mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
436 lines
13 KiB
C++
436 lines
13 KiB
C++
/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2022 NVIDIA CORPORATION &
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* AFFILIATES. All rights reserved. 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 "allreducePlugin.h"
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#include "mpi.h"
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#include "plugin.h"
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#include "tensorrt_llm/common/mpiUtils.h"
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#include "tensorrt_llm/kernels/customAllReduceKernels.h"
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#include <unistd.h>
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using namespace nvinfer1;
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using tensorrt_llm::plugins::AllreducePluginCreator;
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using tensorrt_llm::plugins::AllreducePlugin;
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using tensorrt_llm::kernels::AllReduceStrategyType;
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static const char* ALLREDUCE_PLUGIN_VERSION{"1"};
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static const char* ALLREDUCE_PLUGIN_NAME{"AllReduce"};
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PluginFieldCollection AllreducePluginCreator::mFC{};
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std::vector<nvinfer1::PluginField> AllreducePluginCreator::mPluginAttributes;
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AllreducePlugin::AllreducePlugin(
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std::set<int> group, nvinfer1::DataType type, AllReduceStrategyType strategy, int32_t counter)
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: mGroup(group)
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, mType(type)
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, mStrategy(strategy)
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, mCounter(counter)
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{
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}
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// Parameterized constructor
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AllreducePlugin::AllreducePlugin(const void* data, size_t length)
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{
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const char *d = reinterpret_cast<const char*>(data), *a = d;
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read(d, mType);
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read(d, mStrategy);
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read(d, mCounter);
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mGroup.clear();
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int groupItem = 0;
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while (d != a + length)
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{
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read(d, groupItem);
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mGroup.insert(groupItem);
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}
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TLLM_CHECK(d == a + length);
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}
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// IPluginV2DynamicExt Methods
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nvinfer1::IPluginV2DynamicExt* AllreducePlugin::clone() const noexcept
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{
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auto* plugin = new AllreducePlugin(*this);
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plugin->setPluginNamespace(mNamespace.c_str());
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return plugin;
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}
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nvinfer1::DimsExprs AllreducePlugin::getOutputDimensions(
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int outputIndex, const nvinfer1::DimsExprs* inputs, int nbInputs, nvinfer1::IExprBuilder& exprBuilder) noexcept
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{
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return inputs[0];
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}
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bool AllreducePlugin::supportsFormatCombination(
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int pos, const nvinfer1::PluginTensorDesc* inOut, int nbInputs, int nbOutputs) noexcept
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{
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if (mStrategy == AllReduceStrategyType::RING)
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{
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TLLM_CHECK_WITH_INFO(nbInputs == 1, "RING (aka. NCCL) strategy only accepts one input.");
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}
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else
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{
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TLLM_CHECK_WITH_INFO(nbInputs == 2, "Non-RING (aka. NCCL) strategies require a workspace tensor.");
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}
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if (nbInputs == 2 && pos == 1)
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{
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return (inOut[pos].type == nvinfer1::DataType::kINT64) && (inOut[pos].format == TensorFormat::kLINEAR);
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}
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else
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{
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return (inOut[pos].type == mType) && (inOut[pos].format == TensorFormat::kLINEAR);
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}
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}
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void AllreducePlugin::configurePlugin(const nvinfer1::DynamicPluginTensorDesc* in, int nbInputs,
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const nvinfer1::DynamicPluginTensorDesc* out, int nbOutputs) noexcept
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{
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}
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size_t AllreducePlugin::getWorkspaceSize(const nvinfer1::PluginTensorDesc* inputs, int nbInputs,
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const nvinfer1::PluginTensorDesc* outputs, int nbOutputs) const noexcept
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{
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return 0;
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}
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AllReduceStrategyType AllreducePlugin::selectImplementation(size_t messageSize, int worldSize) const noexcept
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{
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if (worldSize <= 2)
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{
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if (messageSize < 16 * 1000 * 1000)
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{
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return AllReduceStrategyType::ONESHOT;
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}
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}
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if (worldSize > 2 && worldSize <= 4)
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{
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if (messageSize < 1 * 1000 * 1000)
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{
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return AllReduceStrategyType::ONESHOT;
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}
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if (messageSize < 8 * 1000 * 1000)
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{
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return AllReduceStrategyType::TWOSHOT;
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}
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}
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if (worldSize > 4)
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{
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if (messageSize < 500 * 1000)
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{
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return AllReduceStrategyType::ONESHOT;
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}
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if (messageSize < 8 * 1000 * 1000)
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{
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return AllReduceStrategyType::TWOSHOT;
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}
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}
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return AllReduceStrategyType::RING;
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}
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int AllreducePlugin::enqueue(const nvinfer1::PluginTensorDesc* inputDesc, const nvinfer1::PluginTensorDesc* outputDesc,
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const void* const* inputs, void* const* outputs, void* workspace, cudaStream_t stream) noexcept
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{
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if (isBuilding())
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{
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return 0;
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}
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int size = 1;
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for (int i = 0; i < inputDesc[0].dims.nbDims; ++i)
