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+/*
+ * Copyright (c) 2018-2021, 2023 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_UNARY_FIXTURE
+#define ARM_COMPUTE_TEST_ELEMENTWISE_UNARY_FIXTURE
+
+#include "arm_compute/core/QuantizationInfo.h"
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/Utils.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/reference/ElementwiseUnary.h"
+
+#include <tuple>
+#include <limits>
+#include <type_traits>
+#include <vector>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ElementWiseUnaryValidationFixture : public framework::Fixture
+{
+public:
+    void setup(TensorShape input_shape, DataType input_data_type, bool in_place, ElementWiseUnary op,
+               bool use_dynamic_shape = false, QuantizationInfo qinfo = QuantizationInfo(), QuantizationInfo qinfo_out = QuantizationInfo())
+    {
+        _op                = op;
+        _target            = compute_target(input_shape, input_data_type, in_place, qinfo, qinfo_out);
+        _reference         = compute_reference(input_shape, input_data_type, qinfo, qinfo_out);
+        _use_dynamic_shape = use_dynamic_shape;
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, int i, DataType data_type)
+    {
+        using FloatType             = typename std::conditional < std::is_same<T, half>::value || std::is_floating_point<T>::value, T, float >::type;
+        using FloatDistributionType = typename std::conditional<std::is_same<T, half>::value, arm_compute::utils::uniform_real_distribution_16bit<T>, std::uniform_real_distribution<FloatType>>::type;
+
+        switch(_op)
+        {
+            case ElementWiseUnary::EXP:
+            {
+                switch(data_type)
+                {
+                    case DataType::F32:
+                    {
+                        FloatDistributionType distribution{ FloatType(-86.63f), FloatType(88.36f) };
+                        library->fill(tensor, distribution, i);
+                        break;
+                    }
+
+                    case DataType::F16:
+                    {
+                        FloatDistributionType distribution{ FloatType(-9.00f), FloatType(10.73f) };
+                        library->fill(tensor, distribution, i);
+                        break;
+                    }
+
+                    case DataType::QASYMM8:
+                    case DataType::QASYMM8_SIGNED:
+                        library->fill_tensor_uniform(tensor, i);
+                        break;
+
+                    default:
+                        ARM_COMPUTE_ERROR("Not implemented");
+                }
+
+                break;
+            }
+            case ElementWiseUnary::RSQRT:
+            case ElementWiseUnary::LOG:
+            {
+                // For floating-point data type, the chosen input range is all positive numbers
+                // (i.e. positive and negative zeros are excluded).
+                switch(data_type)
+                {
+                    case DataType::F32:
+                    {
+                        FloatDistributionType distribution{ std::numeric_limits<float>::min(), std::numeric_limits<float>::max() };
+                        library->fill(tensor, distribution, i);
+                        break;
+                    }
+
+                    case DataType::F16:
+                    {
+                        FloatDistributionType distribution{ FloatType(0.00006103515625f), FloatType(65504.0f) };
+                        library->fill(tensor, distribution, i);
+                        break;
+                    }
+
+                    case DataType::QASYMM8:
+                    case DataType::QASYMM8_SIGNED:
+                        library->fill_tensor_uniform(tensor, i);
+                        break;
+
+                    default:
+                        ARM_COMPUTE_ERROR("Not implemented");
+                }
+
+                break;
+            }
+            case ElementWiseUnary::SIN:
+            {
+                switch(data_type)
+                {
+                    case DataType::F32:
+                    case DataType::F16:
+                    {
+                        FloatDistributionType distribution{ FloatType(-100.0f), FloatType(100.0f) };
+                        library->fill(tensor, distribution, i);
+                        break;
+                    }
+
+                    case DataType::S32:
+                    {
+                        std::uniform_int_distribution<int32_t> distribution(std::numeric_limits<int32_t>::lowest(), std::numeric_limits<int32_t>::max());
+                        library->fill(tensor, distribution, i);
+                        break;
+                    }
+
+                    case DataType::QASYMM8:
+                    case DataType::QASYMM8_SIGNED:
+                        library->fill_tensor_uniform(tensor, i);
+                        break;
+
+                    default:
+                        ARM_COMPUTE_ERROR("Not implemented");
+                }
+
+                break;
+            }
+            case ElementWiseUnary::ABS:
+            case ElementWiseUnary::NEG:
+            case ElementWiseUnary::ROUND:
+            {
+                switch(data_type)
+                {
+                    case DataType::F32:
+                    {
+                        FloatDistributionType distribution{ std::numeric_limits<float>::lowest() / 2, std::numeric_limits<float>::max() / 2 };
+                        library->fill(tensor, distribution, i);
+                        break;
+                    }
+
+                    case DataType::F16:
+                    {
+                        FloatDistributionType distribution{ FloatType(-65504.0f), FloatType(65504.0f) };
+                        library->fill(tensor, distribution, i);
+                        break;
+                    }
+
+                    case DataType::S32:
+                    {
+                        std::uniform_int_distribution<int32_t> distribution(std::numeric_limits<int32_t>::lowest(), std::numeric_limits<int32_t>::max());
