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>
diff --git a/tests/benchmark/fixtures/ActivationLayerFixture.h b/tests/benchmark/fixtures/ActivationLayerFixture.h
new file mode 100644
index 0000000..9ded063
--- /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 0000000..961f4e8
--- /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 0000000..79dbc76
--- /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 0000000..fd508d4
--- /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 0000000..e080fe2
--- /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 0000000..928b0c7
--- /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 0000000..8de87b8
--- /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 0000000..2d1f233
--- /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 0000000..0c41c67
--- /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 0000000..77a09d3
--- /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 0000000..41dd8a7
--- /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 0000000..2060301
--- /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 0000000..76c2280
--- /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 */