text: /*
   * Copyright (c) 2018-2021 Arm Limited.
   *
   * SPDX-License-Identifier: MIT
   *
   * Permission is hereby granted, free of charge, to any person obtaining a copy
   * of this software and associated documentation files (the "Software"), to
   * deal in the Software without restriction, including without limitation the
   * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
   * sell copies of the Software, and to permit persons to whom the Software is
   * furnished to do so, subject to the following conditions:
   *
   * The above copyright notice and this permission notice shall be included in all
   * copies or substantial portions of the Software.
   *
   * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
   * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
   * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
   * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
   * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
   * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
   * SOFTWARE.
   */
  #ifndef ARM_COMPUTE_TEST_ELEMENTWISE_OPERATIONS_FIXTURE
  #define ARM_COMPUTE_TEST_ELEMENTWISE_OPERATIONS_FIXTURE
  
  #include "arm_compute/core/TensorShape.h"
  #include "arm_compute/core/Types.h"
  #include "tests/AssetsLibrary.h"
  #include "tests/Globals.h"
  #include "tests/IAccessor.h"
  #include "tests/framework/Asserts.h"
  #include "tests/framework/Fixture.h"
  #include "tests/validation/Helpers.h"
  #include "tests/validation/reference/ActivationLayer.h"
  #include "tests/validation/reference/ElementwiseOperations.h"
  
  namespace arm_compute
  {
  namespace test
  {
  namespace validation
  {
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ArithmeticOperationsGenericFixture : public framework::Fixture
  {
  public:
      template <typename...>
      void setup(ArithmeticOperation op, const TensorShape &shape0, const TensorShape &shape1,
                 DataType data_type0, DataType data_type1, DataType output_data_type,
                 QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, bool use_dyanmic_shape = false)
      {
          _op                = op;
          _use_dynamic_shape = use_dyanmic_shape;
  
          _target    = compute_target(shape0, shape1, data_type0, data_type1, output_data_type, qinfo0, qinfo1, qinfo_out);
          _reference = compute_reference(shape0, shape1, data_type0, data_type1, output_data_type, qinfo0, qinfo1, qinfo_out);
      }
  
  protected:
      template <typename U>
      void fill(U &&tensor, int i)
      {
          if(is_data_type_float(tensor.data_type()))
          {
              switch(_op)
              {
                  case ArithmeticOperation::DIV:
                      library->fill_tensor_uniform_ranged(tensor, i, { std::pair<float, float>(-0.001f, 0.001f) });
                      break;
                  case ArithmeticOperation::POWER:
                      library->fill_tensor_uniform(tensor, i, 0.0f, 5.0f);
                      break;
                  default:
                      library->fill_tensor_uniform(tensor, i);
              }
          }
          else
          {
              library->fill_tensor_uniform(tensor, i);
          }
      }
  
      TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type,
                                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
      {
          // Create tensors
          TensorType ref_src1 = create_tensor<TensorType>(shape0, data_type0, 1, qinfo0);
          TensorType ref_src2 = create_tensor<TensorType>(shape1, data_type1, 1, qinfo1);
          TensorType dst      = create_tensor<TensorType>(TensorShape::broadcast_shape(shape0, shape1), output_data_type, 1, qinfo_out);
  
          // if _use_dynamic_shape is true, this fixture will test scenario for dynamic shapes.
          // - At configure time, all input tensors are marked as dynamic using set_tensor_dynamic()
          // - After configure, tensors are marked as static for run using set_tensor_static()
          // - The tensors with static shape are given to run()
          if(_use_dynamic_shape)
          {
              set_tensor_dynamic(ref_src1);
              set_tensor_dynamic(ref_src2);
          }
  
          // Create and configure function
          FunctionType elem_op;
          elem_op.configure(&ref_src1, &ref_src2, &dst);
  
          if(_use_dynamic_shape)
          {
              set_tensor_static(ref_src1);
              set_tensor_static(ref_src2);
          }
  
          ARM_COMPUTE_ASSERT(ref_src1.info()->is_resizable());
          ARM_COMPUTE_ASSERT(ref_src2.info()->is_resizable());
          ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
  
