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+/*
+ * Copyright (c) 2020 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_SCALE_VALIDATION_DATASET
+#define ARM_COMPUTE_TEST_SCALE_VALIDATION_DATASET
+
+#include "utils/TypePrinter.h"
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/datasets/BorderModeDataset.h"
+#include "tests/datasets/InterpolationPolicyDataset.h"
+#include "tests/datasets/SamplingPolicyDataset.h"
+#include "tests/datasets/ShapeDatasets.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace datasets
+{
+/** Class to generate boundary values for the given template parameters
+ * including shapes with large differences between width and height.
+ * element_per_iteration is the number of elements processed by one iteration
+ * of an implementation. (E.g., if an iteration is based on a 16-byte vector
+ * and size of one element is 1-byte, this value would be 16.).
+ * iterations is the total number of complete iterations we want to test
+ * for the effect of larger shapes.
+ */
+template <uint32_t channel, uint32_t batch, uint32_t element_per_iteration, uint32_t iterations>
+class ScaleShapesBaseDataSet : public ShapeDataset
+{
+    static constexpr auto boundary_minus_one = element_per_iteration * iterations - 1;
+    static constexpr auto boundary_plus_one  = element_per_iteration * iterations + 1;
+    static constexpr auto small_size         = 3;
+
+public:
+    // These tensor shapes are NCHW layout, fixture will convert to NHWC.
+    ScaleShapesBaseDataSet()
+        : ShapeDataset("Shape",
+    {
+        TensorShape{ small_size, boundary_minus_one, channel, batch },
+                     TensorShape{ small_size, boundary_plus_one, channel, batch },
+                     TensorShape{ boundary_minus_one, small_size, channel, batch },
+                     TensorShape{ boundary_plus_one, small_size, channel, batch },
+                     TensorShape{ boundary_minus_one, boundary_plus_one, channel, batch },
+                     TensorShape{ boundary_plus_one, boundary_minus_one, channel, batch },
+    })
+    {
+    }
+};
+
+/** For the single vector, only larger value (+1) than boundary
+ * since smaller value (-1) could cause some invalid shapes like
+ * - invalid zero size
+ * - size 1 which isn't compatible with scale with aligned corners.
+ */
+template <uint32_t channel, uint32_t batch, uint32_t element_per_iteration>
+class ScaleShapesBaseDataSet<channel, batch, element_per_iteration, 1> : public ShapeDataset
+{
+    static constexpr auto small_size        = 3;
+    static constexpr auto boundary_plus_one = element_per_iteration + 1;
+
+public:
+    // These tensor shapes are NCHW layout, fixture will convert to NHWC.
+    ScaleShapesBaseDataSet()
+        : ShapeDataset("Shape",
+    {
+        TensorShape{ small_size, boundary_plus_one, channel, batch },
+                     TensorShape{ boundary_plus_one, small_size, channel, batch },
+    })
+    {
+    }
+};
+
+/** For the shapes smaller than one vector, only pre-defined tiny shapes
+ * are tested (3x2, 2x3) as smaller shapes are more likely to cause
+ * issues and easier to debug.
+ */
+template <uint32_t channel, uint32_t batch, uint32_t element_per_iteration>
+class ScaleShapesBaseDataSet<channel, batch, element_per_iteration, 0> : public ShapeDataset
+{
+    static constexpr auto small_size                 = 3;
+    static constexpr auto zero_vector_boundary_value = 2;
+
+public:
+    // These tensor shapes are NCHW layout, fixture will convert to NHWC.
