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/datasets/ActivationFunctionsDataset.h b/tests/datasets/ActivationFunctionsDataset.h
new file mode 100644
index 0000000..3e4f408
--- /dev/null
+++ b/tests/datasets/ActivationFunctionsDataset.h
@@ -0,0 +1,61 @@
+/*
+ * 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_ACTIVATIONFUNCTIONS_DATASET_H__
+#define __ARM_COMPUTE_TEST_ACTIVATIONFUNCTIONS_DATASET_H__
+
+#include "arm_compute/core/Types.h"
+#include "tests/framework/datasets/ContainerDataset.h"
+
+#include <vector>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class ActivationFunctions final : public framework::dataset::ContainerDataset<std::vector<ActivationLayerInfo::ActivationFunction>>
+{
+public:
+ ActivationFunctions()
+ : ContainerDataset("ActivationFunction",
+ {
+ ActivationLayerInfo::ActivationFunction::ABS,
+ ActivationLayerInfo::ActivationFunction::LINEAR,
+ ActivationLayerInfo::ActivationFunction::LOGISTIC,
+ ActivationLayerInfo::ActivationFunction::RELU,
+ ActivationLayerInfo::ActivationFunction::BOUNDED_RELU,
+ ActivationLayerInfo::ActivationFunction::LEAKY_RELU,
+ ActivationLayerInfo::ActivationFunction::SOFT_RELU,
+ ActivationLayerInfo::ActivationFunction::SQRT,
+ ActivationLayerInfo::ActivationFunction::SQUARE,
+ ActivationLayerInfo::ActivationFunction::TANH
+ })
+ {
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_ACTIVATIONFUNCTIONS_DATASET_H__ */
diff --git a/tests/datasets/BatchNormalizationLayerDataset.h b/tests/datasets/BatchNormalizationLayerDataset.h
new file mode 100644
index 0000000..25e65d9
--- /dev/null
+++ b/tests/datasets/BatchNormalizationLayerDataset.h
@@ -0,0 +1,116 @@
+/*
+ * 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_BATCHNORMALIZATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_BATCHNORMALIZATION_LAYER_DATASET
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class BatchNormalizationLayerDataset
+{
+public:
+ using type = std::tuple<TensorShape, TensorShape, float>;
+
+ struct iterator
+ {
+ iterator(std::vector<TensorShape>::const_iterator tensor_it,
+ std::vector<TensorShape>::const_iterator param_it,
+ std::vector<float>::const_iterator epsilon_it)
+ : _tensor_it{ std::move(tensor_it) },
+ _param_it{ std::move(param_it) },
+ _epsilon_it{ std::move(epsilon_it) }
+ {
+ }
+
+ std::string description() const
+ {
+ std::stringstream description;
+ description << "In=" << *_tensor_it << ":";
+ description << "Out=" << *_tensor_it << ":";
+ description << "Mean=" << *_param_it << ":";
+ description << "Variance=" << *_param_it << ":";
+ description << "Beta=" << *_param_it << ":";
+ description << "Gamma=" << *_param_it << ":";
+ description << "Epsilon=" << *_epsilon_it;
+ return description.str();
+ }
+
+ BatchNormalizationLayerDataset::type operator*() const
+ {
+ return std::make_tuple(*_tensor_it, *_param_it, *_epsilon_it);
+ }
+
+ iterator &operator++()
+ {
+ ++_tensor_it;
+ ++_param_it;
+ ++_epsilon_it;
+
+ return *this;
+ }
+
+ private:
+ std::vector<TensorShape>::const_iterator _tensor_it;
+ std::vector<TensorShape>::const_iterator _param_it;
+ std::vector<float>::const_iterator _epsilon_it;
+ };
+
+ iterator begin() const
+ {
+ return iterator(_tensor_shapes.begin(), _param_shapes.begin(), _epsilons.begin());
+ }
+
+ int size() const
+ {
+ return std::min(_tensor_shapes.size(), std::min(_param_shapes.size(), _epsilons.size()));
+ }
+
+ void add_config(TensorShape tensor, TensorShape param, float epsilon)
+ {
+ _tensor_shapes.emplace_back(std::move(tensor));
+ _param_shapes.emplace_back(std::move(param));
+ _epsilons.emplace_back(std::move(epsilon));
+ }
+
+protected:
+ BatchNormalizationLayerDataset() = default;
+ BatchNormalizationLayerDataset(BatchNormalizationLayerDataset &&) = default;
+
+private:
+ std::vector<TensorShape> _tensor_shapes{};
+ std::vector<TensorShape> _param_shapes{};
+ std::vector<float> _epsilons{};
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_BATCHNORMALIZATION_LAYER_DATASET */
diff --git a/tests/datasets/BorderModeDataset.h b/tests/datasets/BorderModeDataset.h
new file mode 100644
index 0000000..df024a7
--- /dev/null
+++ b/tests/datasets/BorderModeDataset.h
@@ -0,0 +1,54 @@
+/*
+ * 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_BORDER_MODE_DATASET_H__
+#define __ARM_COMPUTE_TEST_BORDER_MODE_DATASET_H__
+
+#include "arm_compute/core/Types.h"
+#include "tests/framework/datasets/ContainerDataset.h"
+
+#include <vector>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class BorderModes final : public framework::dataset::ContainerDataset<std::vector<BorderMode>>
+{
+public:
+ BorderModes()
+ : ContainerDataset("BorderMode",
+ {
+ BorderMode::UNDEFINED,
+ BorderMode::CONSTANT,
+ BorderMode::REPLICATE
+ })
+ {
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_BORDER_MODE_DATASET_H__ */
diff --git a/tests/datasets/ConvolutionLayerDataset.h b/tests/datasets/ConvolutionLayerDataset.h
new file mode 100644
index 0000000..ba11bd5
--- /dev/null
+++ b/tests/datasets/ConvolutionLayerDataset.h
@@ -0,0 +1,126 @@
+/*
+ * 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_CONVOLUTION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_CONVOLUTION_LAYER_DATASET
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class ConvolutionLayerDataset
+{
+public:
+ using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape, PadStrideInfo>;
+
+ struct iterator
+ {
+ iterator(std::vector<TensorShape>::const_iterator src_it,
+ std::vector<TensorShape>::const_iterator weights_it,
+ std::vector<TensorShape>::const_iterator biases_it,
+ std::vector<TensorShape>::const_iterator dst_it,
+ std::vector<PadStrideInfo>::const_iterator infos_it)
+ : _src_it{ std::move(src_it) },
+ _weights_it{ std::move(weights_it) },
+ _biases_it{ std::move(biases_it) },
+ _dst_it{ std::move(dst_it) },
+ _infos_it{ std::move(infos_it) }
+ {
+ }
+
+ std::string description() const
+ {
+ std::stringstream description;
+ description << "In=" << *_src_it << ":";
+ description << "Weights=" << *_weights_it << ":";
+ description << "Biases=" << *_biases_it << ":";
+ description << "Out=" << *_dst_it << ":";
+ description << "Info=" << *_infos_it;
+ return description.str();
+ }
+
+ ConvolutionLayerDataset::type operator*() const
+ {
+ return std::make_tuple(*_src_it, *_weights_it, *_biases_it, *_dst_it, *_infos_it);
+ }
+
+ iterator &operator++()
+ {
+ ++_src_it;
+ ++_weights_it;
+ ++_biases_it;
+ ++_dst_it;
+ ++_infos_it;
+
+ return *this;
+ }
+
+ private:
+ std::vector<TensorShape>::const_iterator _src_it;
+ std::vector<TensorShape>::const_iterator _weights_it;
+ std::vector<TensorShape>::const_iterator _biases_it;
+ std::vector<TensorShape>::const_iterator _dst_it;
+ std::vector<PadStrideInfo>::const_iterator _infos_it;
+ };
+
+ iterator begin() const
+ {
+ return iterator(_src_shapes.begin(), _weight_shapes.begin(), _bias_shapes.begin(), _dst_shapes.begin(), _infos.begin());
+ }
+
+ int size() const
+ {
+ return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_bias_shapes.size(), std::min(_dst_shapes.size(), _infos.size()))));
+ }
+
+ void add_config(TensorShape src, TensorShape weights, TensorShape biases, TensorShape dst, PadStrideInfo info)
+ {
+ _src_shapes.emplace_back(std::move(src));
+ _weight_shapes.emplace_back(std::move(weights));
+ _bias_shapes.emplace_back(std::move(biases));
+ _dst_shapes.emplace_back(std::move(dst));
+ _infos.emplace_back(std::move(info));
+ }
+
+protected:
+ ConvolutionLayerDataset() = default;
+ ConvolutionLayerDataset(ConvolutionLayerDataset &&) = default;
+
+private:
+ std::vector<TensorShape> _src_shapes{};
+ std::vector<TensorShape> _weight_shapes{};
+ std::vector<TensorShape> _bias_shapes{};
+ std::vector<TensorShape> _dst_shapes{};
+ std::vector<PadStrideInfo> _infos{};
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_CONVOLUTION_LAYER_DATASET */
diff --git a/tests/datasets/DepthwiseConvolutionDataset.h b/tests/datasets/DepthwiseConvolutionDataset.h
new file mode 100644
index 0000000..93da375
--- /dev/null
+++ b/tests/datasets/DepthwiseConvolutionDataset.h
@@ -0,0 +1,119 @@
+/*
+ * 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_CONVOLUTION_DATASET
+#define ARM_COMPUTE_TEST_DEPTHWISE_CONVOLUTION_DATASET
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class DepthwiseConvolutionDataset
+{
+public:
+ using type = std::tuple<TensorShape, TensorShape, TensorShape, PadStrideInfo>;
+
+ struct iterator
+ {
+ iterator(std::vector<TensorShape>::const_iterator src_it,
+ std::vector<TensorShape>::const_iterator weights_it,
+ std::vector<TensorShape>::const_iterator dst_it,
+ std::vector<PadStrideInfo>::const_iterator infos_it)
+ : _src_it{ std::move(src_it) },
+ _weights_it{ std::move(weights_it) },
+ _dst_it{ std::move(dst_it) },
+ _infos_it{ std::move(infos_it) }
+ {
+ }
+
+ std::string description() const
+ {
+ std::stringstream description;
+ description << "In=" << *_src_it << ":";
+ description << "Weights=" << *_weights_it << ":";
+ description << "Out=" << *_dst_it << ":";
+ description << "Info=" << *_infos_it;
+ return description.str();
+ }
+
+ DepthwiseConvolutionDataset::type operator*() const
+ {
+ return std::make_tuple(*_src_it, *_weights_it, *_dst_it, *_infos_it);
+ }
+
+ iterator &operator++()
+ {
+ ++_src_it;
+ ++_weights_it;
+ ++_dst_it;
+ ++_infos_it;
+
+ return *this;
+ }
+
+ private:
+ std::vector<TensorShape>::const_iterator _src_it;
+ std::vector<TensorShape>::const_iterator _weights_it;
+ std::vector<TensorShape>::const_iterator _dst_it;
+ std::vector<PadStrideInfo>::const_iterator _infos_it;
+ };
+
+ iterator begin() const
+ {
+ return iterator(_src_shapes.begin(), _weight_shapes.begin(), _dst_shapes.begin(), _infos.begin());
+ }
+
+ int size() const
+ {
+ return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_dst_shapes.size(), _infos.size())));
+ }
+
+ void add_config(TensorShape src, TensorShape weights, TensorShape dst, PadStrideInfo info)
+ {
+ _src_shapes.emplace_back(std::move(src));
+ _weight_shapes.emplace_back(std::move(weights));
+ _dst_shapes.emplace_back(std::move(dst));
+ _infos.emplace_back(std::move(info));
+ }
+
+protected:
+ DepthwiseConvolutionDataset() = default;
+ DepthwiseConvolutionDataset(DepthwiseConvolutionDataset &&) = default;
+
+private:
+ std::vector<TensorShape> _src_shapes{};
+ std::vector<TensorShape> _weight_shapes{};
+ std::vector<TensorShape> _dst_shapes{};
+ std::vector<PadStrideInfo> _infos{};
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_DEPTHWISE_CONVOLUTION_DATASET */
diff --git a/tests/datasets/DepthwiseSeparableConvolutionLayerDataset.h b/tests/datasets/DepthwiseSeparableConvolutionLayerDataset.h
new file mode 100644
index 0000000..4391379
--- /dev/null
+++ b/tests/datasets/DepthwiseSeparableConvolutionLayerDataset.h
@@ -0,0 +1,149 @@
+/*
+ * 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_DATASET
+#define ARM_COMPUTE_TEST_DEPTHWISE_SEPARABLE_CONVOLUTION_LAYER_DATASET
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class DepthwiseSeparableConvolutionLayerDataset
+{
+public:
+ using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape, TensorShape, TensorShape, PadStrideInfo, PadStrideInfo>;
+
+ struct iterator
+ {
+ iterator(std::vector<TensorShape>::const_iterator src_it,
+ std::vector<TensorShape>::const_iterator filter_it,
+ std::vector<TensorShape>::const_iterator depthwise_out_it,
+ std::vector<TensorShape>::const_iterator weights_it,
+ std::vector<TensorShape>::const_iterator biases_it,
+ std::vector<TensorShape>::const_iterator dst_it,
+ std::vector<PadStrideInfo>::const_iterator depthwise_infos_it,
+ std::vector<PadStrideInfo>::const_iterator pointwise_infos_it)
+ : _src_it{ std::move(src_it) },
+ _filter_it{ std::move(filter_it) },
+ _depthwise_out_it{ std::move(depthwise_out_it) },
+ _weights_it{ std::move(weights_it) },
+ _biases_it{ std::move(biases_it) },
+ _dst_it{ std::move(dst_it) },
+ _depthwise_infos_it{ std::move(depthwise_infos_it) },
+ _pointwise_infos_it{ std::move(pointwise_infos_it) }
+ {
+ }
+
+ std::string description() const
+ {
+ std::stringstream description;
+ description << "In=" << *_src_it << ":";
+ description << "Filter=" << *_filter_it << ":";
+ description << "DepthwiseOut=" << *_depthwise_out_it << ":";
+ description << "Weights=" << *_weights_it << ":";
+ description << "Biases=" << *_biases_it << ":";
+ description << "Out=" << *_dst_it << ":";
+ description << "DepthwiseInfo=" << *_depthwise_infos_it << ":";
+ description << "PointwiseInfo=" << *_pointwise_infos_it;
+ return description.str();
+ }
+
+ DepthwiseSeparableConvolutionLayerDataset::type operator*() const
+ {
+ return std::make_tuple(*_src_it, *_filter_it, *_depthwise_out_it, *_weights_it, *_biases_it, *_dst_it, *_depthwise_infos_it, *_pointwise_infos_it);
+ }
+
+ iterator &operator++()
+ {
+ ++_src_it;
+ ++_filter_it;
+ ++_depthwise_out_it;
+ ++_weights_it;
+ ++_biases_it;
+ ++_dst_it;
+ ++_depthwise_infos_it;
+ ++_pointwise_infos_it;
+
+ return *this;
+ }
+
+ private:
+ std::vector<TensorShape>::const_iterator _src_it;
+ std::vector<TensorShape>::const_iterator _filter_it;
+ std::vector<TensorShape>::const_iterator _depthwise_out_it;
+ std::vector<TensorShape>::const_iterator _weights_it;
+ std::vector<TensorShape>::const_iterator _biases_it;
+ std::vector<TensorShape>::const_iterator _dst_it;
+ std::vector<PadStrideInfo>::const_iterator _depthwise_infos_it;
+ std::vector<PadStrideInfo>::const_iterator _pointwise_infos_it;
+ };
+
+ iterator begin() const
+ {
+ return iterator(_src_shapes.begin(), _filter_shapes.begin(), _depthwise_out_shapes.begin(), _weight_shapes.begin(), _bias_shapes.begin(), _dst_shapes.begin(), _depthwise_infos.begin(),
+ _pointwise_infos.begin());
+ }
+
+ int size() const
+ {
+ return std::min(_src_shapes.size(), std::min(_filter_shapes.size(), std::min(_depthwise_out_shapes.size(), std::min(_weight_shapes.size(), std::min(_bias_shapes.size(), std::min(_dst_shapes.size(),
+ std::min(_depthwise_infos.size(), _pointwise_infos.size())))))));
+ }
+
+ void add_config(TensorShape src, TensorShape filter, TensorShape depthwise_out, TensorShape weights, TensorShape biases, TensorShape dst, PadStrideInfo depthwise_info, PadStrideInfo pointwise_info)
+ {
+ _src_shapes.emplace_back(std::move(src));
+ _filter_shapes.emplace_back(std::move(filter));
+ _depthwise_out_shapes.emplace_back(std::move(depthwise_out));
+ _weight_shapes.emplace_back(std::move(weights));
+ _bias_shapes.emplace_back(std::move(biases));
+ _dst_shapes.emplace_back(std::move(dst));
+ _depthwise_infos.emplace_back(std::move(depthwise_info));
+ _pointwise_infos.emplace_back(std::move(pointwise_info));
+ }
+
+protected:
+ DepthwiseSeparableConvolutionLayerDataset() = default;
+ DepthwiseSeparableConvolutionLayerDataset(DepthwiseSeparableConvolutionLayerDataset &&) = default;
+
+private:
+ std::vector<TensorShape> _src_shapes{};
+ std::vector<TensorShape> _filter_shapes{};
+ std::vector<TensorShape> _depthwise_out_shapes{};
+ std::vector<TensorShape> _weight_shapes{};
+ std::vector<TensorShape> _bias_shapes{};
+ std::vector<TensorShape> _dst_shapes{};
+ std::vector<PadStrideInfo> _depthwise_infos{};
+ std::vector<PadStrideInfo> _pointwise_infos{};
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_DEPTHWISE_SEPARABLE_CONVOLUTION_LAYER_DATASET */
diff --git a/tests/datasets/DirectConvolutionLayerDataset.h b/tests/datasets/DirectConvolutionLayerDataset.h
new file mode 100644
index 0000000..dca38b5
--- /dev/null
+++ b/tests/datasets/DirectConvolutionLayerDataset.h
@@ -0,0 +1,60 @@
+/*
+ * 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_DIRECT_CONVOLUTION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_DIRECT_CONVOLUTION_LAYER_DATASET
+
+#include "tests/datasets/ConvolutionLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+/** Stripped down version of AlexNet as not all kernel sizes and strides are supported. */
+class DirectConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+ DirectConvolutionLayerDataset()
+ {
+ add_config(TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 3U), TensorShape(3U), TensorShape(13U, 13U, 3U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 4U), TensorShape(4U), TensorShape(13U, 13U, 4U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 5U), TensorShape(5U), TensorShape(13U, 13U, 5U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 3U), TensorShape(3U), TensorShape(13U, 13U, 3U), PadStrideInfo(2, 2, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 4U), TensorShape(4U), TensorShape(13U, 13U, 4U), PadStrideInfo(2, 2, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 5U), TensorShape(5U), TensorShape(13U, 13U, 5U), PadStrideInfo(2, 2, 1, 1));
+ add_config(TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 3U), TensorShape(3U), TensorShape(13U, 13U, 3U), PadStrideInfo(3, 3, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 4U), TensorShape(4U), TensorShape(13U, 13U, 4U), PadStrideInfo(3, 3, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 5U), TensorShape(5U), TensorShape(13U, 13U, 5U), PadStrideInfo(3, 3, 1, 1));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_DIRECT_CONVOLUTION_LAYER_DATASET */
diff --git a/tests/datasets/FullyConnectedLayerDataset.h b/tests/datasets/FullyConnectedLayerDataset.h
new file mode 100644
index 0000000..8401e39
--- /dev/null
+++ b/tests/datasets/FullyConnectedLayerDataset.h
@@ -0,0 +1,151 @@
+/*
+ * 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_FULLYCONNECTED_LAYER_DATASET
+#define ARM_COMPUTE_TEST_FULLYCONNECTED_LAYER_DATASET
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class FullyConnectedLayerDataset
+{
+public:
+ using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape>;
+
+ struct iterator
+ {
+ iterator(std::vector<TensorShape>::const_iterator src_it,
+ std::vector<TensorShape>::const_iterator weights_it,
+ std::vector<TensorShape>::const_iterator biases_it,
+ std::vector<TensorShape>::const_iterator dst_it)
+ : _src_it{ std::move(src_it) },
+ _weights_it{ std::move(weights_it) },
+ _biases_it{ std::move(biases_it) },
+ _dst_it{ std::move(dst_it) }
+ {
+ }
+
+ std::string description() const
+ {
+ std::stringstream description;
+ description << "In=" << *_src_it << ":";
+ description << "Weights=" << *_weights_it << ":";
+ description << "Biases=" << *_biases_it << ":";
+ description << "Out=" << *_dst_it;
+ return description.str();
+ }
+
+ FullyConnectedLayerDataset::type operator*() const
+ {
+ return std::make_tuple(*_src_it, *_weights_it, *_biases_it, *_dst_it);
+ }
+
+ iterator &operator++()
+ {
+ ++_src_it;
+ ++_weights_it;
+ ++_biases_it;
+ ++_dst_it;
+
+ return *this;
+ }
+
+ private:
+ std::vector<TensorShape>::const_iterator _src_it;
+ std::vector<TensorShape>::const_iterator _weights_it;
+ std::vector<TensorShape>::const_iterator _biases_it;
+ std::vector<TensorShape>::const_iterator _dst_it;
+ };
+
+ iterator begin() const
+ {
+ return iterator(_src_shapes.begin(), _weight_shapes.begin(), _bias_shapes.begin(), _dst_shapes.begin());
+ }
+
+ int size() const
