text: /* Copyright (c) 2018 Baidu, Inc. 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.
  */
  #ifndef ANAKIN_SABER_FUNCS_CAST_H
  #define ANAKIN_SABER_FUNCS_CAST_H
  
  #include "saber/funcs/base.h"
  #include "saber/funcs/impl/impl_base.h"
  
  #ifdef NVIDIA_GPU
  #include "saber/funcs/impl/cuda/saber_cast.h"
  #endif
  
  #ifdef USE_X86_PLACE
  //#include "saber/funcs/impl/x86/saber_activation.h"
  #endif
  
  namespace anakin {
  namespace saber {
  
  template<typename TargetType,
          DataType OpDtype,
          DataType inDtype = AK_FLOAT,
          DataType outDtype = AK_FLOAT,
          typename LayOutType_op = NCHW,
          typename LayOutType_in = NCHW,
          typename LayOutType_out = NCHW
  >
  class Cast : public BaseFunc<
          Tensor<TargetType, inDtype, LayOutType_in>,
          Tensor<TargetType, outDtype, LayOutType_out>,
          Tensor<TargetType, OpDtype, LayOutType_op>,
          ImplBase,
          CastParam
  > {
  public:
      using BaseFunc<
              Tensor<TargetType, inDtype, LayOutType_in>,
              Tensor<TargetType, outDtype, LayOutType_out>,
              Tensor<TargetType, OpDtype, LayOutType_op>,
              ImplBase,
              CastParam>::BaseFunc;
  
      Cast() = default;
  
      typedef Tensor<TargetType, inDtype, LayOutType_in> InDataTensor;
      typedef Tensor<TargetType, outDtype, LayOutType_out> OutDataTensor;
      typedef Tensor<TargetType, OpDtype, LayOutType_op> OpTensor;
      typedef CastParam<OpTensor> Param_t;
      typedef std::vector<InDataTensor *> Input_v;
      typedef std::vector<OutDataTensor *> Output_v;
      typedef std::vector<Shape> Shape_v;
  
      virtual SaberStatus compute_output_shape(const Input_v &input,
                                               Output_v &output, Param_t &param) override {
          Shape output_shape = (input[0]->valid_shape());
          return output[0]->set_shape(output_shape);
      }
  
      virtual SaberStatus init_impl(ImplEnum implenum) override {
          switch (implenum) {
              case VENDER_IMPL:
                  this->_impl.push_back(new VenderCast <TargetType, OpDtype, inDtype, outDtype,
                  LayOutType_op, LayOutType_in, LayOutType_out>);
                  return SaberSuccess;
  
              case SABER_IMPL:
                  this->_impl.push_back(new SaberCast <TargetType, OpDtype, inDtype, outDtype,
                  LayOutType_op, LayOutType_in, LayOutType_out>);
                  return SaberSuccess;
  
              default:
                  return SaberUnImplError;
          }
      }
  
  private:
  
      virtual void pick_best_static() override {
          if (true) // some condition?
              this->_best_impl = this->_impl[0];
      }
  
      virtual void pick_best_specify(ImplEnum implenum) override {
          this->_best_impl = this->_impl[0];
      }
  
  };
  
  } // namespace saber
  } // namespace anakin
  
  
  #endif