COMPMID-415: Rename and move tests

The boost validation is now "standalone" in validation_old and builds as
arm_compute_validation_old. The new validation builds now as
arm_compute_validation.

Change-Id: Ib93ba848a25680ac60afb92b461d574a0757150d
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/86187
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

13 files changed, 1154 insertions, 0 deletions

diff --git a/tests/benchmark/fixtures/ActivationLayerFixture.h b/tests/benchmark/fixtures/ActivationLayerFixture.h
new file mode 100644
index 0000000000..9ded063a37
--- /dev/null
+++ b/tests/benchmark/fixtures/ActivationLayerFixture.h
@@ -0,0 +1,82 @@
+/*
+ * 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_ACTIVATIONLAYERFIXTURE
+#define ARM_COMPUTE_TEST_ACTIVATIONLAYERFIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor>
+class ActivationLayerFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, ActivationLayerInfo info, DataType data_type, int batches)
+    {
+        // Set batched in source and destination shapes
+        shape.set(shape.num_dimensions(), batches);
+
+        // Create tensors
+        const int fixed_point_position = 4;
+        src                            = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position);
+        dst                            = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position);
+
+        // Create and configure function
+        act_layer.configure(&src, &dst, info);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(src), 0);
+    }
+
+    void run()
+    {
+        act_layer.run();
+    }
+
+    void teardown()
+    {
+        src.allocator()->free();
+        dst.allocator()->free();
+    }
+
+private:
+    TensorType src{};
+    TensorType dst{};
+    Function   act_layer{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ACTIVATIONLAYERFIXTURE */
diff --git a/tests/benchmark/fixtures/AlexNetFixture.h b/tests/benchmark/fixtures/AlexNetFixture.h
new file mode 100644
index 0000000000..961f4e889f
--- /dev/null
+++ b/tests/benchmark/fixtures/AlexNetFixture.h
@@ -0,0 +1,89 @@
+/*
+ * 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_ALEXNETFIXTURE
+#define ARM_COMPUTE_TEST_ALEXNETFIXTURE
+
+#include "tests/AssetsLibrary.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+#include "tests/networks/AlexNetNetwork.h"
+
+namespace arm_compute
+{
+namespace test
+{
+template <typename ITensorType,
+          typename TensorType,
+          typename SubTensorType,
+          typename Accessor,
+          typename ActivationLayerFunction,
+          typename ConvolutionLayerFunction,
+          typename DirectConvolutionLayerFunction,
+          typename FullyConnectedLayerFunction,
+          typename NormalizationLayerFunction,
+          typename PoolingLayerFunction,
+          typename SoftmaxLayerFunction>
+
+class AlexNetFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(DataType data_type, int batches)
+    {
+        constexpr bool weights_reshaped     = true;
+        constexpr int  fixed_point_position = 4;
+
+        network.init(data_type, fixed_point_position, batches, weights_reshaped);
+        network.build();
+        network.allocate();
+        network.fill_random();
+    }
+
+    void run()
+    {
+        network.run();
+    }
+
+    void teardown()
+    {
+        network.clear();
+    }
+
+private:
+    networks::AlexNetNetwork<ITensorType,
+             TensorType,
+             SubTensorType,
+             Accessor,
+             ActivationLayerFunction,
+             ConvolutionLayerFunction,
+             DirectConvolutionLayerFunction,
+             FullyConnectedLayerFunction,
+             NormalizationLayerFunction,
+             PoolingLayerFunction,
+             SoftmaxLayerFunction>
+             network{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ALEXNETFIXTURE */
diff --git a/tests/benchmark/fixtures/BatchNormalizationLayerFixture.h b/tests/benchmark/fixtures/BatchNormalizationLayerFixture.h
new file mode 100644
index 0000000000..79dbc76300
--- /dev/null
+++ b/tests/benchmark/fixtures/BatchNormalizationLayerFixture.h
@@ -0,0 +1,102 @@
+/*
+ * 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_BATCHNORMALIZATIONLAYERFIXTURE
