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diff --git a/tests/validation/fixtures/Pooling3dLayerFixture.h b/tests/validation/fixtures/Pooling3dLayerFixture.h
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+/*
+ * Copyright (c) 2022-2023 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_POOLING_3D_LAYER_FIXTURE
+#define ARM_COMPUTE_TEST_POOLING_3D_LAYER_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/runtime/Tensor.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/Pooling3dLayer.h"
+#include <random>
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class Pooling3dLayerValidationGenericFixture : public framework::Fixture
+{
+public:
+    void setup(TensorShape shape, Pooling3dLayerInfo pool_info, DataType data_type, QuantizationInfo input_qinfo = QuantizationInfo(), QuantizationInfo output_qinfo = QuantizationInfo())
+    {
+        _target    = compute_target(shape, pool_info, data_type, input_qinfo, output_qinfo);
+        _reference = compute_reference(shape, pool_info, data_type, input_qinfo, output_qinfo);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor)
+    {
+        if(tensor.data_type() == DataType::F32)
+        {
+            std::uniform_real_distribution<float> distribution(-1.0f, 1.0f);
+            library->fill(tensor, distribution, 0);
+        }
+        else if(tensor.data_type() == DataType::F16)
+        {
+            arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f };
+            library->fill(tensor, distribution, 0);
+        }
+        else // data type is quantized_asymmetric
+        {
+            library->fill_tensor_uniform(tensor, 0);
+        }
+    }
+
+    TensorType compute_target(TensorShape shape, Pooling3dLayerInfo info,
+                              DataType data_type, QuantizationInfo input_qinfo, QuantizationInfo output_qinfo)
+    {
+        // Create tensors
+        TensorType        src       = create_tensor<TensorType>(shape, data_type, 1, input_qinfo, DataLayout::NDHWC);
+        const TensorShape dst_shape = misc::shape_calculator::compute_pool3d_shape((src.info()->tensor_shape()), info);
+        TensorType        dst       = create_tensor<TensorType>(dst_shape, data_type, 1, output_qinfo, DataLayout::NDHWC);
+
+        // Create and configure function
+        FunctionType pool_layer;
+        pool_layer.validate(src.info(), dst.info(), info);
+        pool_layer.configure(&src, &dst, info);
+
+        ARM_COMPUTE_ASSERT(src.info()->is_resizable());
+        ARM_COMPUTE_ASSERT(dst.info()->is_resizable());
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_ASSERT(!src.info()->is_resizable());
+        ARM_COMPUTE_ASSERT(!dst.info()->is_resizable());
+
+        // Fill tensors
+        fill(AccessorType(src));
+
+        // Compute function
+        pool_layer.run();
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(TensorShape shape, Pooling3dLayerInfo info, DataType data_type, QuantizationInfo input_qinfo, QuantizationInfo output_qinfo)
+    {
+        // Create reference
+        SimpleTensor<T> src(shape, data_type, 1, input_qinfo, DataLayout::NDHWC);
+        // Fill reference
+        fill(src);
+        return reference::pooling_3d_layer<T>(src, info, output_qinfo);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class Pooling3dLayerValidationFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(TensorShape shape, PoolingType pool_type, Size3D pool_size, Size3D stride, Padding3D padding, bool exclude_padding, DataType data_type)
+    {
+        Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, Pooling3dLayerInfo(pool_type, pool_size, stride, padding, exclude_padding),
+                                                                                                 data_type);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class Pooling3dLayerValidationQuantizedFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(TensorShape shape, PoolingType pool_type, Size3D pool_size, Size3D stride, Padding3D padding, bool exclude_padding, DataType data_type,
+               QuantizationInfo input_qinfo = QuantizationInfo(), QuantizationInfo output_qinfo = QuantizationInfo())
+    {
+        Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, Pooling3dLayerInfo(pool_type, pool_size, stride, padding, exclude_padding),
+                                                                                                 data_type, input_qinfo, output_qinfo);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class Pooling3dLayerGlobalValidationFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(TensorShape shape, PoolingType pool_type, DataType data_type)
+    {
+        Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, Pooling3dLayerInfo(pool_type), data_type);
+    }
+};
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class SpecialPooling3dLayerValidationFixture : public Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
+{
+public:
+    void setup(TensorShape src_shape, Pooling3dLayerInfo pool_info, DataType data_type)
+    {
+        Pooling3dLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(src_shape, pool_info, data_type);
+    }
+};
+
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_POOLING_3D_LAYER_FIXTURE */