mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-14 06:27:45 +08:00
b57221b764
* Update TensorRT-LLM --------- Co-authored-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
54 lines
2.3 KiB
C++
54 lines
2.3 KiB
C++
/*
|
|
* Copyright (c) 2022-2024, NVIDIA CORPORATION. All rights reserved.
|
|
*
|
|
* Licensed under the Apache License, Version 2.0 (the "License");
|
|
* you may not use this file except in compliance with the License.
|
|
* You may obtain a copy of the License at
|
|
*
|
|
* http://www.apache.org/licenses/LICENSE-2.0
|
|
*
|
|
* Unless required by applicable law or agreed to in writing, software
|
|
* distributed under the License is distributed on an "AS IS" BASIS,
|
|
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
* See the License for the specific language governing permissions and
|
|
* limitations under the License.
|
|
*/
|
|
|
|
#include "tensorrt_llm/thop/ncclCommunicatorOp.h"
|
|
|
|
#include "tensorrt_llm/runtime/iBuffer.h"
|
|
|
|
namespace tr = tensorrt_llm::runtime;
|
|
|
|
namespace torch_ext
|
|
{
|
|
|
|
NcclCommunicatorOp::NcclCommunicatorOp(int64_t tpSize, int64_t ppSize, int64_t rank)
|
|
: mRank(static_cast<int32_t>(rank))
|
|
{
|
|
mPipelineComm = std::make_shared<tensorrt_llm::runtime::NcclCommunicator>(tpSize * ppSize, rank);
|
|
}
|
|
|
|
void NcclCommunicatorOp::send(th::Tensor tensor, int64_t toRank) const
|
|
{
|
|
auto ptr = static_cast<std::uint8_t*>(tensor.data_ptr());
|
|
size_t const size = tensor.numel() * th::elementSize(th::typeMetaToScalarType(tensor.dtype()));
|
|
tensorrt_llm::runtime::CudaStream cudaStream{at::cuda::getCurrentCUDAStream().stream(), mRank, false};
|
|
mPipelineComm->send(*tr::IBuffer::wrap(ptr, size), static_cast<int>(toRank), cudaStream);
|
|
}
|
|
|
|
void NcclCommunicatorOp::recv(th::Tensor& tensor, int64_t fromRank) const
|
|
{
|
|
auto ptr = static_cast<std::uint8_t*>(tensor.data_ptr());
|
|
size_t const size = tensor.numel() * th::elementSize(th::typeMetaToScalarType(tensor.dtype()));
|
|
tensorrt_llm::runtime::CudaStream cudaStream{at::cuda::getCurrentCUDAStream().stream(), mRank, false};
|
|
mPipelineComm->receive(*tr::IBuffer::wrap(ptr, size), static_cast<int>(fromRank), cudaStream);
|
|
}
|
|
|
|
} // namespace torch_ext
|
|
|
|
static auto trtllmNcclCommunicator = torch::jit::class_<torch_ext::NcclCommunicatorOp>("trtllm", "NcclCommunicatorOp")
|
|
.def(torch::jit::init<int64_t, int64_t, int64_t>())
|
|
.def("send", &torch_ext::NcclCommunicatorOp::send)
|
|
.def("recv", &torch_ext::NcclCommunicatorOp::recv);
|