TensorRT-LLMs/cpp/include/tensorrt_llm/runtime/iGptDecoderBatched.h
Robin Kobus 9913dc25ae
[None][refactor] decoding inputs, part 2 (#5799)
Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>
2025-11-18 14:38:51 +01:00

81 lines
2.8 KiB
C++

/*
* Copyright (c) 2022-2024, NVIDIA CORPORATION. All rights reserved.
*
* 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 "tensorrt_llm/runtime/cudaEvent.h"
#include "tensorrt_llm/runtime/cudaStream.h"
#include "tensorrt_llm/runtime/iTensor.h"
#include "tensorrt_llm/runtime/modelConfig.h"
#include "tensorrt_llm/runtime/worldConfig.h"
#include <memory>
#include <vector>
namespace tensorrt_llm::batch_manager
{
class DecoderInputBuffers;
class LlmRequest;
} // namespace tensorrt_llm::batch_manager
namespace tensorrt_llm::runtime
{
class SamplingConfig;
namespace decoder
{
class DecoderState;
}
//! GPT decoder class with support for in-flight batching
class IGptDecoderBatched
{
public:
using CudaStreamPtr = std::shared_ptr<CudaStream>;
using LlmRequestPtr = std::shared_ptr<tensorrt_llm::batch_manager::LlmRequest>;
using RequestVector = std::vector<LlmRequestPtr>;
using TensorPtr = std::shared_ptr<ITensor>;
//! @brief Setup the decoder before calling `forward()`
virtual void setup(executor::DecodingMode const& mode, SizeType32 maxNumSequences, SizeType32 maxBeamWidth,
nvinfer1::DataType dtype, ModelConfig const& modelConfig, WorldConfig const& worldConfig)
= 0;
//! @brief Disable Lookahead decoding.
virtual void disableLookahead(RequestVector const& genRequests, TensorPtr const& batchSlots) = 0;
//! @brief Run one step for all requests without blocking the host process and return the token for synchronization.
virtual CudaEvent forwardAsync(
decoder::DecoderState const& decoderState, batch_manager::DecoderInputBuffers const& input)
= 0;
//! @brief Run one step for all requests and wait for completion on the host.
virtual void forward(decoder::DecoderState const& decoderState, batch_manager::DecoderInputBuffers const& input)
= 0;
//! @brief Gather final beam search results for request `batchIdx`.
//! Result will only be available after event returned
[[nodiscard]] virtual CudaEvent finalize(decoder::DecoderState const& decoderState, SizeType32 batchSlot,
SamplingConfig const& samplingConfig, bool streaming) const
= 0;
protected:
IGptDecoderBatched() = default;
virtual ~IGptDecoderBatched() = default;
};
} // namespace tensorrt_llm::runtime