text: /* Copyright 2020 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_SELECTORS_SIMPLE_SELECTORS_H_
  #define TENSORFLOW_LITE_DELEGATES_GPU_CL_SELECTORS_SIMPLE_SELECTORS_H_
  
  #include <memory>
  
  #include "tensorflow/lite/delegates/gpu/cl/kernels/gpu_operation.h"
  #include "tensorflow/lite/delegates/gpu/common/operations.h"
  #include "tensorflow/lite/delegates/gpu/common/shape.h"
  #include "tensorflow/lite/delegates/gpu/common/status.h"
  
  namespace tflite {
  namespace gpu {
  namespace cl {
  
  void SelectApplyMask(const OperationDef& op_def, const BHWC& src_shape,
                       const BHWC& mask_shape,
                       std::unique_ptr<GPUOperation>* ptr);
  
  void SelectLSTM(const OperationDef& op_def, std::unique_ptr<GPUOperation>* ptr);
  
  void SelectReLU(const CreationContext& creation_context,
                  const ReLUAttributes& attr, const OperationDef& op_def,
                  std::unique_ptr<GPUOperation>* ptr);
  
  Status SelectPReLU(const PReLUAttributes& attr,
                     const CreationContext& creation_context,
                     const OperationDef& op_def,
                     std::unique_ptr<GPUOperation>* ptr);
  
  void SelectPooling(const Pooling2DAttributes& attr, const OperationDef& op_def,
                     std::unique_ptr<GPUOperation>* ptr);
  
  void SelectMaxUnpooling(const MaxUnpooling2DAttributes& attr,
                          const OperationDef& op_def,
                          std::unique_ptr<GPUOperation>* ptr);
  
  void SelectAdd(const OperationDef& op_def, const std::vector<int>& channels,
                 int dst_channels, std::unique_ptr<GPUOperation>* ptr);
  
  Status SelectResize(const Resize2DAttributes& attr, const OperationDef& op_def,
                      std::unique_ptr<GPUOperation>* ptr);
  
  Status SelectConcat(const ConcatAttributes& attr,
                      const std::vector<int>& channels,
                      const OperationDef& op_def,
                      std::unique_ptr<GPUOperation>* ptr);
  
  void SelectReshape(int src_channels, int dst_channels,
                     const OperationDef& op_def,
                     std::unique_ptr<GPUOperation>* ptr);
  
  void SelectPadding(const PadAttributes& attr, const OperationDef& op_def,
                     std::unique_ptr<GPUOperation>* ptr);
  
  void SelectStridedSlice(const SliceAttributes& attr, const OperationDef& op_def,
                          std::unique_ptr<GPUOperation>* ptr);
  
  Status SelectMean(const MeanAttributes& attr, const OperationDef& op_def,
                    std::unique_ptr<GPUOperation>* ptr);
  
  Status SelectMultiplyScalar(const MultiplyAttributes& attr,
                              const CreationContext& creation_context,
                              const OperationDef& op_def,
                              std::unique_ptr<GPUOperation>* ptr);
  
  Status SelectBroadcastAdd(const AddAttributes& attr,
                            const CreationContext& creation_context,
                            const OperationDef& op_def,
                            std::unique_ptr<GPUOperation>* ptr);
  
  void SelectSoftmax(const BHWC& shape, const OperationDef& op_def,
                     std::unique_ptr<GPUOperation>* ptr);
  
  void SelectTranspose(const TransposeAttributes& attr,
                       const OperationDef& op_def,
                       std::unique_ptr<GPUOperation>* ptr);
  
  }  // namespace cl
  }  // namespace gpu
  }  // namespace tflite
  
  #endif  // TENSORFLOW_LITE_DELEGATES_GPU_CL_SELECTORS_SIMPLE_SELECTORS_H_
  