+#define ARM_COMPUTE_TEST_BATCHNORMALIZATIONLAYERFIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor>
+class BatchNormalizationLayerFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape tensor_shape, TensorShape param_shape, float epsilon, DataType data_type, int batches)
+    {
+        // Set batched in source and destination shapes
+        const unsigned int fixed_point_position = 4;
+        tensor_shape.set(tensor_shape.num_dimensions(), batches);
+
+        // Create tensors
+        src      = create_tensor<TensorType>(tensor_shape, data_type, 1, fixed_point_position);
+        dst      = create_tensor<TensorType>(tensor_shape, data_type, 1, fixed_point_position);
+        mean     = create_tensor<TensorType>(param_shape, data_type, 1, fixed_point_position);
+        variance = create_tensor<TensorType>(param_shape, data_type, 1, fixed_point_position);
+        beta     = create_tensor<TensorType>(param_shape, data_type, 1, fixed_point_position);
+        gamma    = create_tensor<TensorType>(param_shape, data_type, 1, fixed_point_position);
+
+        // Create and configure function
+        batch_norm_layer.configure(&src, &dst, &mean, &variance, &beta, &gamma, epsilon);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+        mean.allocator()->allocate();
+        variance.allocator()->allocate();
+        beta.allocator()->allocate();
+        gamma.allocator()->allocate();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(src), 0);
+        library->fill_tensor_uniform(Accessor(mean), 1);
+        library->fill_tensor_uniform(Accessor(variance), 2);
+        library->fill_tensor_uniform(Accessor(beta), 3);
+        library->fill_tensor_uniform(Accessor(gamma), 4);
+    }
+
+    void run()
+    {
+        batch_norm_layer.run();
+    }
+
+    void teardown()
+    {
+        src.allocator()->free();
+        dst.allocator()->free();
+        mean.allocator()->free();
+        variance.allocator()->free();
+        beta.allocator()->free();
+        gamma.allocator()->free();
+    }
+
+private:
+    TensorType src{};
+    TensorType dst{};
+    TensorType mean{};
+    TensorType variance{};
+    TensorType beta{};
+    TensorType gamma{};
+    Function   batch_norm_layer{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_BATCHNORMALIZATIONLAYERFIXTURE */
diff --git a/tests/benchmark/fixtures/ConvolutionLayerFixture.h b/tests/benchmark/fixtures/ConvolutionLayerFixture.h
new file mode 100644
index 0000000000..fd508d4500
--- /dev/null
+++ b/tests/benchmark/fixtures/ConvolutionLayerFixture.h
@@ -0,0 +1,93 @@
+/*
+ * 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_CONVOLUTIONLAYERFIXTURE
+#define ARM_COMPUTE_TEST_CONVOLUTIONLAYERFIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor>
+class ConvolutionLayerFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape src_shape, TensorShape weights_shape, TensorShape biases_shape, TensorShape dst_shape, PadStrideInfo info, DataType data_type, int batches)
+    {
+        // Set batched in source and destination shapes
+        const unsigned int fixed_point_position = 4;
+        src_shape.set(3 /* batch */, batches);
+        dst_shape.set(3 /* batch */, batches);
+
+        // Create tensors
+        src     = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position);
+        weights = create_tensor<TensorType>(weights_shape, data_type, 1, fixed_point_position);
+        biases  = create_tensor<TensorType>(biases_shape, data_type, 1, fixed_point_position);
+        dst     = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position);
+
+        // Create and configure function
+        conv_layer.configure(&src, &weights, &biases, &dst, info);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        weights.allocator()->allocate();
+        biases.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(src), 0);
+        library->fill_tensor_uniform(Accessor(weights), 1);
+        library->fill_tensor_uniform(Accessor(biases), 2);
+    }
+
+    void run()
+    {
+        conv_layer.run();
+    }
+
+    void teardown()
+    {
+        src.allocator()->free();
+        weights.allocator()->free();
+        biases.allocator()->free();
+        dst.allocator()->free();
