diff options
Diffstat (limited to 'tests/validation_new')
| -rw-r--r-- | tests/validation_new/CL/ActivationLayer.cpp | 245 | ||||
| -rw-r--r-- | tests/validation_new/CPP/ActivationLayer.cpp | 158 | ||||
| -rw-r--r-- | tests/validation_new/CPP/ActivationLayer.h | 47 | ||||
| -rw-r--r-- | tests/validation_new/Helpers.h | 85 | ||||
| -rw-r--r-- | tests/validation_new/NEON/ActivationLayer.cpp | 230 | ||||
| -rw-r--r-- | tests/validation_new/fixtures/ActivationLayerFixture.h | 157 |
6 files changed, 922 insertions, 0 deletions
diff --git a/tests/validation_new/CL/ActivationLayer.cpp b/tests/validation_new/CL/ActivationLayer.cpp new file mode 100644 index 0000000000..e1cc4e54e2 --- /dev/null +++ b/tests/validation_new/CL/ActivationLayer.cpp @@ -0,0 +1,245 @@ +/* + * 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/CLActivationLayer.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/ActivationFunctionsDataset.h" +#include "tests/datasets_new/ShapeDatasets.h" +#include "tests/validation_new/Validation.h" +#include "tests/validation_new/fixtures/ActivationLayerFixture.h" +#include "tests/validation_new/half.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +/** Define tolerance of the activation layer. + * + * @param[in] activation The activation function used. + * @param[in] data_type Data type. + * + * @return Tolerance depending on the activation function. + */ +float tolerance(ActivationLayerInfo::ActivationFunction activation, DataType data_type) +{ + switch(activation) + { + case ActivationLayerInfo::ActivationFunction::LINEAR: + return data_type == DataType::F16 ? 0.2f : 0.f; + case ActivationLayerInfo::ActivationFunction::SQUARE: + return data_type == DataType::F16 ? 0.1f : 0.f; + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + if(is_data_type_fixed_point(data_type)) + { + return 5.f; + } + else + { + return data_type == DataType::F16 ? 0.001f : 0.f; + } + case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: + return data_type == DataType::F16 ? 0.00001f : 0.f; + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + case ActivationLayerInfo::ActivationFunction::SQRT: + if(is_data_type_fixed_point(data_type)) + { + return 5.f; + } + else + { + return data_type == DataType::F16 ? 0.01f : 0.00001f; + } + case ActivationLayerInfo::ActivationFunction::TANH: + if(is_data_type_fixed_point(data_type)) + { + return 5.f; + } + else + { + return data_type == DataType::F16 ? 0.001f : 0.00001f; + } + default: + return 0.f; + } +} + +/** CNN data types */ +const auto CNNDataTypes = framework::dataset::make("DataType", +{ + DataType::F16, + DataType::F32, + DataType::QS8, + DataType::QS16, +}); + +/** Input data sets. */ +const auto ActivationDataset = combine(combine(framework::dataset::make("InPlace", { false, true }), datasets::ActivationFunctions()), framework::dataset::make("AlphaBeta", { 0.5f, 1.f })); +} // namespace + +TEST_SUITE(CL) +TEST_SUITE(ActivationLayer) + +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), framework::dataset::make("InPlace", { false, true })), + shape, data_type, in_place) +{ + // 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 + CLActivationLayer act_layer; + + if(in_place) + { + act_layer.configure(&src, nullptr, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS)); + } + else + { + act_layer.configure(&src, &dst, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS)); + } + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(src.info()->valid_region(), valid_region); + + if(!in_place) + { + validate(dst.info()->valid_region(), valid_region); + } + + // Validate padding + const int step = 16 / arm_compute::data_size_from_type(data_type); + const PaddingSize padding = PaddingCalculator(shape.x(), step).required_padding(); + validate(src.info()->padding(), padding); + + if(!in_place) + { + validate(dst.info()->padding(), padding); + } +} + +template <typename T> +using CLActivationLayerFixture = ActivationValidationFixture<CLTensor, CLAccessor, CLActivationLayer, T>; + +TEST_SUITE(Float) +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture<half_float::half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), + framework::dataset::make("DataType", + DataType::F16))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), + framework::dataset::make("DataType", + DataType::F16))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); +} +TEST_SUITE_END() + +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make("DataType", + DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make("DataType", + DataType::F32))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); +} +TEST_SUITE_END() +TEST_SUITE_END() + +template <typename T> +using CLActivationLayerFixedPointFixture = ActivationValidationFixedPointFixture<CLTensor, CLAccessor, CLActivationLayer, T>; + +TEST_SUITE(Quantized) +TEST_SUITE(QS8) +// We test for fixed point precision [3,5] because [1,2] and [6,7] ranges cause +// overflowing issues in most of the transcendentals functions. +FIXTURE_DATA_TEST_CASE(RunSmall, CLActivationLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), ActivationDataset), + framework::dataset::make("DataType", + DataType::QS8)), + framework::dataset::make("FractionalBits", 