+ {
+ return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_bias_shapes.size(), _dst_shapes.size())));
+ }
+
+ void add_config(TensorShape src, TensorShape weights, TensorShape biases, TensorShape dst)
+ {
+ _src_shapes.emplace_back(std::move(src));
+ _weight_shapes.emplace_back(std::move(weights));
+ _bias_shapes.emplace_back(std::move(biases));
+ _dst_shapes.emplace_back(std::move(dst));
+ }
+
+protected:
+ FullyConnectedLayerDataset() = default;
+ FullyConnectedLayerDataset(FullyConnectedLayerDataset &&) = default;
+
+private:
+ std::vector<TensorShape> _src_shapes{};
+ std::vector<TensorShape> _weight_shapes{};
+ std::vector<TensorShape> _bias_shapes{};
+ std::vector<TensorShape> _dst_shapes{};
+};
+
+class SmallFullyConnectedLayerDataset final : public FullyConnectedLayerDataset
+{
+public:
+ SmallFullyConnectedLayerDataset()
+ {
+ // Conv -> FC
+ add_config(TensorShape(9U, 5U, 7U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U));
+ // Conv -> FC (batched)
+ add_config(TensorShape(9U, 5U, 7U, 3U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U, 3U));
+ // FC -> FC
+ add_config(TensorShape(201U), TensorShape(201U, 529U), TensorShape(529U), TensorShape(529U));
+ // FC -> FC (batched)
+ add_config(TensorShape(201U, 3U), TensorShape(201U, 529U), TensorShape(529U), TensorShape(529U, 3U));
+
+ add_config(TensorShape(9U, 5U, 7U, 3U, 2U), TensorShape(315U, 271U), TensorShape(271U), TensorShape(271U, 3U, 2U));
+ }
+};
+
+class LargeFullyConnectedLayerDataset final : public FullyConnectedLayerDataset
+{
+public:
+ LargeFullyConnectedLayerDataset()
+ {
+ add_config(TensorShape(9U, 5U, 257U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U));
+ add_config(TensorShape(9U, 5U, 257U, 2U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U, 2U));
+ add_config(TensorShape(3127U), TensorShape(3127U, 989U), TensorShape(989U), TensorShape(989U));
+ add_config(TensorShape(3127U, 2U), TensorShape(3127U, 989U), TensorShape(989U), TensorShape(989U, 2U));
+
+ add_config(TensorShape(9U, 5U, 257U, 2U, 3U), TensorShape(11565U, 2123U), TensorShape(2123U), TensorShape(2123U, 2U, 3U));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_FULLYCONNECTED_LAYER_DATASET */
diff --git a/tests/datasets/GEMMDataset.h b/tests/datasets/GEMMDataset.h
new file mode 100644
index 0000000..bb8a328
--- /dev/null
+++ b/tests/datasets/GEMMDataset.h
@@ -0,0 +1,132 @@
+/*
+ * 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_GEMM_DATASET
+#define ARM_COMPUTE_TEST_GEMM_DATASET
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GEMMDataset
+{
+public:
+ using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape, float, float>;
+
+ struct iterator
+ {
+ iterator(std::vector<TensorShape>::const_iterator a_it,
+ std::vector<TensorShape>::const_iterator b_it,
+ std::vector<TensorShape>::const_iterator c_it,
+ std::vector<TensorShape>::const_iterator dst_it,
+ std::vector<float>::const_iterator alpha_it,
+ std::vector<float>::const_iterator beta_it)
+ : _a_it{ std::move(a_it) },
+ _b_it{ std::move(b_it) },
+ _c_it{ std::move(c_it) },
+ _dst_it{ std::move(dst_it) },
+ _alpha_it{ std::move(alpha_it) },
+ _beta_it{ std::move(beta_it) }
+ {
+ }
+
+ std::string description() const
+ {
+ std::stringstream description;
+ description << "A=" << *_a_it << ":";
+ description << "B=" << *_b_it << ":";
+ description << "C=" << *_c_it << ":";
+ description << "Out=" << *_dst_it << ":";
+ description << "Alpha=" << *_alpha_it << ":";
+ description << "Beta=" << *_beta_it;
+ return description.str();
+ }
+
+ GEMMDataset::type operator*() const
+ {
+ return std::make_tuple(*_a_it, *_b_it, *_c_it, *_dst_it, *_alpha_it, *_beta_it);
+ }
+
+ iterator &operator++()
+ {
+ ++_a_it;
+ ++_b_it;
+ ++_c_it;
+ ++_dst_it;
+ ++_alpha_it;
+ ++_beta_it;
+
+ return *this;
+ }
+
+ private:
+ std::vector<TensorShape>::const_iterator _a_it;
+ std::vector<TensorShape>::const_iterator _b_it;
+ std::vector<TensorShape>::const_iterator _c_it;
+ std::vector<TensorShape>::const_iterator _dst_it;
+ std::vector<float>::const_iterator _alpha_it;
+ std::vector<float>::const_iterator _beta_it;
+ };
+
+ iterator begin() const
+ {
+ return iterator(_a_shapes.begin(), _b_shapes.begin(), _c_shapes.begin(), _dst_shapes.begin(), _alpha.begin(), _beta.begin());
+ }
+
+ int size() const
+ {
+ return std::min(_a_shapes.size(), std::min(_b_shapes.size(), std::min(_c_shapes.size(), std::min(_dst_shapes.size(), std::min(_alpha.size(), _beta.size())))));
+ }
+
+ void add_config(TensorShape a, TensorShape b, TensorShape c, TensorShape dst, float alpha, float beta)
+ {
+ _a_shapes.emplace_back(std::move(a));
+ _b_shapes.emplace_back(std::move(b));
+ _c_shapes.emplace_back(std::move(c));
+ _dst_shapes.emplace_back(std::move(dst));
+ _alpha.emplace_back(std::move(alpha));
+ _beta.emplace_back(std::move(beta));
+ }
+
+protected:
+ GEMMDataset() = default;
+ GEMMDataset(GEMMDataset &&) = default;
+
+private:
+ std::vector<TensorShape> _a_shapes{};
+ std::vector<TensorShape> _b_shapes{};
+ std::vector<TensorShape> _c_shapes{};
+ std::vector<TensorShape> _dst_shapes{};
+ std::vector<float> _alpha{};
+ std::vector<float> _beta{};
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GEMM_DATASET */
diff --git a/tests/datasets/InterpolationPolicyDataset.h b/tests/datasets/InterpolationPolicyDataset.h
new file mode 100644
index 0000000..154f887
--- /dev/null
+++ b/tests/datasets/InterpolationPolicyDataset.h
@@ -0,0 +1,51 @@
+/*
+ * 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_INTEPOLATIONPOLICY_DATASET_H__
+#define __ARM_COMPUTE_TEST_INTEPOLATIONPOLICY_DATASET_H__
+
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class InterpolationPolicies final : public framework::dataset::ContainerDataset<std::vector<InterpolationPolicy>>
+{
+public:
+ InterpolationPolicies()
+ : ContainerDataset("InterpolationPolicy",
+ {
+ InterpolationPolicy::NEAREST_NEIGHBOR,
+ InterpolationPolicy::BILINEAR,
+ InterpolationPolicy::AREA
+ })
+ {
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_INTEPOLATIONPOLICY_DATASET_H__ */
diff --git a/tests/datasets/LargeConvolutionLayerDataset.h b/tests/datasets/LargeConvolutionLayerDataset.h
new file mode 100644
index 0000000..721530a
--- /dev/null
+++ b/tests/datasets/LargeConvolutionLayerDataset.h
@@ -0,0 +1,76 @@
+/*
+ * 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_LARGE_CONVOLUTION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_LARGE_CONVOLUTION_LAYER_DATASET
+
+#include "tests/datasets/ConvolutionLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class LargeConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+ LargeConvolutionLayerDataset()
+ {
+ // Batch size 1
+ add_config(TensorShape(227U, 227U, 3U), TensorShape(11U, 11U, 3U, 96U), TensorShape(96U), TensorShape(55U, 55U, 96U), PadStrideInfo(4, 4, 0, 0));
+ add_config(TensorShape(27U, 27U, 96U), TensorShape(5U, 5U, 96U, 256U), TensorShape(256U), TensorShape(27U, 27U, 256U), PadStrideInfo(1, 1, 2, 2));
+ add_config(TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 256U), TensorShape(256U), TensorShape(13U, 13U, 256U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(224U, 224U, 3U), TensorShape(7U, 7U, 3U, 64U), TensorShape(64U), TensorShape(112U, 112U, 64U), PadStrideInfo(2, 2, 3, 3));
+ add_config(TensorShape(28U, 28U, 256U), TensorShape(1U, 1U, 256U, 64U), TensorShape(64U), TensorShape(28U, 28U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // Batch size 4
+ add_config(TensorShape(227U, 227U, 3U, 4U), TensorShape(11U, 11U, 3U, 96U), TensorShape(96U), TensorShape(55U, 55U, 96U, 4U), PadStrideInfo(4, 4, 0, 0));
+ add_config(TensorShape(27U, 27U, 96U, 4U), TensorShape(5U, 5U, 96U, 256U), TensorShape(256U), TensorShape(27U, 27U, 256U, 4U), PadStrideInfo(1, 1, 2, 2));
+ add_config(TensorShape(13U, 13U, 256U, 4U), TensorShape(3U, 3U, 256U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U, 4U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U, 4U), TensorShape(3U, 3U, 384U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U, 4U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U, 4U), TensorShape(3U, 3U, 384U, 256U), TensorShape(256U), TensorShape(13U, 13U, 256U, 4U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(224U, 224U, 3U, 4U), TensorShape(7U, 7U, 3U, 64U), TensorShape(64U), TensorShape(112U, 112U, 64U, 4U), PadStrideInfo(2, 2, 3, 3));
+ add_config(TensorShape(28U, 28U, 256U, 4U), TensorShape(1U, 1U, 256U, 64U), TensorShape(64U), TensorShape(28U, 28U, 64U, 4U), PadStrideInfo(1, 1, 0, 0));
+ // Batch size 8
+ add_config(TensorShape(227U, 227U, 3U, 8U), TensorShape(11U, 11U, 3U, 96U), TensorShape(96U), TensorShape(55U, 55U, 96U, 8U), PadStrideInfo(4, 4, 0, 0));
+ add_config(TensorShape(27U, 27U, 96U, 8U), TensorShape(5U, 5U, 96U, 256U), TensorShape(256U), TensorShape(27U, 27U, 256U, 8U), PadStrideInfo(1, 1, 2, 2));
+ add_config(TensorShape(13U, 13U, 256U, 8U), TensorShape(3U, 3U, 256U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U, 8U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U, 8U), TensorShape(3U, 3U, 384U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U, 8U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U, 8U), TensorShape(3U, 3U, 384U, 256U), TensorShape(256U), TensorShape(13U, 13U, 256U, 8U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(224U, 224U, 3U, 8U), TensorShape(7U, 7U, 3U, 64U), TensorShape(64U), TensorShape(112U, 112U, 64U, 8U), PadStrideInfo(2, 2, 3, 3));
+ add_config(TensorShape(28U, 28U, 256U, 8U), TensorShape(1U, 1U, 256U, 64U), TensorShape(64U), TensorShape(28U, 28U, 64U, 8U), PadStrideInfo(1, 1, 0, 0));
+ // Arbitrary batch size
+ add_config(TensorShape(227U, 227U, 3U, 5U), TensorShape(11U, 11U, 3U, 96U), TensorShape(96U), TensorShape(55U, 55U, 96U, 5U), PadStrideInfo(4, 4, 0, 0));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_LARGE_CONVOLUTION_LAYER_DATASET */
diff --git a/tests/datasets/LargeDepthwiseConvolutionDataset.h b/tests/datasets/LargeDepthwiseConvolutionDataset.h
new file mode 100644
index 0000000..22b1516
--- /dev/null
+++ b/tests/datasets/LargeDepthwiseConvolutionDataset.h
@@ -0,0 +1,56 @@
+/*
+ * 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_LARGE_DEPTHWISE_CONVOLUTION_DATASET
+#define ARM_COMPUTE_TEST_LARGE_DEPTHWISE_CONVOLUTION_DATASET
+
+#include "tests/datasets/DepthwiseConvolutionDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class LargeDepthwiseConvolutionDataset final : public DepthwiseConvolutionDataset
+{
+public:
+ LargeDepthwiseConvolutionDataset()
+ {
+ add_config(TensorShape(233U, 277U, 55U), TensorShape(3U, 3U, 55U), TensorShape(116U, 275U, 55U), PadStrideInfo(2, 1, 0, 0));
+ add_config(TensorShape(333U, 277U, 77U), TensorShape(3U, 3U, 77U), TensorShape(111U, 138U, 77U), PadStrideInfo(3, 2, 1, 0));
+ add_config(TensorShape(177U, 311U, 22U), TensorShape(3U, 3U, 22U), TensorShape(177U, 156U, 22U), PadStrideInfo(1, 2, 1, 1));
+ add_config(TensorShape(233U, 277U, 55U), TensorShape(3U, 3U, 55U), TensorShape(231U, 138U, 55U), PadStrideInfo(1, 2, 0, 0));
+ add_config(TensorShape(333U, 277U, 77U), TensorShape(3U, 3U, 77U), TensorShape(166U, 93U, 77U), PadStrideInfo(2, 3, 0, 1));
+ add_config(TensorShape(177U, 311U, 22U), TensorShape(3U, 3U, 22U), TensorShape(89U, 311U, 22U), PadStrideInfo(2, 1, 1, 1));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_LARGE_DEPTHWISE_CONVOLUTION_DATASET */
diff --git a/tests/datasets/LargeGEMMDataset.h b/tests/datasets/LargeGEMMDataset.h
new file mode 100644
index 0000000..37cdfaa
--- /dev/null
+++ b/tests/datasets/LargeGEMMDataset.h
@@ -0,0 +1,54 @@
+/*
+ * 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_LARGE_GEMM_DATASET
+#define ARM_COMPUTE_TEST_LARGE_GEMM_DATASET
+
+#include "tests/datasets/GEMMDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class LargeGEMMDataset final : public GEMMDataset
+{
+public:
+ LargeGEMMDataset()
+ {
+ add_config(TensorShape(923U, 429U), TensorShape(871U, 923U), TensorShape(871U, 429U), TensorShape(871U, 429U), 1.0f, 0.0f);
+ add_config(TensorShape(1021U, 1U), TensorShape(783U, 1021U), TensorShape(783U, 1U), TensorShape(783U, 1U), 1.0f, 0.0f);
+ add_config(TensorShape(681U, 1023U), TensorShape(213U, 681U), TensorShape(213U, 1023U), TensorShape(213U, 1023U), 0.2f, 1.2f);
+ add_config(TensorShape(941U, 1U), TensorShape(623U, 941U), TensorShape(623U, 1U), TensorShape(623U, 1U), 0.4f, 0.7f);
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_LARGE_GEMM_DATASET */
diff --git a/tests/datasets/MatrixMultiplyGEMMDataset.h b/tests/datasets/MatrixMultiplyGEMMDataset.h
new file mode 100644
index 0000000..771403b
--- /dev/null
+++ b/tests/datasets/MatrixMultiplyGEMMDataset.h
@@ -0,0 +1,52 @@
+/*
+ * 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_MATRIXMULTIPLY_GEMM_DATASET
+#define ARM_COMPUTE_TEST_MATRIXMULTIPLY_GEMM_DATASET
+
+#include "tests/datasets/GEMMDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class MatrixMultiplyGEMMDataset final : public GEMMDataset
+{
+public:
+ MatrixMultiplyGEMMDataset()
+ {
+ add_config(TensorShape(1024U, 1U), TensorShape(1000U, 1024U), TensorShape(1000U, 1U), TensorShape(1000U, 1U), 1.0f, 0.0f);
+ add_config(TensorShape(256U, 784U), TensorShape(64U, 256U), TensorShape(64U, 784U), TensorShape(64U, 784U), 1.0f, 0.0f);
+ add_config(TensorShape(1152U, 2704U), TensorShape(256U, 1152U), TensorShape(256U, 2704U), TensorShape(256U, 2704U), 1.0f, 0.0f);
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_MATRIXMULTIPLY_GEMM_DATASET */
diff --git a/tests/datasets/MobileNetDepthwiseConvolutionDataset.h b/tests/datasets/MobileNetDepthwiseConvolutionDataset.h
new file mode 100644
index 0000000..c417f18
--- /dev/null
+++ b/tests/datasets/MobileNetDepthwiseConvolutionDataset.h
@@ -0,0 +1,58 @@
+/*
+ * 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_MOBILENET_DEPTHWISE_CONVOLUTION_DATASET
+#define ARM_COMPUTE_TEST_MOBILENET_DEPTHWISE_CONVOLUTION_DATASET
+
+#include "tests/datasets/DepthwiseConvolutionDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class MobileNetDepthwiseConvolutionDataset final : public DepthwiseConvolutionDataset
+{
+public:
+ MobileNetDepthwiseConvolutionDataset()
+ {
+ add_config(TensorShape(7U, 7U, 1024U), TensorShape(3U, 3U, 1024U), TensorShape(3U, 3U, 1024U), PadStrideInfo(2, 2, 1, 1));
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(3U, 3U, 512U), TensorShape(7U, 7U, 512U), PadStrideInfo(2, 2, 1, 1));
+ add_config(TensorShape(28U, 28U, 256U), TensorShape(3U, 3U, 256U), TensorShape(14U, 14U, 256U), PadStrideInfo(2, 2, 1, 1));
+ add_config(TensorShape(28U, 28U, 256U), TensorShape(3U, 3U, 256U), TensorShape(28U, 28U, 256U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(56U, 56U, 128U), TensorShape(3U, 3U, 128U), TensorShape(28U, 28U, 128U), PadStrideInfo(2, 2, 1, 1));
+ add_config(TensorShape(56U, 56U, 128U), TensorShape(3U, 3U, 128U), TensorShape(56U, 56U, 128U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(112U, 112U, 64U), TensorShape(3U, 3U, 64U), TensorShape(56U, 56U, 64U), PadStrideInfo(2, 2, 1, 1));
+ add_config(TensorShape(112U, 112U, 32U), TensorShape(3U, 3U, 32U), TensorShape(112U, 112U, 32U), PadStrideInfo(1, 1, 1, 1));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_MOBILENET_DEPTHWISE_CONVOLUTION_DATASET */
diff --git a/tests/datasets/MobileNetDepthwiseSeparableConvolutionLayerDataset.h b/tests/datasets/MobileNetDepthwiseSeparableConvolutionLayerDataset.h
new file mode 100644
index 0000000..c7784c3
--- /dev/null
+++ b/tests/datasets/MobileNetDepthwiseSeparableConvolutionLayerDataset.h
@@ -0,0 +1,70 @@
+/*
+ * 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_MOBILENET_DEPTHWISE_SEPARABLE_CONVOLUTION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_MOBILENET_DEPTHWISE_SEPARABLE_CONVOLUTION_LAYER_DATASET
+
+#include "tests/datasets/DepthwiseSeparableConvolutionLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class MobileNetDepthwiseSeparableConvolutionLayerDataset final : public DepthwiseSeparableConvolutionLayerDataset
+{
+public:
+ MobileNetDepthwiseSeparableConvolutionLayerDataset()
+ {
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(3U, 3U, 512U), TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 512U), TensorShape(512U), TensorShape(14U, 14U, 512U), PadStrideInfo(1, 1, 1,
+ 1,
+ DimensionRoundingType::FLOOR),
+ PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::FLOOR));
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(3U, 3U, 512U), TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 512U), TensorShape(512U), TensorShape(14U, 14U, 512U), PadStrideInfo(1, 1, 1,
+ 1,
+ DimensionRoundingType::FLOOR),
+ PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::FLOOR));
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(3U, 3U, 512U), TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 512U), TensorShape(512U), TensorShape(14U, 14U, 512U), PadStrideInfo(1, 1, 1,
+ 1,
+ DimensionRoundingType::FLOOR),
+ PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::FLOOR));
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(3U, 3U, 512U), TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 512U), TensorShape(512U), TensorShape(14U, 14U, 512U), PadStrideInfo(1, 1, 1,
+ 1,
+ DimensionRoundingType::FLOOR),
+ PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::FLOOR));
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(3U, 3U, 512U), TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 512U), TensorShape(512U), TensorShape(14U, 14U, 512U), PadStrideInfo(1, 1, 1,
+ 1,
+ DimensionRoundingType::FLOOR),
+ PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::FLOOR));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_MOBILENET_DEPTHWISE_SEPARABLE_CONVOLUTION_LAYER_DATASET */
diff --git a/tests/datasets/NormalizationTypesDataset.h b/tests/datasets/NormalizationTypesDataset.h
new file mode 100644
index 0000000..9b218a7
--- /dev/null
+++ b/tests/datasets/NormalizationTypesDataset.h
@@ -0,0 +1,52 @@
+/*
+ * 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_NORMALIZATION_TYPES_DATASET_H__
+#define __ARM_COMPUTE_TEST_NORMALIZATION_TYPES_DATASET_H__
+
+#include "arm_compute/core/Types.h"
+#include "tests/framework/datasets/ContainerDataset.h"
+
+#include <vector>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class NormalizationTypes final : public framework::dataset::ContainerDataset<std::vector<NormType>>
+{
+public:
+ NormalizationTypes()
+ : ContainerDataset("NormType",
+ {
+ NormType::IN_MAP_1D, NormType::IN_MAP_2D, NormType::CROSS_MAP
+ })
+ {
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_NORMALIZATION_TYPES_DATASET_H__ */
diff --git a/tests/datasets/PoolingLayerDataset.h b/tests/datasets/PoolingLayerDataset.h
new file mode 100644
index 0000000..e5e9cd7
--- /dev/null
+++ b/tests/datasets/PoolingLayerDataset.h
@@ -0,0 +1,111 @@
+/*
+ * 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_POOLING_LAYER_DATASET
+#define ARM_COMPUTE_TEST_POOLING_LAYER_DATASET