+    }
+
+private:
+    TensorType src{};
+    TensorType weights{};
+    TensorType biases{};
+    TensorType dst{};
+    Function   conv_layer{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_CONVOLUTIONLAYERFIXTURE */
diff --git a/tests/benchmark/fixtures/DepthwiseConvolutionFixture.h b/tests/benchmark/fixtures/DepthwiseConvolutionFixture.h
new file mode 100644
index 0000000000..e080fe253b
--- /dev/null
+++ b/tests/benchmark/fixtures/DepthwiseConvolutionFixture.h
@@ -0,0 +1,88 @@
+/*
+ * 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_DEPTHWISECONVOLUTIONFIXTURE
+#define ARM_COMPUTE_TEST_DEPTHWISECONVOLUTIONFIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor>
+class DepthwiseConvolutionFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape src_shape, TensorShape weights_shape, TensorShape dst_shape, PadStrideInfo info, DataType data_type, int batches)
+    {
+        // Set batched in source and destination shapes
+        const unsigned int fixed_point_position = 4;
+        src_shape.set(3 /* batch */, batches);
+        dst_shape.set(3 /* batch */, batches);
+
+        // Create tensors
+        src     = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position);
+        weights = create_tensor<TensorType>(weights_shape, data_type, 1, fixed_point_position);
+        dst     = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position);
+
+        // Create and configure function
+        depth_conv.configure(&src, &dst, &weights, info);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        weights.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(src), 0);
+        library->fill_tensor_uniform(Accessor(weights), 1);
+    }
+
+    void run()
+    {
+        depth_conv.run();
+    }
+
+    void teardown()
+    {
+        src.allocator()->free();
+        weights.allocator()->free();
+        dst.allocator()->free();
+    }
+
+private:
+    TensorType src{};
+    TensorType weights{};
+    TensorType dst{};
+    Function   depth_conv{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_DEPTHWISECONVOLUTIONFIXTURE */
diff --git a/tests/benchmark/fixtures/DepthwiseSeparableConvolutionLayerFixture.h b/tests/benchmark/fixtures/DepthwiseSeparableConvolutionLayerFixture.h
new file mode 100644
index 0000000000..928b0c7328
--- /dev/null
+++ b/tests/benchmark/fixtures/DepthwiseSeparableConvolutionLayerFixture.h
@@ -0,0 +1,103 @@
+/*
+ * 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_DEPTHWISESEPARABLECONVOLUTIONLAYERFIXTURE
+#define ARM_COMPUTE_TEST_DEPTHWISESEPARABLECONVOLUTIONLAYERFIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor>
+class DepthwiseSeparableConvolutionLayerFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape src_shape, TensorShape depthwise_weights_shape, TensorShape depthwise_out_shape, TensorShape pointwise_weights_shape, TensorShape biases_shape, TensorShape dst_shape,
+               PadStrideInfo pad_stride_depthwise_info, PadStrideInfo pad_stride_pointwise_info, DataType data_type, int batches)
+    {
+        // Set batched in source and destination shapes
+        const unsigned int fixed_point_position = 4;
+        src_shape.set(3 /* batch */, batches);
+        depthwise_out_shape.set(3 /* batch */, batches);
+        dst_shape.set(3 /* batch */, batches);
+
+        src               = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position);
+        depthwise_weights = create_tensor<TensorType>(depthwise_weights_shape, data_type, 1, fixed_point_position);
+        depthwise_out     = create_tensor<TensorType>(depthwise_out_shape, data_type, 1, fixed_point_position);
+        pointwise_weights = create_tensor<TensorType>(pointwise_weights_shape, data_type, 1, fixed_point_position);
+        biases            = create_tensor<TensorType>(biases_shape, data_type, 1, fixed_point_position);
+        dst               = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position);
+
+        // Create and configure function
+        depth_sep_conv_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();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(src), 0);
+        library->fill_tensor_uniform(Accessor(depthwise_weights), 1);
+        library->fill_tensor_uniform(Accessor(pointwise_weights), 2);