+                        library->fill(tensor, distribution, i);
+                        break;
+                    }
+
+                    case DataType::QASYMM8:
+                    case DataType::QASYMM8_SIGNED:
+                        library->fill_tensor_uniform(tensor, i);
+                        break;
+
+                    default:
+                        ARM_COMPUTE_ERROR("Not implemented");
+                }
+
+                break;
+            }
+            default:
+                ARM_COMPUTE_ERROR("Not implemented");
+        }
+    }
+
+    TensorType compute_target(const TensorShape &shape, DataType data_type, bool in_place, QuantizationInfo qinfo, QuantizationInfo qinfo_out)
+    {
+        // Create tensors
+        TensorType  src        = create_tensor<TensorType>(shape, data_type, 1, qinfo);
+        TensorType  dst        = create_tensor<TensorType>(shape, data_type, 1, qinfo_out);
+        TensorType *actual_dst = in_place ? &src : &dst;
+
+        // 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(src);
+        }
+
+        // Create and configure function
+        FunctionType elwiseunary_layer;
+        elwiseunary_layer.configure(&src, actual_dst);
+
+        if(_use_dynamic_shape)
+        {
+            set_tensor_static(src);
+        }
+
+        ARM_COMPUTE_ASSERT(src.info()->is_resizable());
+        src.allocator()->allocate();
+        ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
+        if(!in_place)
+        {
+            ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
+            dst.allocator()->allocate();
+            ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
+        }
+
+        // Fill tensors
+        fill(AccessorType(src), 0, data_type);
+
+        // Compute function
+        elwiseunary_layer.run();
+
+        if(in_place)
+        {
+            return src;
+        }
+        else
+        {
+            return dst;
+        }
+    }
+
+    SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, QuantizationInfo qinfo, QuantizationInfo qinfo_out)
+    {
+        // Create reference
+        SimpleTensor<T> src{ shape, data_type, 1, qinfo };
+        SimpleTensor<T> dst{ shape, data_type, 1, qinfo_out };
+
+        // Fill reference
+        fill(src, 0, data_type);
+
+        return reference::elementwise_unary<T>(src, dst, _op);
+    }
+
+    TensorType       _target{};
+    SimpleTensor<T>  _reference{};
+    ElementWiseUnary _op{};
+    bool             _use_dynamic_shape{ false };
+    QuantizationInfo _input_qinfo{};
+    QuantizationInfo _output_qinfo{};
+};
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class RsqrtQuantizedValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type, QuantizationInfo qinfo, QuantizationInfo qinfo_out)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::RSQRT, false, qinfo, qinfo_out);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class RsqrtValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::RSQRT);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class RsqrtDynamicShapeValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::RSQRT, true);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ExpValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::EXP);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ExpQuantizedValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type, QuantizationInfo iq, QuantizationInfo oq)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::EXP, false, iq, oq);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class NegValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::NEG);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class NegQuantizedValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type, QuantizationInfo iq, QuantizationInfo oq)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::NEG, false, iq, oq);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class NegValidationInPlaceFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type, bool in_place)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, in_place, ElementWiseUnary::NEG);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class NegQuantizedValidationInPlaceFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type, bool in_place, QuantizationInfo iq, QuantizationInfo oq)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, in_place, ElementWiseUnary::NEG, false, iq, oq);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class LogValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::LOG);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class LogQuantizedValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type, QuantizationInfo iq, QuantizationInfo oq)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::LOG, false, iq, oq);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class AbsValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::ABS);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class AbsQuantizedValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type, QuantizationInfo iq, QuantizationInfo oq)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::ABS, false, iq, oq);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class SinValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::SIN);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class SinQuantizedValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type, QuantizationInfo iq, QuantizationInfo oq)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::SIN, false, iq, oq);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class RoundValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::ROUND);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class RoundQuantizedValidationFixture : public ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(const TensorShape &shape, DataType data_type, QuantizationInfo iq, QuantizationInfo oq)
+    {
+        ElementWiseUnaryValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, false, ElementWiseUnary::ROUND, false, iq, oq);
+    }
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ELEMENTWISE_UNARY_FIXTURE */