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/TypePrinter.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class PoolingLayerDataset
+{
+public:
+ using type = std::tuple<TensorShape, TensorShape, PoolingLayerInfo>;
+
+ struct iterator
+ {
+ iterator(std::vector<TensorShape>::const_iterator src_it,
+ std::vector<TensorShape>::const_iterator dst_it,
+ std::vector<PoolingLayerInfo>::const_iterator infos_it)
+ : _src_it{ std::move(src_it) },
+ _dst_it{ std::move(dst_it) },
+ _infos_it{ std::move(infos_it) }
+ {
+ }
+
+ std::string description() const
+ {
+ std::stringstream description;
+ description << "In=" << *_src_it << ":";
+ description << "Out=" << *_dst_it << ":";
+ description << "Info=" << *_infos_it;
+ return description.str();
+ }
+
+ PoolingLayerDataset::type operator*() const
+ {
+ return std::make_tuple(*_src_it, *_dst_it, *_infos_it);
+ }
+
+ iterator &operator++()
+ {
+ ++_src_it;
+ ++_dst_it;
+ ++_infos_it;
+
+ return *this;
+ }
+
+ private:
+ std::vector<TensorShape>::const_iterator _src_it;
+ std::vector<TensorShape>::const_iterator _dst_it;
+ std::vector<PoolingLayerInfo>::const_iterator _infos_it;
+ };
+
+ iterator begin() const
+ {
+ return iterator(_src_shapes.begin(), _dst_shapes.begin(), _infos.begin());
+ }
+
+ int size() const
+ {
+ return std::min(_src_shapes.size(), std::min(_dst_shapes.size(), _infos.size()));
+ }
+
+ void add_config(TensorShape src, TensorShape dst, PoolingLayerInfo info)
+ {
+ _src_shapes.emplace_back(std::move(src));
+ _dst_shapes.emplace_back(std::move(dst));
+ _infos.emplace_back(std::move(info));
+ }
+
+protected:
+ PoolingLayerDataset() = default;
+ PoolingLayerDataset(PoolingLayerDataset &&) = default;
+
+private:
+ std::vector<TensorShape> _src_shapes{};
+ std::vector<TensorShape> _dst_shapes{};
+ std::vector<PoolingLayerInfo> _infos{};
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_POOLING_LAYER_DATASET */
diff --git a/tests/datasets/PoolingTypesDataset.h b/tests/datasets/PoolingTypesDataset.h
new file mode 100644
index 0000000..5ba8aaf
--- /dev/null
+++ b/tests/datasets/PoolingTypesDataset.h
@@ -0,0 +1,52 @@
+/*
+ * 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_POOLING_TYPES_DATASET_H__
+#define __ARM_COMPUTE_TEST_POOLING_TYPES_DATASET_H__
+
+#include "arm_compute/core/Types.h"
+#include "tests/framework/datasets/ContainerDataset.h"
+
+#include <vector>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class PoolingTypes final : public framework::dataset::ContainerDataset<std::vector<PoolingType>>
+{
+public:
+ PoolingTypes()
+ : ContainerDataset("PoolType",
+ {
+ PoolingType::MAX, PoolingType::AVG
+ })
+ {
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_NORMALIZATION_TYPES_DATASET_H__ */
diff --git a/tests/datasets/ROIPoolingLayerDataset.h b/tests/datasets/ROIPoolingLayerDataset.h
new file mode 100644
index 0000000..65d589e
--- /dev/null
+++ b/tests/datasets/ROIPoolingLayerDataset.h
@@ -0,0 +1,127 @@
+/*
+ * 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_ROI_POOLING_LAYER_DATASET
+#define ARM_COMPUTE_TEST_ROI_POOLING_LAYER_DATASET
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class ROIPoolingLayerDataset
+{
+public:
+ using type = std::tuple<TensorShape, ROIPoolingLayerInfo, int>;
+
+ struct iterator
+ {
+ iterator(std::vector<TensorShape>::const_iterator tensor_shape_it,
+ std::vector<ROIPoolingLayerInfo>::const_iterator infos_it,
+ std::vector<unsigned int>::const_iterator num_rois_it)
+ : _tensor_shape_it{ std::move(tensor_shape_it) },
+ _infos_it{ std::move(infos_it) },
+ _num_rois_it{ std::move(num_rois_it) }
+ {
+ }
+
+ std::string description() const
+ {
+ std::stringstream description;
+ description << "In=" << *_tensor_shape_it << ":";
+ description << "Info=" << *_infos_it << ":";
+ description << "NumROIS=" << *_num_rois_it;
+ return description.str();
+ }
+
+ ROIPoolingLayerDataset::type operator*() const
+ {
+ return std::make_tuple(*_tensor_shape_it, *_infos_it, *_num_rois_it);
+ }
+
+ iterator &operator++()
+ {
+ ++_tensor_shape_it;
+ ++_infos_it;
+ ++_num_rois_it;
+
+ return *this;
+ }
+
+ private:
+ std::vector<TensorShape>::const_iterator _tensor_shape_it;
+ std::vector<ROIPoolingLayerInfo>::const_iterator _infos_it;
+ std::vector<unsigned int>::const_iterator _num_rois_it;
+ };
+
+ iterator begin() const
+ {
+ return iterator(_tensor_shapes.begin(), _infos.begin(), _num_rois.begin());
+ }
+
+ int size() const
+ {
+ return std::min(std::min(_tensor_shapes.size(), _infos.size()), _num_rois.size());
+ }
+
+ void add_config(TensorShape tensor_shape, ROIPoolingLayerInfo info, unsigned int num_rois)
+ {
+ _tensor_shapes.emplace_back(std::move(tensor_shape));
+ _infos.emplace_back(std::move(info));
+ _num_rois.emplace_back(std::move(num_rois));
+ }
+
+protected:
+ ROIPoolingLayerDataset() = default;
+ ROIPoolingLayerDataset(ROIPoolingLayerDataset &&) = default;
+
+private:
+ std::vector<TensorShape> _tensor_shapes{};
+ std::vector<ROIPoolingLayerInfo> _infos{};
+ std::vector<unsigned int> _num_rois{};
+};
+
+class SmallROIPoolingLayerDataset final : public ROIPoolingLayerDataset
+{
+public:
+ SmallROIPoolingLayerDataset()
+ {
+ add_config(TensorShape(50U, 47U, 3U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), 40U);
+ add_config(TensorShape(50U, 47U, 10U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), 80U);
+ add_config(TensorShape(50U, 47U, 80U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), 80U);
+ add_config(TensorShape(50U, 47U, 3U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), 40U);
+ add_config(TensorShape(50U, 47U, 10U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), 80U);
+ add_config(TensorShape(50U, 47U, 80U), ROIPoolingLayerInfo(9U, 9U, 1.f / 8.f), 80U);
+ }
+};
+
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ROI_POOLING_LAYER_DATASET */
diff --git a/tests/datasets/ReductionOperationDataset.h b/tests/datasets/ReductionOperationDataset.h
new file mode 100644
index 0000000..ce1bcb8
--- /dev/null
+++ b/tests/datasets/ReductionOperationDataset.h
@@ -0,0 +1,53 @@
+/*
+ * 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_REDUCTION_OPERATION_DATASET_H__
+#define __ARM_COMPUTE_TEST_REDUCTION_OPERATION_DATASET_H__
+
+#include "arm_compute/core/Types.h"
+#include "tests/TypePrinter.h"
+#include "tests/framework/datasets/ContainerDataset.h"
+
+#include <vector>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class ReductionOperations final : public framework::dataset::ContainerDataset<std::vector<ReductionOperation>>
+{
+public:
+ ReductionOperations()
+ : ContainerDataset("ReductionOperation",
+ {
+ ReductionOperation::SUM_SQUARE
+ })
+ {
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_REDUCTION_OPERATION_DATASET_H__ */
diff --git a/tests/datasets/ShapeDatasets.h b/tests/datasets/ShapeDatasets.h
new file mode 100644
index 0000000..4c449a7
--- /dev/null
+++ b/tests/datasets/ShapeDatasets.h
@@ -0,0 +1,148 @@
+/*
+ * 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_SHAPE_DATASETS_H__
+#define __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__
+
+#include "arm_compute/core/TensorShape.h"
+#include "tests/framework/datasets/Datasets.h"
+
+#include <type_traits>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+/** Data set containing 1D tensor shapes. */
+class Small1DShape final : public framework::dataset::SingletonDataset<TensorShape>
+{
+public:
+ Small1DShape()
+ : SingletonDataset("Shape", TensorShape{ 256U })
+ {
+ }
+};
+
+/** Parent type for all for shape datasets. */
+using ShapeDataset = framework::dataset::ContainerDataset<std::vector<TensorShape>>;
+
+/** Data set containing small 2D tensor shapes. */
+class Small2DShapes final : public ShapeDataset
+{
+public:
+ Small2DShapes()
+ : ShapeDataset("Shape",
+ {
+ TensorShape{ 7U, 7U },
+ TensorShape{ 27U, 13U },
+ TensorShape{ 128U, 64U }
+ })
+ {
+ }
+};
+
+/** Data set containing small tensor shapes. */
+class SmallShapes final : public ShapeDataset
+{
+public:
+ SmallShapes()
+ : ShapeDataset("Shape",
+ {
+ // Batch size 1
+ TensorShape{ 7U, 7U },
+ TensorShape{ 27U, 13U, 2U },
+ TensorShape{ 128U, 64U, 1U, 3U },
+ // Batch size 4
+ TensorShape{ 7U, 7U, 3U, 4U },
+ TensorShape{ 27U, 13U, 2U, 4U },
+ // Arbitrary batch size
+ TensorShape{ 7U, 7U, 3U, 5U }
+ })
+ {
+ }
+};
+
+/** Data set containing large tensor shapes. */
+class LargeShapes final : public ShapeDataset
+{
+public:
+ LargeShapes()
+ : ShapeDataset("Shape",
+ {
+ // Batch size 1
+ TensorShape{ 1920U, 1080U },
+ TensorShape{ 640U, 480U, 2U, 3U },
+ TensorShape{ 4160U, 3120U },
+ // Batch size 4
+ TensorShape{ 800U, 600U, 1U, 4U },
+ })
+ {
+ }
+};
+
+/** Data set containing large 2D tensor shapes. */
+class Large2DShapes final : public ShapeDataset
+{
+public:
+ Large2DShapes()
+ : ShapeDataset("Shape",
+ {
+ TensorShape{ 1920U, 1080U },
+ TensorShape{ 1245U, 652U },
+ TensorShape{ 4160U, 3120U }
+ })
+ {
+ }
+};
+
+/** Data set containing small tensor shapes for direct convolution. */
+class SmallDirectConvolutionShapes final : public ShapeDataset
+{
+public:
+ SmallDirectConvolutionShapes()
+ : ShapeDataset("InputShape",
+ {
+ // Batch size 1
+ TensorShape{ 5U, 5U, 3U },
+ TensorShape{ 32U, 37U, 3U },
+ TensorShape{ 13U, 15U, 8U },
+ // Batch size 4
+ TensorShape{ 5U, 5U, 3U, 4U },
+ TensorShape{ 32U, 37U, 3U, 4U },
+ TensorShape{ 13U, 15U, 8U, 4U },
+ // Batch size 8
+ TensorShape{ 5U, 5U, 3U, 8U },
+ TensorShape{ 32U, 37U, 3U, 8U },
+ TensorShape{ 13U, 15U, 8U, 8U },
+ // Arbitrary batch size
+ TensorShape{ 32U, 37U, 3U, 8U }
+ })
+ {
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_SHAPE_DATASETS_H__ */
diff --git a/tests/datasets/SmallConvolutionLayerDataset.h b/tests/datasets/SmallConvolutionLayerDataset.h
new file mode 100644
index 0000000..1a26fa5
--- /dev/null
+++ b/tests/datasets/SmallConvolutionLayerDataset.h
@@ -0,0 +1,66 @@
+/*
+ * 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_SMALL_CONVOLUTION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_SMALL_CONVOLUTION_LAYER_DATASET
+
+#include "tests/datasets/ConvolutionLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class SmallConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+ SmallConvolutionLayerDataset()
+ {
+ // Batch size 1
+ add_config(TensorShape(23U, 27U, 5U), TensorShape(3U, 3U, 5U, 21U), TensorShape(21U), TensorShape(11U, 25U, 21U), PadStrideInfo(2, 1, 0, 0));
+ add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 5U, 7U, 16U), TensorShape(16U), TensorShape(11U, 12U, 16U), PadStrideInfo(3, 2, 1, 0));
+ add_config(TensorShape(17U, 31U, 2U), TensorShape(5U, 5U, 2U, 19U), TensorShape(19U), TensorShape(15U, 15U, 19U), PadStrideInfo(1, 2, 1, 1));
+ add_config(TensorShape(23U, 27U, 5U), TensorShape(3U, 1U, 5U, 21U), TensorShape(21U), TensorShape(11U, 27U, 21U), PadStrideInfo(2, 1, 0, 0));
+ add_config(TensorShape(33U, 27U, 7U), TensorShape(5U, 7U, 7U, 16U), TensorShape(16U), TensorShape(11U, 11U, 16U), PadStrideInfo(3, 2, 1, 0));
+ add_config(TensorShape(17U, 31U, 2U), TensorShape(5U, 3U, 2U, 19U), TensorShape(19U), TensorShape(15U, 16U, 19U), PadStrideInfo(1, 2, 1, 1));
+ // Batch size 4
+ add_config(TensorShape(23U, 27U, 5U, 4U), TensorShape(3U, 3U, 5U, 21U), TensorShape(21U), TensorShape(11U, 25U, 21U, 4U), PadStrideInfo(2, 1, 0, 0));
+ add_config(TensorShape(33U, 27U, 7U, 4U), TensorShape(5U, 5U, 7U, 16U), TensorShape(16U), TensorShape(11U, 12U, 16U, 4U), PadStrideInfo(3, 2, 1, 0));
+ add_config(TensorShape(17U, 31U, 2U, 4U), TensorShape(5U, 5U, 2U, 19U), TensorShape(19U), TensorShape(15U, 15U, 19U, 4U), PadStrideInfo(1, 2, 1, 1));
+ add_config(TensorShape(23U, 27U, 5U, 4U), TensorShape(3U, 1U, 5U, 21U), TensorShape(21U), TensorShape(11U, 27U, 21U, 4U), PadStrideInfo(2, 1, 0, 0));
+ add_config(TensorShape(33U, 27U, 7U, 4U), TensorShape(5U, 7U, 7U, 16U), TensorShape(16U), TensorShape(11U, 11U, 16U, 4U), PadStrideInfo(3, 2, 1, 0));
+ add_config(TensorShape(17U, 31U, 2U, 4U), TensorShape(5U, 3U, 2U, 19U), TensorShape(19U), TensorShape(15U, 16U, 19U, 4U), PadStrideInfo(1, 2, 1, 1));
+ // Arbitrary batch size
+ add_config(TensorShape(33U, 27U, 7U, 5U), TensorShape(5U, 7U, 7U, 16U), TensorShape(16U), TensorShape(11U, 11U, 16U, 5U), PadStrideInfo(3, 2, 1, 0));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SMALL_CONVOLUTION_LAYER_DATASET */
diff --git a/tests/datasets/SmallDepthwiseConvolutionDataset.h b/tests/datasets/SmallDepthwiseConvolutionDataset.h
new file mode 100644
index 0000000..17d01fb
--- /dev/null
+++ b/tests/datasets/SmallDepthwiseConvolutionDataset.h
@@ -0,0 +1,56 @@
+/*
+ * 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_SMALL_DEPTHWISE_CONVOLUTION_DATASET
+#define ARM_COMPUTE_TEST_SMALL_DEPTHWISE_CONVOLUTION_DATASET
+
+#include "tests/datasets/DepthwiseConvolutionDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class SmallDepthwiseConvolutionDataset final : public DepthwiseConvolutionDataset
+{
+public:
+ SmallDepthwiseConvolutionDataset()
+ {
+ add_config(TensorShape(23U, 27U, 5U), TensorShape(3U, 3U, 5U), TensorShape(11U, 25U, 5U), PadStrideInfo(2, 1, 0, 0));
+ add_config(TensorShape(33U, 27U, 7U), TensorShape(3U, 3U, 7U), TensorShape(11U, 13U, 7U), PadStrideInfo(3, 2, 1, 0));
+ add_config(TensorShape(17U, 31U, 2U), TensorShape(3U, 3U, 2U), TensorShape(17U, 16U, 2U), PadStrideInfo(1, 2, 1, 1));
+ add_config(TensorShape(23U, 27U, 5U), TensorShape(3U, 3U, 5U), TensorShape(21U, 13U, 5U), PadStrideInfo(1, 2, 0, 0));
+ add_config(TensorShape(33U, 27U, 7U), TensorShape(3U, 3U, 7U), TensorShape(16U, 9U, 7U), PadStrideInfo(2, 3, 0, 1));
+ add_config(TensorShape(17U, 31U, 2U), TensorShape(3U, 3U, 2U), TensorShape(9U, 31U, 2U), PadStrideInfo(2, 1, 1, 1));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SMALL_DEPTHWISE_CONVOLUTION_DATASET */
diff --git a/tests/datasets/SmallGEMMDataset.h b/tests/datasets/SmallGEMMDataset.h
new file mode 100644
index 0000000..0cc3c3a
--- /dev/null
+++ b/tests/datasets/SmallGEMMDataset.h
@@ -0,0 +1,54 @@
+/*
+ * 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_SMALL_GEMM_DATASET
+#define ARM_COMPUTE_TEST_SMALL_GEMM_DATASET
+
+#include "tests/datasets/GEMMDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class SmallGEMMDataset final : public GEMMDataset
+{
+public:
+ SmallGEMMDataset()
+ {
+ add_config(TensorShape(21U, 13U), TensorShape(33U, 21U), TensorShape(33U, 13U), TensorShape(33U, 13U), 1.0f, 0.0f);
+ add_config(TensorShape(31U, 1U), TensorShape(23U, 31U), TensorShape(23U, 1U), TensorShape(23U, 1U), 1.0f, 0.0f);
+ add_config(TensorShape(38U, 12U), TensorShape(21U, 38U), TensorShape(21U, 12U), TensorShape(21U, 12U), 0.2f, 1.2f);
+ add_config(TensorShape(32U, 1U), TensorShape(17U, 32U), TensorShape(17U, 1U), TensorShape(17U, 1U), 0.4f, 0.7f);
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SMALL_GEMM_DATASET */
diff --git a/tests/datasets/system_tests/alexnet/AlexNetActivationLayerDataset.h b/tests/datasets/system_tests/alexnet/AlexNetActivationLayerDataset.h
new file mode 100644
index 0000000..4030e97
--- /dev/null
+++ b/tests/datasets/system_tests/alexnet/AlexNetActivationLayerDataset.h
@@ -0,0 +1,58 @@
+/*
+ * 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_ALEXNET_ACTIVATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_ALEXNET_ACTIVATION_LAYER_DATASET
+
+#include "tests/framework/datasets/Datasets.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class AlexNetActivationLayerDataset final : public
+ framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
+{
+public:
+ AlexNetActivationLayerDataset()
+ : CartesianProductDataset
+ {
+ framework::dataset::make("Shape", { TensorShape(55U, 55U, 96U), TensorShape(27U, 27U, 256U), TensorShape(13U, 13U, 384U), TensorShape(13U, 13U, 256U), TensorShape(4096U) }),
+ framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
+ }
+ {
+ }
+ AlexNetActivationLayerDataset(AlexNetActivationLayerDataset &&) = default;
+ ~AlexNetActivationLayerDataset() = default;
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ALEXNET_ACTIVATION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/alexnet/AlexNetConvolutionLayerDataset.h b/tests/datasets/system_tests/alexnet/AlexNetConvolutionLayerDataset.h
new file mode 100644
index 0000000..d0b901a
--- /dev/null
+++ b/tests/datasets/system_tests/alexnet/AlexNetConvolutionLayerDataset.h
@@ -0,0 +1,66 @@
+/*
+ * 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_ALEXNET_CONVOLUTION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_ALEXNET_CONVOLUTION_LAYER_DATASET
+
+#include "tests/datasets/ConvolutionLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class AlexNetConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+ AlexNetConvolutionLayerDataset()
+ {
+ add_config(TensorShape(227U, 227U, 3U), TensorShape(11U, 11U, 3U, 96U), TensorShape(96U), TensorShape(55U, 55U, 96U), PadStrideInfo(4, 4, 0, 0));
+ add_config(TensorShape(27U, 27U, 96U), TensorShape(5U, 5U, 96U, 256U), TensorShape(256U), TensorShape(27U, 27U, 256U), PadStrideInfo(1, 1, 2, 2));
+ add_config(TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 256U), TensorShape(256U), TensorShape(13U, 13U, 256U), PadStrideInfo(1, 1, 1, 1));
+ }
+};
+
+class AlexNetDirectConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+ AlexNetDirectConvolutionLayerDataset()
+ {
+ add_config(TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U), PadStrideInfo(1, 1, 1, 1));
+ add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 256U), TensorShape(256U), TensorShape(13U, 13U, 256U), PadStrideInfo(1, 1, 1, 1));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ALEXNET_CONVOLUTION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/alexnet/AlexNetFullyConnectedLayerDataset.h b/tests/datasets/system_tests/alexnet/AlexNetFullyConnectedLayerDataset.h
new file mode 100644
index 0000000..50b0f7d
--- /dev/null
+++ b/tests/datasets/system_tests/alexnet/AlexNetFullyConnectedLayerDataset.h
@@ -0,0 +1,53 @@
+/*
+ * 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_ALEXNET_FULLYCONNECTED_LAYER_DATASET
+#define ARM_COMPUTE_TEST_ALEXNET_FULLYCONNECTED_LAYER_DATASET
+
+#include "tests/datasets/FullyConnectedLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class AlexNetFullyConnectedLayerDataset final : public FullyConnectedLayerDataset
+{
+public:
+ AlexNetFullyConnectedLayerDataset()
+ {
+ add_config(TensorShape(6U, 6U, 256U), TensorShape(9216U, 4096U), TensorShape(4096U), TensorShape(4096U));
+ add_config(TensorShape(4096U), TensorShape(4096U, 4096U), TensorShape(4096U), TensorShape(4096U));
+ add_config(TensorShape(4096U), TensorShape(4096U, 1000U), TensorShape(1000U), TensorShape(1000U));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ALEXNET_FULLYCONNECTED_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/alexnet/AlexNetNormalizationLayerDataset.h b/tests/datasets/system_tests/alexnet/AlexNetNormalizationLayerDataset.h
new file mode 100644
index 0000000..33b7423
--- /dev/null
+++ b/tests/datasets/system_tests/alexnet/AlexNetNormalizationLayerDataset.h
@@ -0,0 +1,58 @@
+/*