+        library->fill_tensor_uniform(Accessor(biases), 3);
+    }
+
+    void run()
+    {
+        depth_sep_conv_layer.run();
+    }
+
+    void teardown()
+    {
+        src.allocator()->free();
+        depthwise_weights.allocator()->free();
+        depthwise_out.allocator()->free();
+        pointwise_weights.allocator()->free();
+        biases.allocator()->free();
+        dst.allocator()->free();
+    }
+
+private:
+    TensorType src{};
+    TensorType depthwise_weights{};
+    TensorType depthwise_out{};
+    TensorType pointwise_weights{};
+    TensorType biases{};
+    TensorType dst{};
+    Function   depth_sep_conv_layer{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_DEPTHWISESEPARABLECONVOLUTIONLAYERFIXTURE */
diff --git a/tests/benchmark/fixtures/FloorFixture.h b/tests/benchmark/fixtures/FloorFixture.h
new file mode 100644
index 0000000000..8de87b886b
--- /dev/null
+++ b/tests/benchmark/fixtures/FloorFixture.h
@@ -0,0 +1,78 @@
+/*
+ * 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_FLOORFIXTURE
+#define ARM_COMPUTE_TEST_FLOORFIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor>
+class FloorFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type)
+    {
+        // Create tensors
+        src = create_tensor<TensorType>(shape, data_type);
+        dst = create_tensor<TensorType>(shape, data_type);
+
+        // Create and configure function
+        floor_func.configure(&src, &dst);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(src), 0);
+    }
+
+    void run()
+    {
+        floor_func.run();
+    }
+
+    void teardown()
+    {
+        src.allocator()->free();
+        dst.allocator()->free();
+    }
+
+private:
+    TensorType src{};
+    TensorType dst{};
+    Function   floor_func{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_FLOORFIXTURE */
diff --git a/tests/benchmark/fixtures/FullyConnectedLayerFixture.h b/tests/benchmark/fixtures/FullyConnectedLayerFixture.h
new file mode 100644
index 0000000000..2d1f2334b6
--- /dev/null
+++ b/tests/benchmark/fixtures/FullyConnectedLayerFixture.h
@@ -0,0 +1,93 @@
+/*
+ * 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_FULLYCONNECTEDLAYERFIXTURE
+#define ARM_COMPUTE_TEST_FULLYCONNECTEDLAYERFIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor>
+class FullyConnectedLayerFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape src_shape, TensorShape weights_shape, TensorShape biases_shape, TensorShape dst_shape, DataType data_type, int batches)
+    {
+        // Set batched in source and destination shapes
+        const unsigned int fixed_point_position = 4;
+        src_shape.set(src_shape.num_dimensions() /* batch */, batches);
+        dst_shape.set(dst_shape.num_dimensions() /* batch */, batches);
+
+        // Create tensors
+        src     = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position);
+        weights = create_tensor<TensorType>(weights_shape, data_type, 1, fixed_point_position);
+        biases  = create_tensor<TensorType>(biases_shape, data_type, 1, fixed_point_position);
+        dst     = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position);
+
+        // Create and configure function
+        fc_layer.configure(&src, &weights, &biases, &dst);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        weights.allocator()->allocate();
+        biases.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(src), 0);
+        library->fill_tensor_uniform(Accessor(weights), 1);
+        library->fill_tensor_uniform(Accessor(biases), 2);
+    }
+
+    void run()
+    {
+        fc_layer.run();
+    }
+
+    void teardown()
+    {
+        src.allocator()->free();
+        weights.allocator()->free();
+        biases.allocator()->free();
+        dst.allocator()->free();
+    }
+
+private:
+    TensorType src{};
+    TensorType weights{};
+    TensorType biases{};
+    TensorType dst{};
+    Function   fc_layer{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_FULLYCONNECTEDLAYERFIXTURE */
diff --git a/tests/benchmark/fixtures/GEMMFixture.h b/tests/benchmark/fixtures/GEMMFixture.h
new file mode 100644
index 0000000000..0c41c67af1
--- /dev/null
+++ b/tests/benchmark/fixtures/GEMMFixture.h
