COMPMID-1769: Add support for NEON StridedSlice,Split,Slice,Unstack

Change-Id: I7d3c5e6858fed090410720f76947327e39bc72f8
Reviewed-on: https://review.mlplatform.org/450
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-by: VidhyaSudhan Loganathan <vidhyasudhan.loganathan@arm.com>

4 files changed, 560 insertions, 0 deletions

diff --git a/tests/validation/NEON/Slice.cpp b/tests/validation/NEON/Slice.cpp
new file mode 100644
index 0000000000..69506a5fac
--- /dev/null
+++ b/tests/validation/NEON/Slice.cpp
@@ -0,0 +1,135 @@
+/*
+ * Copyright (c) 2018-2019 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.
+ */
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NESlice.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+
+#include "tests/NEON/Accessor.h"
+#include "tests/datasets/SliceOperationsDataset.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/SliceOperationsFixtures.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TEST_SUITE(NEON)
+TEST_SUITE(Slice)
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
+        framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), // Invalid input shape
+                                                TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32),         // Negative begin
+                                                TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32),         // Big number of coordinates
+                                                TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32)
+        }),
+        framework::dataset::make("Starts", { Coordinates(3, 1, 0), Coordinates(-3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })),
+                                                              framework::dataset::make("Ends", { Coordinates(13, 3, 0),  Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, 3, 1) })),
+                                                          framework::dataset::make("Expected", { false, false, false, true })),
+               input_info, starts, ends, expected)
+{
+    TensorInfo output_info;
+    const Status status = NESlice::validate(&input_info.clone()->set_is_resizable(false), &output_info, starts, ends);
+    ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+DATA_TEST_CASE(Configuration,
+               framework::DatasetMode::ALL,
+               combine(arm_compute::test::datasets::SmallSliceDataset(), framework::dataset::make("DataType", { DataType::QASYMM8, DataType::F32 })),
+               shape, starts, ends, data_type)
+{
+    // Create tensors
+    Tensor src = create_tensor<Tensor>(shape, data_type);
+    Tensor dst;
+
+    // Create and Configure function
+    NESlice slice;
+    slice.configure(&src, &dst, starts, ends);
+
+    // Validate valid region
+    const ValidRegion valid_region = shape_to_valid_region(dst.info()->tensor_shape());
+    validate(dst.info()->valid_region(), valid_region);
+}
+
+template <typename T>
+using NESliceFixture = SliceFixture<Tensor, Accessor, NESlice, T>;
+
+TEST_SUITE(Float)
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       NESliceFixture<half>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(datasets::SmallSliceDataset(), framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge,
+                       NESliceFixture<half>,
+                       framework::DatasetMode::NIGHTLY,
+                       combine(datasets::LargeSliceDataset(), framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END() // FP16
+#endif           /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       NESliceFixture<float>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(datasets::SmallSliceDataset(), framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge,
+                       NESliceFixture<float>,
+                       framework::DatasetMode::NIGHTLY,
+                       combine(datasets::LargeSliceDataset(), framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END() // FP32
+TEST_SUITE_END() // Float
+
+TEST_SUITE_END() // Slice
+TEST_SUITE_END() // NEON
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/NEON/Split.cpp b/tests/validation/NEON/Split.cpp
new file mode 100644
index 0000000000..17360960e0
--- /dev/null
+++ b/tests/validation/NEON/Split.cpp
@@ -0,0 +1,159 @@
+/*
+ * Copyright (c) 2018-2019 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.
+ */
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NESplit.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+
+#include "tests/NEON/Accessor.h"
+#include "tests/datasets/SplitDataset.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/SplitFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TEST_SUITE(NEON)
+TEST_SUITE(Split)
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
+        framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid axis
+                                                TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid number of splits
+                                                TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32)
+        }),
+        framework::dataset::make("Axis", { 4, 2, 2 })),
+                                                              framework::dataset::make("Splits", { 4, 5, 4 })),
+                                                          framework::dataset::make("Expected", { false, false, true })),
+               input_info, axis, splits, expected)
+{
+    std::vector<TensorInfo> outputs_info(splits);
+    std::vector<ITensorInfo*> outputs_info_ptr;
+    for(auto &output_info : outputs_info)
+    {
+        outputs_info_ptr.emplace_back(&output_info);
+    }
+    const Status status = NESplit::validate(&input_info.clone()->set_is_resizable(false), outputs_info_ptr, axis);
+    ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+DATA_TEST_CASE(Configuration,
+               framework::DatasetMode::ALL,
+               combine(datasets::SmallSplitDataset(), framework::dataset::make("DataType", { DataType::QASYMM8, DataType::F32 })),
+               shape, axis, splits, data_type)
+{
+    // Create tensors
+    Tensor                 src = create_tensor<Tensor>(shape, data_type);
+    std::vector<Tensor>    dsts(splits);
+    std::vector<ITensor *> dsts_ptrs;
+    for(auto &dst : dsts)
+    {
+        dsts_ptrs.emplace_back(&dst);
+    }
+
+    // Create and Configure function
+    NESplit split;
+    split.configure(&src, dsts_ptrs, axis);
+
+    // Validate valid regions
+    for(auto &dst : dsts)
+    {
+        const ValidRegion valid_region = shape_to_valid_region(dst.info()->tensor_shape());
+        validate(dst.info()->valid_region(), valid_region);
+    }
+}
+
+template <typename T>
