diff options
Diffstat (limited to 'tests/validation_new')
-rw-r--r-- | tests/validation_new/CL/SoftmaxLayer.cpp | 168 | ||||
-rw-r--r-- | tests/validation_new/CPP/SoftmaxLayer.cpp | 122 | ||||
-rw-r--r-- | tests/validation_new/CPP/SoftmaxLayer.h | 47 | ||||
-rw-r--r-- | tests/validation_new/NEON/SoftmaxLayer.cpp | 175 | ||||
-rw-r--r-- | tests/validation_new/fixtures/SoftmaxLayerFixture.h | 133 |
5 files changed, 645 insertions, 0 deletions
diff --git a/tests/validation_new/CL/SoftmaxLayer.cpp b/tests/validation_new/CL/SoftmaxLayer.cpp new file mode 100644 index 0000000000..3edc7b2d6e --- /dev/null +++ b/tests/validation_new/CL/SoftmaxLayer.cpp @@ -0,0 +1,168 @@ +/* + * 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/core/Types.h" +#include "arm_compute/runtime/CL/CLTensor.h" +#include "arm_compute/runtime/CL/CLTensorAllocator.h" +#include "arm_compute/runtime/CL/functions/CLSoftmaxLayer.h" +#include "framework/Asserts.h" +#include "framework/Macros.h" +#include "framework/datasets/Datasets.h" +#include "tests/CL/CLAccessor.h" +#include "tests/PaddingCalculator.h" +#include "tests/datasets_new/ShapeDatasets.h" +#include "tests/validation_new/Validation.h" +#include "tests/validation_new/fixtures/SoftmaxLayerFixture.h" +#include "tests/validation_new/half.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +/** Tolerance for float operations */ +constexpr float tolerance_f16 = 0.002f; +constexpr float tolerance_f32 = 0.000001f; +/** Tolerance for fixed point operations */ +constexpr int8_t tolerance_fixed_point = 2; + +/** CNN data types */ +const auto CNNDataTypes = framework::dataset::make("DataType", +{ + DataType::F16, + DataType::F32, + DataType::QS8, + DataType::QS16, +}); +} // namespace + +TEST_SUITE(CL) +TEST_SUITE(SoftmaxLayer) + +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), shape, data_type) +{ + // Set fixed point position data type allowed + const int fixed_point_position = is_data_type_fixed_point(data_type) ? 3 : 0; + + // Create tensors + CLTensor src = create_tensor<CLTensor>(shape, data_type, 1, fixed_point_position); + CLTensor dst = create_tensor<CLTensor>(shape, data_type, 1, fixed_point_position); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Create and configure function + CLSoftmaxLayer smx_layer; + smx_layer.configure(&src, &dst); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(src.info()->valid_region(), valid_region); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +template <typename T> +using CLSoftmaxLayerFixture = SoftmaxValidationFixture<CLTensor, CLAccessor, CLSoftmaxLayer, T>; + +TEST_SUITE(Float) +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixture<half_float::half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f16); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F16))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f16); +} +TEST_SUITE_END() + +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f32); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_f32); +} +TEST_SUITE_END() +TEST_SUITE_END() + +template <typename T> +using CLSoftmaxLayerFixedPointFixture = SoftmaxValidationFixedPointFixture<CLTensor, CLAccessor, CLSoftmaxLayer, T>; + +TEST_SUITE(Quantized) +TEST_SUITE(QS8) +// Testing for fixed point position [1,6) as reciprocal limits the maximum fixed point position to 5 +FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", + DataType::QS8)), + framework::dataset::make("FractionalBits", 1, 6))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_fixed_point); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", + DataType::QS8)), + framework::dataset::make("FractionalBits", 1, 6))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_fixed_point); +} +TEST_SUITE_END() + +TEST_SUITE(QS16) +// Testing for fixed point position [1,14) as reciprocal limits the maximum fixed point position to 14 +FIXTURE_DATA_TEST_CASE(RunSmall, CLSoftmaxLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", + DataType::QS16)), + framework::dataset::make("FractionalBits", 1, 14))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_fixed_point); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLSoftmaxLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", + DataType::QS16)), + framework::dataset::make("FractionalBits", 1, 14))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance_fixed_point); +} +TEST_SUITE_END() +TEST_SUITE_END() + +TEST_SUITE_END() +TEST_SUITE_END() +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation_new/CPP/SoftmaxLayer.cpp b/tests/validation_new/CPP/SoftmaxLayer.cpp new file mode 100644 index 0000000000..8c2cda8296 --- /dev/null +++ b/tests/validation_new/CPP/SoftmaxLayer.cpp @@ -0,0 +1,122 @@ +/* + * 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 "SoftmaxLayer.h" + +#include "tests/validation_new/FixedPoint.h" +#include "tests/validation_new/half.