+ * 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_ALEXNET_NORMALIZATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_ALEXNET_NORMALIZATION_LAYER_DATASET
+
+#include "tests/framework/datasets/Datasets.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class AlexNetNormalizationLayerDataset final : public
+ framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<NormalizationLayerInfo>>
+{
+public:
+ AlexNetNormalizationLayerDataset()
+ : CartesianProductDataset
+ {
+ framework::dataset::make("Shape", { TensorShape(55U, 55U, 96U), TensorShape(27U, 27U, 256U) }),
+ framework::dataset::make("Info", NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f))
+ }
+ {
+ }
+ AlexNetNormalizationLayerDataset(AlexNetNormalizationLayerDataset &&) = default;
+ ~AlexNetNormalizationLayerDataset() = default;
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ALEXNET_NORMALIZATION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/alexnet/AlexNetPoolingLayerDataset.h b/tests/datasets/system_tests/alexnet/AlexNetPoolingLayerDataset.h
new file mode 100644
index 0000000..ab2749b
--- /dev/null
+++ b/tests/datasets/system_tests/alexnet/AlexNetPoolingLayerDataset.h
@@ -0,0 +1,53 @@
+/*
+ * 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_ALEXNET_POOLING_LAYER_DATASET
+#define ARM_COMPUTE_TEST_ALEXNET_POOLING_LAYER_DATASET
+
+#include "tests/datasets/PoolingLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class AlexNetPoolingLayerDataset final : public PoolingLayerDataset
+{
+public:
+ AlexNetPoolingLayerDataset()
+ {
+ add_config(TensorShape(55U, 55U, 96U), TensorShape(27U, 27U, 96U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0)));
+ add_config(TensorShape(27U, 27U, 256U), TensorShape(13U, 13U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0)));
+ add_config(TensorShape(13U, 13U, 256U), TensorShape(6U, 6U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0)));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ALEXNET_POOLING_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ActivationLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ActivationLayerDataset.h
new file mode 100644
index 0000000..dc4ffe4
--- /dev/null
+++ b/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ActivationLayerDataset.h
@@ -0,0 +1,123 @@
+/*
+ * 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_GOOGLENETINCEPTIONV1_ACTIVATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_ACTIVATION_LAYER_DATASET
+
+#include "tests/framework/datasets/Datasets.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV1ActivationLayerDataset final : public
+ framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
+{
+public:
+ GoogLeNetInceptionV1ActivationLayerDataset()
+ : CartesianProductDataset
+ {
+ framework::dataset::make("Shape", { // conv1/relu_7x7
+ TensorShape(112U, 112U, 64U),
+ // conv2/relu_3x3_reduce
+ TensorShape(56U, 56U, 64U),
+ // conv2/relu_3x3
+ TensorShape(56U, 56U, 192U),
+ // inception_3a/relu_1x1, inception_3b/relu_pool_proj
+ TensorShape(28U, 28U, 64U),
+ // inception_3a/relu_3x3_reduce, inception_3b/relu_5x5
+ TensorShape(28U, 28U, 96U),
+ // inception_3a/relu_3x3, inception_3b/relu_1x1, inception_3b/relu_3x3_reduce
+ TensorShape(28U, 28U, 128U),
+ // inception_3a/relu_5x5_reduce
+ TensorShape(28U, 28U, 16U),
+ // inception_3a/relu_5x5, inception_3a/relu_pool_proj, inception_3b/relu_5x5_reduce
+ TensorShape(28U, 28U, 32U),
+ // inception_3b/relu_3x3
+ TensorShape(28U, 28U, 192U),
+ // inception_4a/relu_1x1
+ TensorShape(14U, 14U, 192U),
+ // inception_4a/relu_3x3_reduce
+ TensorShape(14U, 14U, 96U),
+ // inception_4a/relu_3x3
+ TensorShape(14U, 14U, 208U),
+ // inception_4a/relu_5x5_reduce
+ TensorShape(14U, 14U, 16U),
+ // inception_4a/relu_5x5
+ TensorShape(14U, 14U, 48U),
+ // inception_4a/relu_pool_proj, inception_4b/relu_5x5, inception_4b/relu_pool_proj, inception_4c/relu_5x5, inception_4c/relu_pool_proj, inception_4d/relu_5x5, inception_4d/relu_pool_proj
+ TensorShape(14U, 14U, 64U),
+ // inception_4b/relu_1x1, inception_4e/relu_3x3_reduce
+ TensorShape(14U, 14U, 160U),
+ // inception_4b/relu_3x3_reduce, inception_4d/relu_1x1
+ TensorShape(14U, 14U, 112U),
+ // inception_4b/relu_3x3
+ TensorShape(14U, 14U, 224U),
+ // inception_4b/relu_5x5_reduce, inception_4c/relu_5x5_reduce
+ TensorShape(14U, 14U, 24U),
+ // inception_4c/relu_1x1, inception_4c/relu_3x3_reduce, inception_4e/relu_5x5, inception_4e/relu_pool_proj
+ TensorShape(14U, 14U, 128U),
+ // inception_4c/relu_3x3, inception_4e/relu_1x1
+ TensorShape(14U, 14U, 256U),
+ // inception_4d/relu_3x3_reduce
+ TensorShape(14U, 14U, 144U),
+ // inception_4d/relu_3x3
+ TensorShape(14U, 14U, 288U),
+ // inception_4d/relu_5x5_reduce, inception_4e/relu_5x5_reduce
+ TensorShape(14U, 14U, 32U),
+ // inception_4e/relu_3x3
+ TensorShape(14U, 14U, 320U),
+ // inception_5a/relu_1x1
+ TensorShape(7U, 7U, 256U),
+ // inception_5a/relu_3x3_reduce
+ TensorShape(7U, 7U, 160U),
+ // inception_5a/relu_3x3
+ TensorShape(7U, 7U, 320U),
+ // inception_5a/relu_5x5_reduce
+ TensorShape(7U, 7U, 32U),
+ // inception_5a/relu_5x5, inception_5a/relu_pool_proj, inception_5b/relu_5x5, inception_5b/relu_pool_proj
+ TensorShape(7U, 7U, 128U),
+ // inception_5b/relu_1x1, inception_5b/relu_3x3
+ TensorShape(7U, 7U, 384U),
+ // inception_5b/relu_3x3_reduce
+ TensorShape(7U, 7U, 192U),
+ // inception_5b/relu_5x5_reduce
+ TensorShape(7U, 7U, 48U) }),
+ framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
+ }
+ {
+ }
+ GoogLeNetInceptionV1ActivationLayerDataset(GoogLeNetInceptionV1ActivationLayerDataset &&) = default;
+ ~GoogLeNetInceptionV1ActivationLayerDataset() = default;
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_ACTIVATION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h
new file mode 100644
index 0000000..a4002d1
--- /dev/null
+++ b/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h
@@ -0,0 +1,237 @@
+/*
+ * 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_GOOGLENETINCEPTIONV1_CONVOLUTION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_CONVOLUTION_LAYER_DATASET
+
+#include "tests/datasets/ConvolutionLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV1ConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+ // GoogLeNetInceptionV1 inception v1 dataset
+ GoogLeNetInceptionV1ConvolutionLayerDataset()
+ {
+ // conv1/7x7_s2
+ add_config(TensorShape(224U, 224U, 3U), TensorShape(7U, 7U, 3U, 64U), TensorShape(64U), TensorShape(112U, 112U, 64U), PadStrideInfo(2, 2, 3, 3));
+ // conv2/3x3_reduce
+ add_config(TensorShape(56U, 56U, 64U), TensorShape(1U, 1U, 64U, 64U), TensorShape(64U), TensorShape(56U, 56U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // conv2/3x3
+ add_config(TensorShape(56U, 56U, 64U), TensorShape(3U, 3U, 64U, 192U), TensorShape(192U), TensorShape(56U, 56U, 192U), PadStrideInfo(1, 1, 1, 1));
+ // inception_3a/1x1
+ add_config(TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 64U), TensorShape(64U), TensorShape(28U, 28U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // inception_3a/3x3_reduce
+ add_config(TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 96U), TensorShape(96U), TensorShape(28U, 28U, 96U), PadStrideInfo(1, 1, 0, 0));
+ // inception_3a/3x3
+ add_config(TensorShape(28U, 28U, 96U), TensorShape(3U, 3U, 96U, 128U), TensorShape(128U), TensorShape(28U, 28U, 128U), PadStrideInfo(1, 1, 1, 1));
+ // inception_3a/5x5_reduce
+ add_config(TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 16U), TensorShape(16U), TensorShape(28U, 28U, 16U), PadStrideInfo(1, 1, 0, 0));
+ // inception_3a/5x5
+ add_config(TensorShape(28U, 28U, 16U), TensorShape(5U, 5U, 16U, 32U), TensorShape(32U), TensorShape(28U, 28U, 32U), PadStrideInfo(1, 1, 2, 2));
+ // inception_3a/pool_proj
+ add_config(TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 32U), TensorShape(32U), TensorShape(28U, 28U, 32U), PadStrideInfo(1, 1, 0, 0));
+ // inception_3b/1x1, inception_3b/3x3_reduce
+ add_config(TensorShape(28U, 28U, 256U), TensorShape(1U, 1U, 256U, 128U), TensorShape(128U), TensorShape(28U, 28U, 128U), PadStrideInfo(1, 1, 0, 0));
+ // inception_3b/3x3
+ add_config(TensorShape(28U, 28U, 128U), TensorShape(3U, 3U, 128U, 192U), TensorShape(192U), TensorShape(28U, 28U, 192U), PadStrideInfo(1, 1, 1, 1));
+ // inception_3b/5x5_reduce
+ add_config(TensorShape(28U, 28U, 256U), TensorShape(1U, 1U, 256U, 32U), TensorShape(32U), TensorShape(28U, 28U, 32U), PadStrideInfo(1, 1, 0, 0));
+ // inception_3b/5x5
+ add_config(TensorShape(28U, 28U, 32U), TensorShape(5U, 5U, 32U, 96U), TensorShape(96U), TensorShape(28U, 28U, 96U), PadStrideInfo(1, 1, 2, 2));
+ // inception_3b/pool_proj
+ add_config(TensorShape(28U, 28U, 256U), TensorShape(1U, 1U, 256U, 64U), TensorShape(64U), TensorShape(28U, 28U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4a/1x1
+ add_config(TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 192U), TensorShape(192U), TensorShape(14U, 14U, 192U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4a/3x3_reduce
+ add_config(TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 96U), TensorShape(96U), TensorShape(14U, 14U, 96U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4a/3x3
+ add_config(TensorShape(14U, 14U, 96U), TensorShape(3U, 3U, 96U, 208U), TensorShape(208U), TensorShape(14U, 14U, 208U), PadStrideInfo(1, 1, 1, 1));
+ // inception_4a/5x5_reduce
+ add_config(TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 16U), TensorShape(16U), TensorShape(14U, 14U, 16U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4a/5x5
+ add_config(TensorShape(14U, 14U, 16U), TensorShape(5U, 5U, 16U, 48U), TensorShape(48U), TensorShape(14U, 14U, 48U), PadStrideInfo(1, 1, 2, 2));
+ // inception_4a/pool_proj
+ add_config(TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 64U), TensorShape(64U), TensorShape(14U, 14U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4b/1x1
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 160U), TensorShape(160U), TensorShape(14U, 14U, 160U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4b/3x3_reduce, inception_4d/1x1
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 112U), TensorShape(112U), TensorShape(14U, 14U, 112U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4b/3x3
+ add_config(TensorShape(14U, 14U, 112U), TensorShape(3U, 3U, 112U, 224U), TensorShape(224U), TensorShape(14U, 14U, 224U), PadStrideInfo(1, 1, 1, 1));
+ // inception_4b/5x5_reduce, inception_4c/5x5_reduce
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 24U), TensorShape(24U), TensorShape(14U, 14U, 24U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4b/5x5, inception_4c/5x5
+ add_config(TensorShape(14U, 14U, 24U), TensorShape(5U, 5U, 24U, 64U), TensorShape(64U), TensorShape(14U, 14U, 64U), PadStrideInfo(1, 1, 2, 2));
+ // inception_4b/pool_proj, inception_4c/pool_proj, inception_4d/pool_proj
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 64U), TensorShape(64U), TensorShape(14U, 14U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4c/1x1, inception_4c/3x3_reduce
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 128U), TensorShape(128U), TensorShape(14U, 14U, 128U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4c/3x3
+ add_config(TensorShape(14U, 14U, 128U), TensorShape(3U, 3U, 128U, 256U), TensorShape(256U), TensorShape(14U, 14U, 256U), PadStrideInfo(1, 1, 1, 1));
+ // inception_4d/3x3_reduce
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 144U), TensorShape(144U), TensorShape(14U, 14U, 144U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4d/3x3
+ add_config(TensorShape(14U, 14U, 144U), TensorShape(3U, 3U, 144U, 288U), TensorShape(288U), TensorShape(14U, 14U, 288U), PadStrideInfo(1, 1, 1, 1));
+ // inception_4d/5x5_reduce
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 32U), TensorShape(32U), TensorShape(14U, 14U, 32U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4d/5x5
+ add_config(TensorShape(14U, 14U, 32U), TensorShape(5U, 5U, 32U, 64U), TensorShape(64U), TensorShape(14U, 14U, 64U), PadStrideInfo(1, 1, 2, 2));
+ // inception_4e/1x1
+ add_config(TensorShape(14U, 14U, 528U), TensorShape(1U, 1U, 528U, 256U), TensorShape(256U), TensorShape(14U, 14U, 256U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4e/3x3_reduce
+ add_config(TensorShape(14U, 14U, 528U), TensorShape(1U, 1U, 528U, 160U), TensorShape(160U), TensorShape(14U, 14U, 160U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4e/3x3
+ add_config(TensorShape(14U, 14U, 160U), TensorShape(3U, 3U, 160U, 320U), TensorShape(320U), TensorShape(14U, 14U, 320U), PadStrideInfo(1, 1, 1, 1));
+ // inception_4e/5x5_reduce
+ add_config(TensorShape(14U, 14U, 528U), TensorShape(1U, 1U, 528U, 32U), TensorShape(32U), TensorShape(14U, 14U, 32U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4e/5x5
+ add_config(TensorShape(14U, 14U, 32U), TensorShape(5U, 5U, 32U, 128U), TensorShape(128U), TensorShape(14U, 14U, 128U), PadStrideInfo(1, 1, 2, 2));
+ // inception_4e/pool_proj
+ add_config(TensorShape(14U, 14U, 528U), TensorShape(1U, 1U, 528U, 128U), TensorShape(128U), TensorShape(14U, 14U, 128U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5a/1x1
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 256U), TensorShape(256U), TensorShape(7U, 7U, 256U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5a/3x3_reduce
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 160U), TensorShape(160U), TensorShape(7U, 7U, 160U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5a/3x3
+ add_config(TensorShape(7U, 7U, 160U), TensorShape(3U, 3U, 160U, 320U), TensorShape(320U), TensorShape(7U, 7U, 320U), PadStrideInfo(1, 1, 1, 1));
+ // inception_5a/5x5_reduce
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 32U), TensorShape(32U), TensorShape(7U, 7U, 32U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5a/5x5
+ add_config(TensorShape(7U, 7U, 32U), TensorShape(5U, 5U, 32U, 128U), TensorShape(128U), TensorShape(7U, 7U, 128U), PadStrideInfo(1, 1, 2, 2));
+ // inception_5a/pool_proj, inception_5b/pool_proj
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 128U), TensorShape(128U), TensorShape(7U, 7U, 128U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5b/1x1
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 384U), TensorShape(384U), TensorShape(7U, 7U, 384U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5b/3x3_reduce
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 192U), TensorShape(192U), TensorShape(7U, 7U, 192U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5b/3x3
+ add_config(TensorShape(7U, 7U, 192U), TensorShape(3U, 3U, 192U, 384U), TensorShape(384U), TensorShape(7U, 7U, 384U), PadStrideInfo(1, 1, 1, 1));
+ // inception_5b/5x5_reduce
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 48U), TensorShape(48U), TensorShape(7U, 7U, 48U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5b/5x5
+ add_config(TensorShape(7U, 7U, 48U), TensorShape(5U, 5U, 48U, 128U), TensorShape(128U), TensorShape(7U, 7U, 128U), PadStrideInfo(1, 1, 2, 2));
+ }
+};
+
+class GoogLeNetInceptionV1DirectConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+ // subset of GoogLeNetInceptionV1 inception v1 dataset
+ GoogLeNetInceptionV1DirectConvolutionLayerDataset()
+ {
+ // conv2/3x3_reduce
+ add_config(TensorShape(56U, 56U, 64U), TensorShape(1U, 1U, 64U, 64U), TensorShape(64U), TensorShape(56U, 56U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // conv2/3x3
+ add_config(TensorShape(56U, 56U, 64U), TensorShape(3U, 3U, 64U, 192U), TensorShape(192U), TensorShape(56U, 56U, 192U), PadStrideInfo(1, 1, 1, 1));
+ // inception_3a/1x1
+ add_config(TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 64U), TensorShape(64U), TensorShape(28U, 28U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // inception_3a/3x3_reduce
+ add_config(TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 96U), TensorShape(96U), TensorShape(28U, 28U, 96U), PadStrideInfo(1, 1, 0, 0));
+ // inception_3a/3x3
+ add_config(TensorShape(28U, 28U, 96U), TensorShape(3U, 3U, 96U, 128U), TensorShape(128U), TensorShape(28U, 28U, 128U), PadStrideInfo(1, 1, 1, 1));
+ // inception_3a/5x5_reduce
+ add_config(TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 16U), TensorShape(16U), TensorShape(28U, 28U, 16U), PadStrideInfo(1, 1, 0, 0));
+ // inception_3a/pool_proj
+ add_config(TensorShape(28U, 28U, 192U), TensorShape(1U, 1U, 192U, 32U), TensorShape(32U), TensorShape(28U, 28U, 32U), PadStrideInfo(1, 1, 0, 0));
+ // inception_3b/1x1, inception_3b/3x3_reduce
+ add_config(TensorShape(28U, 28U, 256U), TensorShape(1U, 1U, 256U, 128U), TensorShape(128U), TensorShape(28U, 28U, 128U), PadStrideInfo(1, 1, 0, 0));
+ // inception_3b/3x3
+ add_config(TensorShape(28U, 28U, 128U), TensorShape(3U, 3U, 128U, 192U), TensorShape(192U), TensorShape(28U, 28U, 192U), PadStrideInfo(1, 1, 1, 1));
+ // inception_3b/5x5_reduce
+ add_config(TensorShape(28U, 28U, 256U), TensorShape(1U, 1U, 256U, 32U), TensorShape(32U), TensorShape(28U, 28U, 32U), PadStrideInfo(1, 1, 0, 0));
+ // inception_3b/pool_proj
+ add_config(TensorShape(28U, 28U, 256U), TensorShape(1U, 1U, 256U, 64U), TensorShape(64U), TensorShape(28U, 28U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4a/1x1
+ add_config(TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 192U), TensorShape(192U), TensorShape(14U, 14U, 192U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4a/3x3_reduce
+ add_config(TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 96U), TensorShape(96U), TensorShape(14U, 14U, 96U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4a/3x3
+ add_config(TensorShape(14U, 14U, 96U), TensorShape(3U, 3U, 96U, 208U), TensorShape(208U), TensorShape(14U, 14U, 208U), PadStrideInfo(1, 1, 1, 1));
+ // inception_4a/pool_proj
+ add_config(TensorShape(14U, 14U, 480U), TensorShape(1U, 1U, 480U, 64U), TensorShape(64U), TensorShape(14U, 14U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4b/1x1
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 160U), TensorShape(160U), TensorShape(14U, 14U, 160U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4b/3x3_reduce, inception_4d/1x1
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 112U), TensorShape(112U), TensorShape(14U, 14U, 112U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4b/3x3
+ add_config(TensorShape(14U, 14U, 112U), TensorShape(3U, 3U, 112U, 224U), TensorShape(224U), TensorShape(14U, 14U, 224U), PadStrideInfo(1, 1, 1, 1));
+ // inception_4b/5x5_reduce, inception_4c/5x5_reduce
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 24U), TensorShape(24U), TensorShape(14U, 14U, 24U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4b/pool_proj, inception_4c/pool_proj, inception_4d/pool_proj
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 64U), TensorShape(64U), TensorShape(14U, 14U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4c/1x1, inception_4c/3x3_reduce
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 128U), TensorShape(128U), TensorShape(14U, 14U, 128U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4c/3x3
