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_CONCAT_Z_H_
  #define TENSORFLOW_LITE_DELEGATES_GPU_CL_KERNELS_CONCAT_Z_H_
  
  #include <vector>
  
  #include "tensorflow/lite/delegates/gpu/cl/cl_kernel.h"
  #include "tensorflow/lite/delegates/gpu/cl/kernels/gpu_operation.h"
  #include "tensorflow/lite/delegates/gpu/cl/tensor.h"
  #include "tensorflow/lite/delegates/gpu/common/status.h"
  #include "tensorflow/lite/delegates/gpu/common/types.h"
  
  namespace tflite {
  namespace gpu {
  namespace cl {
  
  class ConcatZ : public GPUOperation {
   public:
    ConcatZ(const OperationDef& definition, const std::vector<int>& channels)
        : GPUOperation(definition), channels_(channels) {}
    absl::Status Compile(const CreationContext& creation_context) override;
    int3 GetGridSize() const override;
  
    // Move only
    ConcatZ(ConcatZ&& kernel);
    ConcatZ& operator=(ConcatZ&& kernel);
    ConcatZ(const ConcatZ&) = delete;
    ConcatZ& operator=(const ConcatZ&) = delete;
  
   private:
    std::string GetConcatKernelCode(const OperationDef& op_def,
                                    const std::vector<int>& channels);
  
    std::vector<int> channels_;
  };
  
  ConcatZ CreateConcatZ(const OperationDef& definition,
                        const std::vector<int>& channels);
  
  }  // namespace cl
  }  // namespace gpu
  }  // namespace tflite
  
  #endif  // TENSORFLOW_LITE_DELEGATES_GPU_CL_KERNELS_CONCAT_Z_H_
  