@@ -0,0 +1,89 @@
+/*
+ * 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_GEMMFIXTURE
+#define ARM_COMPUTE_TEST_GEMMFIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor>
+class GEMMFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape_a, TensorShape shape_b, TensorShape shape_c, TensorShape shape_dst, float alpha, float beta, DataType data_type)
+    {
+        constexpr int fixed_point_position = 4;
+
+        // Create tensors
+        a   = create_tensor<TensorType>(shape_a, data_type, 1, fixed_point_position);
+        b   = create_tensor<TensorType>(shape_b, data_type, 1, fixed_point_position);
+        c   = create_tensor<TensorType>(shape_c, data_type, 1, fixed_point_position);
+        dst = create_tensor<TensorType>(shape_dst, data_type, 1, fixed_point_position);
+
+        // Create and configure function
+        gemm.configure(&a, &b, &c, &dst, alpha, beta);
+
+        // Allocate tensors
+        a.allocator()->allocate();
+        b.allocator()->allocate();
+        c.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        library->fill_tensor_uniform(Accessor(a), 0);
+        library->fill_tensor_uniform(Accessor(b), 1);
+        library->fill_tensor_uniform(Accessor(c), 2);
+    }
+
+    void run()
+    {
+        gemm.run();
+    }
+
+    void teardown()
+    {
+        a.allocator()->free();
+        b.allocator()->free();
+        c.allocator()->free();
+        dst.allocator()->free();
+    }
+
+private:
+    TensorType a{};
+    TensorType b{};
+    TensorType c{};
+    TensorType dst{};
+    Function   gemm{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GEMMFIXTURE */
diff --git a/tests/benchmark/fixtures/LeNet5Fixture.h b/tests/benchmark/fixtures/LeNet5Fixture.h
new file mode 100644
index 0000000000..77a09d3025
--- /dev/null
+++ b/tests/benchmark/fixtures/LeNet5Fixture.h
@@ -0,0 +1,77 @@
+/*
+ * 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_LENET5FIXTURE
+#define ARM_COMPUTE_TEST_LENET5FIXTURE
+
+#include "tests/AssetsLibrary.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+#include "tests/networks/LeNet5Network.h"
+
+namespace arm_compute
+{
+namespace test
+{
+template <typename TensorType,
+          typename Accessor,
+          typename ActivationLayerFunction,
+          typename ConvolutionLayerFunction,
+          typename FullyConnectedLayerFunction,
+          typename PoolingLayerFunction,
+          typename SoftmaxLayerFunction>
+class LeNet5Fixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(int batches)
+    {
+        network.init(batches);
+        network.build();
+        network.allocate();
+        network.fill_random();
+    }
+
+    void run()
+    {
+        network.run();
+    }
+
+    void teardown()
+    {
+        network.clear();
+    }
+
+private:
+    networks::LeNet5Network<TensorType,
+             Accessor,
+             ActivationLayerFunction,
+             ConvolutionLayerFunction,
+             FullyConnectedLayerFunction,
+             PoolingLayerFunction,
+             SoftmaxLayerFunction>
+             network{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_LENET5FIXTURE */
diff --git a/tests/benchmark/fixtures/NormalizationLayerFixture.h b/tests/benchmark/fixtures/NormalizationLayerFixture.h
new file mode 100644
index 0000000000..41dd8a7b27
--- /dev/null
+++ b/tests/benchmark/fixtures/NormalizationLayerFixture.h
@@ -0,0 +1,82 @@
+/*
+ * 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_NORMALIZATIONLAYERFIXTURE
+#define ARM_COMPUTE_TEST_NORMALIZATIONLAYERFIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor>
+class NormalizationLayerFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, NormalizationLayerInfo info, DataType data_type, int batches)
+    {
+        // Set batched in source and destination shapes
+        const unsigned int fixed_point_position = 4;
+        shape.set(shape.num_dimensions(), batches);
+
+        // Create tensors
+        src = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position);
+        dst = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position);
+
+        // Create and configure function
+        norm_layer.configure(&src, &dst, info);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(src), 0);
