caffe2_cpp_tutorial/include/caffe2/util/model.h at master · neo-007/caffe2_cpp_tutorial · GitHub

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#ifndef UTIL_MODEL_H
#define UTIL_MODEL_H

#include <caffe2/core/net.h>
#include "caffe2/util/net.h"

class ModelMeta;

namespace caffe2 {

class ModelUtil {
 public:
  ModelUtil(NetDef &init_net, NetDef &predict_net,
            const std::string &name = "");
  ModelUtil(NetUtil &init, NetUtil &predict);
  virtual ~ModelUtil();

  void AddDatabaseOps(const std::string &name, const std::string &data,
                      const std::string &db, const std::string &db_type,
                      int batch_size);
  void AddXentOps(const std::string &output);
  void AddIterOps();

  void AddSgdOps();
  void AddMomentumOps();
  void AddAdagradOps();
  void AddAdamOps();
  void AddRmsPropOps();
  void AddOptimizerOps(std::string &optimizer);

  void AddTestOps(const std::string &output);
  void AddTrainOps(const std::string &output, float base_rate,
                   std::string &optimizer);

  void AddFcOps(const std::string &input, const std::string &output,
                int in_size, int out_size, bool test = false);
  void AddConvOps(const std::string &input, const std::string &output,
                  int in_size, int out_size, int stride, int padding,
                  int kernel, bool test = false);
  void AddSpatialBNOp(const std::string &input, const std::string &output,
                      int size, float epsilon = 1e-5f, float momentum = 0.9,
                      bool test = false);

  std::vector<std::string> Params() { return predict.CollectParams(); }

  void Split(const std::string &layer, ModelUtil &firstModel,
             ModelUtil &secondModel, bool force_cpu, bool inclusive = true);
  void CopyTrain(const std::string &layer, int out_size,
                 ModelUtil &train) const;
  void CopyTest(ModelUtil &test) const;
  void CopyDeploy(ModelUtil &deploy, Workspace &workspace) const;

  size_t Write(const std::string &path_prefix) const;
  size_t Read(const std::string &path_prefix);
  size_t WriteBundle(const std::string &filename) const;
  size_t ReadBundle(const std::string &filename);
  size_t WriteMeta(const std::string &filename) const;
  size_t ReadMeta(const std::string &filename);
  void SetName(const std::string &name);
  void SetDeviceCUDA();
  std::string Short();
  std::string Proto();

  void input_dims(const std::vector<int> &dims);
  std::vector<int> input_dims();
  void output_labels(const std::vector<std::string> &labels);
  std::vector<std::string> output_labels();

 public:
  NetUtil init;
  NetUtil predict;
  ModelMeta *meta;
};

}  // namespace caffe2

#endif  // UTIL_MODEL_H