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author | giuros01 <giuseppe.rossini@arm.com> | 2018-12-03 17:30:00 +0000 |
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committer | Giuseppe Rossini <giuseppe.rossini@arm.com> | 2018-12-17 16:43:51 +0000 |
commit | 92fd94336e4b169005d88af401fe57bcbd50521b (patch) | |
tree | d43bc672d0f250e85c72ab310168baea3eb982dc /tests/validation/NEON/ElementwiseSquareDiff.cpp | |
parent | cc6129c06af98616a0e4d68475cfa3d92aaf63b3 (diff) | |
download | ComputeLibrary-92fd94336e4b169005d88af401fe57bcbd50521b.tar.gz |
COMPMID-1754: NEON: Implement Maximum, Minumum, SquaredDifference
Change-Id: I77e8c6a8af6ad841293ed5e66ed582035cc1424b
Reviewed-on: https://review.mlplatform.org/339
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'tests/validation/NEON/ElementwiseSquareDiff.cpp')
-rw-r--r-- | tests/validation/NEON/ElementwiseSquareDiff.cpp | 268 |
1 files changed, 268 insertions, 0 deletions
diff --git a/tests/validation/NEON/ElementwiseSquareDiff.cpp b/tests/validation/NEON/ElementwiseSquareDiff.cpp new file mode 100644 index 0000000000..0c3fab609e --- /dev/null +++ b/tests/validation/NEON/ElementwiseSquareDiff.cpp @@ -0,0 +1,268 @@ +/* + * 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 CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/NEON/functions/NEElementwiseOperations.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/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/ElementwiseOperationsFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +RelativeTolerance<float> tolerance_fp32(0.000001f); +/** Input data sets **/ +const auto ElementwiseSquaredDiffQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)), + framework::dataset::make("DataType", + DataType::QASYMM8)); +/** Input data sets **/ +const auto ElementwiseSquaredDiffS32Dataset = combine(combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::S32)), + framework::dataset::make("DataType", + DataType::S32)); +const auto ElementwiseSquaredDiffS16Dataset = combine(combine(framework::dataset::make("DataType", { DataType::S16 }), framework::dataset::make("DataType", DataType::S16)), + framework::dataset::make("DataType", DataType::S16)); +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +const auto ElementwiseSquaredDiffFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataType", DataType::F16)); +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ +const auto ElementwiseSquaredDiffFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataType", DataType::F32)); +} // namespace + +TEST_SUITE(NEON) +TEST_SUITE(ElementwiseSquaredDiff) + +template <typename T> +using NEElementwiseSquaredDiffFixture = ElementwiseSquaredDiffValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>; + +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip( + framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), // Invalid data type combination + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes + }), + framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16), + TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), + })), + framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::S32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), + TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32), + })), + framework::dataset::make("Expected", { true, true, true, false, false})), + input1_info, input2_info, output_info, expected) +{ + ARM_COMPUTE_EXPECT(bool(NEElementwiseSquaredDiff::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +TEST_SUITE(S32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), + shape) +{ + // Create tensors + Tensor ref_src1 = create_tensor<Tensor>(shape, DataType::S32); + Tensor ref_src2 = create_tensor<Tensor>(shape, DataType::S32); + Tensor dst = create_tensor<Tensor>(shape, DataType::S32); + + // Create and Configure function + NEElementwiseSquaredDiff add; + add.configure(&ref_src1, &ref_src2, &dst); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<int32_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS32Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() // S32 + +TEST_SUITE(S16) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::S16 })), + shape, data_type) +{ + // Create tensors + Tensor ref_src1 = create_tensor<Tensor>(shape, data_type); + Tensor ref_src2 = create_tensor<Tensor>(shape, DataType::S16); + Tensor dst = create_tensor<Tensor>(shape, DataType::S16); + + // Create and Configure function + NEElementwiseSquaredDiff add; + add.configure(&ref_src1, &ref_src2, &dst); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffS16Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEElementwiseSquaredDiffFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), ElementwiseSquaredDiffS16Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() // S16 + +template <typename T> +using NEElementwiseSquaredDiffQuantizedFixture = ElementwiseSquaredDiffValidationQuantizedFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>; + +TEST_SUITE(Quantized) +TEST_SUITE(QASYMM8) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), + shape) +{ + // Create tensors + Tensor ref_src1 = create_tensor<Tensor>(shape, DataType::QASYMM8); + Tensor ref_src2 = create_tensor<Tensor>(shape, DataType::QASYMM8); + Tensor dst = create_tensor<Tensor>(shape, DataType::QASYMM8); + + // Create and Configure function + NEElementwiseMin add; + add.configure(&ref_src1, &ref_src2, &dst); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), + ElementwiseSquaredDiffQASYMM8Dataset), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) })) + + ) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp32, 0.01); +} +template <typename T> +using NEElementwiseSquaredDiffQuantizedBroadcastFixture = ElementwiseSquaredDiffQuantizedBroadcastValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>; + +FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseSquaredDiffQuantizedBroadcastFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(combine(datasets::SmallShapesBroadcast(), + ElementwiseSquaredDiffQASYMM8Dataset), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })), + framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) }))) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() +TEST_SUITE_END() + +TEST_SUITE(Float) +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +TEST_SUITE(F16) +FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP16Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() // F16 +#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ + +TEST_SUITE(F32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, framework::dataset::concat(datasets::SmallShapes(), datasets::LargeShapes()), + shape) +{ + // Create tensors + Tensor ref_src1 = create_tensor<Tensor>(shape, DataType::F32); + Tensor ref_src2 = create_tensor<Tensor>(shape, DataType::F32); + Tensor dst = create_tensor<Tensor>(shape, DataType::F32); + + // Create and Configure function + NEElementwiseSquaredDiff add; + add.configure(&ref_src1, &ref_src2, &dst); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(dst.info()->valid_region(), valid_region); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseSquaredDiffFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseSquaredDiffFP32Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEElementwiseSquaredDiffFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), ElementwiseSquaredDiffFP32Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} + +template <typename T> +using NEElementwiseSquaredDiffBroadcastFixture = ElementwiseSquaredDiffBroadcastValidationFixture<Tensor, Accessor, NEElementwiseSquaredDiff, T>; + +FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(), + ElementwiseSquaredDiffFP32Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} + +FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEElementwiseSquaredDiffBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(), + ElementwiseSquaredDiffFP32Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference); +} +TEST_SUITE_END() // F32 +TEST_SUITE_END() // Float + +TEST_SUITE_END() // ElementwiseSquaredDiff +TEST_SUITE_END() // NEON +} // namespace validation +} // namespace test +} // namespace arm_compute |