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{
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size *= inputDesc[0].dims.d[i];
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}
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size_t sizePerElem = 0;
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using tensorrt_llm::common::datatype_enum;
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datatype_enum type;
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switch (mType)
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{
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case DataType::kFLOAT:
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sizePerElem = sizeof(float);
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type = datatype_enum::TYPE_FP32;
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break;
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case DataType::kHALF:
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sizePerElem = sizeof(half);
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type = datatype_enum::TYPE_FP16;
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break;
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#ifdef ENABLE_BF16
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case DataType::kBF16:
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sizePerElem = sizeof(__nv_bfloat16);
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type = datatype_enum::TYPE_BF16;
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break;
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#endif
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default: break;
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}
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auto runtimeStrategy = mStrategy;
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if (runtimeStrategy == AllReduceStrategyType::AUTO)
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{
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runtimeStrategy = selectImplementation(size * sizePerElem, mGroup.size());
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}
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if (runtimeStrategy == AllReduceStrategyType::RING)
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{
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NCCLCHECK(ncclAllReduce(inputs[0], outputs[0], size, (*getDtypeMap())[inputDesc[0].type], ncclSum,
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(*getCommMap())[mGroup], stream));
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}
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else
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{
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int myRank;
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int nRanks = inputDesc[1].dims.d[0] / 3;
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MPICHECK(MPI_Comm_rank(MPI_COMM_WORLD, &myRank));
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// FIXME: pass world config here
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myRank = myRank % nRanks;
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auto params = tensorrt_llm::kernels::AllReduceParams::deserialize(
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reinterpret_cast<const int32_t*>(inputs[1]), nRanks, myRank, mCounter);
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// Make sure all GPUs have finished using their peer_comm_buffer_ptrs in previous invocations
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tensorrt_llm::kernels::invokeMultiGpuBarrier(params, stream);
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cudaMemcpyAsync(
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params.peer_comm_buffer_ptrs[myRank], inputs[0], size * sizePerElem, cudaMemcpyDeviceToDevice, stream);
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tensorrt_llm::kernels::customAllReduce(params, outputs[0], size, sizePerElem, type, runtimeStrategy, stream);
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}
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return 0;
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}
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// IPluginV2Ext Methods
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nvinfer1::DataType AllreducePlugin::getOutputDataType(
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int index, const nvinfer1::DataType* inputTypes, int nbInputs) const noexcept
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{
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assert(index == 0);
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return inputTypes[0];
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}
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// IPluginV2 Methods
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const char* AllreducePlugin::getPluginType() const noexcept
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{
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return ALLREDUCE_PLUGIN_NAME;
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}
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const char* AllreducePlugin::getPluginVersion() const noexcept
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{
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return ALLREDUCE_PLUGIN_VERSION;
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}
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int AllreducePlugin::getNbOutputs() const noexcept
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{
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return 1;
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}
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bool AllreducePlugin::isCustomAllReduceSuported(int ranks_per_node) const noexcept
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{
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constexpr bool isCudaVersionSupported =
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#if defined(CUDART_VERSION) && CUDART_VERSION >= 11020
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true;
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#else
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false;
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#endif
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return isCudaVersionSupported && (ranks_per_node % 2 == 0) && (ranks_per_node <= kernels::MAX_RANKS_PER_NODE)
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&& (ranks_per_node > 0);
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}
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int AllreducePlugin::initialize() noexcept
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{
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if (isBuilding() || mStrategy == AllReduceStrategyType::ONESHOT || mStrategy == AllReduceStrategyType::TWOSHOT)
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{
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return 0;
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}
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int myRank, nRanks;
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MPICHECK(MPI_Comm_rank(MPI_COMM_WORLD, &myRank));
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MPICHECK(MPI_Comm_size(MPI_COMM_WORLD, &nRanks));
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int deviceId;
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cudaGetDevice(&deviceId);
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auto* commMap = getCommMap();
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// [] operator inserts T() if it does not exist
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if ((*commMap)[mGroup] != nullptr)
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{
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return 0;
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}
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int groupRank = 0;
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for (auto it = mGroup.begin(); it != mGroup.end(); ++it)
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{
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if (*it == myRank)
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{
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break;
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}
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++groupRank;
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}
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ncclUniqueId id;
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if (myRank == *mGroup.begin())
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{
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ncclGetUniqueId(&id);
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for (auto it = std::next(std::begin(mGroup), 1); it != mGroup.end(); ++it)
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{
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MPICHECK(MPI_Send(&id, sizeof(id), MPI_BYTE, *it, 0, MPI_COMM_WORLD));
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}
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}
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else
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{
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MPI_Status status;
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MPICHECK(MPI_Recv(&id, sizeof(id), MPI_BYTE, *mGroup.begin(), 0, MPI_COMM_WORLD, &status));
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}
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(*commMap)[mGroup] = nullptr;
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NCCLCHECK(ncclCommInitRank(&((*commMap)[mGroup]), mGroup.size(), id, groupRank));
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return 0;
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}
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void AllreducePlugin::terminate() noexcept