+ add_config(TensorShape(14U, 14U, 128U), TensorShape(3U, 3U, 128U, 256U), TensorShape(256U), TensorShape(14U, 14U, 256U), PadStrideInfo(1, 1, 1, 1));
+ // inception_4d/3x3_reduce
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 144U), TensorShape(144U), TensorShape(14U, 14U, 144U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4d/3x3
+ add_config(TensorShape(14U, 14U, 144U), TensorShape(3U, 3U, 144U, 288U), TensorShape(288U), TensorShape(14U, 14U, 288U), PadStrideInfo(1, 1, 1, 1));
+ // inception_4d/5x5_reduce
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(1U, 1U, 512U, 32U), TensorShape(32U), TensorShape(14U, 14U, 32U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4e/1x1
+ add_config(TensorShape(14U, 14U, 528U), TensorShape(1U, 1U, 528U, 256U), TensorShape(256U), TensorShape(14U, 14U, 256U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4e/3x3_reduce
+ add_config(TensorShape(14U, 14U, 528U), TensorShape(1U, 1U, 528U, 160U), TensorShape(160U), TensorShape(14U, 14U, 160U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4e/3x3
+ add_config(TensorShape(14U, 14U, 160U), TensorShape(3U, 3U, 160U, 320U), TensorShape(320U), TensorShape(14U, 14U, 320U), PadStrideInfo(1, 1, 1, 1));
+ // inception_4e/5x5_reduce
+ add_config(TensorShape(14U, 14U, 528U), TensorShape(1U, 1U, 528U, 32U), TensorShape(32U), TensorShape(14U, 14U, 32U), PadStrideInfo(1, 1, 0, 0));
+ // inception_4e/pool_proj
+ add_config(TensorShape(14U, 14U, 528U), TensorShape(1U, 1U, 528U, 128U), TensorShape(128U), TensorShape(14U, 14U, 128U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5a/1x1
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 256U), TensorShape(256U), TensorShape(7U, 7U, 256U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5a/3x3_reduce
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 160U), TensorShape(160U), TensorShape(7U, 7U, 160U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5a/3x3
+ add_config(TensorShape(7U, 7U, 160U), TensorShape(3U, 3U, 160U, 320U), TensorShape(320U), TensorShape(7U, 7U, 320U), PadStrideInfo(1, 1, 1, 1));
+ // inception_5a/5x5_reduce
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 32U), TensorShape(32U), TensorShape(7U, 7U, 32U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5a/pool_proj, inception_5b/pool_proj
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 128U), TensorShape(128U), TensorShape(7U, 7U, 128U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5b/1x1
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 384U), TensorShape(384U), TensorShape(7U, 7U, 384U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5b/3x3_reduce
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 192U), TensorShape(192U), TensorShape(7U, 7U, 192U), PadStrideInfo(1, 1, 0, 0));
+ // inception_5b/3x3
+ add_config(TensorShape(7U, 7U, 192U), TensorShape(3U, 3U, 192U, 384U), TensorShape(384U), TensorShape(7U, 7U, 384U), PadStrideInfo(1, 1, 1, 1));
+ // inception_5b/5x5_reduce
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(1U, 1U, 832U, 48U), TensorShape(48U), TensorShape(7U, 7U, 48U), PadStrideInfo(1, 1, 0, 0));
+ }
+};
+
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_CONVOLUTION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1FullyConnectedLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1FullyConnectedLayerDataset.h
new file mode 100644
index 0000000..80a3473
--- /dev/null
+++ b/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1FullyConnectedLayerDataset.h
@@ -0,0 +1,51 @@
+/*
+ * 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_GOOGLENETINCEPTIONV1_FULLYCONNECTED_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_FULLYCONNECTED_LAYER_DATASET
+
+#include "tests/datasets/FullyConnectedLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV1FullyConnectedLayerDataset final : public FullyConnectedLayerDataset
+{
+public:
+ GoogLeNetInceptionV1FullyConnectedLayerDataset()
+ {
+ add_config(TensorShape(1024U), TensorShape(1024U, 1000U), TensorShape(1000U), TensorShape(1000U));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_FULLYCONNECTED_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1GEMMDataset.h b/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1GEMMDataset.h
new file mode 100644
index 0000000..806ca93
--- /dev/null
+++ b/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1GEMMDataset.h
@@ -0,0 +1,113 @@
+/*
+ * 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_GOOGLENETINCEPTIONV1_GEMM_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_GEMM_DATASET
+
+#include "tests/datasets/GEMMDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV1GEMMDataset final : public GEMMDataset
+{
+public:
+ GoogLeNetInceptionV1GEMMDataset()
+ {
+ add_config(TensorShape(147U, 12544U), TensorShape(64U, 147U), TensorShape(64U, 12544U), TensorShape(64U, 12544U), 1.0f, 0.0f);
+ add_config(TensorShape(64U, 3136U), TensorShape(64U, 64U), TensorShape(64U, 3136U), TensorShape(64U, 3136U), 1.0f, 0.0f);
+ add_config(TensorShape(576U, 3136U), TensorShape(192U, 576U), TensorShape(192U, 3136U), TensorShape(192U, 3136U), 1.0f, 0.0f);
+ add_config(TensorShape(192U, 784U), TensorShape(64U, 192U), TensorShape(64U, 784U), TensorShape(64U, 784U), 1.0f, 0.0f);
+ add_config(TensorShape(192U, 784U), TensorShape(96U, 192U), TensorShape(96U, 784U), TensorShape(96U, 784U), 1.0f, 0.0f);
+ add_config(TensorShape(864U, 784U), TensorShape(128U, 864U), TensorShape(128U, 784U), TensorShape(128U, 784U), 1.0f, 0.0f);
+ add_config(TensorShape(192U, 784U), TensorShape(16U, 192U), TensorShape(16U, 784U), TensorShape(16U, 784U), 1.0f, 0.0f);
+ add_config(TensorShape(400U, 784U), TensorShape(32U, 400U), TensorShape(32U, 784U), TensorShape(32U, 784U), 1.0f, 0.0f);
+ add_config(TensorShape(192U, 784U), TensorShape(32U, 192U), TensorShape(32U, 784U), TensorShape(32U, 784U), 1.0f, 0.0f);
+ add_config(TensorShape(256U, 784U), TensorShape(128U, 256U), TensorShape(128U, 784U), TensorShape(128U, 784U), 1.0f, 0.0f);
+ add_config(TensorShape(256U, 784U), TensorShape(128U, 256U), TensorShape(128U, 784U), TensorShape(128U, 784U), 1.0f, 0.0f);
+ add_config(TensorShape(1152U, 784U), TensorShape(192U, 1152U), TensorShape(192U, 784U), TensorShape(192U, 784U), 1.0f, 0.0f);
+ add_config(TensorShape(256U, 784U), TensorShape(32U, 256U), TensorShape(32U, 784U), TensorShape(32U, 784U), 1.0f, 0.0f);
+ add_config(TensorShape(800U, 784U), TensorShape(96U, 800U), TensorShape(96U, 784U), TensorShape(96U, 784U), 1.0f, 0.0f);
+ add_config(TensorShape(256U, 784U), TensorShape(64U, 256U), TensorShape(64U, 784U), TensorShape(64U, 784U), 1.0f, 0.0f);
+ add_config(TensorShape(480U, 196U), TensorShape(192U, 480U), TensorShape(192U, 196U), TensorShape(192U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(480U, 196U), TensorShape(96U, 480U), TensorShape(96U, 196U), TensorShape(96U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(864U, 196U), TensorShape(204U, 864U), TensorShape(204U, 196U), TensorShape(204U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(480U, 196U), TensorShape(16U, 480U), TensorShape(16U, 196U), TensorShape(16U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(400U, 196U), TensorShape(48U, 400U), TensorShape(48U, 196U), TensorShape(48U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(480U, 196U), TensorShape(64U, 480U), TensorShape(64U, 196U), TensorShape(64U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(508U, 196U), TensorShape(160U, 508U), TensorShape(160U, 196U), TensorShape(160U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(508U, 196U), TensorShape(112U, 508U), TensorShape(112U, 196U), TensorShape(112U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(1008U, 196U), TensorShape(224U, 1008U), TensorShape(224U, 196U), TensorShape(224U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(508U, 196U), TensorShape(24U, 508U), TensorShape(24U, 196U), TensorShape(24U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(600U, 196U), TensorShape(64U, 600U), TensorShape(64U, 196U), TensorShape(64U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(508U, 196U), TensorShape(64U, 508U), TensorShape(64U, 196U), TensorShape(64U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(512U, 196U), TensorShape(128U, 512U), TensorShape(128U, 196U), TensorShape(128U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(512U, 196U), TensorShape(128U, 512U), TensorShape(128U, 196U), TensorShape(128U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(1152U, 196U), TensorShape(256U, 1152U), TensorShape(256U, 196U), TensorShape(256U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(512U, 196U), TensorShape(24U, 512U), TensorShape(24U, 196U), TensorShape(24U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(600U, 196U), TensorShape(64U, 600U), TensorShape(64U, 196U), TensorShape(64U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(512U, 196U), TensorShape(64U, 512U), TensorShape(64U, 196U), TensorShape(64U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(512U, 196U), TensorShape(112U, 512U), TensorShape(112U, 196U), TensorShape(112U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(512U, 196U), TensorShape(144U, 512U), TensorShape(144U, 196U), TensorShape(144U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(1296U, 196U), TensorShape(288U, 1296U), TensorShape(288U, 196U), TensorShape(288U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(512U, 196U), TensorShape(32U, 512U), TensorShape(32U, 196U), TensorShape(32U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(800U, 196U), TensorShape(64U, 800U), TensorShape(64U, 196U), TensorShape(64U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(512U, 196U), TensorShape(64U, 512U), TensorShape(64U, 196U), TensorShape(64U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(528U, 196U), TensorShape(256U, 528U), TensorShape(256U, 196U), TensorShape(256U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(528U, 196U), TensorShape(160U, 528U), TensorShape(160U, 196U), TensorShape(160U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(1440U, 196U), TensorShape(320U, 1440U), TensorShape(320U, 196U), TensorShape(320U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(528U, 196U), TensorShape(32U, 528U), TensorShape(32U, 196U), TensorShape(32U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(800U, 196U), TensorShape(128U, 800U), TensorShape(128U, 196U), TensorShape(128U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(528U, 196U), TensorShape(128U, 528U), TensorShape(128U, 196U), TensorShape(128U, 196U), 1.0f, 0.0f);
+ add_config(TensorShape(832U, 49U), TensorShape(256U, 832U), TensorShape(256U, 49U), TensorShape(256U, 49U), 1.0f, 0.0f);
+ add_config(TensorShape(832U, 49U), TensorShape(160U, 832U), TensorShape(160U, 49U), TensorShape(160U, 49U), 1.0f, 0.0f);
+ add_config(TensorShape(1440U, 49U), TensorShape(320U, 1440U), TensorShape(320U, 49U), TensorShape(320U, 49U), 1.0f, 0.0f);
+ add_config(TensorShape(832U, 49U), TensorShape(48U, 832U), TensorShape(48U, 49U), TensorShape(48U, 49U), 1.0f, 0.0f);
+ add_config(TensorShape(1200U, 49U), TensorShape(128U, 1200U), TensorShape(128U, 49U), TensorShape(128U, 49U), 1.0f, 0.0f);
+ add_config(TensorShape(832U, 49U), TensorShape(128U, 832U), TensorShape(128U, 49U), TensorShape(128U, 49U), 1.0f, 0.0f);
+ add_config(TensorShape(832U, 49U), TensorShape(384U, 832U), TensorShape(384U, 49U), TensorShape(384U, 49U), 1.0f, 0.0f);
+ add_config(TensorShape(832U, 49U), TensorShape(192U, 832U), TensorShape(192U, 49U), TensorShape(192U, 49U), 1.0f, 0.0f);
+ add_config(TensorShape(1728U, 49U), TensorShape(384U, 1728U), TensorShape(384U, 49U), TensorShape(384U, 49U), 1.0f, 0.0f);
+ add_config(TensorShape(832U, 49U), TensorShape(48U, 832U), TensorShape(48U, 49U), TensorShape(48U, 49U), 1.0f, 0.0f);
+ add_config(TensorShape(1200U, 49U), TensorShape(128U, 1200U), TensorShape(128U, 49U), TensorShape(128U, 49U), 1.0f, 0.0f);
+ add_config(TensorShape(832U, 49U), TensorShape(128U, 832U), TensorShape(128U, 49U), TensorShape(128U, 49U), 1.0f, 0.0f);
+ add_config(TensorShape(508U, 16U), TensorShape(128U, 508U), TensorShape(128U, 16U), TensorShape(128U, 16U), 1.0f, 0.0f);
+ add_config(TensorShape(2048U, 1U), TensorShape(1024U, 2048U), TensorShape(1024U, 1U), TensorShape(1024U, 1U), 1.0f, 0.0f);
+ add_config(TensorShape(1024U, 1U), TensorShape(1008U, 1024U), TensorShape(1008U, 1U), TensorShape(1008U, 1U), 1.0f, 0.0f);
+ add_config(TensorShape(528U, 16U), TensorShape(128U, 528U), TensorShape(128U, 16U), TensorShape(128U, 16U), 1.0f, 0.0f);
+ add_config(TensorShape(2048U, 1U), TensorShape(1024U, 2048U), TensorShape(1024U, 1U), TensorShape(1024U, 1U), 1.0f, 0.0f);
+ add_config(TensorShape(1024U, 1U), TensorShape(1008U, 1024U), TensorShape(1008U, 1U), TensorShape(1008U, 1U), 1.0f, 0.0f);
+ add_config(TensorShape(1024U, 1U), TensorShape(1008U, 1024U), TensorShape(1008U, 1U), TensorShape(1008U, 1U), 1.0f, 0.0f);
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_GEMM_DATASET */
diff --git a/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1NormalizationLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1NormalizationLayerDataset.h
new file mode 100644
index 0000000..d8fd061
--- /dev/null
+++ b/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1NormalizationLayerDataset.h
@@ -0,0 +1,61 @@
+/*
+ * 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_GOOGLENETINCEPTIONV1_NORMALIZATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_NORMALIZATION_LAYER_DATASET
+
+#include "tests/framework/datasets/Datasets.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV1NormalizationLayerDataset final : public
+ framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<NormalizationLayerInfo>>
+{
+public:
+ GoogLeNetInceptionV1NormalizationLayerDataset()
+ : CartesianProductDataset
+ {
+ framework::dataset::make("Shape", { // conv2/norm2
+ TensorShape(56U, 56U, 192U),
+ // pool1/norm1
+ TensorShape(56U, 56U, 64U) }),
+ framework::dataset::make("Info", NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f))
+ }
+ {
+ }
+ GoogLeNetInceptionV1NormalizationLayerDataset(GoogLeNetInceptionV1NormalizationLayerDataset &&) = default;
+ ~GoogLeNetInceptionV1NormalizationLayerDataset() = default;
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_NORMALIZATION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1PoolingLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1PoolingLayerDataset.h
new file mode 100644
index 0000000..6164bba
--- /dev/null
+++ b/tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1PoolingLayerDataset.h
@@ -0,0 +1,71 @@
+/*
+ * 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_GOOGLENETINCEPTIONV1_POOLING_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_POOLING_LAYER_DATASET
+
+#include "tests/datasets/PoolingLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV1PoolingLayerDataset final : public PoolingLayerDataset
+{
+public:
+ GoogLeNetInceptionV1PoolingLayerDataset()
+ {
+ // FIXME: Add support for 7x7 pooling layer pool5/7x7_s1
+ // pool1/3x3_s2
+ add_config(TensorShape(112U, 112U, 64U), TensorShape(56U, 56U, 64U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // pool2/3x3_s2
+ add_config(TensorShape(56U, 56U, 192U), TensorShape(28U, 28U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // inception_3a/pool
+ add_config(TensorShape(28U, 28U, 192U), TensorShape(28U, 28U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
+ // inception_3b/pool
+ add_config(TensorShape(28U, 28U, 256U), TensorShape(28U, 28U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
+ // pool3/3x3_s2
+ add_config(TensorShape(28U, 28U, 480U), TensorShape(14U, 14U, 480U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // inception_4a/pool
+ add_config(TensorShape(14U, 14U, 480U), TensorShape(14U, 14U, 480U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
+ // inception_4b/pool, inception_4c/pool, inception_4d/pool
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(14U, 14U, 512U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
+ // inception_4e/pool
+ add_config(TensorShape(14U, 14U, 528U), TensorShape(14U, 14U, 528U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
+ // pool4/3x3_s2
+ add_config(TensorShape(14U, 14U, 832U), TensorShape(7U, 7U, 832U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // inception_5a/pool, inception_5b/pool
+ add_config(TensorShape(7U, 7U, 832U), TensorShape(7U, 7U, 832U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV1_POOLING_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ActivationLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ActivationLayerDataset.h
new file mode 100644
index 0000000..2d58639
--- /dev/null
+++ b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ActivationLayerDataset.h
@@ -0,0 +1,101 @@
+/*
+ * 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_GOOGLENETINCEPTIONV4_ACTIVATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_ACTIVATION_LAYER_DATASET
+
+#include "tests/framework/datasets/Datasets.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV4ActivationLayerDataset final : public
+ framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
+{
+public:
+ GoogLeNetInceptionV4ActivationLayerDataset()
+ : CartesianProductDataset
+ {
+ framework::dataset::make("Shape", { // conv1_3x3_s2_relu
+ TensorShape(149U, 149U, 32U),
+ // conv2_3x3_s1_relu
+ TensorShape(147U, 147U, 32U),
+ // conv3_3x3_s1_relu
+ TensorShape(147U, 147U, 64U),
+ // inception_stem1_3x3_s2_relu
+ TensorShape(73U, 73U, 96U),
+ // inception_stem2_3x3_reduce_relu, inception_stem2_1x7_reduce_relu, inception_stem2_1x7_relu, inception_stem2_7x1_relu
+ TensorShape(73U, 73U, 64U),
+ // inception_stem2_3x3_relu, inception_stem2_3x3_2_relu
+ TensorShape(71U, 71U, 96U),
+ // inception_stem3_3x3_s2_relu, reduction_a_3x3_2_reduce_relu
+ TensorShape(35U, 35U, 192U),
+ // inception_a1_1x1_2_relu, inception_a1_3x3_relu, inception_a1_3x3_2_relu, inception_a1_3x3_3_relu, inception_a1_1x1_relu, inception_a2_1x1_2_relu, inception_a2_3x3_relu, inception_a2_3x3_2_relu, inception_a2_3x3_3_relu, inception_a2_1x1_relu, inception_a3_1x1_2_relu, inception_a3_3x3_relu, inception_a3_3x3_2_relu, inception_a3_3x3_3_relu, inception_a3_1x1_relu, inception_a4_1x1_2_relu, inception_a4_3x3_relu, inception_a4_3x3_2_relu, inception_a4_3x3_3_relu, inception_a4_1x1_relu
+ TensorShape(35U, 35U, 96U),
+ // inception_a1_3x3_reduce_relu, inception_a1_3x3_2_reduce_relu, inception_a2_3x3_reduce_relu, inception_a2_3x3_2_reduce_relu, inception_a3_3x3_reduce_relu, inception_a3_3x3_2_reduce_relu, inception_a4_3x3_reduce_relu, inception_a4_3x3_2_reduce_relu
+ TensorShape(35U, 35U, 64U),
+ // reduction_a_3x3_relu, inception_b1_1x1_2_relu, inception_b2_1x1_2_relu, inception_b3_1x1_2_relu, inception_b4_1x1_2_relu, inception_b5_1x1_2_relu, inception_b6_1x1_2_relu, inception_b7_1x1_2_relu
+ TensorShape(17U, 17U, 384U),
+ // reduction_a_3x3_2_relu
+ TensorShape(35U, 35U, 224U),