3, 6))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), ActivationDataset), + framework::dataset::make("DataType", + DataType::QS8)), + framework::dataset::make("FractionalBits", 3, 6))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); +} +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, CLActivationLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), ActivationDataset), + framework::dataset::make("DataType", + DataType::QS16)), + framework::dataset::make("FractionalBits", 1, 14))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); +} +FIXTURE_DATA_TEST_CASE(RunLarge, CLActivationLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), ActivationDataset), + framework::dataset::make("DataType", + DataType::QS16)), + framework::dataset::make("FractionalBits", 1, 14))) +{ + // Validate output + validate(CLAccessor(_target), _reference, tolerance(_function, _data_type)); +} +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/ActivationLayer.cpp b/tests/validation_new/CPP/ActivationLayer.cpp new file mode 100644 index 0000000000..052c3aa566 --- /dev/null +++ b/tests/validation_new/CPP/ActivationLayer.cpp @@ -0,0 +1,158 @@ +/* + * 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 "ActivationLayer.h" + +#include "tests/validation_new/FixedPoint.h" +#include "tests/validation_new/Helpers.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> activation_layer(const SimpleTensor<T> &src, ActivationLayerInfo info) +{ + // Create reference + SimpleTensor<T> dst{ src.shape(), src.data_type(), 1, src.fixed_point_position() }; + + // Compute reference + const T a(info.a()); + const T b(info.b()); + + for(int i = 0; i < src.num_elements(); ++i) + { + T x = src[i]; + + switch(info.activation()) + { + case ActivationLayerInfo::ActivationFunction::ABS: + dst[i] = std::abs(x); + break; + case ActivationLayerInfo::ActivationFunction::LINEAR: + dst[i] = a * x + b; + break; + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + dst[i] = static_cast<T>(1) / (static_cast<T>(1) + std::exp(-x)); + break; + case ActivationLayerInfo::ActivationFunction::RELU: + dst[i] = std::max<T>(static_cast<T>(0), x); + break; + case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU: + dst[i] = std::min<T>(a, std::max(static_cast<T>(0), x)); + break; + case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: + dst[i] = (x > 0) ? x : a * x; + break; + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + dst[i] = std::log(static_cast<T>(1) + std::exp(x)); + break; + case ActivationLayerInfo::ActivationFunction::SQRT: + dst[i] = std::sqrt(x); + break; + case ActivationLayerInfo::ActivationFunction::SQUARE: + dst[i] = x * x; + break; + case ActivationLayerInfo::ActivationFunction::TANH: + dst[i] = a * std::tanh(b * x); + break; + default: + ARM_COMPUTE_ERROR("Unsupported activation function"); + } + } + + return dst; +} + +template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type> +SimpleTensor<T> activation_layer(const SimpleTensor<T> &src, ActivationLayerInfo info) +{ + using namespace fixed_point_arithmetic; + + // Create reference + SimpleTensor<T> dst{ src.shape(), src.data_type(), 1, src.fixed_point_position() }; + + // Compute reference + const int fixed_point_position = src.fixed_point_position(); + const fixed_point<T> a(info.a(), fixed_point_position); + const fixed_point<T> b(info.b(), fixed_point_position); + const fixed_point<T> const_0(0, fixed_point_position); + const fixed_point<T> const_1(1, fixed_point_position); + + for(int i = 0; i < src.num_elements(); ++i) + { + fixed_point<T> x(src[i], fixed_point_position, true); + + switch(info.activation()) + { + case ActivationLayerInfo::ActivationFunction::ABS: + dst[i] = abs(x).raw(); + break; + case ActivationLayerInfo::ActivationFunction::LINEAR: + dst[i] = add(b, mul(a, x)).raw(); + break; + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + dst[i] = (const_1 / (const_1 + exp(-x))).raw(); + break; + case ActivationLayerInfo::ActivationFunction::RELU: + dst[i] = max(const_0, x).raw(); + break; + case ActivationLayerInfo::ActivationFunction::BOUNDED_RELU: + dst[i] = min(a, max(const_0, x)).raw(); + break; + case ActivationLayerInfo::ActivationFunction::LEAKY_RELU: + dst[i] = (x > const_0) ? x.raw() : mul(a, x).raw(); + break; + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + dst[i] = log(const_1 + exp(x)).raw(); + break; + case ActivationLayerInfo::ActivationFunction::SQRT: + dst[i] = (const_1 / inv_sqrt(x)).raw(); + break; + case ActivationLayerInfo::ActivationFunction::SQUARE: + dst[i] = mul(x, x).raw(); + break; + case ActivationLayerInfo::ActivationFunction::TANH: + dst[i] = mul(a, tanh(mul(b, x))).raw(); + break; + default: + ARM_COMPUTE_ERROR("Unsupported activation function"); + } + } + + return dst; +} + +template SimpleTensor<float> activation_layer(const SimpleTensor<float> &src, ActivationLayerInfo info); +template SimpleTensor<half_float::half> activation_layer(const SimpleTensor<half_float::half> &src, ActivationLayerInfo info); +template SimpleTensor<qint8_t> activation_layer(const SimpleTensor<qint8_t> &src, ActivationLayerInfo info); +template SimpleTensor<qint16_t> activation_layer(const SimpleTensor<qint16_t> &src, ActivationLayerInfo info); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation_new/CPP/ActivationLayer.h b/tests/validation_new/CPP/ActivationLayer.h new file mode 100644 index 0000000000..5f4ef46827 --- /dev/null +++ b/tests/validation_new/CPP/ActivationLayer.