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https://github.com/NVIDIA/TensorRT-LLM.git
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6755a3f077
* Update TensorRT-LLM --------- Co-authored-by: Tltin <TltinDeng01@gmail.com> Co-authored-by: zhaohb <zhaohbcloud@126.com> Co-authored-by: Bradley Heilbrun <brad@repl.it> Co-authored-by: nqbao11 <nqbao11.01@gmail.com> Co-authored-by: Nikhil Varghese <nikhil@bot-it.ai>
130 lines
4.1 KiB
C++
130 lines
4.1 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/ncclCommunicator.h"
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#include "tensorrt_llm/runtime/utils/multiDeviceUtils.h"
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#include <NvInferRuntime.h>
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#include <mpi.h>
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#include <type_traits>
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#if ENABLE_MULTI_DEVICE
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#include <nccl.h>
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#endif // ENABLE_MULTI_DEVICE
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using namespace tensorrt_llm::runtime;
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namespace
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{
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#if ENABLE_MULTI_DEVICE
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//! \brief For converting a C++ data type to a Nccl data type.
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template <typename T>
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struct NcclDataType
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{
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};
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template <>
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struct NcclDataType<half>
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{
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static constexpr auto value = ncclDataType_t::ncclHalf;
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};
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template <>
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struct NcclDataType<float>
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{
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static constexpr auto value = ncclDataType_t::ncclFloat;
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};
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template <>
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struct NcclDataType<std::uint8_t>
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{
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static constexpr auto value = ncclDataType_t::ncclUint8;
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};
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template <>
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struct NcclDataType<std::int32_t>
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{
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static constexpr auto value = ncclDataType_t::ncclInt32;
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};
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#endif // ENABLE_MULTI_DEVICE
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} // namespace
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template <typename T>
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void NcclCommunicator::send(T* sendbuff, size_t count, int peer, CudaStream const& stream) const
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{
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#if ENABLE_MULTI_DEVICE
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auto datatype = NcclDataType<std::remove_cv_t<T>>::value;
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TLLM_NCCL_CHECK(ncclSend(sendbuff, count, datatype, peer, mComm, stream.get()));
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#else
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TLLM_THROW("Multi device support is disabled.");
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#endif // ENABLE_MULTI_DEVICE
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}
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template void NcclCommunicator::send(std::uint8_t*, size_t, int, CudaStream const&) const;
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template void NcclCommunicator::send(std::int32_t*, size_t, int, CudaStream const&) const;
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template void NcclCommunicator::send(std::uint8_t const*, size_t, int, CudaStream const&) const;
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template void NcclCommunicator::send(std::int32_t const*, size_t, int, CudaStream const&) const;
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template void NcclCommunicator::send(float const*, size_t, int, CudaStream const&) const;
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template <typename T>
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void NcclCommunicator::receive(T* sendbuff, size_t count, int peer, CudaStream const& stream) const
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{
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#if ENABLE_MULTI_DEVICE
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auto datatype = NcclDataType<std::remove_cv_t<T>>::value;
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TLLM_NCCL_CHECK(ncclRecv(sendbuff, count, datatype, peer, mComm, stream.get()));
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#else
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TLLM_THROW("Multi device support is disabled.");
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#endif // ENABLE_MULTI_DEVICE
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}
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template void NcclCommunicator::receive(std::uint8_t*, size_t, int, CudaStream const&) const;
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template void NcclCommunicator::receive(std::int32_t*, size_t, int, CudaStream const&) const;
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template void NcclCommunicator::receive(float*, size_t, int, CudaStream const&) const;
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std::shared_ptr<NcclCommunicator> NcclCommunicator::createPipelineComm(WorldConfig const& worldConfig)
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{
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#if ENABLE_MULTI_DEVICE
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int const myRank = worldConfig.getRank();
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int const worldSize = worldConfig.getSize();
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ncclUniqueId id;
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if (myRank == 0)
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{
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ncclGetUniqueId(&id);
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for (auto peer = 1; peer < worldSize; ++peer)
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{
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TLLM_MPI_CHECK(MPI_Send(&id, sizeof(id), MPI_BYTE, peer, 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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auto constexpr peer = 0;
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MPI_Status status;
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TLLM_MPI_CHECK(MPI_Recv(&id, sizeof(id), MPI_BYTE, peer, 0, MPI_COMM_WORLD, &status));
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}
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auto pipelineComm = std::make_shared<NcclCommunicator>();
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TLLM_NCCL_CHECK(ncclCommInitRank(&pipelineComm->mComm, worldSize, id, myRank));
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return pipelineComm;
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#else
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// Python runtime requires instantiation of a communicator even though it may never be used to enable
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// pipeline parallel code-path. To enable this, have an empty communicator with uninitialized state.
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return nullptr;
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#endif // ENABLE_MULTI_DEVICE
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}
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