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{
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if (mStrategy == AllReduceStrategyType::RING || mStrategy == AllReduceStrategyType::AUTO)
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{
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auto* commMap = getCommMap();
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// [] operator inserts T() if it does not exist
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if (isBuilding() || (*commMap)[mGroup] == nullptr)
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{
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return;
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}
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NCCLCHECK(ncclCommDestroy((*commMap)[mGroup]));
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(*commMap)[mGroup] = nullptr;
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}
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}
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size_t AllreducePlugin::getSerializationSize() const noexcept
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{
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return sizeof(int) * mGroup.size() + sizeof(mType) + sizeof(mStrategy) + sizeof(mCounter);
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}
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void AllreducePlugin::serialize(void* buffer) const noexcept
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{
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char *d = static_cast<char*>(buffer), *a = d;
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write(d, mType);
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write(d, mStrategy);
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write(d, mCounter);
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for (auto it = mGroup.begin(); it != mGroup.end(); ++it)
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{
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write(d, *it);
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}
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assert(d == a + getSerializationSize());
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}
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void AllreducePlugin::destroy() noexcept
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{
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// This gets called when the network containing plugin is destroyed
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delete this;
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}
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///////////////
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AllreducePluginCreator::AllreducePluginCreator()
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{
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// Fill PluginFieldCollection with PluginField arguments metadata
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mPluginAttributes.clear();
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mPluginAttributes.emplace_back(PluginField("group", nullptr, PluginFieldType::kINT32, 1));
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mPluginAttributes.emplace_back(PluginField("type_id", nullptr, PluginFieldType::kINT32, 1));
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mPluginAttributes.emplace_back(PluginField("strategy", nullptr, PluginFieldType::kINT8, 1));
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mPluginAttributes.emplace_back(PluginField("counter", nullptr, PluginFieldType::kINT32, 1));
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mFC.nbFields = mPluginAttributes.size();
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mFC.fields = mPluginAttributes.data();
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}
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const char* AllreducePluginCreator::getPluginName() const noexcept
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{
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return ALLREDUCE_PLUGIN_NAME;
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}
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const char* AllreducePluginCreator::getPluginVersion() const noexcept
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{
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return ALLREDUCE_PLUGIN_VERSION;
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}
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const PluginFieldCollection* AllreducePluginCreator::getFieldNames() noexcept
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{
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return &mFC;
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}
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IPluginV2* AllreducePluginCreator::createPlugin(const char* name, const PluginFieldCollection* fc) noexcept
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{
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const PluginField* fields = fc->fields;
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std::set<int> group;
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nvinfer1::DataType type;
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AllReduceStrategyType strategy;
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int32_t counter;
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// Read configurations from each fields
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for (int i = 0; i < fc->nbFields; ++i)
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{
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const char* attrName = fields[i].name;
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if (!strcmp(attrName, "group"))
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{
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TLLM_CHECK(fields[i].type == PluginFieldType::kINT32);
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const auto* r = static_cast<const int*>(fields[i].data);
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for (int j = 0; j < fields[i].length; ++j)
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{
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group.insert(*r);
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++r;
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}
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}
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else if (!strcmp(attrName, "type_id"))
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{
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TLLM_CHECK(fields[i].type == PluginFieldType::kINT32);
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type = static_cast<nvinfer1::DataType>(*(static_cast<const nvinfer1::DataType*>(fields[i].data)));
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}
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else if (!strcmp(attrName, "strategy"))
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{
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TLLM_CHECK(fields[i].type == PluginFieldType::kINT8);
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strategy = static_cast<AllReduceStrategyType>(*static_cast<const int8_t*>(fields[i].data));
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}
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else if (!strcmp(attrName, "counter"))
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{
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TLLM_CHECK(fields[i].type == PluginFieldType::kINT32);
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counter = *static_cast<const int32_t*>(fields[i].data);
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}
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}
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try
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{
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auto* obj = new AllreducePlugin(group, type, strategy, counter);
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obj->setPluginNamespace(mNamespace.c_str());
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return obj;
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}
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catch (const std::exception& e)
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{
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caughtError(e);
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}
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return nullptr;
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}
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IPluginV2* AllreducePluginCreator::deserializePlugin(
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const char* name, const void* serialData, size_t serialLength) noexcept
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{
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// This object will be deleted when the network is destroyed, which will
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// call AllreducePlugin::destroy()
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try
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{
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auto* obj = new AllreducePlugin(serialData, serialLength);
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obj->setPluginNamespace(mNamespace.c_str());
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return obj;
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}
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catch (const std::exception& e)
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{
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caughtError(e);
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}
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return nullptr;
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}
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