mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
82 lines
2.9 KiB
C++
82 lines
2.9 KiB
C++
/*
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* Copyright (c) 2022-2023, 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/iBuffer.h"
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#include "tensorrt_llm/runtime/iTensor.h"
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#include "tensorrt_llm/common/cudaUtils.h"
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#include "tensorrt_llm/runtime/bufferView.h"
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#include <cuda_runtime_api.h>
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#include <memory>
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using namespace tensorrt_llm::runtime;
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MemoryType IBuffer::memoryType(void const* data)
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{
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cudaPointerAttributes attributes{};
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TLLM_CUDA_CHECK(::cudaPointerGetAttributes(&attributes, data));
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switch (attributes.type)
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{
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case cudaMemoryTypeHost: return MemoryType::kPINNED;
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case cudaMemoryTypeDevice:
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case cudaMemoryTypeManaged: return MemoryType::kGPU;
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case cudaMemoryTypeUnregistered: return MemoryType::kCPU;
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default: TLLM_THROW("Unsupported memory type");
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}
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}
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IBuffer::UniquePtr IBuffer::slice(IBuffer::SharedPtr buffer, std::size_t offset, std::size_t size)
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{
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return std::make_unique<BufferView>(std::move(buffer), offset, size);
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}
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IBuffer::UniquePtr IBuffer::wrap(void* data, nvinfer1::DataType type, std::size_t size, std::size_t capacity)
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{
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TLLM_CHECK_WITH_INFO(size <= capacity, "Requested size is larger than capacity");
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auto memoryType = IBuffer::memoryType(data);
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IBuffer::UniquePtr result;
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auto const capacityInBytes = capacity * BufferDataType(type).getSize();
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switch (memoryType)
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{
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case MemoryType::kPINNED:
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result.reset(new GenericBuffer( // NOLINT(modernize-make-unique)
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capacity, type, PinnedBorrowingAllocator(data, capacityInBytes)));
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break;
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case MemoryType::kCPU:
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result.reset( // NOLINT(modernize-make-unique)
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new GenericBuffer(capacity, type, CpuBorrowingAllocator(data, capacityInBytes)));
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break;
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case MemoryType::kGPU:
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result.reset( // NOLINT(modernize-make-unique)
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new GenericBuffer(capacity, type, GpuBorrowingAllocator(data, capacityInBytes)));
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break;
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default: TLLM_THROW("Unknown memory type");
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}
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result->resize(size);
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return result;
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}
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std::ostream& tensorrt_llm::runtime::operator<<(std::ostream& output, IBuffer const& buffer)
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{
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auto data = const_cast<IBuffer&>(buffer).data();
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auto tensor = ITensor::wrap(data, buffer.getDataType(),
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ITensor::makeShape({static_cast<SizeType>(buffer.getSize())}), buffer.getCapacity());
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return output << *tensor;
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}
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