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_ACTIVATION_LAYER_H__ +#define __ARM_COMPUTE_TEST_ACTIVATION_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> activation_layer(const SimpleTensor<T> &src, ActivationLayerInfo info); + +template <typename T, typename std::enable_if<std::is_integral<T>::value, int>::type = 0> +SimpleTensor<T> activation_layer(const SimpleTensor<T> &src, ActivationLayerInfo info); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* __ARM_COMPUTE_TEST_ACTIVATION_LAYER_H__ */ diff --git a/tests/validation_new/Helpers.h b/tests/validation_new/Helpers.h index e25b684c11..3058b8eaee 100644 --- a/tests/validation_new/Helpers.h +++ b/tests/validation_new/Helpers.h @@ -24,9 +24,13 @@ #ifndef __ARM_COMPUTE_TEST_VALIDATION_HELPERS_H__ #define __ARM_COMPUTE_TEST_VALIDATION_HELPERS_H__ +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Utils.h" #include "tests/validation/half.h" +#include <random> #include <type_traits> +#include <utility> namespace arm_compute { @@ -43,6 +47,87 @@ template <> struct is_floating_point<half_float::half> : public std::true_type { }; + +/** Helper function to get the testing range for each activation layer. + * + * @param[in] activation Activation function to test. + * @param[in] data_type Data type. + * @param[in] fixed_point_position Number of bits for the fractional part. Defaults to 1. + * + * @return A pair containing the lower upper testing bounds for a given function. + */ +template <typename T> +std::pair<T, T> get_activation_layer_test_bounds(ActivationLayerInfo::ActivationFunction activation, DataType data_type, int fixed_point_position = 0) +{ + std::pair<T, T> bounds; + + switch(data_type) + { + case DataType::F16: + { + using namespace half_float::literal; + + switch(activation) + { + case ActivationLayerInfo::ActivationFunction::SQUARE: + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + // Reduce range as exponent overflows + bounds = std::make_pair(-10._h, 10._h); + break; + case ActivationLayerInfo::ActivationFunction::SQRT: + // Reduce range as sqrt should take a non-negative number + bounds = std::make_pair(0._h, 255._h); + break; + default: + bounds = std::make_pair(-255._h, 255._h); + break; + } + break; + } + case DataType::F32: + switch(activation) + { + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + // Reduce range as exponent overflows + bounds = std::make_pair(-40.f, 40.f); + break; + case ActivationLayerInfo::ActivationFunction::SQRT: + // Reduce range as sqrt should take a non-negative number + bounds = std::make_pair(0.f, 255.f); + break; + default: + bounds = std::make_pair(-255.f, 255.f); + break; + } + break; + case DataType::QS8: + case DataType::QS16: + switch(activation) + { + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + case ActivationLayerInfo::ActivationFunction::TANH: + // Reduce range as exponent overflows + bounds = std::make_pair(-(1 << fixed_point_position), 1 << fixed_point_position); + break; + case ActivationLayerInfo::ActivationFunction::SQRT: + // Reduce range as sqrt should take a non-negative number + // Can't be zero either as inv_sqrt is used in NEON. + bounds = std::make_pair(1, std::numeric_limits<T>::max()); + break; + default: + bounds = std::make_pair(std::numeric_limits<T>::lowest(), std::numeric_limits<T>::max()); + break; + } + break; + default: + ARM_COMPUTE_ERROR("Unsupported data type"); + } + + return bounds; +} } // namespace validation } // namespace test } // namespace arm_compute diff --git a/tests/validation_new/NEON/ActivationLayer.cpp b/tests/validation_new/NEON/ActivationLayer.cpp new file mode 100644 index 0000000000..db0faaecdf --- /dev/null +++ b/tests/validation_new/NEON/ActivationLayer.cpp @@ -0,0 +1,230 @@ +/* + * 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/NEActivationLayer.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/ActivationFunctionsDataset.h" +#include "tests/datasets_new/ShapeDatasets.h" +#include "tests/validation_new/Validation.h" +#include "tests/validation_new/fixtures/ActivationLayerFixture.h" +#include "tests/validation_new/half.