+    }
+
+    void run()
+    {
+        norm_layer.run();
+    }
+
+    void teardown()
+    {
+        src.allocator()->free();
+        dst.allocator()->free();
+    }
+
+private:
+    TensorType src{};
+    TensorType dst{};
+    Function   norm_layer{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_NORMALIZATIONLAYERFIXTURE */
diff --git a/tests/benchmark/fixtures/PoolingLayerFixture.h b/tests/benchmark/fixtures/PoolingLayerFixture.h
new file mode 100644
index 0000000000..2060301531
--- /dev/null
+++ b/tests/benchmark/fixtures/PoolingLayerFixture.h
@@ -0,0 +1,83 @@
+/*
+ * 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_POOLINGLAYERFIXTURE
+#define ARM_COMPUTE_TEST_POOLINGLAYERFIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor>
+class PoolingLayerFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape src_shape, TensorShape dst_shape, PoolingLayerInfo info, DataType data_type, int batches)
+    {
+        // Set batched in source and destination shapes
+        const unsigned int fixed_point_position = 4;
+        src_shape.set(src_shape.num_dimensions(), batches);
+        dst_shape.set(dst_shape.num_dimensions(), batches);
+
+        // Create tensors
+        src = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position);
+        dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position);
+
+        // Create and configure function
+        pool_layer.configure(&src, &dst, info);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(src), 0);
+    }
+
+    void run()
+    {
+        pool_layer.run();
+    }
+
+    void teardown()
+    {
+        src.allocator()->free();
+        dst.allocator()->free();
+    }
+
+private:
+    TensorType src{};
+    TensorType dst{};
+    Function   pool_layer{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_POOLINGLAYERFIXTURE */
diff --git a/tests/benchmark/fixtures/ROIPoolingLayerFixture.h b/tests/benchmark/fixtures/ROIPoolingLayerFixture.h
new file mode 100644
index 0000000000..76c2280b74
--- /dev/null
+++ b/tests/benchmark/fixtures/ROIPoolingLayerFixture.h
@@ -0,0 +1,95 @@
+/*
+ * 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_ROIPOOLINGLAYERFIXTURE
+#define ARM_COMPUTE_TEST_ROIPOOLINGLAYERFIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "tests/framework/Fixture.h"
+
+#include <vector>
+
+namespace arm_compute
+{
+namespace test
+{
+/** Fixture that can be used for NEON and CL */
+template <typename TensorType, typename Function, typename Accessor, typename Array_T, typename ArrayAccessor>
+class ROIPoolingLayerFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, const ROIPoolingLayerInfo pool_info, unsigned int num_rois, DataType data_type, int batches)
+    {
+        // Set batched in source and destination shapes
+        const unsigned int fixed_point_position = 4;
+        TensorShape        shape_dst;
+        shape.set(shape.num_dimensions(), batches);
+        shape_dst.set(0, pool_info.pooled_width());
+        shape_dst.set(1, pool_info.pooled_height());
+        shape_dst.set(2, shape.z());
+        shape_dst.set(3, num_rois);
+
+        // Create tensors
+        src = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position);
+        dst = create_tensor<TensorType>(shape_dst, data_type, 1, fixed_point_position);
+
+        // Create random ROIs
+        std::vector<ROI> rois = generate_random_rois(shape, pool_info, num_rois, 0U);
+        rois_array            = arm_compute::support::cpp14::make_unique<Array_T>(num_rois);
+        fill_array(ArrayAccessor(*rois_array), rois);
+
+        // Create and configure function
+        roi_pool.configure(&src, rois_array.get(), &dst, pool_info);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        // Fill tensors
+        library->fill_tensor_uniform(Accessor(src), 0);
+    }
+
+    void run()
+    {
+        roi_pool.run();
+    }
+
+    void teardown()
+    {
+        src.allocator()->free();
+        dst.allocator()->free();
+    }
+
+private:
+    TensorType               src{};
+    TensorType               dst{};
+    std::unique_ptr<Array_T> rois_array{};
+    Function                 roi_pool{};
+};
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ROIPOOLINGLAYERFIXTURE */