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https://github.com/NVIDIA/TensorRT-LLM.git
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113 lines
3.6 KiB
C++
113 lines
3.6 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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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/executor/executor.h"
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namespace tensorrt_llm::executor
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{
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PeftCacheConfig::PeftCacheConfig(SizeType32 numHostModuleLayer, SizeType32 numDeviceModuleLayer,
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SizeType32 optimalAdapterSize, SizeType32 maxAdapterSize, SizeType32 numPutWorkers, SizeType32 numEnsureWorkers,
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SizeType32 numCopyStreams, SizeType32 maxPagesPerBlockHost, SizeType32 maxPagesPerBlockDevice,
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std::optional<FloatType> const& deviceCachePercent, std::optional<size_t> const& hostCacheSize,
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std::optional<std::string> const& loraPrefetchDir)
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: mNumHostModuleLayer(numHostModuleLayer)
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, mNumDeviceModuleLayer(numDeviceModuleLayer)
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, mOptimalAdapterSize(optimalAdapterSize)
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, mMaxAdapterSize(maxAdapterSize)
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, mNumPutWorkers(numPutWorkers)
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, mNumEnsureWorkers(numEnsureWorkers)
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, mNumCopyStreams(numCopyStreams)
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, mMaxPagesPerBlockHost(maxPagesPerBlockHost)
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, mMaxPagesPerBlockDevice(maxPagesPerBlockDevice)
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, mDeviceCachePercent(deviceCachePercent)
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, mHostCacheSize(hostCacheSize)
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, mLoraPrefetchDir(loraPrefetchDir)
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{
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}
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bool PeftCacheConfig::operator==(PeftCacheConfig const& other) const
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{
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return mNumHostModuleLayer == other.mNumHostModuleLayer && mNumDeviceModuleLayer == other.mNumDeviceModuleLayer
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&& mOptimalAdapterSize == other.mOptimalAdapterSize && mMaxAdapterSize == other.mMaxAdapterSize
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&& mNumPutWorkers == other.mNumPutWorkers && mNumEnsureWorkers == other.mNumEnsureWorkers
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&& mNumCopyStreams == other.mNumCopyStreams && mMaxPagesPerBlockHost == other.mMaxPagesPerBlockHost
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&& mMaxPagesPerBlockDevice == other.mMaxPagesPerBlockDevice && mDeviceCachePercent == other.mDeviceCachePercent
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&& mHostCacheSize == other.mHostCacheSize && mLoraPrefetchDir == other.mLoraPrefetchDir;
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}
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SizeType32 PeftCacheConfig::getNumHostModuleLayer() const
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{
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return mNumHostModuleLayer;
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}
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SizeType32 PeftCacheConfig::getNumDeviceModuleLayer() const
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{
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return mNumDeviceModuleLayer;
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}
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SizeType32 PeftCacheConfig::getOptimalAdapterSize() const
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{
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return mOptimalAdapterSize;
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}
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SizeType32 PeftCacheConfig::getMaxAdapterSize() const
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{
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return mMaxAdapterSize;
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}
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SizeType32 PeftCacheConfig::getNumPutWorkers() const
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{
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return mNumPutWorkers;
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}
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SizeType32 PeftCacheConfig::getNumEnsureWorkers() const
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{
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return mNumEnsureWorkers;
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}
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SizeType32 PeftCacheConfig::getNumCopyStreams() const
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{
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return mNumCopyStreams;
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}
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SizeType32 PeftCacheConfig::getMaxPagesPerBlockHost() const
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{
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return mMaxPagesPerBlockHost;
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}
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SizeType32 PeftCacheConfig::getMaxPagesPerBlockDevice() const
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{
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return mMaxPagesPerBlockDevice;
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}
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std::optional<FloatType> PeftCacheConfig::getDeviceCachePercent() const
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{
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return mDeviceCachePercent;
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}
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std::optional<size_t> PeftCacheConfig::getHostCacheSize() const
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{
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return mHostCacheSize;
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}
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std::optional<std::string> PeftCacheConfig::getLoraPrefetchDir() const
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{
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return mLoraPrefetchDir;
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}
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} // namespace tensorrt_llm::executor
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