diff options
author | George Wort <george.wort@arm.com> | 2019-01-15 11:00:29 +0000 |
---|---|---|
committer | George Wort <george.wort@arm.com> | 2019-01-21 16:37:31 +0000 |
commit | a1e7e2818ab282e4d3b707feb5783b4bd4fbe45b (patch) | |
tree | 30c4395d0b18e90f5e1cbbf5ee1612c2ea679774 /tests/validation | |
parent | d88590f4022bfb6eda3bad4fa599727bab723667 (diff) | |
download | ComputeLibrary-a1e7e2818ab282e4d3b707feb5783b4bd4fbe45b.tar.gz |
COMPMID-1768: NEON: Implement RealDiv
Change-Id: I0868669f7b733df141794fba1d79436e7581bd3a
Reviewed-on: https://review.mlplatform.org/426
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/validation')
-rw-r--r-- | tests/validation/NEON/ElementwiseDivision.cpp | 155 | ||||
-rw-r--r-- | tests/validation/fixtures/ElementwiseOperationsFixture.h | 57 | ||||
-rw-r--r-- | tests/validation/reference/ElementwiseOperations.cpp | 4 |
3 files changed, 214 insertions, 2 deletions
diff --git a/tests/validation/NEON/ElementwiseDivision.cpp b/tests/validation/NEON/ElementwiseDivision.cpp new file mode 100644 index 0000000000..86a2056ca8 --- /dev/null +++ b/tests/validation/NEON/ElementwiseDivision.cpp @@ -0,0 +1,155 @@ +/* + * Copyright (c) 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/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 **/ +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +RelativeTolerance<half> tolerance_fp16(static_cast<half>(0.01f)); +const auto ElementwiseDivisionFP16Dataset = 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 ElementwiseDivisionFP32Dataset = 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(ElementwiseDivision) + +template <typename T> +using NEElementwiseDivisionFixture = ElementwiseDivisionValidationFixture<Tensor, Accessor, NEElementwiseDivision, 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::F32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // 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::F32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32), + 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::F32), + TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), + TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), + 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(NEElementwiseDivision::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(Float) +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +TEST_SUITE(F16) +FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseDivisionFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseDivisionFP16Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp16, 0.01); +} +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 + NEElementwiseDivision 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, NEElementwiseDivisionFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), ElementwiseDivisionFP32Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp32, 0.01); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEElementwiseDivisionFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), ElementwiseDivisionFP32Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp32, 0.01); +} + +template <typename T> +using NEElementwiseDivisionBroadcastFixture = ElementwiseDivisionBroadcastValidationFixture<Tensor, Accessor, NEElementwiseDivision, T>; + +FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseDivisionBroadcastFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapesBroadcast(), + ElementwiseDivisionFP32Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp32, 0.01); +} + +FIXTURE_DATA_TEST_CASE(RunLargeBroadcast, NEElementwiseDivisionBroadcastFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapesBroadcast(), + ElementwiseDivisionFP32Dataset)) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fp32, 0.01); +} +TEST_SUITE_END() // F32 +TEST_SUITE_END() // Float + +TEST_SUITE_END() // ElementwiseDivision +TEST_SUITE_END() // NEON +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/fixtures/ElementwiseOperationsFixture.h b/tests/validation/fixtures/ElementwiseOperationsFixture.h index 8b88f6a8fb..53030842e7 100644 --- a/tests/validation/fixtures/ElementwiseOperationsFixture.h +++ b/tests/validation/fixtures/ElementwiseOperationsFixture.h @@ -325,6 +325,63 @@ public: qinfo0, qinfo1, qinfo_out); } }; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ElementwiseDivisionBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type) + { + ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape0, shape1, + data_type0, data_type1, output_data_type, + QuantizationInfo(), QuantizationInfo(), QuantizationInfo()); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ElementwiseDivisionValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type) + { + ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape, + data_type0, data_type1, output_data_type, + QuantizationInfo(), QuantizationInfo(), QuantizationInfo()); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ElementwiseDivisionValidationQuantizedFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape, DataType data_type0, DataType data_type1, DataType output_data_type, + QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out) + + { + ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape, shape, + data_type0, data_type1, output_data_type, + qinfo0, qinfo1, qinfo_out); + } +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ElementwiseDivisionQuantizedBroadcastValidationFixture : public ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type0, DataType data_type1, DataType output_data_type, + QuantizationInfo qinfo0, QuantizationInfo qinfo1, QuantizationInfo qinfo_out) + + { + ArithmeticOperationsGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(ArithmeticOperation::DIV, shape0, shape1, + data_type0, data_type1, output_data_type, + qinfo0, qinfo1, qinfo_out); + } +}; + } // namespace validation } // namespace test } // namespace arm_compute diff --git a/tests/validation/reference/ElementwiseOperations.cpp b/tests/validation/reference/ElementwiseOperations.cpp index 1f0d42b26e..6d533edea5 100644 --- a/tests/validation/reference/ElementwiseOperations.cpp +++ b/tests/validation/reference/ElementwiseOperations.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018 ARM Limited. + * Copyright (c) 2018-2019 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -74,7 +74,7 @@ T arithm_op(ArithmeticOperation op, T src1, T src2, ConvertPolicy convert_policy } T result; - if(op == ArithmeticOperation::ADD || op == ArithmeticOperation::SUB) + if(op == ArithmeticOperation::ADD || op == ArithmeticOperation::SUB || op == ArithmeticOperation::DIV) { result = (convert_policy == ConvertPolicy::SATURATE) ? saturate_cast<T>(val) : static_cast<T>(val); } |