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87 lines
3.0 KiB
87 lines
3.0 KiB
/* Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include "paddle/fluid/operators/collective/c_allgather_op.h"
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#include <memory>
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#if defined(PADDLE_WITH_ASCEND_CL)
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#include "paddle/fluid/platform/collective_helper.h"
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#include "paddle/fluid/platform/hccl_helper.h"
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#endif
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namespace paddle {
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namespace operators {
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template <typename T>
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class CAllGatherOpASCENDKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const override {
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#if defined(PADDLE_WITH_ASCEND_CL)
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auto in = ctx.Input<framework::Tensor>("X");
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auto out = ctx.Output<framework::Tensor>("Out");
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hcclDataType_t dtype = platform::ToHCCLDataType(in->type());
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int ring_id = ctx.Attr<int>("ring_id");
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std::string group = std::string(HCOM_GROUP_PREFIX) + std::to_string(ring_id);
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auto place = ctx.GetPlace();
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auto comm = platform::HCCLCommContext::Instance().Get(ring_id, place);
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int nranks = comm->nranks();
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std::string tag = std::to_string(ring_id) + "_" + std::to_string(comm->NextTagId());
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framework::DDim out_dims = in->dims();
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out_dims[0] *= nranks;
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out->mutable_data<T>(out_dims, place);
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int64_t send_numel = in->numel();
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void *send_buff = reinterpret_cast<void*>(const_cast<T*>(in->data<T>()));
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void *recv_buff = reinterpret_cast<void*>(out->data<T>());
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aclrtStream stream = nullptr;
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if (ctx.Attr<bool>("use_calc_stream")) {
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auto dev_ctx = platform::DeviceContextPool::Instance().Get(place);
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stream = static_cast<platform::NPUDeviceContext*>(dev_ctx)->stream();
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} else {
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stream = comm->stream();
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}
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VLOG(3) << "begin hccl allgather, parameter is: "
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<< ", group is " << group
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<< ", ring_id is " << ring_id
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<< ", nranks is " << nranks
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<< ", tag is " << tag;
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PADDLE_ENFORCE_NPU_SUCCESS(platform::dynload::hcom_all_gather(
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tag.c_str(), send_buff, recv_buff, (u64)send_numel, dtype,
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group.c_str(), (void*)stream));
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#else
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PADDLE_THROW(platform::errors::PreconditionNotMet(
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"PaddlePaddle should compile with NPU."));
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#endif
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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namespace plat = paddle::platform;
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REGISTER_OP_NPU_KERNEL(c_allgather,
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ops::CAllGatherOpASCENDKernel<int8_t>,
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ops::CAllGatherOpASCENDKernel<int>,
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ops::CAllGatherOpASCENDKernel<float>,
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ops::CAllGatherOpASCENDKernel<plat::float16>);
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