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98 lines
3.3 KiB
98 lines
3.3 KiB
/* Copyright (c) 2016 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 <future> // NOLINT
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#include <ostream>
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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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#include "paddle/fluid/operators/detail/macros.h"
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#include "paddle/fluid/operators/send_recv_util.h"
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#include "paddle/fluid/platform/profiler.h"
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namespace paddle {
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namespace operators {
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class SendOp : public framework::OperatorBase {
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public:
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SendOp(const std::string& type, const framework::VariableNameMap& inputs,
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const framework::VariableNameMap& outputs,
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const framework::AttributeMap& attrs)
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: OperatorBase(type, inputs, outputs, attrs) {}
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void RunImpl(const framework::Scope& scope,
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const platform::Place& place) const override {
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auto ins = Inputs("X");
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std::vector<std::string> epmap = Attr<std::vector<std::string>>("epmap");
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int sync_send = Attr<int>("sync_mode");
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platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
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auto& ctx = *pool.Get(place);
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distributed::RPCClient* rpc_client =
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distributed::RPCClient::GetInstance<RPCCLIENT_T>();
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for (size_t i = 0; i < ins.size(); i++) {
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if (NeedSend(scope, ins[i])) {
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VLOG(3) << "sending " << ins[i] << " to " << epmap[i];
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// TODO(Yancey1989): we need to use an IO threadpool which has
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// a larger number of threads than the computing threadpool.
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rpc_client->AsyncSendVar(epmap[i], ctx, scope, ins[i]);
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} else {
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VLOG(3) << "don't send no-initialied variable: " << ins[i];
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}
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}
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if (sync_send) {
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PADDLE_ENFORCE(rpc_client->Wait(), "internal error in RPCClient");
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}
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}
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};
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class SendOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() {
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AddInput("X", "(Tensor, SelectedRows) Input variables to be sent")
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.AsDuplicable();
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AddComment(R"DOC(
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Send operator
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This operator will send variables to listen_and_serve op at the parameter server.
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)DOC");
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AddAttr<int>("sync_mode",
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"(int, default 0)"
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"sync send or async send.")
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.SetDefault(0);
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AddAttr<std::vector<std::string>>("epmap",
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"(string vector, default 127.0.0.1:6164)"
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"Server endpoints in the order of input "
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"variables for mapping")
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.SetDefault({"127.0.0.1:6164"});
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}
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};
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class SendOpShapeInference : public framework::InferShapeBase {
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public:
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void operator()(framework::InferShapeContext* ctx) const override {}
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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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REGISTER_OPERATOR(send, ops::SendOp, paddle::framework::EmptyGradOpMaker,
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ops::SendOpMaker, ops::SendOpShapeInference);
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