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97 lines
3.7 KiB
97 lines
3.7 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 <algorithm>
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#include <utility>
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#include <vector>
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#include "paddle/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/lod_tensor.h"
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#include "paddle/fluid/framework/op_registry.h"
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#if defined(PADDLE_WITH_XPU_BKCL)
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#include "paddle/fluid/platform/bkcl_helper.h"
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#include "paddle/fluid/platform/collective_helper.h"
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#endif
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namespace ops = paddle::operators;
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namespace plat = paddle::platform;
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namespace paddle {
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namespace operators {
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template <typename T>
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class BKCLBroadcastOpKernel : 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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PADDLE_ENFORCE_EQ(platform::is_xpu_place(ctx.GetPlace()), true,
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platform::errors::PreconditionNotMet(
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"The place of ExecutionContext should be XPUPlace."));
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#if defined(PADDLE_WITH_XPU_BKCL)
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int dev_id = BOOST_GET_CONST(platform::XPUPlace, ctx.GetPlace()).device;
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int root_dev_id = ctx.Attr<int>("root");
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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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PADDLE_ENFORCE_EQ(
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out->IsInitialized(), true,
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platform::errors::PreconditionNotMet(
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"Currently, the output of broadcast op must be initialized,"
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"because this op can only be an In-Place operation."));
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void* send_recv_buffer = out->mutable_data<T>(ctx.GetPlace());
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PADDLE_ENFORCE_EQ(
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send_recv_buffer, in->data<void>(),
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platform::errors::PreconditionNotMet("Currently, the broadcast op can "
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"only be an In-Place operation."));
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auto& dev_ctx = ctx.template device_context<platform::XPUDeviceContext>();
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auto comm = dev_ctx.bkcl_context();
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auto stream = dev_ctx.x_context()->xpu_stream;
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// TODO(wangxi16): bkcl_broadcast only support float type,
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// need to converted other type to float before broadcasting.
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// Broadcast is equivalent to no type of operation, does not affect
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// correctness.
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// Once bkcl_broadcast support other type, need chang to:
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// BKCLDataType data_type = platform::ToBKCLDataType(in->type());
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BKCLDataType data_type = BKCL_FLOAT;
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size_t scale = sizeof(T) / sizeof(float);
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auto ret = bkcl_broadcast(comm, send_recv_buffer, send_recv_buffer,
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static_cast<size_t>(in->numel()) * scale,
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data_type, root_dev_id, stream);
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PADDLE_ENFORCE_EQ(ret, BKCL_SUCCESS,
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platform::errors::Unavailable("bkcl_broadcast failed"));
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VLOG(3) << "Bcast " << ctx.InputNames("X")[0] << ", (" << in->numel() << ")"
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<< " From " << root_dev_id << " to " << dev_id;
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if (ctx.Attr<bool>("sync_mode")) {
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dev_ctx.Wait();
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}
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#else
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PADDLE_THROW(platform::errors::PreconditionNotMet(
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"PaddlePaddle should compile with XPU."));
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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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REGISTER_OP_XPU_KERNEL(broadcast, ops::BKCLBroadcastOpKernel<float>,
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ops::BKCLBroadcastOpKernel<double>,
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ops::BKCLBroadcastOpKernel<int>,
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ops::BKCLBroadcastOpKernel<int64_t>);
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