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>

31 files changed, 2469 insertions, 0 deletions

diff --git a/tests/datasets/system_tests/alexnet/AlexNetActivationLayerDataset.h b/tests/datasets/system_tests/alexnet/AlexNetActivationLayerDataset.h
new file mode 100644
index 0000000000..4030e97436
--- /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 0000000000..d0b901a9a1
--- /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 0000000000..50b0f7d75d
--- /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 0000000000..33b7423442
--- /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 0000000000..ab2749b36e
--- /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 0000000000..dc4ffe4e4e
--- /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 0000000000..a4002d124d
--- /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 0000000000..80a3473bc7
--- /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 0000000000..806ca9378a
--- /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 0000000000..d8fd061b66
--- /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 0000000000..6164bbacea
--- /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 0000000000..2d586390ec
--- /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 0000000000..d96410f9eb
--- /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 0000000000..a050d3da74
--- /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 0000000000..8cf59e8207
--- /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 0000000000..3b1ee8dcb4
--- /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 0000000000..4c88cde58d
--- /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 0000000000..e1d3ead65b
--- /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 0000000000..343ecc0190
--- /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 0000000000..bc2de7b235
--- /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 0000000000..7644387384
--- /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 0000000000..2d447b0156
--- /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 0000000000..69d04db7e1
--- /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 0000000000..66301ddf08
--- /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 0000000000..36cb5d93aa
--- /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 0000000000..d34dc3f87e
--- /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 0000000000..4db20870f2
--- /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 0000000000..8a2cd1665e
--- /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 0000000000..cc6a6dcccc
--- /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 0000000000..41f48b0958
--- /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 0000000000..3763d63588
--- /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 */