COMPMID-1726: Implement CLUnstack.

Change-Id: I94b0707d19757c5f5d7ca66d9c47e378867126a3
Reviewed-on: https://review.mlplatform.org/325
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>

1 files changed, 126 insertions, 0 deletions

diff --git a/tests/validation/CL/Unstack.cpp b/tests/validation/CL/Unstack.cpp
new file mode 100644
index 0000000000..13b8872ce4
--- /dev/null
+++ b/tests/validation/CL/Unstack.cpp
@@ -0,0 +1,126 @@
+/*
+ * Copyright (c) 2018 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/CL/CLTensor.h"
+#include "arm_compute/runtime/CL/CLTensorAllocator.h"
+#include "arm_compute/runtime/CL/functions/CLUnstack.h"
+
+#include "tests/CL/CLAccessor.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(CL)
+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(CLUnstack::validate(&input_info.clone()->set_is_resizable(false), vec, axis)) == expected, framework::LogLevel::ERRORS);
+}
+
+template <typename T>
+using CLUnstackFixture = UnstackValidationFixture<CLTensor, ICLTensor, CLAccessor, CLUnstack, T>;
+
+TEST_SUITE(F32)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLUnstackFixture<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(CLAccessor(_target[k]), _reference[k]);
+    }
+}
+TEST_SUITE_END() // F32
+
+TEST_SUITE(F16)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLUnstackFixture<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(CLAccessor(_target[k]), _reference[k]);
+    }
+}
+TEST_SUITE_END() // F16
+
+TEST_SUITE(Quantized)
+FIXTURE_DATA_TEST_CASE(RunSmall, CLUnstackFixture<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(CLAccessor(_target[k]), _reference[k]);
+    }
+}
+TEST_SUITE_END() // QASYMM8
+
+TEST_SUITE_END() // Unstack
+TEST_SUITE_END() // CL
+} // namespace validation
+} // namespace test
+} // namespace arm_compute