          // Allocate tensors
          ref_src1.allocator()->allocate();
          ref_src2.allocator()->allocate();
          dst.allocator()->allocate();
  
          ARM_COMPUTE_ASSERT(!ref_src1.info()->is_resizable());
          ARM_COMPUTE_ASSERT(!ref_src2.info()->is_resizable());
          ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
  
          // Fill tensors
          fill(AccessorType(ref_src1), 0);
          fill(AccessorType(ref_src2), 1);
  
          // Compute function
          elem_op.run();
  
          return dst;
      }
  
      SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1,
                                        DataType data_type0, DataType data_type1, DataType output_data_type,
                                        QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
      {
          // Create reference
          SimpleTensor<T> ref_src1{ shape0, data_type0, 1, qinfo0 };
          SimpleTensor<T> ref_src2{ shape1, data_type1, 1, qinfo1 };
          SimpleTensor<T> ref_dst{ TensorShape::broadcast_shape(shape0, shape1), output_data_type, 1, qinfo_out };
  
          // Fill reference
          fill(ref_src1, 0);
          fill(ref_src2, 1);
  
          return reference::arithmetic_operation<T>(_op, ref_src1, ref_src2, ref_dst);
      }
  
      TensorType          _target{};
      SimpleTensor<T>     _reference{};
      ArithmeticOperation _op{ ArithmeticOperation::ADD };
      bool                _use_dynamic_shape{ false };
  };
  
  // Arithmetic operation fused with activation function
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ArithmeticOperationsFuseActivationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(ArithmeticOperation op, const TensorShape &shape0, const TensorShape &shape1,
                 DataType data_type0, DataType data_type1, DataType output_data_type,
                 QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out, ActivationLayerInfo act_info)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(op, shape0, shape1,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               qinfo0, qinfo1, qinfo_out);
          _act_info = act_info;
      }
  
  protected:
      TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type,
                                QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
      {
          // Create tensors
          TensorType ref_src1 = create_tensor<TensorType>(shape0, data_type0, 1, qinfo0);
          TensorType ref_src2 = create_tensor<TensorType>(shape1, data_type1, 1, qinfo1);
          TensorType dst      = create_tensor<TensorType>(TensorShape::broadcast_shape(shape0, shape1), output_data_type, 1, qinfo_out);
  
          // Create and configure function
          FunctionType elem_op;
          elem_op.configure(&ref_src1, &ref_src2, &dst, _act_info);
  
          ARM_COMPUTE_ASSERT(ref_src1.info()->is_resizable());
          ARM_COMPUTE_ASSERT(ref_src2.info()->is_resizable());
          ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
  
          // Allocate tensors
          ref_src1.allocator()->allocate();
          ref_src2.allocator()->allocate();
          dst.allocator()->allocate();
  
          ARM_COMPUTE_ASSERT(!ref_src1.info()->is_resizable());
          ARM_COMPUTE_ASSERT(!ref_src2.info()->is_resizable());
          ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
  
          // Fill tensors
          fill(AccessorType(ref_src1), 0);
          fill(AccessorType(ref_src2), 1);
  
          // Compute function
          elem_op.run();
  
          return dst;
      }
  
      SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1,
                                        DataType data_type0, DataType data_type1, DataType output_data_type,
                                        QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
      {
          auto result = ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::compute_reference(shape0, shape1, data_type0,
                                                                                                                         data_type1, output_data_type, qinfo0, qinfo1, qinfo_out);
          return _act_info.enabled() ? reference::activation_layer(result, _act_info, qinfo_out) : result;
      }
  
