var_desc.h

/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.

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. */

#pragma once

#include "framework/framework.pb.h"
#include "framework/paddle_mobile_object.h"

namespace paddle_mobile {
namespace framework {

class VarDesc {
 public:
  VarDesc(const proto::VarDesc &desc);

  VarDesc(const VarDesc &var_desc):desc_(var_desc.desc_) {}

  std::string Name() const { return desc_.name(); }

  proto::VarType::Type GetType() const { return desc_.type().type(); }

  bool Persistable() const { return desc_.persistable(); }

  const proto::VarType::ChannelDesc &channel_desc() const {
    switch (desc_.type().type()) {
      case proto::VarType::CHANNEL:
        return desc_.type().channel();
      default:
        break;
    }
  }

  const proto::VarType::TensorDesc &tensor_desc() const {
    switch (desc_.type().type()) {
      case proto::VarType::SELECTED_ROWS:
        return desc_.type().selected_rows();
      case proto::VarType::LOD_TENSOR:
        return desc_.type().lod_tensor().tensor();
      case proto::VarType::LOD_TENSOR_ARRAY:
        return desc_.type().tensor_array().tensor();
      default:
        break;
    }
  }

  proto::VarType::Type GetDataType() const {
    switch (desc_.type().type()) {
      case proto::VarType::CHANNEL:
        return channel_desc().data_type();
        break;
      default:
        return tensor_desc().data_type();
    }
  }

  template <typename T>
  std::vector<T> RepeatedToVector(
      const google::protobuf::RepeatedField<T> &repeated_field) const {
    std::vector<T> ret;
    ret.reserve(repeated_field.size());
    std::copy(repeated_field.begin(), repeated_field.end(),
              std::back_inserter(ret));
    return ret;
  }

  std::vector<int64_t> GetShape() const {
    return this->RepeatedToVector(tensor_desc().dims());
  }

 private:
  proto::VarDesc desc_;
};

}  // namespace framework
}  // namespace paddle_mobile