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4e370a509a
* refactor: Copy sequence lengths once in decoder setup Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com> * refactor: Update DecoderInputBuffers to remove duplicated buffers - Renamed and reorganized buffer variables in decoderBuffers.h and decoderBuffers.cpp for better readability. - Adjusted references in generateRequestOptions.cpp to align with the new buffer structure. Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com> * refactor: Move getEmbeddingBias to anonymous namespace Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com> * refactor: Filter context requests Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com> * refactor: GenerateRequestOptions using more fine-grained functions - Added a new method `createDecoderRequests` to encapsulate the logic for creating decoder requests from finished context requests. - Updated the `operator()` method to utilize the new method, improving code clarity and maintainability. Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com> Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com> * refactor: Update TRTLLMDecoder - Updated the `generate_request_options` call. - Updated the `make_decoding_batch_input_output` call. Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com> * refactor: Remove const where we modify input buffers - Changed `DecoderInputBuffers` parameters from const references to non-const references in multiple functions to allow modifications. - Updated related function calls to ensure compatibility with the new parameter types. Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com> * fixup! refactor: Copy sequence lengths once in decoder setup Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com> --------- Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>
63 lines
2.4 KiB
C++
63 lines
2.4 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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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 "common.h"
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#include "tensorrt_llm/common/algorithm.h"
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#include "tensorrt_llm/common/optionalRef.h"
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#include "tensorrt_llm/runtime/common.h"
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#include "tensorrt_llm/runtime/iGptDecoderBatched.h"
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#include "tensorrt_llm/runtime/modelConfig.h"
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namespace tensorrt_llm::runtime::decoder
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{
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class DecoderState;
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} // namespace tensorrt_llm::runtime::decoder
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namespace tensorrt_llm::batch_manager
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{
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class DecoderInputBuffers;
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class DecoderBuffers;
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class RuntimeBuffers;
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class MakeDecodingBatchInputOutput : Algorithm
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{
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public:
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constexpr static auto name{"MakeDecodingBatchInputOutput"};
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using SizeType32 = tensorrt_llm::runtime::SizeType32;
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using TensorPtr = runtime::decoder_batch::Input::TensorPtr;
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template <typename T>
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using OptionalRef = tensorrt_llm::common::OptionalRef<T>;
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MakeDecodingBatchInputOutput() = default;
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std::tuple<std::unique_ptr<runtime::decoder_batch::Input>, std::unique_ptr<runtime::decoder_batch::Output>>
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operator()(RequestVector const& contextRequests, RequestVector const& generationRequests,
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DecoderBuffers& decoderBuffers, DecoderInputBuffers const& inputBuffers,
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runtime::decoder::DecoderState& decoderState, runtime::ModelConfig const& modelConfig,
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SizeType32 maxNumSequences, OptionalRef<RuntimeBuffers> fusedRuntimeBuffers) const;
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[[nodiscard]] static std::unique_ptr<runtime::decoder_batch::Input> createDecoderBatchInputs(
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std::vector<SizeType32> const& activeSlots, runtime::decoder::DecoderState const& decoderState,
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std::vector<TensorPtr> const& logits, SizeType32 maxNumSequences, std::vector<TensorPtr> const& batchSlots,
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TensorPtr const& cacheIndirectionInput);
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};
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} // namespace tensorrt_llm::batch_manager
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