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96 lines
3.4 KiB
96 lines
3.4 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 <ostream>
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#include "paddle/framework/data_type.h"
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#include "paddle/framework/framework.pb.h"
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#include "paddle/framework/lod_tensor.h"
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#include "paddle/framework/op_registry.h"
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#include "paddle/operators/detail/send_recv_impl.h"
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#include "paddle/operators/detail/simple_block_queue.h"
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namespace paddle {
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namespace operators {
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// TODO(typhoonzero): this is a simple implementation which only send
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// one tensor
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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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// init client when the operator is created at runtime.
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std::vector<std::string> endpoints =
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Attr<std::vector<std::string>>("endpoints");
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for (auto ep : endpoints) {
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client_map_[ep].reset(new detail::RPCClient(
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grpc::CreateChannel(ep, grpc::InsecureChannelCredentials())));
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}
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}
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void Run(const framework::Scope &scope,
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const platform::DeviceContext &dev_ctx) 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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// TODO(typhoonzero): use async calls to send multiple variable asyncly.
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for (size_t i = 0; i < ins.size(); ++i) {
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bool ret = client_map_[epmap[i]]->SendVariable(scope, ins[i]);
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if (!ret) {
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LOG(ERROR) << "send variable error: " << ins[i];
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}
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}
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// TODO(typhoonzero): support async optimization
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client_map_[epmap[0]]->Wait();
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for (size_t i = 0; i < ins.size(); ++i) {
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bool ret = client_map_[epmap[i]]->GetVariable(scope, ins[i]);
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if (!ret) {
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LOG(ERROR) << "GetVariable error: " << ins[i];
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}
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}
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}
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protected:
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mutable std::unordered_map<std::string, std::shared_ptr<detail::RPCClient>>
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client_map_;
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};
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class SendOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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SendOpMaker(OpProto *proto, OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X", "(Tensor) Input tensor to be send").AsDuplicable();
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AddComment(R"DOC(
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Recv operator
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This operator will recv tensor from send_op
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)DOC");
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AddAttr<std::vector<std::string>>("endpoints",
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"(string vector, default 127.0.0.1:6164)"
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"Server endpoints to send variables to.");
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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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}
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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, ops::SendOpMaker);
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