+ // reduction_a_3x3_3_relu, inception_b1_7x1_relu, inception_b1_1x7_3_relu, inception_b2_7x1_relu, inception_b2_1x7_3_relu, inception_b3_7x1_relu, inception_b3_1x7_3_relu, inception_b4_7x1_relu, inception_b4_1x7_3_relu, inception_b5_7x1_relu, inception_b5_1x7_3_relu, inception_b6_7x1_relu, inception_b6_1x7_3_relu, inception_b7_7x1_relu, inception_b7_1x7_3_relu, reduction_b_1x7_reduce_relu, reduction_b_1x7_relu
+ TensorShape(17U, 17U, 256U),
+ // inception_b1_1x7_reduce_relu, inception_b1_7x1_2_reduce_relu, inception_b1_7x1_2_relu, inception_b2_1x7_reduce_relu, inception_b2_7x1_2_reduce_relu, inception_b2_7x1_2_relu, inception_b3_1x7_reduce_relu, inception_b3_7x1_2_reduce_relu, inception_b3_7x1_2_relu, inception_b4_1x7_reduce_relu, inception_b4_7x1_2_reduce_relu, inception_b4_7x1_2_relu, inception_b5_1x7_reduce_relu, inception_b5_7x1_2_reduce_relu, inception_b5_7x1_2_relu, inception_b6_1x7_reduce_relu, inception_b6_7x1_2_reduce_relu, inception_b6_7x1_2_relu, inception_b7_1x7_reduce_relu, inception_b7_7x1_2_reduce_relu, inception_b7_7x1_2_relu, reduction_b_3x3_reduce_relu
+ TensorShape(17U, 17U, 192U),
+ // inception_b1_1x7_relu, inception_b1_1x7_2_relu, inception_b1_7x1_3_relu, inception_b2_1x7_relu, inception_b2_1x7_2_relu, inception_b2_7x1_3_relu, inception_b3_1x7_relu, inception_b3_1x7_2_relu, inception_b3_7x1_3_relu, inception_b4_1x7_relu, inception_b4_1x7_2_relu, inception_b4_7x1_3_relu, inception_b5_1x7_relu, inception_b5_1x7_2_relu, inception_b5_7x1_3_relu, inception_b6_1x7_relu, inception_b6_1x7_2_relu, inception_b6_7x1_3_relu, inception_b7_1x7_relu, inception_b7_1x7_2_relu, inception_b7_7x1_3_relu
+ TensorShape(17U, 17U, 224U),
+ // inception_b1_1x1_relu, inception_b2_1x1_relu, inception_b3_1x1_relu, inception_b4_1x1_relu, inception_b5_1x1_relu, inception_b6_1x1_relu, inception_b7_1x1_relu
+ TensorShape(17U, 17U, 128U),
+ // reduction_b_3x3_relu
+ TensorShape(8U, 8U, 192U),
+ // reduction_b_7x1_relu
+ TensorShape(17U, 17U, 320U),
+ // reduction_b_3x3_2_relu
+ TensorShape(8U, 8U, 320U),
+ // inception_c1_1x1_2_relu, inception_c1_1x3_relu, inception_c1_3x1_relu, inception_c1_1x3_3_relu, inception_c1_3x1_3_relu, inception_c1_1x1_relu, inception_c2_1x1_2_relu, inception_c2_1x3_relu, inception_c2_3x1_relu, inception_c2_1x3_3_relu, inception_c2_3x1_3_relu, inception_c2_1x1_relu, inception_c3_1x1_2_relu, inception_c3_1x3_relu, inception_c3_3x1_relu, inception_c3_1x3_3_relu, inception_c3_3x1_3_relu, inception_c3_1x1_relu
+ TensorShape(8U, 8U, 256U),
+ // inception_c1_1x1_3_relu, inception_c1_1x1_4_relu, inception_c2_1x1_3_relu, inception_c2_1x1_4_relu, inception_c3_1x1_3_relu, inception_c3_1x1_4_relu
+ TensorShape(8U, 8U, 384U),
+ // inception_c1_3x1_2_relu, inception_c2_3x1_2_relu, inception_c3_3x1_2_relu
+ TensorShape(8U, 8U, 448U),
+ // inception_c1_1x3_2_relu, inception_c2_1x3_2_relu, inception_c3_1x3_2_relu
+ TensorShape(8U, 8U, 512U) }),
+ framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
+ }
+ {
+ }
+ GoogLeNetInceptionV4ActivationLayerDataset(GoogLeNetInceptionV4ActivationLayerDataset &&) = default;
+ ~GoogLeNetInceptionV4ActivationLayerDataset() = default;
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_ACTIVATION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h
new file mode 100644
index 0000000..d96410f
--- /dev/null
+++ b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h
@@ -0,0 +1,94 @@
+/*
+ * 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_GOOGLENETINCEPTIONV4_BATCHNORMALIZATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_BATCHNORMALIZATION_LAYER_DATASET
+
+#include "tests/datasets/BatchNormalizationLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV4BatchNormalizationLayerDataset final : public BatchNormalizationLayerDataset
+{
+public:
+ GoogLeNetInceptionV4BatchNormalizationLayerDataset()
+ {
+ // conv1_3x3_s2_bn
+ add_config(TensorShape(149U, 149U, 32U), TensorShape(32U), 0.000010f);
+ // conv2_3x3_s1_bn
+ add_config(TensorShape(147U, 147U, 32U), TensorShape(32U), 0.000010f);
+ // conv3_3x3_s1_bn
+ add_config(TensorShape(147U, 147U, 64U), TensorShape(64U), 0.000010f);
+ // inception_stem1_3x3_s2_bn
+ add_config(TensorShape(73U, 73U, 96U), TensorShape(96U), 0.000010f);
+ // inception_stem2_3x3_reduce_bn, inception_stem2_1x7_reduce_bn, inception_stem2_1x7_bn, inception_stem2_7x1_bn
+ add_config(TensorShape(73U, 73U, 64U), TensorShape(64U), 0.000010f);
+ // inception_stem2_3x3_bn, inception_stem2_3x3_2_bn
+ add_config(TensorShape(71U, 71U, 96U), TensorShape(96U), 0.000010f);
+ // inception_stem3_3x3_s2_bn, reduction_a_3x3_2_reduce_bn
+ add_config(TensorShape(35U, 35U, 192U), TensorShape(192U), 0.000010f);
+ // inception_a1_1x1_2_bn, inception_a1_3x3_bn, inception_a1_3x3_2_bn, inception_a1_3x3_3_bn, inception_a1_1x1_bn, inception_a2_1x1_2_bn, inception_a2_3x3_bn, inception_a2_3x3_2_bn, inception_a2_3x3_3_bn, inception_a2_1x1_bn, inception_a3_1x1_2_bn, inception_a3_3x3_bn, inception_a3_3x3_2_bn, inception_a3_3x3_3_bn, inception_a3_1x1_bn, inception_a4_1x1_2_bn, inception_a4_3x3_bn, inception_a4_3x3_2_bn, inception_a4_3x3_3_bn, inception_a4_1x1_bn
+ add_config(TensorShape(35U, 35U, 96U), TensorShape(96U), 0.000010f);
+ // inception_a1_3x3_reduce_bn, inception_a1_3x3_2_reduce_bn, inception_a2_3x3_reduce_bn, inception_a2_3x3_2_reduce_bn, inception_a3_3x3_reduce_bn, inception_a3_3x3_2_reduce_bn, inception_a4_3x3_reduce_bn, inception_a4_3x3_2_reduce_bn
+ add_config(TensorShape(35U, 35U, 64U), TensorShape(64U), 0.000010f);
+ // reduction_a_3x3_bn, inception_b1_1x1_2_bn, inception_b2_1x1_2_bn, inception_b3_1x1_2_bn, inception_b4_1x1_2_bn, inception_b5_1x1_2_bn, inception_b6_1x1_2_bn, inception_b7_1x1_2_bn
+ add_config(TensorShape(17U, 17U, 384U), TensorShape(384U), 0.000010f);
+ // reduction_a_3x3_2_bn
+ add_config(TensorShape(35U, 35U, 224U), TensorShape(224U), 0.000010f);
+ // reduction_a_3x3_3_bn, inception_b1_7x1_bn, inception_b1_1x7_3_bn, inception_b2_7x1_bn, inception_b2_1x7_3_bn, inception_b3_7x1_bn, inception_b3_1x7_3_bn, inception_b4_7x1_bn, inception_b4_1x7_3_bn, inception_b5_7x1_bn, inception_b5_1x7_3_bn, inception_b6_7x1_bn, inception_b6_1x7_3_bn, inception_b7_7x1_bn, inception_b7_1x7_3_bn, reduction_b_1x7_reduce_bn, reduction_b_1x7_bn
+ add_config(TensorShape(17U, 17U, 256U), TensorShape(256U), 0.000010f);
+ // inception_b1_1x7_reduce_bn, inception_b1_7x1_2_reduce_bn, inception_b1_7x1_2_bn, inception_b2_1x7_reduce_bn, inception_b2_7x1_2_reduce_bn, inception_b2_7x1_2_bn, inception_b3_1x7_reduce_bn, inception_b3_7x1_2_reduce_bn, inception_b3_7x1_2_bn, inception_b4_1x7_reduce_bn, inception_b4_7x1_2_reduce_bn, inception_b4_7x1_2_bn, inception_b5_1x7_reduce_bn, inception_b5_7x1_2_reduce_bn, inception_b5_7x1_2_bn, inception_b6_1x7_reduce_bn, inception_b6_7x1_2_reduce_bn, inception_b6_7x1_2_bn, inception_b7_1x7_reduce_bn, inception_b7_7x1_2_reduce_bn, inception_b7_7x1_2_bn, reduction_b_3x3_reduce_bn
+ add_config(TensorShape(17U, 17U, 192U), TensorShape(192U), 0.000010f);
+ // inception_b1_1x7_bn, inception_b1_1x7_2_bn, inception_b1_7x1_3_bn, inception_b2_1x7_bn, inception_b2_1x7_2_bn, inception_b2_7x1_3_bn, inception_b3_1x7_bn, inception_b3_1x7_2_bn, inception_b3_7x1_3_bn, inception_b4_1x7_bn, inception_b4_1x7_2_bn, inception_b4_7x1_3_bn, inception_b5_1x7_bn, inception_b5_1x7_2_bn, inception_b5_7x1_3_bn, inception_b6_1x7_bn, inception_b6_1x7_2_bn, inception_b6_7x1_3_bn, inception_b7_1x7_bn, inception_b7_1x7_2_bn, inception_b7_7x1_3_bn
+ add_config(TensorShape(17U, 17U, 224U), TensorShape(224U), 0.000010f);
+ // inception_b1_1x1_bn, inception_b2_1x1_bn, inception_b3_1x1_bn, inception_b4_1x1_bn, inception_b5_1x1_bn, inception_b6_1x1_bn, inception_b7_1x1_bn
+ add_config(TensorShape(17U, 17U, 128U), TensorShape(128U), 0.000010f);
+ // reduction_b_3x3_bn
+ add_config(TensorShape(8U, 8U, 192U), TensorShape(192U), 0.000010f);
+ // reduction_b_7x1_bn
+ add_config(TensorShape(17U, 17U, 320U), TensorShape(320U), 0.000010f);
+ // reduction_b_3x3_2_bn
+ add_config(TensorShape(8U, 8U, 320U), TensorShape(320U), 0.000010f);
+ // inception_c1_1x1_2_bn, inception_c1_1x3_bn, inception_c1_3x1_bn, inception_c1_1x3_3_bn, inception_c1_3x1_3_bn, inception_c1_1x1_bn, inception_c2_1x1_2_bn, inception_c2_1x3_bn, inception_c2_3x1_bn, inception_c2_1x3_3_bn, inception_c2_3x1_3_bn, inception_c2_1x1_bn, inception_c3_1x1_2_bn, inception_c3_1x3_bn, inception_c3_3x1_bn, inception_c3_1x3_3_bn, inception_c3_3x1_3_bn, inception_c3_1x1_bn
+ add_config(TensorShape(8U, 8U, 256U), TensorShape(256U), 0.000010f);
+ // inception_c1_1x1_3_bn, inception_c1_1x1_4_bn, inception_c2_1x1_3_bn, inception_c2_1x1_4_bn, inception_c3_1x1_3_bn, inception_c3_1x1_4_bn
+ add_config(TensorShape(8U, 8U, 384U), TensorShape(384U), 0.000010f);
+ // inception_c1_3x1_2_bn, inception_c2_3x1_2_bn, inception_c3_3x1_2_bn
+ add_config(TensorShape(8U, 8U, 448U), TensorShape(448U), 0.000010f);
+ // inception_c1_1x3_2_bn, inception_c2_1x3_2_bn, inception_c3_1x3_2_bn
+ add_config(TensorShape(8U, 8U, 512U), TensorShape(512U), 0.000010f);
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_BATCHNORMALIZATION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h
new file mode 100644
index 0000000..a050d3d
--- /dev/null
+++ b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h
@@ -0,0 +1,184 @@
+/*
+ * 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_GOOGLENETINCEPTIONV4_CONVOLUTION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_CONVOLUTION_LAYER_DATASET
+
+#include "tests/datasets/ConvolutionLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV4ConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+ // GoogLeNetInceptionV4 inception v1 dataset
+ GoogLeNetInceptionV4ConvolutionLayerDataset()
+ {
+ // conv1_3x3_s2
+ add_config(TensorShape(299U, 299U, 3U), TensorShape(3U, 3U, 3U, 32U), TensorShape(32U), TensorShape(149U, 149U, 32U), PadStrideInfo(2, 2, 0, 0));
+ // conv2_3x3_s1
+ add_config(TensorShape(149U, 149U, 32U), TensorShape(3U, 3U, 32U, 32U), TensorShape(32U), TensorShape(147U, 147U, 32U), PadStrideInfo(1, 1, 0, 0));
+ // conv3_3x3_s1
+ add_config(TensorShape(147U, 147U, 32U), TensorShape(3U, 3U, 32U, 64U), TensorShape(64U), TensorShape(147U, 147U, 64U), PadStrideInfo(1, 1, 1, 1));
+ // inception_stem1_3x3_s2
+ add_config(TensorShape(147U, 147U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(73U, 73U, 96U), PadStrideInfo(2, 2, 0, 0));
+ // inception_stem2_3x3_reduce, inception_stem2_1x7_reduce
+ add_config(TensorShape(73U, 73U, 160U), TensorShape(1U, 1U, 160U, 64U), TensorShape(64U), TensorShape(73U, 73U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // inception_stem2_3x3, inception_stem2_3x3_2
+ add_config(TensorShape(73U, 73U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(71U, 71U, 96U), PadStrideInfo(1, 1, 0, 0));
+ // inception_stem2_1x7
+ add_config(TensorShape(73U, 73U, 64U), TensorShape(7U, 1U, 64U, 64U), TensorShape(64U), TensorShape(73U, 73U, 64U), PadStrideInfo(1, 1, 3, 0));
+ // inception_stem2_7x1
+ add_config(TensorShape(73U, 73U, 64U), TensorShape(1U, 7U, 64U, 64U), TensorShape(64U), TensorShape(73U, 73U, 64U), PadStrideInfo(1, 1, 0, 3));
+ // inception_stem3_3x3_s2
+ add_config(TensorShape(71U, 71U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(35U, 35U, 192U), PadStrideInfo(2, 2, 0, 0));
+ // inception_a1_1x1_2, inception_a1_1x1, inception_a2_1x1_2, inception_a2_1x1, inception_a3_1x1_2, inception_a3_1x1, inception_a4_1x1_2, inception_a4_1x1
+ add_config(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 0, 0));
+ // inception_a1_3x3_reduce, inception_a1_3x3_2_reduce, inception_a2_3x3_reduce, inception_a2_3x3_2_reduce, inception_a3_3x3_reduce, inception_a3_3x3_2_reduce, inception_a4_3x3_reduce, inception_a4_3x3_2_reduce
+ add_config(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 64U), TensorShape(64U), TensorShape(35U, 35U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // inception_a1_3x3, inception_a1_3x3_2, inception_a2_3x3, inception_a2_3x3_2, inception_a3_3x3, inception_a3_3x3_2, inception_a4_3x3, inception_a4_3x3_2
+ add_config(TensorShape(35U, 35U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 1, 1));
+ // inception_a1_3x3_3, inception_a2_3x3_3, inception_a3_3x3_3, inception_a4_3x3_3
+ add_config(TensorShape(35U, 35U, 96U), TensorShape(3U, 3U, 96U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 1, 1));
+ // reduction_a_3x3
+ add_config(TensorShape(35U, 35U, 384U), TensorShape(3U, 3U, 384U, 384U), TensorShape(384U), TensorShape(17U, 17U, 384U), PadStrideInfo(2, 2, 0, 0));
+ // reduction_a_3x3_2_reduce
+ add_config(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 192U), TensorShape(192U), TensorShape(35U, 35U, 192U), PadStrideInfo(1, 1, 0, 0));
+ // reduction_a_3x3_2
+ add_config(TensorShape(35U, 35U, 192U), TensorShape(3U, 3U, 192U, 224U), TensorShape(224U), TensorShape(35U, 35U, 224U), PadStrideInfo(1, 1, 1, 1));
+ // reduction_a_3x3_3
+ add_config(TensorShape(35U, 35U, 224U), TensorShape(3U, 3U, 224U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(2, 2, 0, 0));
+ // inception_b1_1x1_2, inception_b2_1x1_2, inception_b3_1x1_2, inception_b4_1x1_2, inception_b5_1x1_2, inception_b6_1x1_2, inception_b7_1x1_2
+ add_config(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 384U), TensorShape(384U), TensorShape(17U, 17U, 384U), PadStrideInfo(1, 1, 0, 0));
+ // inception_b1_1x7_reduce, inception_b1_7x1_2_reduce, inception_b2_1x7_reduce, inception_b2_7x1_2_reduce, inception_b3_1x7_reduce, inception_b3_7x1_2_reduce, inception_b4_1x7_reduce, inception_b4_7x1_2_reduce, inception_b5_1x7_reduce, inception_b5_7x1_2_reduce, inception_b6_1x7_reduce, inception_b6_7x1_2_reduce, inception_b7_1x7_reduce, inception_b7_7x1_2_reduce, reduction_b_3x3_reduce
+ add_config(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 192U), TensorShape(192U), TensorShape(17U, 17U, 192U), PadStrideInfo(1, 1, 0, 0));
+ // inception_b1_1x7, inception_b1_1x7_2, inception_b2_1x7, inception_b2_1x7_2, inception_b3_1x7, inception_b3_1x7_2, inception_b4_1x7, inception_b4_1x7_2, inception_b5_1x7, inception_b5_1x7_2, inception_b6_1x7, inception_b6_1x7_2, inception_b7_1x7, inception_b7_1x7_2
+ add_config(TensorShape(17U, 17U, 192U), TensorShape(7U, 1U, 192U, 224U), TensorShape(224U), TensorShape(17U, 17U, 224U), PadStrideInfo(1, 1, 3, 0));
+ // inception_b1_7x1, inception_b2_7x1, inception_b3_7x1, inception_b4_7x1, inception_b5_7x1, inception_b6_7x1, inception_b7_7x1
+ add_config(TensorShape(17U, 17U, 224U), TensorShape(1U, 7U, 224U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 0, 3));
+ // inception_b1_7x1_2, inception_b2_7x1_2, inception_b3_7x1_2, inception_b4_7x1_2, inception_b5_7x1_2, inception_b6_7x1_2, inception_b7_7x1_2
+ add_config(TensorShape(17U, 17U, 192U), TensorShape(1U, 7U, 192U, 192U), TensorShape(192U), TensorShape(17U, 17U, 192U), PadStrideInfo(1, 1, 0, 3));
+ // inception_b1_7x1_3, inception_b2_7x1_3, inception_b3_7x1_3, inception_b4_7x1_3, inception_b5_7x1_3, inception_b6_7x1_3, inception_b7_7x1_3
+ add_config(TensorShape(17U, 17U, 224U), TensorShape(1U, 7U, 224U, 224U), TensorShape(224U), TensorShape(17U, 17U, 224U), PadStrideInfo(1, 1, 0, 3));
+ // inception_b1_1x7_3, inception_b2_1x7_3, inception_b3_1x7_3, inception_b4_1x7_3, inception_b5_1x7_3, inception_b6_1x7_3, inception_b7_1x7_3
+ add_config(TensorShape(17U, 17U, 224U), TensorShape(7U, 1U, 224U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 3, 0));
+ // inception_b1_1x1, inception_b2_1x1, inception_b3_1x1, inception_b4_1x1, inception_b5_1x1, inception_b6_1x1, inception_b7_1x1
+ add_config(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 128U), TensorShape(128U), TensorShape(17U, 17U, 128U), PadStrideInfo(1, 1, 0, 0));
+ // reduction_b_3x3
+ add_config(TensorShape(17U, 17U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(8U, 8U, 192U), PadStrideInfo(2, 2, 0, 0));
+ // reduction_b_1x7_reduce
+ add_config(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 0, 0));
+ // reduction_b_1x7
+ add_config(TensorShape(17U, 17U, 256U), TensorShape(7U, 1U, 256U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 3, 0));
+ // reduction_b_7x1
+ add_config(TensorShape(17U, 17U, 256U), TensorShape(1U, 7U, 256U, 320U), TensorShape(320U), TensorShape(17U, 17U, 320U), PadStrideInfo(1, 1, 0, 3));
+ // reduction_b_3x3_2
+ add_config(TensorShape(17U, 17U, 320U), TensorShape(3U, 3U, 320U, 320U), TensorShape(320U), TensorShape(8U, 8U, 320U), PadStrideInfo(2, 2, 0, 0));
+ // inception_c1_1x1_2, inception_c1_1x1, inception_c2_1x1_2, inception_c2_1x1, inception_c3_1x1_2, inception_c3_1x1
+ add_config(TensorShape(8U, 8U, 1536U), TensorShape(1U, 1U, 1536U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 0, 0));
+ // inception_c1_1x1_3, inception_c1_1x1_4, inception_c2_1x1_3, inception_c2_1x1_4, inception_c3_1x1_3, inception_c3_1x1_4
+ add_config(TensorShape(8U, 8U, 1536U), TensorShape(1U, 1U, 1536U, 384U), TensorShape(384U), TensorShape(8U, 8U, 384U), PadStrideInfo(1, 1, 0, 0));
+ // inception_c1_1x3, inception_c2_1x3, inception_c3_1x3
+ add_config(TensorShape(8U, 8U, 384U), TensorShape(3U, 1U, 384U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 1, 0));
+ // inception_c1_3x1, inception_c2_3x1, inception_c3_3x1
+ add_config(TensorShape(8U, 8U, 384U), TensorShape(1U, 3U, 384U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 0, 1));
+ // inception_c1_3x1_2, inception_c2_3x1_2, inception_c3_3x1_2
+ add_config(TensorShape(8U, 8U, 384U), TensorShape(1U, 3U, 384U, 448U), TensorShape(448U), TensorShape(8U, 8U, 448U), PadStrideInfo(1, 1, 0, 1));
+ // inception_c1_1x3_2, inception_c2_1x3_2, inception_c3_1x3_2
+ add_config(TensorShape(8U, 8U, 448U), TensorShape(3U, 1U, 448U, 512U), TensorShape(512U), TensorShape(8U, 8U, 512U), PadStrideInfo(1, 1, 1, 0));
+ // inception_c1_1x3_3, inception_c2_1x3_3, inception_c3_1x3_3
+ add_config(TensorShape(8U, 8U, 512U), TensorShape(3U, 1U, 512U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 1, 0));
+ // inception_c1_3x1_3, inception_c2_3x1_3, inception_c3_3x1_3
+ add_config(TensorShape(8U, 8U, 512U), TensorShape(1U, 3U, 512U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 0, 1));
+ }
+};
+
+/** A subset of GoogLeNetInceptionV4 convolution layers with filter dimensions supported by DirectConvolution kernel */
+class GoogLeNetInceptionV4DirectConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+ // subset of GoogLeNetInceptionV4 inception v1 dataset
+ GoogLeNetInceptionV4DirectConvolutionLayerDataset()
+ {
+ // conv1_3x3_s2
+ add_config(TensorShape(299U, 299U, 3U), TensorShape(3U, 3U, 3U, 32U), TensorShape(32U), TensorShape(149U, 149U, 32U), PadStrideInfo(2, 2, 0, 0));
+ // conv2_3x3_s1
+ add_config(TensorShape(149U, 149U, 32U), TensorShape(3U, 3U, 32U, 32U), TensorShape(32U), TensorShape(147U, 147U, 32U), PadStrideInfo(1, 1, 0, 0));
+ // conv3_3x3_s1
+ add_config(TensorShape(147U, 147U, 32U), TensorShape(3U, 3U, 32U, 64U), TensorShape(64U), TensorShape(147U, 147U, 64U), PadStrideInfo(1, 1, 1, 1));
+ // inception_stem1_3x3_s2
+ add_config(TensorShape(147U, 147U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(73U, 73U, 96U), PadStrideInfo(2, 2, 0, 0));
