TensorRT-LLMs/cpp/tensorrt_llm/layers/explicitDraftTokensLayer.h
Kaiyu Xie f430a4b447
Update TensorRT-LLM (#1688)
* Update TensorRT-LLM

---------

Co-authored-by: IbrahimAmin <ibrahimamin532@gmail.com>
Co-authored-by: Fabian Joswig <fjosw@users.noreply.github.com>
Co-authored-by: Pzzzzz <hello-cd.plus@hotmail.com>
Co-authored-by: CoderHam <hemant@cohere.com>
Co-authored-by: Konstantin Lopuhin <kostia.lopuhin@gmail.com>
2024-05-28 20:07:49 +08:00

68 lines
2.0 KiB
C++

/*
* Copyright (c) 2019-2024, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2021, NAVER Corp. Authored by CLOVA.
*
* 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 <curand_kernel.h>
#include "tensorrt_llm/common/tensor.h"
#include "tensorrt_llm/executor/types.h"
#include "tensorrt_llm/layers/baseLayer.h"
#include "tensorrt_llm/layers/decodingParams.h"
#include "tensorrt_llm/runtime/common.h"
#include "tensorrt_llm/runtime/iTensor.h"
namespace tc = tensorrt_llm::common;
namespace tensorrt_llm
{
namespace layers
{
//! \brief
template <typename T>
class ExplicitDraftTokensLayer : public BaseLayer
{
public:
using Base = BaseLayer;
using PathsVec = std::vector<std::vector<std::vector<runtime::SizeType32>>>;
ExplicitDraftTokensLayer(DecoderDomain const& decoderDomain, cudaStream_t stream,
std::shared_ptr<tensorrt_llm::common::IAllocator> allocator);
~ExplicitDraftTokensLayer() override;
void setup(runtime::SizeType32 batchSize, runtime::SizeType32 beamWidth, runtime::SizeType32 const* batchSlots,
std::shared_ptr<BaseSetupParams> setupParams) override;
void forwardAsync(std::shared_ptr<BaseOutputParams> outputs, std::shared_ptr<BaseInputParams> inputs) override;
private:
void allocateBuffer();
void freeBuffer();
private:
using Base::mStream;
using Base::mAllocator;
using Base::mWorkspaceSize;
using Base::mDecoderDomain;
};
} // namespace layers
} // namespace tensorrt_llm