text: /* Copyright 2019 The TensorFlow 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.
  ==============================================================================*/
  
  #ifndef TENSORFLOW_LITE_DELEGATES_GPU_CL_KERNELS_PRELU_H_
  #define TENSORFLOW_LITE_DELEGATES_GPU_CL_KERNELS_PRELU_H_
  
  #include <string>
  
  #include "tensorflow/lite/delegates/gpu/cl/cl_context.h"
  #include "tensorflow/lite/delegates/gpu/cl/cl_kernel.h"
  #include "tensorflow/lite/delegates/gpu/cl/kernels/flt_type.h"
  #include "tensorflow/lite/delegates/gpu/cl/kernels/gpu_operation.h"
  #include "tensorflow/lite/delegates/gpu/cl/linear_storage.h"
  #include "tensorflow/lite/delegates/gpu/common/data_type.h"
  #include "tensorflow/lite/delegates/gpu/common/operations.h"
  #include "tensorflow/lite/delegates/gpu/common/status.h"
  #include "tensorflow/lite/delegates/gpu/common/tensor.h"
  
  namespace tflite {
  namespace gpu {
  namespace cl {
  
  class PReLU : public ElementwiseOperation {
   public:
    PReLU() = default;
    // Move only
    PReLU(PReLU&& operation);
    PReLU& operator=(PReLU&& operation);
    PReLU(const PReLU&) = delete;
    PReLU& operator=(const PReLU&) = delete;
  
    void SetLinkIndex(int index) override;
    std::string GetCoreCode(const std::string& src, const std::string& z_coord,
                            const std::string& address) const override;
    std::string GetArgsDeclaration() const override;
    Status BindArguments(CLKernel* kernel) override;
  
    friend Status CreatePReLU(const CreationContext& creation_context,
                              const OperationDef& definition,
                              const PReLUAttributes& attr, PReLU* result);
  
   private:
    PReLU(const OperationDef& definition, const PReLUAttributes& attr);
  
    template <DataType T>
    Status UploadParameters(const ::tflite::gpu::Tensor<Linear, T>& parameters,
                            CLContext* context);
  
    FLT clip_;
    LinearStorage alpha_;
  };
  
  Status CreatePReLU(const CreationContext& creation_context,
                     const OperationDef& definition, const PReLUAttributes& attr,
                     PReLU* result);
  
  template <DataType T>
  Status PReLU::UploadParameters(
      const ::tflite::gpu::Tensor<Linear, T>& parameters, CLContext* context) {
    LinearStorageCreateInfo create_info;
    create_info.storage_type =
        DeduceLinearStorageType(definition_.GetPrimaryStorageType());
    create_info.data_type = definition_.GetPrimaryDataType();
    RETURN_IF_ERROR(
        CreateLinearStorage(create_info, parameters, context, &alpha_));
    return OkStatus();
  }
  
  }  // namespace cl
  }  // namespace gpu
  }  // namespace tflite
  
  #endif  // TENSORFLOW_LITE_DELEGATES_GPU_CL_KERNELS_PRELU_H_
  