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117 lines
3.4 KiB
117 lines
3.4 KiB
/* Copyright (c) 2016 Baidu, Inc. All Rights Reserve.
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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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#pragma once
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#include "paddle/pserver/ParameterClient.h"
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#include "paddle/pserver/ParameterServer.h"
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#include "paddle/parameter/Parameter.h"
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#include <Python.h>
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namespace paddle {
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struct PyObjectDeleter {
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void operator()(PyObject* obj) {
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if (obj) {
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Py_DECREF(obj);
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}
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}
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};
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class ParameterClientPy : public ParameterClient {
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protected:
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typedef std::unique_ptr<PyObject, PyObjectDeleter> PyObjectPtr;
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std::vector<ParameterPtr> parameter_;
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int initArgc_;
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char** initArgv_;
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public:
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ParameterClientPy(std::vector<std::string> configs, int argc,
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std::vector<std::string> argv, bool useGpu) {
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initArgc_ = argc;
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initArgv_ = new char* [argc];
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for (int i = 0; i < argc; i++) {
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initArgv_[i] = new char[argv[i].size()];
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strcpy(initArgv_[i], // NOLINT
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argv[i].c_str()); // NOLINT TODO(yuyang18): use snprintf instead.
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}
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ParameterConfig pyConfig;
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ParameterPtr param;
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for (auto& config : configs) {
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pyConfig.ParseFromString(config);
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param.reset(new Parameter(pyConfig, useGpu));
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parameter_.push_back(param);
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}
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Py_Initialize();
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CHECK(Py_IsInitialized());
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}
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~ParameterClientPy() {
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delete initArgv_;
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Py_Finalize();
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}
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Parameter getParameter(int idx) { return *(parameter_[idx].get()); }
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void initClientPy() {
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initMain(initArgc_, initArgv_);
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CHECK(init(parameter_)) << "Init Client Failed.";
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}
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void setConfigPy(std::string config) {
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OptimizationConfig optConfig;
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optConfig.ParseFromString(config);
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setConfig(optConfig);
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}
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bool inStatusPy(int status) { return inStatus(PServerStatus(status)); }
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void setStatusPy(int status) { setStatus(PServerStatus(status)); }
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void waitForStatusPy(int status) { waitForStatus(PServerStatus(status)); }
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void sendParameterPy(int updateMode, int parameterType, int numSamples,
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real cost, bool sendBackParameter) {
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sendParameter(ParameterUpdateMode(updateMode), ParameterType(parameterType),
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int64_t(numSamples), real(cost), sendBackParameter);
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}
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template <class ProtoIn, class ProtoOut>
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std::string asyncCallPy(const char* serviceName, const char* funcName,
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const std::string in) {
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ProtoIn protoIn;
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ProtoOut protoOut;
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std::mutex waitLock;
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std::string data;
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protoIn.ParseFromString(in);
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waitLock.lock();
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auto callback = [&](ProtoOut* pOut, bool isSuccessful) {
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if (isSuccessful) {
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pOut->SerializeToString(&data);
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} else {
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LOG(INFO) << "Async Talk Failed.";
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}
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waitLock.unlock();
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};
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ubClient_.asyncCall<ProtoIn, ProtoOut>(serviceName, funcName, protoIn,
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&protoOut, callback);
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waitLock.lock();
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protoOut.SerializeToString(&data);
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return data;
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}
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};
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} // namespace paddle
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