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+/*
+ * Copyright (c) 2017 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_DEPTHWISE_SEPARABLE_CONVOLUTION_LAYER_FIXTURE
+#define ARM_COMPUTE_TEST_DEPTHWISE_SEPARABLE_CONVOLUTION_LAYER_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/CPP/DepthwiseSeparableConvolutionLayer.h"
+#include "tests/validation/Helpers.h"
+
+#include <random>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class DepthwiseSeparableConvolutionValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape in_shape, TensorShape depthwise_weights_shape, TensorShape depthwise_out_shape, TensorShape pointwise_weights_shape, TensorShape biases_shape, TensorShape output_shape,
+               PadStrideInfo pad_stride_depthwise_info, PadStrideInfo pad_stride_pointwise_info)
+    {
+        _target    = compute_target(in_shape, depthwise_weights_shape, depthwise_out_shape, pointwise_weights_shape, biases_shape, output_shape, pad_stride_depthwise_info, pad_stride_pointwise_info);
+        _reference = compute_reference(in_shape, depthwise_weights_shape, depthwise_out_shape, pointwise_weights_shape, biases_shape, output_shape, pad_stride_depthwise_info, pad_stride_pointwise_info);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, int i)
+    {
+        switch(tensor.data_type())
+        {
+            case DataType::F32:
+            {
+                std::uniform_real_distribution<> distribution(-1.0f, 1.0f);
+                library->fill(tensor, distribution, i);
+                break;
+            }
+            default:
+                library->fill_tensor_uniform(tensor, i);
+        }
+    }
+
+    TensorType compute_target(const TensorShape &input_shape, const TensorShape &depthwise_weights_shape, const TensorShape &depthwise_out_shape, const TensorShape &pointwise_weights_shape,
+                              const TensorShape &biases_shape,
+                              const TensorShape &output_shape, const PadStrideInfo &pad_stride_depthwise_info, const PadStrideInfo &pad_stride_pointwise_info)
+    {
+        // Create tensors
+        TensorType src               = create_tensor<TensorType>(input_shape, DataType::F32);
+        TensorType depthwise_weights = create_tensor<TensorType>(depthwise_weights_shape, DataType::F32);
+        TensorType depthwise_out     = create_tensor<TensorType>(depthwise_out_shape, DataType::F32);
+        TensorType pointwise_weights = create_tensor<TensorType>(pointwise_weights_shape, DataType::F32);
+        TensorType biases            = create_tensor<TensorType>(biases_shape, DataType::F32);
+        TensorType dst               = create_tensor<TensorType>(output_shape, DataType::F32);
+
+        // Create Depthwise Separable Convolution Layer configure function
+        CLDepthwiseSeparableConvolutionLayer depthwise_separable_convolution_layer;
+        depthwise_separable_convolution_layer.configure(&src, &depthwise_weights, &depthwise_out, &pointwise_weights, &biases, &dst, pad_stride_depthwise_info, pad_stride_pointwise_info);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        depthwise_weights.allocator()->allocate();
+        depthwise_out.allocator()->allocate();
+        pointwise_weights.allocator()->allocate();
+        biases.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!depthwise_weights.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!depthwise_out.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!pointwise_weights.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!biases.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Fill tensors
+        fill(AccessorType(src), 0);
+        fill(AccessorType(depthwise_weights), 1);
+        fill(AccessorType(pointwise_weights), 2);
+        fill(AccessorType(biases), 3);
+
+        // Compute function
+        depthwise_separable_convolution_layer.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(const TensorShape &in_shape, const TensorShape &depthwise_weights_shape, const TensorShape &depthwise_out_shape, const TensorShape &pointwise_weights_shape,
+                                      const TensorShape &biases_shape, const TensorShape &dst_shape, const PadStrideInfo &pad_stride_depthwise_info, const PadStrideInfo &pad_stride_pointwise_info)
+    {
+        SimpleTensor<T> src(in_shape, DataType::F32);
+        SimpleTensor<T> depthwise_weights(depthwise_weights_shape, DataType::F32);
+        SimpleTensor<T> pointwise_weights(pointwise_weights_shape, DataType::F32);
+        SimpleTensor<T> biases(biases_shape, DataType::F32);
+
+        fill(src, 0);
+        fill(depthwise_weights, 1);
+        fill(pointwise_weights, 2);
+        fill(biases, 3);
+
+        return reference::depthwise_separable_convolution_layer(src, depthwise_weights, depthwise_out_shape, pointwise_weights, biases, dst_shape, pad_stride_depthwise_info, pad_stride_pointwise_info);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_DEPTHWISE_SEPARABLE_CONVOLUTION_LAYER_FIXTURE */