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#ifndef UTIL_NET_H
#define UTIL_NET_H
#include <caffe2/core/operator.h>
namespace caffe2 {
class NetUtil {
public:
NetUtil(NetDef& net, const std::string& name = "") : net(net) {
if (name.size()) {
SetName(name);
}
}
OperatorDef* AddOp(const std::string& name,
const std::vector<std::string>& inputs,
const std::vector<std::string>& outputs);
OperatorDef* AddCreateDbOp(const std::string& reader,
const std::string& db_type,
const std::string& db_path);
OperatorDef* AddTensorProtosDbInputOp(const std::string& reader,
const std::string& data,
const std::string& label,
int batch_size);
OperatorDef* AddCoutOp(const std::vector<std::string>& params);
OperatorDef* AddZeroOneOp(const std::string& pred, const std::string& label);
OperatorDef* AddShowWorstOp(const std::string& pred, const std::string& label,
const std::string& data, float scale = 1.0,
float mean = 128.0);
OperatorDef* AddTimePlotOp(const std::string& data,
const std::string& iter = "",
const std::string& window = "",
const std::string& label = "", int step = 0);
OperatorDef* AddEnsureCpuOutputOp(const std::string& input,
const std::string& output);
OperatorDef* AddCopyFromCpuInputOp(const std::string& input,
const std::string& output);
OperatorDef* AddCopyOp(const std::string& input, const std::string& output);
OperatorDef* AddCreateMutexOp(const std::string& param);
OperatorDef* AddPrintOp(const std::string& param, bool to_file = false);
OperatorDef* AddSummarizeOp(const std::string& param, bool to_file = false);
OperatorDef* AddConstantFillOp(const std::vector<int>& shape,
const std::string& param);
OperatorDef* AddXavierFillOp(const std::vector<int>& shape,
const std::string& param);
OperatorDef* AddMSRAFillOp(const std::vector<int>& shape,
const std::string& param);
OperatorDef* AddUniformFillOp(const std::vector<int>& shape, float min,
float max, const std::string& param);
OperatorDef* AddGausianFillOp(const std::vector<int>& shape, float mean,
float std, const std::string& param);
OperatorDef* AddConstantFillOp(const std::vector<int>& shape, float value,
const std::string& param);
OperatorDef* AddConstantFillOp(const std::vector<int>& shape, int64_t value,
const std::string& param);
OperatorDef* AddConstantFillWithOp(float value, const std::string& input,
const std::string& output);
OperatorDef* AddVectorFillOp(const std::vector<int>& values,
const std::string& name);
OperatorDef* AddGivenTensorFillOp(const TensorCPU& tensor,
const std::string& name);
OperatorDef* AddConvOp(const std::string& input, const std::string& w,
const std::string& b, const std::string& output,
int stride, int padding, int kernel, int group = 0,
const std::string& order = "NCHW");
OperatorDef* AddReluOp(const std::string& input, const std::string& output);
OperatorDef* AddLeakyReluOp(const std::string& input,
const std::string& output, float alpha);
OperatorDef* AddSigmoidOp(const std::string& input,
const std::string& output);
OperatorDef* AddLrnOp(const std::string& input, const std::string& output,
int size, float alpha, float beta, float bias,
const std::string& order = "NCHW");
OperatorDef* AddMaxPoolOp(const std::string& input, const std::string& output,
int stride, int padding, int kernel,
const std::string& order = "NCHW");
OperatorDef* AddAveragePoolOp(const std::string& input,
const std::string& output, int stride,
int padding, int kernel,
const std::string& order = "NCHW");
OperatorDef* AddFcOp(const std::string& input, const std::string& w,
const std::string& b, const std::string& output,
int axis = 1);
OperatorDef* AddDropoutOp(const std::string& input, const std::string& output,
float ratio);
OperatorDef* AddSoftmaxOp(const std::string& input, const std::string& output,
int axis = 1);
OperatorDef* AddConcatOp(const std::vector<std::string>& inputs,
const std::string& output,
const std::string& order = "NCHW");
OperatorDef* AddSpatialBNOp(const std::vector<std::string>& inputs,
const std::vector<std::string>& outputs,
float epsilon = 1e-5f, float momentum = 0.9,
bool test = false,
const std::string& order = "NCHW");
OperatorDef* AddMulOp(const std::vector<std::string>& inputs,
const std::string& output, int axis = 1,
int broadcast = 1);
OperatorDef* AddAddOp(const std::vector<std::string>& inputs,
const std::string& output, int axis = 1,
int broadcast = 1);
OperatorDef* AddLSTMUnitOp(const std::vector<std::string>& inputs,