+using NESplitFixture = SplitFixture<Tensor, ITensor, Accessor, NESplit, T>;
+
+TEST_SUITE(Float)
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       NESplitFixture<half>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(datasets::SmallSplitDataset(), framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate outputs
+    for(unsigned int i = 0; i < _target.size(); ++i)
+    {
+        validate(Accessor(_target[i]), _reference[i]);
+    }
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge,
+                       NESplitFixture<half>,
+                       framework::DatasetMode::NIGHTLY,
+                       combine(datasets::LargeSplitDataset(), framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate outputs
+    for(unsigned int i = 0; i < _target.size(); ++i)
+    {
+        validate(Accessor(_target[i]), _reference[i]);
+    }
+}
+TEST_SUITE_END() // FP16
+#endif           /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       NESplitFixture<float>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(datasets::SmallSplitDataset(), framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate outputs
+    for(unsigned int i = 0; i < _target.size(); ++i)
+    {
+        validate(Accessor(_target[i]), _reference[i]);
+    }
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge,
+                       NESplitFixture<float>,
+                       framework::DatasetMode::NIGHTLY,
+                       combine(datasets::LargeSplitDataset(), framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate outputs
+    for(unsigned int i = 0; i < _target.size(); ++i)
+    {
+        validate(Accessor(_target[i]), _reference[i]);
+    }
+}
+TEST_SUITE_END() // FP32
+TEST_SUITE_END() // Float
+
+TEST_SUITE_END() // Split
+TEST_SUITE_END() // NEON
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/NEON/StridedSlice.cpp b/tests/validation/NEON/StridedSlice.cpp
new file mode 100644
index 0000000000..f94aed0d51
--- /dev/null
+++ b/tests/validation/NEON/StridedSlice.cpp
@@ -0,0 +1,138 @@
+/*
+ * Copyright (c) 2018-2019 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.
+ */
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEStridedSlice.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+
+#include "tests/NEON/Accessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/SliceOperationsDataset.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/SliceOperationsFixtures.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TEST_SUITE(NEON)
+TEST_SUITE(StridedSlice)
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
+        framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), // Invalid input shape
+                                                TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32),         // Zero stride
+                                                TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32),         // Big number of coordinates
+                                                TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32),         // Invalid Coords/Strides
+                                                TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32)
+        }),
+        framework::dataset::make("Starts", { Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })),
+                                                                  framework::dataset::make("Ends", { Coordinates(13, 3, 0),  Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, -1, 1), Coordinates(13, 3, 1) })),
+                                                              framework::dataset::make("Strides", { BiStrides(2, 1, 1),  BiStrides(2, 0, 1), BiStrides(2, 1, 1), BiStrides(2, -1, 1), BiStrides(2, 1, 1) })),
+                                                          framework::dataset::make("Expected", { false, false, false, false, true })),
+               input_info, starts, ends, strides, expected)
+{
+    TensorInfo output_info;
+    ARM_COMPUTE_EXPECT(bool(NEStridedSlice::validate(&input_info.clone()->set_is_resizable(false), &output_info, starts, ends, strides)) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+DATA_TEST_CASE(Configuration,
+               framework::DatasetMode::ALL,
+               combine(arm_compute::test::datasets::SmallStridedSliceDataset(), framework::dataset::make("DataType", { DataType::QASYMM8, DataType::F32 })),
+               shape, starts, ends, strides, begin_mask, end_mask, shrink_mask, data_type)
+{
+    // Create tensors
+    Tensor src = create_tensor<Tensor>(shape, data_type);
+    Tensor dst;
+
+    // Create and Configure function
+    NEStridedSlice strided_slice;
+    strided_slice.configure(&src, &dst, starts, ends, strides, begin_mask, end_mask, shrink_mask);
+
+    // Validate valid region
+    const ValidRegion valid_region = shape_to_valid_region(dst.info()->tensor_shape());
+    validate(dst.info()->valid_region(), valid_region);
+}
+
+template <typename T>
+using NEStridedSliceFixture = StridedSliceFixture<Tensor, Accessor, NEStridedSlice, T>;
+
+TEST_SUITE(Float)
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       NEStridedSliceFixture<half>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(datasets::SmallStridedSliceDataset(), framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge,
+                       NEStridedSliceFixture<half>,
+                       framework::DatasetMode::NIGHTLY,
+                       combine(datasets::LargeStridedSliceDataset(), framework::dataset::make("DataType", DataType::F16)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END() // FP16
+#endif           /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
+
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(RunSmall,
+                       NEStridedSliceFixture<float>,
+                       framework::DatasetMode::PRECOMMIT,
+                       combine(datasets::SmallStridedSliceDataset(), framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge,
+                       NEStridedSliceFixture<float>,
+                       framework::DatasetMode::NIGHTLY,
+                       combine(datasets::LargeStridedSliceDataset(), framework::dataset::make("DataType", DataType::F32)))
+{
+    // Validate output
+    validate(Accessor(_target), _reference);
+}
+TEST_SUITE_END() // FP32
+TEST_SUITE_END() // Float
+
+TEST_SUITE_END() // StridedSlice
+TEST_SUITE_END() // NEON
+
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/NEON/Unstack.cpp b/tests/validation/NEON/Unstack.cpp
new file mode 100644
index 0000000000..6be80df3c6
--- /dev/null
+++ b/tests/validation/NEON/Unstack.cpp
@@ -0,0 +1,128 @@
+/*
+ * Copyright (c) 2018-2019 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.
