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https://github.com/NVIDIA/TensorRT-LLM.git
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7b38018fa0
* Add numNodes to ParallelConfig If not provided, attempt to find the number of nodes by adding the number of local ranks 0 Update device IDs check accordingly Signed-off-by: Aurelien Chartier <achartier@nvidia.com> * Add ParallelConfig pickle test Signed-off-by: Aurelien Chartier <achartier@nvidia.com> --------- Signed-off-by: Aurelien Chartier <achartier@nvidia.com>
105 lines
2.8 KiB
C++
105 lines
2.8 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/common/assert.h"
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#include "tensorrt_llm/executor/executor.h"
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#include "tensorrt_llm/executor/types.h"
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#include <filesystem>
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#include <utility>
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namespace tensorrt_llm::executor
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{
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ParallelConfig::ParallelConfig(CommunicationType commType, CommunicationMode commMode,
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std::optional<std::vector<SizeType32>> deviceIds, std::optional<std::vector<SizeType32>> participantIds,
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std::optional<OrchestratorConfig> const& orchestratorConfig, std::optional<SizeType32> numNodes)
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: mCommType(commType)
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, mCommMode(commMode)
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, mDeviceIds(std::move(deviceIds))
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, mParticipantIds(std::move(participantIds))
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, mOrchestratorConfig(orchestratorConfig)
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, mNumNodes(numNodes)
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{
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if (mDeviceIds)
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{
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TLLM_CHECK(!mDeviceIds.value().empty());
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}
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}
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CommunicationType ParallelConfig::getCommunicationType() const
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{
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return mCommType;
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}
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CommunicationMode ParallelConfig::getCommunicationMode() const
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{
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return mCommMode;
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}
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std::optional<std::vector<SizeType32>> ParallelConfig::getDeviceIds() const
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{
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return mDeviceIds;
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}
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std::optional<std::vector<SizeType32>> ParallelConfig::getParticipantIds() const
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{
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return mParticipantIds;
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}
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std::optional<OrchestratorConfig> ParallelConfig::getOrchestratorConfig() const
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{
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return mOrchestratorConfig;
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}
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std::optional<SizeType32> ParallelConfig::getNumNodes() const
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{
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return mNumNodes;
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}
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void ParallelConfig::setCommunicationType(CommunicationType type)
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{
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mCommType = type;
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}
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void ParallelConfig::setCommunicationMode(CommunicationMode mode)
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{
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mCommMode = mode;
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}
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void ParallelConfig::setDeviceIds(std::vector<SizeType32> const& deviceIds)
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{
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TLLM_CHECK(!deviceIds.empty());
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mDeviceIds = deviceIds;
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}
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void ParallelConfig::setParticipantIds(std::vector<SizeType32> const& participantIds)
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{
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mParticipantIds = participantIds;
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}
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void ParallelConfig::setOrchestratorConfig(OrchestratorConfig const& orchestratorConfig)
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{
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mOrchestratorConfig = orchestratorConfig;
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}
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void ParallelConfig::setNumNodes(SizeType32 numNodes)
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{
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mNumNodes = numNodes;
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}
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} // namespace tensorrt_llm::executor
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