TensorRT-LLMs/cpp/include/tensorrt_llm/batch_manager/makeDecodingBatchInputOutput.h
Robin Kobus e2a8cbc80b
refactor: manage cache indirection in decoder state (#5315)
Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>
2025-06-24 09:15:59 +02:00

62 lines
2.3 KiB
C++

/*
* SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#pragma once
#include "common.h"
#include "tensorrt_llm/common/algorithm.h"
#include "tensorrt_llm/common/optionalRef.h"
#include "tensorrt_llm/runtime/common.h"
#include "tensorrt_llm/runtime/iGptDecoderBatched.h"
#include "tensorrt_llm/runtime/modelConfig.h"
namespace tensorrt_llm::runtime::decoder
{
class DecoderState;
} // namespace tensorrt_llm::runtime::decoder
namespace tensorrt_llm::batch_manager
{
class DecoderInputBuffers;
class DecoderBuffers;
class RuntimeBuffers;
class MakeDecodingBatchInputOutput : Algorithm
{
public:
constexpr static auto name{"MakeDecodingBatchInputOutput"};
using SizeType32 = tensorrt_llm::runtime::SizeType32;
using TensorPtr = runtime::decoder_batch::Input::TensorPtr;
template <typename T>
using OptionalRef = tensorrt_llm::common::OptionalRef<T>;
MakeDecodingBatchInputOutput() = default;
std::unique_ptr<runtime::decoder_batch::Input> operator()(RequestVector const& contextRequests,
RequestVector const& generationRequests, DecoderBuffers& decoderBuffers,
DecoderInputBuffers const& inputBuffers, runtime::decoder::DecoderState& decoderState,
runtime::ModelConfig const& modelConfig, SizeType32 maxNumSequences,
OptionalRef<RuntimeBuffers> fusedRuntimeBuffers) const;
[[nodiscard]] static std::unique_ptr<runtime::decoder_batch::Input> createDecoderBatchInputs(
std::vector<SizeType32> const& activeSlots, runtime::decoder::DecoderState const& decoderState,
std::vector<TensorPtr> const& logits, SizeType32 maxNumSequences, std::vector<TensorPtr> const& batchSlots);
};
} // namespace tensorrt_llm::batch_manager