mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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94 lines
2.9 KiB
C++
94 lines
2.9 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/memoryCounters.h"
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#include "tensorrt_llm/common/stringUtils.h"
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#include <array>
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#include <cmath>
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namespace tc = tensorrt_llm::common;
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namespace
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{
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auto constexpr kByteUnits = std::array{"B", "KB", "MB", "GB", "TB", "PB", "EB"};
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std::string doubleBytesToString(double bytes, int precision)
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{
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std::uint32_t unitIdx{0};
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while (std::abs(bytes) >= 1024.0 && unitIdx < kByteUnits.size() - 1)
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{
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bytes /= 1024.0;
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++unitIdx;
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}
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auto const format = "%." + std::to_string(precision) + "f %s";
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return tc::fmtstr(format.c_str(), bytes, kByteUnits[unitIdx]);
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}
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} // namespace
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namespace tensorrt_llm::runtime
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{
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std::string MemoryCounters::bytesToString(SizeType32 bytes, int precision)
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{
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return doubleBytesToString(static_cast<double>(bytes), precision);
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}
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std::string MemoryCounters::bytesToString(DiffType bytes, int precision)
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{
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return doubleBytesToString(static_cast<double>(bytes), precision);
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}
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std::string MemoryCounters::toString() const
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{
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return tensorrt_llm::common::fmtstr("[MemUsage] GPU %s, CPU %s, Pinned %s", bytesToString(this->getGpu()).c_str(),
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bytesToString(this->getCpu()).c_str(), bytesToString(this->getPinned()).c_str());
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}
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void MemoryCounters::allocate(MemoryType memoryType, MemoryCounters::SizeType32 size)
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{
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switch (memoryType)
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{
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case MemoryType::kGPU: allocate<MemoryType::kGPU>(size); break;
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case MemoryType::kCPU: allocate<MemoryType::kCPU>(size); break;
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case MemoryType::kPINNED: allocate<MemoryType::kPINNED>(size); break;
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case MemoryType::kPINNEDPOOL: allocate<MemoryType::kPINNEDPOOL>(size); break;
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default: TLLM_THROW("Unknown memory type");
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}
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}
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void MemoryCounters::deallocate(MemoryType memoryType, MemoryCounters::SizeType32 size)
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{
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switch (memoryType)
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{
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case MemoryType::kGPU: deallocate<MemoryType::kGPU>(size); break;
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case MemoryType::kCPU: deallocate<MemoryType::kCPU>(size); break;
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case MemoryType::kPINNED: deallocate<MemoryType::kPINNED>(size); break;
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case MemoryType::kPINNEDPOOL: deallocate<MemoryType::kPINNEDPOOL>(size); break;
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default: TLLM_THROW("Unknown memory type");
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}
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}
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MemoryCounters& MemoryCounters::getInstance()
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{
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static MemoryCounters mInstance;
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return mInstance;
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}
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} // namespace tensorrt_llm::runtime
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