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type> +SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src) +{ + // Create reference + SimpleTensor<T> dst{ src.shape(), src.data_type(), 1, src.fixed_point_position() }; + + // Compute reference + const int cols = src.shape()[0]; + const int upper_dims = src.num_elements() / cols; + + for(int r = 0; r < upper_dims; ++r) + { + const T *src_row_ptr = src.data() + r * cols; + T *dst_row_ptr = dst.data() + r * cols; + + // Find max + const T max = *std::max_element(src_row_ptr, src_row_ptr + cols); + + // Regularize + T sum(0.f); + std::transform(src_row_ptr, src_row_ptr + cols, dst_row_ptr, [&sum, max](T val) + { + const T res(std::exp(val - max)); + sum += res; + return res; + }); + + // Normalize + std::transform(dst_row_ptr, dst_row_ptr + cols, dst_row_ptr, [sum](T val) + { + return val / sum; + }); + } + + return dst; +} + +template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type> +SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src) +{ + using namespace fixed_point_arithmetic; + + // Create reference + SimpleTensor<T> dst{ src.shape(), src.data_type(), 1, src.fixed_point_position() }; + + // Compute reference + const int cols = src.shape()[0]; + const int upper_dims = src.num_elements() / cols; + + for(int r = 0; r < upper_dims; ++r) + { + const T *src_row_ptr = src.data() + r * cols; + T *dst_row_ptr = dst.data() + r * cols; + + // Find max + const fixed_point<T> max(*std::max_element(src_row_ptr, src_row_ptr + cols), src.fixed_point_position(), true); + + // Regularize + using promoted_type = fixed_point_arithmetic::traits::promote_t<T>; + fixed_point<promoted_type> sum(0, src.fixed_point_position(), true); + std::transform(src_row_ptr, src_row_ptr + cols, dst_row_ptr, [&](T val) + { + const fixed_point<T> res = exp(fixed_point<T>(val, src.fixed_point_position(), true) - max); + sum = add(sum, fixed_point<promoted_type>(res.raw(), src.fixed_point_position(), true)); + return res.raw(); + }); + + // Normalize + fixed_point<T> saturated_sum(sum); + std::transform(dst_row_ptr, dst_row_ptr + cols, dst_row_ptr, [&](T val) + { + return div(fixed_point<T>(val, src.fixed_point_position(), true), saturated_sum).raw(); + }); + } + + return dst; +} + +template SimpleTensor<float> softmax_layer(const SimpleTensor<float> &src); +template SimpleTensor<half_float::half> softmax_layer(const SimpleTensor<half_float::half> &src); +template SimpleTensor<qint8_t> softmax_layer(const SimpleTensor<qint8_t> &src); +template SimpleTensor<qint16_t> softmax_layer(const SimpleTensor<qint16_t> &src); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation_new/CPP/SoftmaxLayer.h b/tests/validation_new/CPP/SoftmaxLayer.h new file mode 100644 index 0000000000..28a532ee96 --- /dev/null +++ b/tests/validation_new/CPP/SoftmaxLayer.h @@ -0,0 +1,47 @@ +/* + * 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. + */ +#ifndef __ARM_COMPUTE_TEST_SOFTMAX_LAYER_H__ +#define __ARM_COMPUTE_TEST_SOFTMAX_LAYER_H__ + +#include "tests/validation_new/Helpers.h" +#include "tests/validation_new/SimpleTensor.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type = 0> +SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src); + +template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type = 0> +SimpleTensor<T> softmax_layer(const SimpleTensor<T> &src); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* __ARM_COMPUTE_TEST_SOFTMAX_LAYER_H__ */ diff --git a/tests/validation_new/NEON/SoftmaxLayer.cpp b/tests/validation_new/NEON/SoftmaxLayer.cpp new file mode 100644 index 0000000000..ce5b8b8359 --- /dev/null +++ b/tests/validation_new/NEON/SoftmaxLayer.cpp @@ -0,0 +1,175 @@ +/* + * 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/core/Types.h" +#include "arm_compute/runtime/NEON/functions/NESoftmaxLayer.h" +#include "arm_compute/runtime/Tensor.h" +#include "arm_compute/runtime/TensorAllocator.h" +#include "framework/Asserts.h" +#include "framework/Macros.h" +#include "framework/datasets/Datasets.h" +#include "tests/NEON/Accessor.h" +#include "tests/PaddingCalculator.h" +#include "tests/datasets_new/ShapeDatasets.h" +#include "tests/validation_new/Validation.h" +#include "tests/validation_new/fixtures/SoftmaxLayerFixture.h" +#include "tests/validation_new/half.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +/** Tolerance for float operations */ +constexpr float tolerance_f32 = 0.000001f; +#ifdef ARM_COMPUTE_ENABLE_FP16 +const float tolerance_f16 = 0.0001f; +#endif /* ARM_COMPUTE_ENABLE_FP16*/ +/** Tolerance for fixed point operations */ +constexpr int8_t tolerance_fixed_point = 2; + +/** CNN data types */ +const auto CNNDataTypes = framework::dataset::make("DataType", +{ +#ifdef ARM_COMPUTE_ENABLE_FP16 + DataType::F16, +#endif /* ARM_COMPUTE_ENABLE_FP16 */ + DataType::F32, + DataType::QS8, + DataType::QS16, +}); +} // namespace + +TEST_SUITE(NEON) +TEST_SUITE(SoftmaxLayer) + +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), shape, data_type) +{ + // Set fixed point position data type allowed + const int fixed_point_position = is_data_type_fixed_point(data_type) ? 