+ // inception_stem2_3x3_reduce, inception_stem2_1x7_reduce
+ add_config(TensorShape(73U, 73U, 160U), TensorShape(1U, 1U, 160U, 64U), TensorShape(64U), TensorShape(73U, 73U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // inception_stem2_3x3, inception_stem2_3x3_2
+ add_config(TensorShape(73U, 73U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(71U, 71U, 96U), PadStrideInfo(1, 1, 0, 0));
+ // inception_stem3_3x3_s2
+ add_config(TensorShape(71U, 71U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(35U, 35U, 192U), PadStrideInfo(2, 2, 0, 0));
+ // inception_a1_1x1_2, inception_a1_1x1, inception_a2_1x1_2, inception_a2_1x1, inception_a3_1x1_2, inception_a3_1x1, inception_a4_1x1_2, inception_a4_1x1
+ add_config(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 0, 0));
+ // inception_a1_3x3_reduce, inception_a1_3x3_2_reduce, inception_a2_3x3_reduce, inception_a2_3x3_2_reduce, inception_a3_3x3_reduce, inception_a3_3x3_2_reduce, inception_a4_3x3_reduce, inception_a4_3x3_2_reduce
+ add_config(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 64U), TensorShape(64U), TensorShape(35U, 35U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // inception_a1_3x3, inception_a1_3x3_2, inception_a2_3x3, inception_a2_3x3_2, inception_a3_3x3, inception_a3_3x3_2, inception_a4_3x3, inception_a4_3x3_2
+ add_config(TensorShape(35U, 35U, 64U), TensorShape(3U, 3U, 64U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 1, 1));
+ // inception_a1_3x3_3, inception_a2_3x3_3, inception_a3_3x3_3, inception_a4_3x3_3
+ add_config(TensorShape(35U, 35U, 96U), TensorShape(3U, 3U, 96U, 96U), TensorShape(96U), TensorShape(35U, 35U, 96U), PadStrideInfo(1, 1, 1, 1));
+ // reduction_a_3x3
+ add_config(TensorShape(35U, 35U, 384U), TensorShape(3U, 3U, 384U, 384U), TensorShape(384U), TensorShape(17U, 17U, 384U), PadStrideInfo(2, 2, 0, 0));
+ // reduction_a_3x3_2_reduce
+ add_config(TensorShape(35U, 35U, 384U), TensorShape(1U, 1U, 384U, 192U), TensorShape(192U), TensorShape(35U, 35U, 192U), PadStrideInfo(1, 1, 0, 0));
+ // reduction_a_3x3_2
+ add_config(TensorShape(35U, 35U, 192U), TensorShape(3U, 3U, 192U, 224U), TensorShape(224U), TensorShape(35U, 35U, 224U), PadStrideInfo(1, 1, 1, 1));
+ // reduction_a_3x3_3
+ add_config(TensorShape(35U, 35U, 224U), TensorShape(3U, 3U, 224U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(2, 2, 0, 0));
+ // inception_b1_1x1_2, inception_b2_1x1_2, inception_b3_1x1_2, inception_b4_1x1_2, inception_b5_1x1_2, inception_b6_1x1_2, inception_b7_1x1_2
+ add_config(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 384U), TensorShape(384U), TensorShape(17U, 17U, 384U), PadStrideInfo(1, 1, 0, 0));
+ // inception_b1_1x7_reduce, inception_b1_7x1_2_reduce, inception_b2_1x7_reduce, inception_b2_7x1_2_reduce, inception_b3_1x7_reduce, inception_b3_7x1_2_reduce, inception_b4_1x7_reduce, inception_b4_7x1_2_reduce, inception_b5_1x7_reduce, inception_b5_7x1_2_reduce, inception_b6_1x7_reduce, inception_b6_7x1_2_reduce, inception_b7_1x7_reduce, inception_b7_7x1_2_reduce, reduction_b_3x3_reduce
+ add_config(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 192U), TensorShape(192U), TensorShape(17U, 17U, 192U), PadStrideInfo(1, 1, 0, 0));
+ // inception_b1_1x1, inception_b2_1x1, inception_b3_1x1, inception_b4_1x1, inception_b5_1x1, inception_b6_1x1, inception_b7_1x1
+ add_config(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 128U), TensorShape(128U), TensorShape(17U, 17U, 128U), PadStrideInfo(1, 1, 0, 0));
+ // reduction_b_3x3
+ add_config(TensorShape(17U, 17U, 192U), TensorShape(3U, 3U, 192U, 192U), TensorShape(192U), TensorShape(8U, 8U, 192U), PadStrideInfo(2, 2, 0, 0));
+ // reduction_b_1x7_reduce
+ add_config(TensorShape(17U, 17U, 1024U), TensorShape(1U, 1U, 1024U, 256U), TensorShape(256U), TensorShape(17U, 17U, 256U), PadStrideInfo(1, 1, 0, 0));
+ // reduction_b_3x3_2
+ add_config(TensorShape(17U, 17U, 320U), TensorShape(3U, 3U, 320U, 320U), TensorShape(320U), TensorShape(8U, 8U, 320U), PadStrideInfo(2, 2, 0, 0));
+ // inception_c1_1x1_2, inception_c1_1x1, inception_c2_1x1_2, inception_c2_1x1, inception_c3_1x1_2, inception_c3_1x1
+ add_config(TensorShape(8U, 8U, 1536U), TensorShape(1U, 1U, 1536U, 256U), TensorShape(256U), TensorShape(8U, 8U, 256U), PadStrideInfo(1, 1, 0, 0));
+ // inception_c1_1x1_3, inception_c1_1x1_4, inception_c2_1x1_3, inception_c2_1x1_4, inception_c3_1x1_3, inception_c3_1x1_4
+ add_config(TensorShape(8U, 8U, 1536U), TensorShape(1U, 1U, 1536U, 384U), TensorShape(384U), TensorShape(8U, 8U, 384U), PadStrideInfo(1, 1, 0, 0));
+ }
+};
+
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_CONVOLUTION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4FullyConnectedLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4FullyConnectedLayerDataset.h
new file mode 100644
index 0000000..8cf59e8
--- /dev/null
+++ b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4FullyConnectedLayerDataset.h
@@ -0,0 +1,51 @@
+/*
+ * 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_GOOGLENETINCEPTIONV4_FULLYCONNECTED_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_FULLYCONNECTED_LAYER_DATASET
+
+#include "tests/datasets/FullyConnectedLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV4FullyConnectedLayerDataset final : public FullyConnectedLayerDataset
+{
+public:
+ GoogLeNetInceptionV4FullyConnectedLayerDataset()
+ {
+ add_config(TensorShape(1536U), TensorShape(1536U, 1000U), TensorShape(1000U), TensorShape(1000U));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_FULLYCONNECTED_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4PoolingLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4PoolingLayerDataset.h
new file mode 100644
index 0000000..3b1ee8d
--- /dev/null
+++ b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4PoolingLayerDataset.h
@@ -0,0 +1,65 @@
+/*
+ * 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_GOOGLENETINCEPTIONV4_POOLING_LAYER_DATASET
+#define ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_POOLING_LAYER_DATASET
+
+#include "tests/datasets/PoolingLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class GoogLeNetInceptionV4PoolingLayerDataset final : public PoolingLayerDataset
+{
+public:
+ GoogLeNetInceptionV4PoolingLayerDataset()
+ {
+ // FIXME: Add support for global pooling layer pool_8x8_s1
+ // inception_stem1_pool
+ add_config(TensorShape(147U, 147U, 64U), TensorShape(73U, 73U, 64U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // inception_stem3_pool
+ add_config(TensorShape(71U, 71U, 192U), TensorShape(35U, 35U, 192U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // inception_a1_pool_ave, inception_a2_pool_ave, inception_a3_pool_ave, inception_a4_pool_ave
+ add_config(TensorShape(35U, 35U, 384U), TensorShape(35U, 35U, 384U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
+ // reduction_a_pool
+ add_config(TensorShape(35U, 35U, 384U), TensorShape(17U, 17U, 384U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // inception_b1_pool_ave, inception_b2_pool_ave, inception_b3_pool_ave, inception_b4_pool_ave, inception_b5_pool_ave, inception_b6_pool_ave, inception_b7_pool_ave
+ add_config(TensorShape(17U, 17U, 1024U), TensorShape(17U, 17U, 1024U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
+ // reduction_b_pool
+ add_config(TensorShape(17U, 17U, 1024U), TensorShape(8U, 8U, 1024U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // inception_c1_pool_ave, inception_c2_pool_ave, inception_c3_pool_ave
+ add_config(TensorShape(8U, 8U, 1536U), TensorShape(8U, 8U, 1536U), PoolingLayerInfo(PoolingType::AVG, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL)));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_GOOGLENETINCEPTIONV4_POOLING_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/lenet5/LeNet5ActivationLayerDataset.h b/tests/datasets/system_tests/lenet5/LeNet5ActivationLayerDataset.h
new file mode 100644
index 0000000..4c88cde
--- /dev/null
+++ b/tests/datasets/system_tests/lenet5/LeNet5ActivationLayerDataset.h
@@ -0,0 +1,58 @@
+/*
+ * 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_LENET5_ACTIVATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_LENET5_ACTIVATION_LAYER_DATASET
+
+#include "tests/framework/datasets/Datasets.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class LeNet5ActivationLayerDataset final : public
+ framework::dataset::CartesianProductDataset<framework::dataset::SingletonDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
+{
+public:
+ LeNet5ActivationLayerDataset()
+ : CartesianProductDataset
+ {
+ framework::dataset::make("Shape", TensorShape(500U)),
+ framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
+ }
+ {
+ }
+ LeNet5ActivationLayerDataset(LeNet5ActivationLayerDataset &&) = default;
+ ~LeNet5ActivationLayerDataset() = default;
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_LENET5_ACTIVATION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/lenet5/LeNet5ConvolutionLayerDataset.h b/tests/datasets/system_tests/lenet5/LeNet5ConvolutionLayerDataset.h
new file mode 100644
index 0000000..e1d3ead
--- /dev/null
+++ b/tests/datasets/system_tests/lenet5/LeNet5ConvolutionLayerDataset.h
@@ -0,0 +1,52 @@
+/*
+ * 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_LENET5_CONVOLUTION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_LENET5_CONVOLUTION_LAYER_DATASET
+
+#include "tests/datasets/ConvolutionLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class LeNet5ConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+ LeNet5ConvolutionLayerDataset()
+ {
+ add_config(TensorShape(28U, 28U, 1U), TensorShape(5U, 5U, 1U, 20U), TensorShape(20U), TensorShape(24U, 24U, 20U), PadStrideInfo(1, 1, 0, 0));
+ add_config(TensorShape(12U, 12U, 20U), TensorShape(5U, 5U, 20U, 50U), TensorShape(50U), TensorShape(8U, 8U, 50U), PadStrideInfo(1, 1, 0, 0));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_LENET5_CONVOLUTION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/lenet5/LeNet5FullyConnectedLayerDataset.h b/tests/datasets/system_tests/lenet5/LeNet5FullyConnectedLayerDataset.h
new file mode 100644
index 0000000..343ecc0
--- /dev/null
+++ b/tests/datasets/system_tests/lenet5/LeNet5FullyConnectedLayerDataset.h
@@ -0,0 +1,54 @@
+/*
+ * 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_LENET5_FULLYCONNECTED_LAYER_DATASET
+#define ARM_COMPUTE_TEST_LENET5_FULLYCONNECTED_LAYER_DATASET
+
+#include "tests/datasets/FullyConnectedLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+using namespace arm_compute;
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class LeNet5FullyConnectedLayerDataset final : public FullyConnectedLayerDataset
+{
+public:
+ LeNet5FullyConnectedLayerDataset()
+ {
+ add_config(TensorShape(4U, 4U, 50U), TensorShape(800U, 500U), TensorShape(500U), TensorShape(500U));
+ add_config(TensorShape(500U), TensorShape(500U, 10U), TensorShape(10U), TensorShape(10U));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_LENET5_FULLYCONNECTED_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/lenet5/LeNet5PoolingLayerDataset.h b/tests/datasets/system_tests/lenet5/LeNet5PoolingLayerDataset.h
new file mode 100644
index 0000000..bc2de7b
--- /dev/null
+++ b/tests/datasets/system_tests/lenet5/LeNet5PoolingLayerDataset.h
@@ -0,0 +1,52 @@
+/*
+ * 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_LENET5_POOLING_LAYER_DATASET
+#define ARM_COMPUTE_TEST_LENET5_POOLING_LAYER_DATASET
+
+#include "tests/datasets/PoolingLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class LeNet5PoolingLayerDataset final : public PoolingLayerDataset
+{
+public:
+ LeNet5PoolingLayerDataset()
+ {
+ add_config(TensorShape(24U, 24U, 20U), TensorShape(12U, 12U, 20U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0)));
+ add_config(TensorShape(8U, 8U, 50U), TensorShape(4U, 4U, 50U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0)));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_LENET5_POOLING_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/squeezenet/SqueezeNetActivationLayerDataset.h b/tests/datasets/system_tests/squeezenet/SqueezeNetActivationLayerDataset.h
new file mode 100644
index 0000000..7644387
--- /dev/null
+++ b/tests/datasets/system_tests/squeezenet/SqueezeNetActivationLayerDataset.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_SQUEEZENET_ACTIVATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_SQUEEZENET_ACTIVATION_LAYER_DATASET
+
+#include "tests/framework/datasets/Datasets.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class SqueezeNetActivationLayerDataset final : public
+ framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
+{
+public:
+ SqueezeNetActivationLayerDataset()
+ : CartesianProductDataset
+ {
+ framework::dataset::make("Shape", { // relu_conv1
+ TensorShape(111U, 111U, 64U),
+ // fire2/relu_squeeze1x1, fire3/relu_squeeze1x1
+ TensorShape(55U, 55U, 16U),
+ // fire2/relu_expand1x1, fire2/relu_expand3x3, fire3/relu_expand1x1, fire3/relu_expand3x3
+ TensorShape(55U, 55U, 64U),
+ // fire4/relu_squeeze1x1, fire5/relu_squeeze1x1
+ TensorShape(27U, 27U, 32U),
+ // fire4/relu_expand1x1, fire4/relu_expand3x3, fire5/relu_expand1x1, fire5/relu_expand3x3
+ TensorShape(27U, 27U, 128U),
+ // fire6/relu_squeeze1x1, fire7/relu_squeeze1x1
+ TensorShape(13U, 13U, 48U),
+ // fire6/relu_expand1x1, fire6/relu_expand3x3, fire7/relu_expand1x1, fire7/relu_expand3x3
+ TensorShape(13U, 13U, 192U),
+ // fire8/relu_squeeze1x1, fire9/relu_squeeze1x1
+ TensorShape(13U, 13U, 64U),
+ // fire8/relu_expand1x1, fire8/relu_expand3x3, fire9/relu_expand1x1, fire9/relu_expand3x3
+ TensorShape(13U, 13U, 256U),
+ // relu_conv10
+ TensorShape(13U, 13U, 1000U) }),
+ framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
+ }
+ {
+ }
+ SqueezeNetActivationLayerDataset(SqueezeNetActivationLayerDataset &&) = default;
+ ~SqueezeNetActivationLayerDataset() = default;
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SQUEEZENET_ACTIVATION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h b/tests/datasets/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h
new file mode 100644
index 0000000..2d447b0
--- /dev/null
+++ b/tests/datasets/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h
@@ -0,0 +1,86 @@
+/*
+ * 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_SQUEEZENET_CONVOLUTION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_SQUEEZENET_CONVOLUTION_LAYER_DATASET
+
+#include "tests/datasets/ConvolutionLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class SqueezeNetConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+ SqueezeNetConvolutionLayerDataset()
+ {
+ // conv1
+ add_config(TensorShape(224U, 224U, 3U), TensorShape(3U, 3U, 3U, 64U), TensorShape(64U), TensorShape(111U, 111U, 64U), PadStrideInfo(2, 2, 0, 0));
+ // fire2/squeeze1x1
+ add_config(TensorShape(55U, 55U, 64U), TensorShape(1U, 1U, 64U, 16U), TensorShape(16U), TensorShape(55U, 55U, 16U), PadStrideInfo(1, 1, 0, 0));
+ // fire2/expand1x1, fire3/expand1x1
+ add_config(TensorShape(55U, 55U, 16U), TensorShape(1U, 1U, 16U, 64U), TensorShape(64U), TensorShape(55U, 55U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // fire2/expand3x3, fire3/expand3x3
+ add_config(TensorShape(55U, 55U, 16U), TensorShape(3U, 3U, 16U, 64U), TensorShape(64U), TensorShape(55U, 55U, 64U), PadStrideInfo(1, 1, 1, 1));
+ // fire3/squeeze1x1
+ add_config(TensorShape(55U, 55U, 128U), TensorShape(1U, 1U, 128U, 16U), TensorShape(16U), TensorShape(55U, 55U, 16U), PadStrideInfo(1, 1, 0, 0));
+ // fire4/squeeze1x1
+ add_config(TensorShape(27U, 27U, 128U), TensorShape(1U, 1U, 128U, 32U), TensorShape(32U), TensorShape(27U, 27U, 32U), PadStrideInfo(1, 1, 0, 0));
+ // fire4/expand1x1, fire5/expand1x1
+ add_config(TensorShape(27U, 27U, 32U), TensorShape(1U, 1U, 32U, 128U), TensorShape(128U), TensorShape(27U, 27U, 128U), PadStrideInfo(1, 1, 0, 0));
+ // fire4/expand3x3, fire5/expand3x3
+ add_config(TensorShape(27U, 27U, 32U), TensorShape(3U, 3U, 32U, 128U), TensorShape(128U), TensorShape(27U, 27U, 128U), PadStrideInfo(1, 1, 1, 1));
+ // fire5/squeeze1x1
+ add_config(TensorShape(27U, 27U, 256U), TensorShape(1U, 1U, 256U, 32U), TensorShape(32U), TensorShape(27U, 27U, 32U), PadStrideInfo(1, 1, 0, 0));
+ // fire6/squeeze1x1
+ add_config(TensorShape(13U, 13U, 256U), TensorShape(1U, 1U, 256U, 48U), TensorShape(48U), TensorShape(13U, 13U, 48U), PadStrideInfo(1, 1, 0, 0));
+ // fire6/expand1x1, fire7/expand1x1
+ add_config(TensorShape(13U, 13U, 48U), TensorShape(1U, 1U, 48U, 192U), TensorShape(192U), TensorShape(13U, 13U, 192U), PadStrideInfo(1, 1, 0, 0));
+ // fire6/expand3x3, fire7/expand3x3
+ add_config(TensorShape(13U, 13U, 48U), TensorShape(3U, 3U, 48U, 192U), TensorShape(192U), TensorShape(13U, 13U, 192U), PadStrideInfo(1, 1, 1, 1));
+ // fire7/squeeze1x1
+ add_config(TensorShape(13U, 13U, 384U), TensorShape(1U, 1U, 384U, 48U), TensorShape(48U), TensorShape(13U, 13U, 48U), PadStrideInfo(1, 1, 0, 0));
+ // fire8/squeeze1x1
+ add_config(TensorShape(13U, 13U, 384U), TensorShape(1U, 1U, 384U, 64U), TensorShape(64U), TensorShape(13U, 13U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // fire8/expand1x1, fire9/expand1x1
+ add_config(TensorShape(13U, 13U, 64U), TensorShape(1U, 1U, 64U, 256U), TensorShape(256U), TensorShape(13U, 13U, 256U), PadStrideInfo(1, 1, 0, 0));
+ // fire8/expand3x3, fire9/expand3x3
+ add_config(TensorShape(13U, 13U, 64U), TensorShape(3U, 3U, 64U, 256U), TensorShape(256U), TensorShape(13U, 13U, 256U), PadStrideInfo(1, 1, 1, 1));
+ // fire9/squeeze1x1
+ add_config(TensorShape(13U, 13U, 512U), TensorShape(1U, 1U, 512U, 64U), TensorShape(64U), TensorShape(13U, 13U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // conv10
+ add_config(TensorShape(13U, 13U, 512U), TensorShape(1U, 1U, 512U, 1000U), TensorShape(1000U), TensorShape(13U, 13U, 1000U), PadStrideInfo(1, 1, 0, 0));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SQUEEZENET_CONVOLUTION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/squeezenet/SqueezeNetPoolingLayerDataset.h b/tests/datasets/system_tests/squeezenet/SqueezeNetPoolingLayerDataset.h
new file mode 100644
index 0000000..69d04db
--- /dev/null
+++ b/tests/datasets/system_tests/squeezenet/SqueezeNetPoolingLayerDataset.h
@@ -0,0 +1,57 @@
+/*
+ * 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_SQUEEZENET_POOLING_LAYER_DATASET
+#define ARM_COMPUTE_TEST_SQUEEZENET_POOLING_LAYER_DATASET
+
+#include "tests/datasets/PoolingLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class SqueezeNetPoolingLayerDataset final : public PoolingLayerDataset
+{
+public:
+ SqueezeNetPoolingLayerDataset()
+ {
+ // pool1
+ add_config(TensorShape(111U, 111U, 64U), TensorShape(55U, 55U, 64U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // pool3
+ add_config(TensorShape(55U, 55U, 128U), TensorShape(27U, 27U, 128U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // pool5
+ add_config(TensorShape(27U, 27U, 256U), TensorShape(13U, 13U, 256U), PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ //FIXME: Add support for global pooling.