+ */
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/functions/NEUnstack.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "arm_compute/runtime/TensorAllocator.h"
+
+#include "tests/NEON/Accessor.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/UnstackFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+const auto unstack_axis_dataset  = framework::dataset::make("Axis", -3, 3);
+const auto unstack_num_dataset   = framework::dataset::make("Num", 1, 3); // The length of the dimension axis
+const auto unstack_dataset_small = datasets::Small3DShapes() * unstack_axis_dataset * unstack_num_dataset;
+} //namespace
+
+TEST_SUITE(NEON)
+TEST_SUITE(Unstack)
+
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
+                                                                      framework::dataset::make("InputInfo",
+{
+    TensorInfo(TensorShape(1U, 9U, 8U), 1, DataType::U8),   // Passes, 1 slice on x axis
+    TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8),   // fails because axis > input's rank
+    TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::S32),  // fails axis <  (- input's rank)
+    TensorInfo(TensorShape(3U, 7U, 5U), 1, DataType::S32),  // passes, 3 slices along X
+    TensorInfo(TensorShape(13U, 7U, 5U), 1, DataType::S16), // fails, too few output slices
+    TensorInfo(TensorShape(1U, 2U, 3U), 1, DataType::U8),   // fails mismatching data types
+}),
+framework::dataset::make("OutputInfo",
+{
+    std::vector<TensorInfo>{ TensorInfo(TensorShape(9U, 8U), 1, DataType::U8) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(2U, 3U), 1, DataType::U8) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(2U, 3U), 1, DataType::S32) },
+
+    std::vector<TensorInfo>{ TensorInfo(TensorShape(7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U), 1, DataType::S32), TensorInfo(TensorShape(7U, 5U), 1, DataType::S32) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(7U, 5U), 1, DataType::S16) }, std::vector<TensorInfo>{ TensorInfo(TensorShape(9U, 8U), 1, DataType::S32) },
+})),
+framework::dataset::make("Axis", { -3, 3, -4, -3, 1, 1 })),
+framework::dataset::make("Num", { 1, 1, 1, 1, 0, 1 })),
+framework::dataset::make("Expected", { true, false, false, true, false, false })),
+input_info, output_info, axis, num, expected)
+{
+    std::vector<TensorInfo>    ti(output_info);
+    std::vector<ITensorInfo *> vec(num);
+    for(size_t j = 0; j < vec.size(); ++j)
+    {
+        vec[j] = &ti[j];
+    }
+    ARM_COMPUTE_EXPECT(bool(NEUnstack::validate(&input_info.clone()->set_is_resizable(false), vec, axis)) == expected, framework::LogLevel::ERRORS);
+}
+
+template <typename T>
+using NEUnstackFixture = UnstackValidationFixture<Tensor, ITensor, Accessor, NEUnstack, T>;
+
+TEST_SUITE(F32)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEUnstackFixture<float>, framework::DatasetMode::PRECOMMIT, unstack_dataset_small * framework::dataset::make("DataType", { DataType::F32 }))
+{
+    ARM_COMPUTE_ERROR_ON(_target.size() != _reference.size());
+    // Validate output
+    for(size_t k = 0; k < _target.size(); ++k)
+    {
+        validate(Accessor(_target[k]), _reference[k]);
+    }
+}
+TEST_SUITE_END() // F32
+
+#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
+TEST_SUITE(F16)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEUnstackFixture<half>, framework::DatasetMode::PRECOMMIT, unstack_dataset_small * framework::dataset::make("DataType", { DataType::F16 }))
+{
+    ARM_COMPUTE_ERROR_ON(_target.size() != _reference.size());
+    // Validate output
+    for(size_t k = 0; k < _target.size(); ++k)
+    {
+        validate(Accessor(_target[k]), _reference[k]);
+    }
+}
+TEST_SUITE_END() // F16
+#endif           /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
+
+TEST_SUITE(Quantized)
+FIXTURE_DATA_TEST_CASE(RunSmall, NEUnstackFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, unstack_dataset_small * framework::dataset::make("DataType", { DataType::QASYMM8 }))
+{
+    ARM_COMPUTE_ERROR_ON(_target.size() != _reference.size());
+    // Validate output
+    for(size_t k = 0; k < _target.size(); ++k)
+    {
+        validate(Accessor(_target[k]), _reference[k]);
+    }
+}
+TEST_SUITE_END() // QASYMM8
+
+TEST_SUITE_END() // Unstack
+TEST_SUITE_END() // NEON
+} // namespace validation
+} // namespace test
+} // namespace arm_compute