mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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118 lines
3.0 KiB
C++
118 lines
3.0 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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#include "tensorrt_llm/runtime/tllmBuffers.h"
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namespace tensorrt_llm::runtime
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{
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template <typename TAllocator>
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typename PoolAllocator<TAllocator>::PoolType& PoolAllocator<TAllocator>::getPool()
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{
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static PoolType pool;
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return pool;
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}
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MulticastTensorView::MulticastTensorView(std::weak_ptr<MulticastTensor> const& tensor, ViewType viewType)
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: mTensor(tensor)
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, mViewType(viewType)
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, mDims(mTensor.lock()->getShape())
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{
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}
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MulticastTensorView::MulticastTensorView(MulticastTensorView&& other) noexcept
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: mTensor(std::move(other.mTensor))
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, mViewType(other.mViewType)
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, mDims(mTensor.lock()->getShape())
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{
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}
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MulticastTensorView& MulticastTensorView::operator=(MulticastTensorView&& other) noexcept
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{
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if (this != &other)
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{
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// Reset tensor.
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mTensor.reset();
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mTensor.swap(other.mTensor);
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mViewType = other.mViewType;
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mDims = mTensor.lock()->getShape();
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}
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return *this;
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}
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std::shared_ptr<MulticastBuffer> MulticastTensorView::lock() const
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{
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auto sp = mTensor.lock();
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TLLM_CHECK(sp != nullptr);
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return sp;
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}
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///////////////////////////////////////
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// MulticastTensorView ITensor methods
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///////////////////////////////////////
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nvinfer1::Dims const& MulticastTensorView::getShape() const
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{
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return mDims;
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}
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void MulticastTensorView::reshape(nvinfer1::Dims const& dims)
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{
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auto new_size = nonNegative(volume(dims));
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if (new_size > getCapacity())
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{
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TLLM_THROW("MulticastTensorView::reshape() cannot be larger than origin tensor.");
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}
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mDims = dims;
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}
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///////////////////////////////////////
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// MulticastTensorView IBuffer methods
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///////////////////////////////////////
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void* MulticastTensorView::_data() const
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{
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switch (mViewType)
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{
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case ViewType::kUNICAST: return lock()->data();
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case ViewType::kMULTICAST: return lock()->dataMC();
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case ViewType::kIPC_LIST: return lock()->dataIpcList();
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}
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TLLM_THROW("Invalid mViewType");
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return nullptr;
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}
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std::size_t MulticastTensorView::getSize() const
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{
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return lock()->getSize();
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}
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std::size_t MulticastTensorView::getCapacity() const
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{
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return lock()->getCapacity();
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}
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nvinfer1::DataType MulticastTensorView::getDataType() const
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{
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return lock()->getDataType();
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}
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MemoryType MulticastTensorView::getMemoryType() const
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{
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return lock()->getMemoryType();
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}
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// explicit instantiations
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template class PoolAllocator<PinnedAllocator>;
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} // namespace tensorrt_llm::runtime
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