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SQUEEZENET_POOLING_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/vgg/vgg16/VGG16ActivationLayerDataset.h b/tests/datasets/system_tests/vgg/vgg16/VGG16ActivationLayerDataset.h
new file mode 100644
index 0000000..66301dd
--- /dev/null
+++ b/tests/datasets/system_tests/vgg/vgg16/VGG16ActivationLayerDataset.h
@@ -0,0 +1,69 @@
+/*
+ * 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_VGG16_ACTIVATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_VGG16_ACTIVATION_LAYER_DATASET
+
+#include "tests/framework/datasets/Datasets.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class VGG16ActivationLayerDataset final : public
+ framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
+{
+public:
+ VGG16ActivationLayerDataset()
+ : CartesianProductDataset
+ {
+ framework::dataset::make("Shape", { // relu1_1, relu1_2
+ TensorShape(224U, 224U, 64U),
+ // relu2_1, relu2_2
+ TensorShape(112U, 112U, 128U),
+ // relu3_1, relu3_2, relu3_3
+ TensorShape(56U, 56U, 256U),
+ // relu4_1, relu4_2, relu4_3
+ TensorShape(28U, 28U, 512U),
+ // relu5_1, relu5_2, relu5_3
+ TensorShape(14U, 14U, 512U),
+ // relu6, relu7
+ TensorShape(4096U) }),
+ framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
+ }
+ {
+ }
+ VGG16ActivationLayerDataset(VGG16ActivationLayerDataset &&) = default;
+ ~VGG16ActivationLayerDataset() = default;
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_VGG16_ACTIVATION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/vgg/vgg16/VGG16ConvolutionLayerDataset.h b/tests/datasets/system_tests/vgg/vgg16/VGG16ConvolutionLayerDataset.h
new file mode 100644
index 0000000..36cb5d9
--- /dev/null
+++ b/tests/datasets/system_tests/vgg/vgg16/VGG16ConvolutionLayerDataset.h
@@ -0,0 +1,94 @@
+/*
+ * 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_VGG16_CONVOLUTION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_VGG16_CONVOLUTION_LAYER_DATASET
+
+#include "tests/datasets/ConvolutionLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class VGG16ConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+ VGG16ConvolutionLayerDataset()
+ {
+ // conv1_1
+ add_config(TensorShape(224U, 224U, 3U), TensorShape(3U, 3U, 3U, 64U), TensorShape(64U), TensorShape(224U, 224U, 64U), PadStrideInfo(1, 1, 1, 1));
+ // conv1_2
+ add_config(TensorShape(224U, 224U, 64U), TensorShape(3U, 3U, 64U, 64U), TensorShape(64U), TensorShape(224U, 224U, 64U), PadStrideInfo(1, 1, 1, 1));
+ // conv2_1
+ add_config(TensorShape(112U, 112U, 64U), TensorShape(3U, 3U, 64U, 128U), TensorShape(128U), TensorShape(112U, 112U, 128U), PadStrideInfo(1, 1, 1, 1));
+ // conv2_2
+ add_config(TensorShape(112U, 112U, 128U), TensorShape(3U, 3U, 128U, 128U), TensorShape(128U), TensorShape(112U, 112U, 128U), PadStrideInfo(1, 1, 1, 1));
+ // conv3_1
+ add_config(TensorShape(56U, 56U, 128U), TensorShape(3U, 3U, 128U, 256U), TensorShape(256U), TensorShape(56U, 56U, 256U), PadStrideInfo(1, 1, 1, 1));
+ // conv3_2, conv3_3
+ add_config(TensorShape(56U, 56U, 256U), TensorShape(3U, 3U, 256U, 256U), TensorShape(256U), TensorShape(56U, 56U, 256U), PadStrideInfo(1, 1, 1, 1));
+ // conv4_1
+ add_config(TensorShape(28U, 28U, 256U), TensorShape(3U, 3U, 256U, 512U), TensorShape(512U), TensorShape(28U, 28U, 512U), PadStrideInfo(1, 1, 1, 1));
+ // conv4_2, conv4_3
+ add_config(TensorShape(28U, 28U, 512U), TensorShape(3U, 3U, 512U, 512U), TensorShape(512U), TensorShape(28U, 28U, 512U), PadStrideInfo(1, 1, 1, 1));
+ // conv5_1, conv5_2, conv5_3
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(3U, 3U, 512U, 512U), TensorShape(512U), TensorShape(14U, 14U, 512U), PadStrideInfo(1, 1, 1, 1));
+ }
+};
+
+class VGG16DirectConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+ VGG16DirectConvolutionLayerDataset()
+ {
+ // conv1_1
+ add_config(TensorShape(224U, 224U, 3U), TensorShape(3U, 3U, 3U, 64U), TensorShape(64U), TensorShape(224U, 224U, 64U), PadStrideInfo(1, 1, 1, 1));
+ // conv1_2
+ add_config(TensorShape(224U, 224U, 64U), TensorShape(3U, 3U, 64U, 64U), TensorShape(64U), TensorShape(224U, 224U, 64U), PadStrideInfo(1, 1, 1, 1));
+ // conv2_1
+ add_config(TensorShape(112U, 112U, 64U), TensorShape(3U, 3U, 64U, 128U), TensorShape(128U), TensorShape(112U, 112U, 128U), PadStrideInfo(1, 1, 1, 1));
+ // conv2_2
+ add_config(TensorShape(112U, 112U, 128U), TensorShape(3U, 3U, 128U, 128U), TensorShape(128U), TensorShape(112U, 112U, 128U), PadStrideInfo(1, 1, 1, 1));
+ // conv3_1
+ add_config(TensorShape(56U, 56U, 128U), TensorShape(3U, 3U, 128U, 256U), TensorShape(256U), TensorShape(56U, 56U, 256U), PadStrideInfo(1, 1, 1, 1));
+ // conv3_2, conv3_3
+ add_config(TensorShape(56U, 56U, 256U), TensorShape(3U, 3U, 256U, 256U), TensorShape(256U), TensorShape(56U, 56U, 256U), PadStrideInfo(1, 1, 1, 1));
+ // conv4_1
+ add_config(TensorShape(28U, 28U, 256U), TensorShape(3U, 3U, 256U, 512U), TensorShape(512U), TensorShape(28U, 28U, 512U), PadStrideInfo(1, 1, 1, 1));
+ // conv4_2, conv4_3
+ add_config(TensorShape(28U, 28U, 512U), TensorShape(3U, 3U, 512U, 512U), TensorShape(512U), TensorShape(28U, 28U, 512U), PadStrideInfo(1, 1, 1, 1));
+ // conv5_1, conv5_2, conv5_3
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(3U, 3U, 512U, 512U), TensorShape(512U), TensorShape(14U, 14U, 512U), PadStrideInfo(1, 1, 1, 1));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_VGG16_CONVOLUTION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/vgg/vgg16/VGG16FullyConnectedLayerDataset.h b/tests/datasets/system_tests/vgg/vgg16/VGG16FullyConnectedLayerDataset.h
new file mode 100644
index 0000000..d34dc3f
--- /dev/null
+++ b/tests/datasets/system_tests/vgg/vgg16/VGG16FullyConnectedLayerDataset.h
@@ -0,0 +1,56 @@
+/*
+ * 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_VGG16_FULLYCONNECTED_LAYER_DATASET
+#define ARM_COMPUTE_TEST_VGG16_FULLYCONNECTED_LAYER_DATASET
+
+#include "tests/datasets/FullyConnectedLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class VGG16FullyConnectedLayerDataset final : public FullyConnectedLayerDataset
+{
+public:
+ VGG16FullyConnectedLayerDataset()
+ {
+ // fc6
+ add_config(TensorShape(7U, 7U, 512U), TensorShape(25088U, 4096U), TensorShape(4096U), TensorShape(4096U));
+ // fc7
+ add_config(TensorShape(4096U), TensorShape(4096U, 4096U), TensorShape(4096U), TensorShape(4096U));
+ // fc8
+ add_config(TensorShape(4096U), TensorShape(4096U, 1000U), TensorShape(1000U), TensorShape(1000U));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_VGG16_FULLYCONNECTED_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/vgg/vgg16/VGG16PoolingLayerDataset.h b/tests/datasets/system_tests/vgg/vgg16/VGG16PoolingLayerDataset.h
new file mode 100644
index 0000000..4db2087
--- /dev/null
+++ b/tests/datasets/system_tests/vgg/vgg16/VGG16PoolingLayerDataset.h
@@ -0,0 +1,60 @@
+/*
+ * 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_VGG16_POOLING_LAYER_DATASET
+#define ARM_COMPUTE_TEST_VGG16_POOLING_LAYER_DATASET
+
+#include "tests/datasets/PoolingLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class VGG16PoolingLayerDataset final : public PoolingLayerDataset
+{
+public:
+ VGG16PoolingLayerDataset()
+ {
+ // pool1
+ add_config(TensorShape(224U, 224U, 64U), TensorShape(112U, 112U, 64U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // pool2
+ add_config(TensorShape(112U, 112U, 128U), TensorShape(56U, 56U, 128U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // pool3
+ add_config(TensorShape(56U, 56U, 256U), TensorShape(28U, 28U, 256U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // pool4
+ add_config(TensorShape(28U, 28U, 512U), TensorShape(14U, 14U, 512U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // pool5
+ add_config(TensorShape(14U, 14U, 512U), TensorShape(7U, 7U, 512U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_VGG16_POOLING_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/yolo/v2/YOLOV2ActivationLayerDataset.h b/tests/datasets/system_tests/yolo/v2/YOLOV2ActivationLayerDataset.h
new file mode 100644
index 0000000..8a2cd16
--- /dev/null
+++ b/tests/datasets/system_tests/yolo/v2/YOLOV2ActivationLayerDataset.h
@@ -0,0 +1,109 @@
+/*
+ * 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_YOLOV2_ACTIVATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_YOLOV2_ACTIVATION_LAYER_DATASET
+
+#include "tests/framework/datasets/Datasets.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class YOLOV2ActivationLayerRELUDataset final : public
+ framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
+{
+public:
+ YOLOV2ActivationLayerRELUDataset()
+ : CartesianProductDataset
+ {
+ framework::dataset::make("Shape", { // relu1
+ TensorShape(416U, 416U, 32U),
+ // relu2
+ TensorShape(208U, 208U, 64U),
+ // relu3, relu5
+ TensorShape(104U, 104U, 128U),
+ // relu4
+ TensorShape(104U, 104U, 64U),
+ // relu6, relu8
+ TensorShape(52U, 52U, 256U),
+ // relu7
+ TensorShape(52U, 52U, 128U),
+ // relu9, relu11, relu13
+ TensorShape(26U, 26U, 512U),
+ // relu10, relu12
+ TensorShape(26U, 26U, 256U),
+ // relu14, relu16, relu18, relu19, relu20, relu21
+ TensorShape(13U, 13U, 1024U),
+ // relu15, relu17
+ TensorShape(13U, 13U, 512U) }),
+ framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))
+ }
+ {
+ }
+ YOLOV2ActivationLayerRELUDataset(YOLOV2ActivationLayerRELUDataset &&) = default;
+ ~YOLOV2ActivationLayerRELUDataset() = default;
+};
+
+class YOLOV2ActivationLayerLINEARDataset final : public
+ framework::dataset::CartesianProductDataset<framework::dataset::InitializerListDataset<TensorShape>, framework::dataset::SingletonDataset<ActivationLayerInfo>>
+{
+public:
+ YOLOV2ActivationLayerLINEARDataset()
+ : CartesianProductDataset
+ {
+ framework::dataset::make("Shape", { // linear22
+ TensorShape(15U, 15U, 425U) }),
+ framework::dataset::make("Info", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR))
+ }
+ {
+ }
+ YOLOV2ActivationLayerLINEARDataset(YOLOV2ActivationLayerLINEARDataset &&) = default;
+ ~YOLOV2ActivationLayerLINEARDataset() = default;
+};
+
+class YOLOV2ActivationLayerDataset final : public framework::dataset::JoinDataset<YOLOV2ActivationLayerRELUDataset, YOLOV2ActivationLayerLINEARDataset>
+{
+public:
+ YOLOV2ActivationLayerDataset()
+ : JoinDataset
+ {
+ YOLOV2ActivationLayerRELUDataset(),
+ YOLOV2ActivationLayerLINEARDataset()
+ }
+ {
+ }
+ YOLOV2ActivationLayerDataset(YOLOV2ActivationLayerDataset &&) = default;
+ ~YOLOV2ActivationLayerDataset() = default;
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_YOLOV2_ACTIVATION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h b/tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h
new file mode 100644
index 0000000..cc6a6dc
--- /dev/null
+++ b/tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h
@@ -0,0 +1,70 @@
+/*
+ * 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_YOLOV2_BATCHNORMALIZATION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_YOLOV2_BATCHNORMALIZATION_LAYER_DATASET
+
+#include "tests/datasets/BatchNormalizationLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class YOLOV2BatchNormalizationLayerDataset final : public BatchNormalizationLayerDataset
+{
+public:
+ YOLOV2BatchNormalizationLayerDataset()
+ {
+ // conv1_bn
+ add_config(TensorShape(416U, 416U, 32U), TensorShape(32U), 0.00001f);
+ // conv2_bn
+ add_config(TensorShape(208U, 208U, 64U), TensorShape(64U), 0.00001f);
+ // conv3_bn, conv5_bn
+ add_config(TensorShape(104U, 104U, 128U), TensorShape(128U), 0.00001f);
+ // conv4_bn
+ add_config(TensorShape(104U, 104U, 64U), TensorShape(64U), 0.00001f);
+ // conv6_bn, conv8_bn
+ add_config(TensorShape(52U, 52U, 256U), TensorShape(256U), 0.00001f);
+ // conv7_bn
+ add_config(TensorShape(52U, 52U, 128U), TensorShape(128U), 0.00001f);
+ // conv9_bn, conv11_bn, conv13_bn
+ add_config(TensorShape(26U, 26U, 512U), TensorShape(512U), 0.00001f);
+ // conv10_bn, conv12_bn
+ add_config(TensorShape(26U, 26U, 256U), TensorShape(256U), 0.00001f);
+ // conv14_bn, conv16_bn, conv18_bn, conv19_bn, conv20_bn, conv21_bn
+ add_config(TensorShape(13U, 13U, 1024U), TensorShape(1024U), 0.00001f);
+ // conv15_bn, conv17_bn
+ add_config(TensorShape(13U, 13U, 512U), TensorShape(512U), 0.00001f);
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_YOLOV2_BATCHNORMALIZATION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h b/tests/datasets/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h
new file mode 100644
index 0000000..41f48b0
--- /dev/null
+++ b/tests/datasets/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h
@@ -0,0 +1,76 @@
+/*
+ * 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_YOLOV2_CONVOLUTION_LAYER_DATASET
+#define ARM_COMPUTE_TEST_YOLOV2_CONVOLUTION_LAYER_DATASET
+
+#include "tests/datasets/ConvolutionLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class YOLOV2ConvolutionLayerDataset final : public ConvolutionLayerDataset
+{
+public:
+ YOLOV2ConvolutionLayerDataset()
+ {
+ // conv1
+ add_config(TensorShape(416U, 416U, 3U), TensorShape(3U, 3U, 3U, 32U), TensorShape(32U), TensorShape(416U, 416U, 32U), PadStrideInfo(1, 1, 1, 1));
+ // conv2
+ add_config(TensorShape(208U, 208U, 32U), TensorShape(3U, 3U, 32U, 64U), TensorShape(64U), TensorShape(208U, 208U, 64U), PadStrideInfo(1, 1, 1, 1));
+ // conv3, conv5
+ add_config(TensorShape(104U, 104U, 64U), TensorShape(3U, 3U, 64U, 128U), TensorShape(128U), TensorShape(104U, 104U, 128U), PadStrideInfo(1, 1, 1, 1));
+ // conv4
+ add_config(TensorShape(104U, 104U, 128U), TensorShape(1U, 1U, 128U, 64U), TensorShape(64U), TensorShape(104U, 104U, 64U), PadStrideInfo(1, 1, 0, 0));
+ // conv6, conv8
+ add_config(TensorShape(52U, 52U, 128U), TensorShape(3U, 3U, 128U, 256U), TensorShape(256U), TensorShape(52U, 52U, 256U), PadStrideInfo(1, 1, 1, 1));
+ // conv7
+ add_config(TensorShape(52U, 52U, 256U), TensorShape(1U, 1U, 256U, 128U), TensorShape(128U), TensorShape(52U, 52U, 128U), PadStrideInfo(1, 1, 0, 0));
+ // conv9, conv11, conv13
+ add_config(TensorShape(26U, 26U, 256U), TensorShape(3U, 3U, 256U, 512U), TensorShape(512U), TensorShape(26U, 26U, 512U), PadStrideInfo(1, 1, 1, 1));
+ // conv10, conv12
+ add_config(TensorShape(26U, 26U, 512U), TensorShape(1U, 1U, 512U, 256U), TensorShape(256U), TensorShape(26U, 26U, 256U), PadStrideInfo(1, 1, 0, 0));
+ // conv14, conv16, conv18
+ add_config(TensorShape(13U, 13U, 512U), TensorShape(3U, 3U, 512U, 1024U), TensorShape(1024U), TensorShape(13U, 13U, 1024U), PadStrideInfo(1, 1, 1, 1));
+ // conv15, conv17
+ add_config(TensorShape(13U, 13U, 1024U), TensorShape(1U, 1U, 1024U, 512U), TensorShape(512U), TensorShape(13U, 13U, 512U), PadStrideInfo(1, 1, 0, 0));
+ // conv19, conv20
+ add_config(TensorShape(13U, 13U, 1024U), TensorShape(3U, 3U, 1024U, 1024U), TensorShape(1024U), TensorShape(13U, 13U, 1024U), PadStrideInfo(1, 1, 1, 1));
+ // conv21
+ add_config(TensorShape(13U, 13U, 3072U), TensorShape(3U, 3U, 3072U, 1024U), TensorShape(1024U), TensorShape(13U, 13U, 1024U), PadStrideInfo(1, 1, 1, 1));
+ // conv22
+ add_config(TensorShape(13U, 13U, 1024U), TensorShape(1U, 1U, 1024U, 425U), TensorShape(425U), TensorShape(15U, 15U, 425U), PadStrideInfo(1, 1, 1, 1));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_YOLOV2_CONVOLUTION_LAYER_DATASET */
diff --git a/tests/datasets/system_tests/yolo/v2/YOLOV2PoolingLayerDataset.h b/tests/datasets/system_tests/yolo/v2/YOLOV2PoolingLayerDataset.h
new file mode 100644
index 0000000..3763d63
--- /dev/null
+++ b/tests/datasets/system_tests/yolo/v2/YOLOV2PoolingLayerDataset.h
@@ -0,0 +1,60 @@
+/*
+ * 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_YOLOV2_POOLING_LAYER_DATASET
+#define ARM_COMPUTE_TEST_YOLOV2_POOLING_LAYER_DATASET
+
+#include "tests/datasets/PoolingLayerDataset.h"
+
+#include "tests/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+class YOLOV2PoolingLayerDataset final : public PoolingLayerDataset
+{
+public:
+ YOLOV2PoolingLayerDataset()
+ {
+ // pool1
+ add_config(TensorShape(416U, 416U, 32U), TensorShape(208U, 208U, 32U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // pool2
+ add_config(TensorShape(208U, 208U, 64U), TensorShape(104U, 104U, 64U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // pool5
+ add_config(TensorShape(104U, 104U, 128U), TensorShape(52U, 52U, 128U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // pool8
+ add_config(TensorShape(52U, 52U, 256U), TensorShape(26U, 26U, 256U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ // pool13
+ add_config(TensorShape(26U, 26U, 512U), TensorShape(13U, 13U, 512U), PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL)));
+ }
+};
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_YOLOV2_POOLING_LAYER_DATASET */