      ActivationLayerInfo _act_info{};
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ArithmeticDivisionBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape0, shape1,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo());
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ArithmeticDivisionValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo());
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ArithmeticDivisionBroadcastDynamicShapeValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape0, shape1,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), true);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ArithmeticDivisionDynamicShapeValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), true);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ArithmeticDivisionBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info)
      {
          ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape0, shape1,
                                                                                                      data_type0, data_type1, output_data_type,
                                                                                                      QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ArithmeticDivisionValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info)
      {
          ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape,
                                                                                                      data_type0, data_type1, output_data_type,
                                                                                                      QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ArithmeticDivisionValidationIntegerFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info)
      {
          ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape,
                                                                                                      data_type0, data_type1, output_data_type,
                                                                                                      QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ArithmeticDivisionValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type,
                 QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
  
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               qinfo0, qinfo1, qinfo_out);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseMaxBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape0, shape1,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo());
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseMaxValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape, shape,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo());
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseMaxBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info)
      {
          ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape0, shape1,
                                                                                                      data_type0, data_type1, output_data_type,
                                                                                                      QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseMaxValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info)
      {
          ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape, shape,
                                                                                                      data_type0, data_type1, output_data_type,
                                                                                                      QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseMaxValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type,
                 QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
  
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape, shape,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               qinfo0, qinfo1, qinfo_out);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseMaxQuantizedBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type,
                 QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
  
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MAX, shape0, shape1,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               qinfo0, qinfo1, qinfo_out);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseMinBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape0, shape1,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo());
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseMinValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape, shape,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo());
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseMinBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info)
      {
          ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape0, shape1,
                                                                                                      data_type0, data_type1, output_data_type,
                                                                                                      QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseMinValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info)
      {
          ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape, shape,
                                                                                                      data_type0, data_type1, output_data_type,
                                                                                                      QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseMinValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type,
                 QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
  
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape, shape,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               qinfo0, qinfo1, qinfo_out);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseMinQuantizedBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type,
                 QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
  
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::MIN, shape0, shape1,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               qinfo0, qinfo1, qinfo_out);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseSquaredDiffBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape0, shape1,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo());
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseSquaredDiffValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape, shape,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo());
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseSquaredDiffBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info)
      {
          ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape0, shape1,
                                                                                                      data_type0, data_type1, output_data_type,
                                                                                                      QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseSquaredDiffValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info)
      {
          ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape, shape,
                                                                                                      data_type0, data_type1, output_data_type,
                                                                                                      QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseSquaredDiffValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type,
                 QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
  
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape, shape,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               qinfo0, qinfo1, qinfo_out);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwiseSquaredDiffQuantizedBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type,
                 QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
  
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::SQUARED_DIFF, shape0, shape1,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               qinfo0, qinfo1, qinfo_out);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class PReluLayerBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::PRELU, shape0, shape1,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo());
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class PReluLayerValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::PRELU, shape, shape,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo());
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class PReluLayerValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type,
                 QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
  
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::PRELU, shape, shape,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               qinfo0, qinfo1, qinfo_out);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class PReluLayerQuantizedBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type,
                 QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out)
  
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::PRELU, shape0, shape1,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               qinfo0, qinfo1, qinfo_out);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwisePowerBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::POWER, shape0, shape1,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo());
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwisePowerValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type)
      {
          ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::POWER, shape, shape,
                                                                                               data_type0, data_type1, output_data_type,
                                                                                               QuantizationInfo(), QuantizationInfo(), QuantizationInfo());
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwisePowerBroadcastValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info)
      {
          ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::POWER, shape0, shape1,
                                                                                                      data_type0, data_type1, output_data_type,
                                                                                                      QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info);
      }
  };
  
  template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
  class ElementwisePowerValidationFloatFixture : public ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>
  {
  public:
      template <typename...>
      void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, ActivationLayerInfo act_info)
      {
          ArithmeticOperationsFuseActivationFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::POWER, shape, shape,
                                                                                                      data_type0, data_type1, output_data_type,
                                                                                                      QuantizationInfo(), QuantizationInfo(), QuantizationInfo(), act_info);
      }
  };
  
  } // namespace validation
  } // namespace test
  } // namespace arm_compute
  #endif /* ARM_COMPUTE_TEST_ARITHMETIC_OPERATIONS_FIXTURE */
  