigned-integers
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using SizeType32 = std::int32_t;
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using SizeType64 = std::int64_t;
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enum class RequestType : std::int32_t
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{
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kCONTEXT = 0,
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kGENERATION = 1
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};
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// Token ID type
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using TokenIdType = std::int32_t;
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using LoraTaskIdType = std::uint64_t;
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using TokenExtraIdType = std::uint64_t;
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using VecTokenExtraIds = std::vector<TokenExtraIdType>;
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struct UniqueToken
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{
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TokenIdType tokenId;
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TokenExtraIdType tokenExtraId;
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bool operator==(UniqueToken const& other) const noexcept
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{
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return (tokenId == other.tokenId && tokenExtraId == other.tokenExtraId);
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}
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};
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using VecUniqueTokens = std::vector<UniqueToken>;
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template <typename T>
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using StringPtrMap = std::unordered_map<std::string, std::shared_ptr<T>>;
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} // namespace tensorrt_llm::runtime
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