+    ScaleShapesBaseDataSet()
+        : ShapeDataset("Shape",
+    {
+        TensorShape{ small_size, zero_vector_boundary_value, channel, batch },
+                     TensorShape{ zero_vector_boundary_value, small_size, channel, batch },
+    })
+    {
+    }
+};
+
+/** Interpolation policy test set */
+const auto ScaleInterpolationPolicySet = framework::dataset::make("InterpolationPolicy",
+{
+    InterpolationPolicy::NEAREST_NEIGHBOR,
+    InterpolationPolicy::BILINEAR,
+});
+
+/** Scale data types */
+const auto ScaleDataLayouts = framework::dataset::make("DataLayout",
+{
+    DataLayout::NCHW,
+    DataLayout::NHWC,
+});
+
+/** Sampling policy data set */
+const auto ScaleSamplingPolicySet = combine(datasets::SamplingPolicies(),
+                                            framework::dataset::make("AlignCorners", { false }));
+
+/** Sampling policy data set for Aligned Corners which only allows TOP_LEFT policy.*/
+const auto ScaleAlignCornersSamplingPolicySet = combine(framework::dataset::make("SamplingPolicy",
+{
+    SamplingPolicy::TOP_LEFT,
+}),
+framework::dataset::make("AlignCorners", { true }));
+
+/** Generated shapes: Used by NEON precommit and nightly
+ * - 2D shapes with 0, 1, 2 vector iterations
+ * - 3D shapes with 0, 1 vector iterations
+ * - 4D shapes with 0 vector iterations
+ */
+#define SCALE_SHAPE_DATASET(element_per_iteration)                                                  \
+    concat(concat(concat(concat(concat(ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 0>(),  \
+                                       ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 1>()), \
+                                ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 2>()),        \
+                         ScaleShapesBaseDataSet<3, 1, (element_per_iteration), 0>()),               \
+                  ScaleShapesBaseDataSet<3, 1, (element_per_iteration), 1>()),                      \
+           ScaleShapesBaseDataSet<3, 3, (element_per_iteration), 0>())
+
+// To prevent long precommit time for OpenCL, shape set for OpenCL is separated into below two parts.
+/** Generated shapes for precommits to achieve essential coverage. Used by CL precommit and nightly
+ * - 3D shapes with 1 vector iterations
+ * - 4D shapes with 1 vector iterations
+ */
+#define SCALE_PRECOMMIT_SHAPE_DATASET(element_per_iteration) \
+    concat(ScaleShapesBaseDataSet<3, 1, (element_per_iteration), 1>(), ScaleShapesBaseDataSet<3, 3, (element_per_iteration), 1>())
+
+/** Generated shapes for nightly to achieve more small and variety shapes. Used by CL nightly
+ * - 2D shapes with 0, 1, 2 vector iterations
+ * - 3D shapes with 0 vector iterations (1 vector iteration is covered by SCALE_PRECOMMIT_SHAPE_DATASET)
+ * - 4D shapes with 0 vector iterations
+ */
+#define SCALE_NIGHTLY_SHAPE_DATASET(element_per_iteration)                                   \
+    concat(concat(concat(concat(ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 0>(),  \
+                                ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 1>()), \
+                         ScaleShapesBaseDataSet<1, 1, (element_per_iteration), 2>()),        \
+                  ScaleShapesBaseDataSet<3, 1, (element_per_iteration), 0>()),               \
+           ScaleShapesBaseDataSet<3, 3, (element_per_iteration), 0>())
+
+/** Generating dataset for non-quantized data tyeps with the given shapes */
+#define ASSEMBLE_DATASET(shape, samping_policy_set)             \
+    combine(combine(combine(combine((shape), ScaleDataLayouts), \
+                            ScaleInterpolationPolicySet),       \
+                    datasets::BorderModes()),                   \
+            samping_policy_set)
+
+/** Generating dataset for quantized data tyeps with the given shapes */
+#define ASSEMBLE_QUANTIZED_DATASET(shape, sampling_policy_set, quantization_info_set) \
+    combine(combine(combine(combine(combine(shape,                                    \
+                                            quantization_info_set),                   \
+                                    ScaleDataLayouts),                                \
+                            ScaleInterpolationPolicySet),                             \
+                    datasets::BorderModes()),                                         \
+            sampling_policy_set)
+
+} // namespace datasets
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_SCALE_VALIDATION_DATASET */
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