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diff --git a/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ActivationLayerDataset.h b/tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ActivationLayerDataset.h
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+/*
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_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 */