diff options
Diffstat (limited to 'tests/validation/NEON/ReduceMean.cpp')
| -rw-r--r-- | tests/validation/NEON/ReduceMean.cpp | 176 |
1 files changed, 176 insertions, 0 deletions
diff --git a/tests/validation/NEON/ReduceMean.cpp b/tests/validation/NEON/ReduceMean.cpp new file mode 100644 index 0000000000..3cd7ce362e --- /dev/null +++ b/tests/validation/NEON/ReduceMean.cpp @@ -0,0 +1,176 @@ +/* + * 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/NEON/functions/NEReduceMean.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/datasets/SplitDataset.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Macros.h" +#include "tests/validation/Validation.h" +#include "tests/validation/fixtures/ReduceMeanFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +constexpr AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for 32-bit floating-point type */ +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +constexpr AbsoluteTolerance<float> tolerance_f16(0.03f); /**< Tolerance value for comparing reference's output against implementation's output for 16-bit floating-point type */ +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); /**< Tolerance value for comparing reference's output against implementation's output for 8-bit asymmetric quantized type */ + +const auto axis_keep = combine(framework::dataset::make("Axis", { Coordinates(0), Coordinates(1, 0), Coordinates(1, 2), Coordinates(0, 2), Coordinates(1, 3), Coordinates(0, 1, 2, 3) }), + framework::dataset::make("KeepDims", { true })); +const auto axis_drop = combine(framework::dataset::make("Axis", { Coordinates(0), Coordinates(1), Coordinates(3) }), framework::dataset::make("KeepDims", { false })); +} // namespace +TEST_SUITE(NEON) +TEST_SUITE(ReduceMean) + +// *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 output shape + TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32) + }), + framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(27U, 3U, 1U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::F32) + })), + framework::dataset::make("Axis", { Coordinates(4), Coordinates(0,2), Coordinates(2) })), + framework::dataset::make("Expected", { false, false, true })), + input_info, output_info, axis, expected) +{ + const Status status = NEReduceMean::validate(&input_info.clone()->set_is_resizable(false), axis, true, &output_info.clone()->set_is_resizable(false)); + ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +DATA_TEST_CASE(Configuration, + framework::DatasetMode::ALL, + combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::F32 })), + shape, data_type) +{ + // Create tensors + Tensor ref_src = create_tensor<Tensor>(shape, data_type); + Tensor dst; + + Coordinates axis(1); + + // Create and Configure function + NEReduceMean reduce_mean; + reduce_mean.configure(&ref_src, axis, true, &dst); + + // Validate valid region + TensorShape output_shape = shape; + output_shape.set(1, 1); + const ValidRegion valid_region = shape_to_valid_region(output_shape); + validate(dst.info()->valid_region(), valid_region); +} + +template <typename T> +using NEReduceMeanFixture = ReduceMeanFixture<Tensor, Accessor, NEReduceMean, T>; + +TEST_SUITE(Float) + +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, + NEReduceMeanFixture<half>, + framework::DatasetMode::PRECOMMIT, + combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F16)), concat(axis_keep, axis_drop))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f16); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, + NEReduceMeanFixture<half>, + framework::DatasetMode::NIGHTLY, + combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F16)), concat(axis_keep, axis_drop))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f16); +} +TEST_SUITE_END() // FP16 +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, + NEReduceMeanFixture<float>, + framework::DatasetMode::PRECOMMIT, + combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F32)), concat(axis_keep, axis_drop))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f32); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, + NEReduceMeanFixture<float>, + framework::DatasetMode::NIGHTLY, + combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F32)), concat(axis_keep, axis_drop))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f32); +} +TEST_SUITE_END() // FP32 +TEST_SUITE_END() // Float + +template <typename T> +using NEReduceMeanQuantizedFixture = ReduceMeanQuantizedFixture<Tensor, Accessor, NEReduceMean, T>; + +TEST_SUITE(Quantized) +TEST_SUITE(QASYMM8) +FIXTURE_DATA_TEST_CASE(RunSmall, + NEReduceMeanQuantizedFixture<uint8_t>, + framework::DatasetMode::PRECOMMIT, + combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 0) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, + NEReduceMeanQuantizedFixture<uint8_t>, + framework::DatasetMode::NIGHTLY, + combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), concat(axis_keep, axis_drop)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255, 0) }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_qasymm8); +} +TEST_SUITE_END() // QASYMM8 +TEST_SUITE_END() // Quantized +TEST_SUITE_END() // ReduceMean +TEST_SUITE_END() // NEON +} // namespace validation +} // namespace test +} // namespace arm_compute |