const std::vector<std::string>& outputs,
int drop_states = 0, float forget_bias = 0.f);
OperatorDef* AddRecurrentNetworkOp(const std::string& seq_lengths,
const std::string& hidden_init,
const std::string& cell_init,
const std::string& scope,
const std::string& hidden_output,
const std::string& cell_state,
bool force_cpu);
OperatorDef* AddAccuracyOp(const std::string& pred, const std::string& label,
const std::string& accuracy, int top_k = 0);
OperatorDef* AddLabelCrossEntropyOp(const std::string& pred,
const std::string& label,
const std::string& xent);
OperatorDef* AddAveragedLossOp(const std::string& input,
const std::string& loss);
OperatorDef* AddDiagonalOp(const std::string& input,
const std::string& diagonal,
const std::vector<int>& offset);
OperatorDef* AddSquaredL2Op(const std::string& input, const std::string& l2);
OperatorDef* AddSquaredL2ChannelOp(const std::string& input,
const std::string& l2, int channel);
OperatorDef* AddBackMeanOp(const std::string& input, const std::string& mean,
int count = 1);
OperatorDef* AddMeanStdevOp(const std::string& input, const std::string& mean,
const std::string& scale);
OperatorDef* AddAffineScaleOp(const std::string& input,
const std::string& mean,
const std::string& scale,
const std::string& transformed,
bool inverse = false);
OperatorDef* AddSliceOp(const std::string& input, const std::string& output,
const std::vector<std::pair<int, int>>& ranges);
OperatorDef* AddReshapeOp(const std::string& input, const std::string& output,
const std::vector<int>& shape);
OperatorDef* AddWeightedSumOp(const std::vector<std::string>& inputs,
const std::string& sum);
OperatorDef* AddSumOp(const std::vector<std::string>& inputs,
const std::string& sum);
OperatorDef* AddMomentumSgdOp(const std::string& param,
const std::string& moment,
const std::string& grad, const std::string& lr);
OperatorDef* AddAdagradOp(const std::string& param, const std::string& moment,
const std::string& grad, const std::string& lr);
OperatorDef* AddAdamOp(const std::string& param,
const std::vector<std::string>& moments,
const std::string& grad, const std::string& lr,
const std::string& iter);
OperatorDef* AddRmsPropOp(const std::string& grad, const std::string& meansq,
const std::string& mom, const std::string& lr,
float decay = 0.9f, float momentum = 0.8f,
float epsilon = 1e-5f);
OperatorDef* AddScaleOp(const std::string& input, const std::string& output,
float scale);
OperatorDef* AddClipOp(const std::string& input, const std::string& output,
float min, float max);
OperatorDef* AddCastOp(const std::string& input, const std::string& output,
TensorProto::DataType type);
OperatorDef* AddStopGradientOp(const std::string& param);
OperatorDef* AddIterOp(const std::string& iter);
OperatorDef* AddAtomicIterOp(const std::string& mutex,
const std::string& iter);
OperatorDef* AddLearningRateOp(const std::string& iter,
const std::string& rate, float base_rate,
float gamma = 0.999f);
OperatorDef* AddCheckpointOp(const std::vector<std::string>& inputs,
int every, const std::string& db_type,
const std::string& db);
void AddInput(const std::string input);
void AddOutput(const std::string output);
const std::string& Input(int i);
const std::string& Output(int i);
void SetName(const std::string name);
void SetType(const std::string type);
void SetFillToTrain();
void SetRenameInplace();
void SetEngineOps(const std::string engine);
OperatorDef* AddGradientOp(OperatorDef& op);
OperatorDef* AddGradientOps(
OperatorDef& op, std::map<std::string, std::pair<int, int>>& split_inputs,
std::map<std::string, std::string>& pass_replace,
std::set<std::string>& stop_inputs);
void AddGradientOps();
void AddGradientOps(NetUtil& target) const;
std::map<std::string, int> CollectParamSizes();
std::vector<std::string> CollectParams();
std::vector<OperatorDef> CollectGradientOps(
std::map<std::string, std::pair<int, int>>& split_inputs) const;
std::set<std::string> CollectLayers(const std::string& layer,
bool forward = false);
void CheckLayerAvailable(const std::string& layer);
std::string Proto();
std::string Short();
void Print();
size_t Write(const std::string& path) const;
size_t WriteText(const std::string& path) const;
size_t WriteGraph(const std::string& path) const;
size_t Read(const std::string& path);
void SetDeviceCUDA();
public:
NetDef& net;
};
} // namespace caffe2
#endif // UTIL_NET_H