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-rw-r--r--tests/validation/NEON/MinMaxLocation.cpp141
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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.
+ */
+
+#include "arm_compute/runtime/NEON/functions/NEMinMaxLocation.h"
+#include "tests/NEON/Accessor.h"
+#include "tests/NEON/ArrayAccessor.h"
+#include "tests/PaddingCalculator.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Macros.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/MinMaxLocationFixture.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+TEST_SUITE(NEON)
+TEST_SUITE(MinMaxLocation)
+
+template <typename T>
+using NEMinMaxLocationFixture = MinMaxLocationValidationFixture<Tensor, Accessor, Array<Coordinates2D>, ArrayAccessor<Coordinates2D>, NEMinMaxLocation, T>;
+
+void validate_configuration(const Tensor &src, TensorShape shape)
+{
+ ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Create output storage
+ int32_t min{};
+ int32_t max{};
+ Coordinates2DArray min_loc(shape.total_size());
+ Coordinates2DArray max_loc(shape.total_size());
+
+ // Create and configure function
+ NEMinMaxLocation min_max_loc;
+ min_max_loc.configure(&src, &min, &max, &min_loc, &max_loc);
+
+ // Validate padding
+ const PaddingSize padding = PaddingCalculator(shape.x(), 1).required_padding();
+ validate(src.info()->padding(), padding);
+}
+
+TEST_SUITE(U8)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::U8)), shape, data_type)
+{
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, data_type);
+ src.info()->set_format(Format::U8);
+
+ validate_configuration(src, shape);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+ DataType::U8)))
+{
+ validate_min_max_loc(_target, _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+ DataType::U8)))
+{
+ validate_min_max_loc(_target, _reference);
+}
+
+TEST_SUITE_END() // U8
+
+TEST_SUITE(S16)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::S16)), shape, data_type)
+{
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, data_type);
+ src.info()->set_format(Format::S16);
+
+ validate_configuration(src, shape);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+ DataType::S16)))
+{
+ validate_min_max_loc(_target, _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+ DataType::S16)))
+{
+ validate_min_max_loc(_target, _reference);
+}
+
+TEST_SUITE_END() // S16
+
+TEST_SUITE(Float)
+DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::F32)), shape, data_type)
+{
+ // Create tensors
+ Tensor src = create_tensor<Tensor>(shape, data_type);
+ src.info()->set_format(Format::F32);
+
+ validate_configuration(src, shape);
+}
+
+FIXTURE_DATA_TEST_CASE(RunSmall, NEMinMaxLocationFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
+ DataType::F32)))
+{
+ validate_min_max_loc(_target, _reference);
+}
+
+FIXTURE_DATA_TEST_CASE(RunLarge, NEMinMaxLocationFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
+ DataType::F32)))
+{
+ validate_min_max_loc(_target, _reference);
+}
+
+TEST_SUITE_END() // F32
+
+TEST_SUITE_END() // MinMaxLocation
+TEST_SUITE_END() // NEON
+} // namespace validation
+} // namespace test
+} // namespace arm_compute