3 : 0; + + // Create tensors + Tensor src = create_tensor<Tensor>(shape, data_type, 1, fixed_point_position); + Tensor dst = create_tensor<Tensor>(shape, data_type, 1, fixed_point_position); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Create and configure function + NESoftmaxLayer smx_layer; + smx_layer.configure(&src, &dst); + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(src.info()->valid_region(), valid_region); + validate(dst.info()->valid_region(), valid_region); + + // Validate padding + const int step = 16 / data_size_from_type(data_type); + const PaddingSize padding = PaddingCalculator(shape.x(), step).required_padding(); + validate(src.info()->padding(), padding); + validate(dst.info()->padding(), padding); +} + +template <typename T> +using NESoftmaxLayerFixture = SoftmaxValidationFixture<Tensor, Accessor, NESoftmaxLayer, T>; + +TEST_SUITE(Float) +#ifdef ARM_COMPUTE_ENABLE_FP16 +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixture<half_float::half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f16); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F16))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f16); +} +TEST_SUITE_END() +#endif /* ARM_COMPUTE_ENABLE_FP16 */ + +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f32); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f32); +} +TEST_SUITE_END() +TEST_SUITE_END() + +template <typename T> +using NESoftmaxLayerFixedPointFixture = SoftmaxValidationFixedPointFixture<Tensor, Accessor, NESoftmaxLayer, T>; + +TEST_SUITE(Quantized) +TEST_SUITE(QS8) +// Testing for fixed point position [1,6) as reciprocal limits the maximum fixed point position to 5 +FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", + DataType::QS8)), + framework::dataset::make("FractionalBits", 1, 6))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fixed_point); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", + DataType::QS8)), + framework::dataset::make("FractionalBits", 1, 6))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fixed_point); +} +TEST_SUITE_END() + +TEST_SUITE(QS16) +// Testing for fixed point position [1,14) as reciprocal limits the maximum fixed point position to 14 +FIXTURE_DATA_TEST_CASE(RunSmall, NESoftmaxLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", + DataType::QS16)), + framework::dataset::make("FractionalBits", 1, 14))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fixed_point); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NESoftmaxLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", + DataType::QS16)), + framework::dataset::make("FractionalBits", 1, 14))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_fixed_point); +} +TEST_SUITE_END() +TEST_SUITE_END() + +TEST_SUITE_END() +TEST_SUITE_END() +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation_new/fixtures/SoftmaxLayerFixture.h b/tests/validation_new/fixtures/SoftmaxLayerFixture.h new file mode 100644 index 0000000000..c6f3d2216f --- /dev/null +++ b/tests/validation_new/fixtures/SoftmaxLayerFixture.h @@ -0,0 +1,133 @@ +/* + * 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. + */ +#ifndef ARM_COMPUTE_TEST_SOFTMAX_LAYER_FIXTURE +#define ARM_COMPUTE_TEST_SOFTMAX_LAYER_FIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/Tensor.h" +#include "framework/Asserts.h" +#include "framework/Fixture.h" +#include "tests/AssetsLibrary.h" +#include "tests/Globals.h" +#include "tests/IAccessor.h" +#include "tests/validation_new/CPP/SoftmaxLayer.h" + +#include <random> + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class SoftmaxValidationFixedPointFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape shape, DataType data_type, int fractional_bits) + { + _fractional_bits = fractional_bits; + + _target = compute_target(shape, data_type, fractional_bits); + _reference = compute_reference(shape, data_type, fractional_bits); + } + +protected: + template <typename U> + void fill(U &&tensor) + { + if(_fractional_bits == 0) + { + std::uniform_real_distribution<> distribution(-1000.f, 1000.f); + library->fill(tensor, distribution, 0); + } + else + { + const int one_fixed = 1 << _fractional_bits; + std::uniform_int_distribution<> distribution(-one_fixed, one_fixed); + library->fill(tensor, distribution, 0); + } + } + + TensorType compute_target(const TensorShape &shape, DataType data_type, int fixed_point_position = 0) + { + // Create tensors + TensorType src = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position); + TensorType dst = create_tensor<TensorType>(shape, data_type, 1, fixed_point_position); + + // Create and configure function + FunctionType smx_layer; + smx_layer.configure(&src, &dst); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Allocate tensors + src.allocator()->allocate(); + dst.allocator()->allocate(); + + ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Fill tensors + fill(AccessorType(src)); + + // Compute function + smx_layer.run(); + + return dst; + } + + SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, int fixed_point_position = 0) + { + // Create reference + SimpleTensor<T> src{ shape, data_type, 1, fixed_point_position }; + + // Fill reference + fill(src); + + return reference::softmax_layer<T>(src); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; + int _fractional_bits{}; +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class SoftmaxValidationFixture : public SoftmaxValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(TensorShape shape, DataType data_type) + { + SoftmaxValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, data_type, 0); + } +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_SOFTMAX_LAYER_FIXTURE */ |