You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
116 lines
3.9 KiB
116 lines
3.9 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License. */
|
|
|
|
#include "PaddleCAPI.h"
|
|
#include "PaddleCAPIPrivate.h"
|
|
#include "paddle/gserver/gradientmachines/NeuralNetwork.h"
|
|
|
|
#define cast(v) paddle::capi::cast<paddle::capi::CGradientMachine>(v)
|
|
|
|
enum GradientMatchineCreateMode {
|
|
CREATE_MODE_NORMAL = 0,
|
|
CREATE_MODE_TESTING = 4
|
|
};
|
|
|
|
namespace paddle {
|
|
|
|
class MyNeuralNetwork : public NeuralNetwork {
|
|
public:
|
|
MyNeuralNetwork(const std::string& name, NeuralNetwork* network)
|
|
: NeuralNetwork(name, network) {}
|
|
};
|
|
|
|
NeuralNetwork* newCustomNerualNetwork(const std::string& name,
|
|
NeuralNetwork* network) {
|
|
return new MyNeuralNetwork(name, network);
|
|
}
|
|
} // namespace paddle
|
|
|
|
extern "C" {
|
|
int PDGradientMachineCreateForPredict(PD_GradiemtMachine* machine,
|
|
void* modelConfigProtobuf,
|
|
int size) {
|
|
if (modelConfigProtobuf == nullptr) return kPD_NULLPTR;
|
|
paddle::ModelConfig config;
|
|
if (!config.ParseFromArray(modelConfigProtobuf, size) ||
|
|
!config.IsInitialized()) {
|
|
return kPD_PROTOBUF_ERROR;
|
|
}
|
|
|
|
auto ptr = new paddle::capi::CGradientMachine();
|
|
ptr->machine.reset(paddle::GradientMachine::create(
|
|
config, CREATE_MODE_TESTING, {paddle::PARAMETER_VALUE}));
|
|
*machine = ptr;
|
|
return kPD_NO_ERROR;
|
|
}
|
|
|
|
int PDGradientMachineDestroy(PD_GradiemtMachine machine) {
|
|
delete cast(machine);
|
|
return kPD_NO_ERROR;
|
|
}
|
|
|
|
int PDGradientMachineLoadParameterFromDisk(PD_GradiemtMachine machine,
|
|
const char* path) {
|
|
auto m = cast(machine);
|
|
if (m == nullptr || path == nullptr || m->machine == nullptr)
|
|
return kPD_NULLPTR;
|
|
m->machine->loadParameters(path);
|
|
return kPD_NO_ERROR;
|
|
}
|
|
|
|
int PDGradientMachineForward(PD_GradiemtMachine machine,
|
|
PD_Arguments inArgs,
|
|
PD_Arguments outArgs,
|
|
bool isTrain) {
|
|
auto m = cast(machine);
|
|
auto in = paddle::capi::cast<paddle::capi::CArguments>(inArgs);
|
|
auto out = paddle::capi::cast<paddle::capi::CArguments>(outArgs);
|
|
if (m == nullptr || in == nullptr || out == nullptr || m->machine == nullptr)
|
|
return kPD_NULLPTR;
|
|
m->machine->forward(
|
|
in->args, &out->args, isTrain ? paddle::PASS_TRAIN : paddle::PASS_TEST);
|
|
return kPD_NO_ERROR;
|
|
}
|
|
|
|
int PDGradientMachineCreateSharedParam(PD_GradiemtMachine origin,
|
|
void* modelConfigProtobuf,
|
|
int size,
|
|
PD_GradiemtMachine* slave) {
|
|
auto o = cast(origin);
|
|
if (origin == nullptr || slave == nullptr || o->machine == nullptr) {
|
|
return kPD_NULLPTR;
|
|
}
|
|
paddle::ModelConfig config;
|
|
if (!config.ParseFromArray(modelConfigProtobuf, size) ||
|
|
!config.IsInitialized()) {
|
|
return kPD_PROTOBUF_ERROR;
|
|
}
|
|
|
|
std::unique_ptr<paddle::capi::CGradientMachine> ptr(
|
|
new paddle::capi::CGradientMachine());
|
|
auto nn = paddle::NeuralNetwork::create(config);
|
|
nn->init(config,
|
|
[&o](int paramId, paddle::Parameter* param) {
|
|
auto p = o->machine->getParameters()[paramId];
|
|
param->enableSharedType(paddle::PARAMETER_VALUE,
|
|
p->getBuf(paddle::PARAMETER_VALUE));
|
|
},
|
|
{paddle::PARAMETER_VALUE},
|
|
false);
|
|
ptr->machine.reset(nn);
|
|
*slave = ptr.release();
|
|
return kPD_NO_ERROR;
|
|
}
|
|
}
|