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +/** Define tolerance of the activation layer. + * + * @param[in] data_type The data type used. + * @param[in] activation The activation function used. + * + * @return Tolerance depending on the activation function. + */ +float tolerance(DataType data_type, ActivationLayerInfo::ActivationFunction activation) +{ + switch(activation) + { + case ActivationLayerInfo::ActivationFunction::LOGISTIC: + case ActivationLayerInfo::ActivationFunction::SOFT_RELU: + case ActivationLayerInfo::ActivationFunction::SQRT: + case ActivationLayerInfo::ActivationFunction::TANH: + switch(data_type) + { + case DataType::QS8: + return 5.f; + case DataType::QS16: + return 11.f; + case DataType::F16: + return 0.01f; + default: + return 0.00001f; + } + break; + default: + return 0.f; + } +} + +/** 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, +}); + +/** Input data sets. */ +const auto ActivationDataset = combine(combine(framework::dataset::make("InPlace", { false, true }), datasets::ActivationFunctions()), framework::dataset::make("AlphaBeta", { 0.5f, 1.f })); +} // namespace + +TEST_SUITE(NEON) +TEST_SUITE(ActivationLayer) + +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), CNNDataTypes), framework::dataset::make("InPlace", { false, true })), + shape, data_type, in_place) +{ + // 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 + NEActivationLayer act_layer; + + if(in_place) + { + act_layer.configure(&src, nullptr, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS)); + } + else + { + act_layer.configure(&src, &dst, ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::ABS)); + } + + // Validate valid region + const ValidRegion valid_region = shape_to_valid_region(shape); + validate(src.info()->valid_region(), valid_region); + + if(!in_place) + { + validate(dst.info()->valid_region(), valid_region); + } + + // Validate padding + const PaddingSize padding = PaddingCalculator(shape.x(), 16).required_padding(); + validate(src.info()->padding(), padding); + + if(!in_place) + { + validate(dst.info()->padding(), padding); + } +} + +template <typename T> +using NEActivationLayerFixture = ActivationValidationFixture<Tensor, Accessor, NEActivationLayer, T>; + +TEST_SUITE(Float) +#ifdef ARM_COMPUTE_ENABLE_FP16 +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerFixture<half_float::half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), + framework::dataset::make("DataType", + DataType::F16))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance(_data_type, _function)); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), + framework::dataset::make("DataType", + DataType::F16))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance(_data_type, _function)); +} +TEST_SUITE_END() +#endif /* ARM_COMPUTE_ENABLE_FP16 */ + +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), ActivationDataset), framework::dataset::make("DataType", + DataType::F32))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance(_data_type, _function)); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), ActivationDataset), framework::dataset::make("DataType", + DataType::F32))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance(_data_type, _function)); +} +TEST_SUITE_END() +TEST_SUITE_END() + +template <typename T> +using NEActivationLayerFixedPointFixture = ActivationValidationFixedPointFixture<Tensor, Accessor, NEActivationLayer, T>; + +TEST_SUITE(Quantized) +TEST_SUITE(QS8) +// We test for fixed point precision [3,5] because [1,2] and [6,7] ranges cause +// overflowing issues in most of the transcendentals functions. +FIXTURE_DATA_TEST_CASE(RunSmall, NEActivationLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), ActivationDataset), + framework::dataset::make("DataType", + DataType::QS8)), + framework::dataset::make("FractionalBits", 3, 6))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance(_data_type, _function)); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), ActivationDataset), + framework::dataset::make("DataType", + DataType::QS8)), + framework::dataset::make("FractionalBits", 3, 6))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance(_data_type, _function)); +} +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, NEActivationLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), ActivationDataset), + framework::dataset::make("DataType", + DataType::QS16)), + framework::dataset::make("FractionalBits", 1, 14))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance(_data_type, _function)); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEActivationLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), ActivationDataset), + framework::dataset::make("DataType", + DataType::QS16)), + framework::dataset::make("FractionalBits", 1, 14))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance(_data_type, _function)); +} +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/ActivationLayerFixture.h b/tests/validation_new/fixtures/ActivationLayerFixture.h new file mode 100644 index 0000000000..bf0e7ba6ea --- /dev/null +++ b/tests/validation_new/fixtures/ActivationLayerFixture.h @@ -0,0 +1,157 @@ +/* + * 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_ACTIVATION_LAYER_FIXTURE +#define ARM_COMPUTE_TEST_ACTIVATION_LAYER_FIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.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/ActivationLayer.h" +#include "tests/validation_new/Helpers.h" + +#include <random> + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ActivationValidationFixedPointFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, DataType data_type, int fractional_bits) + { + _fractional_bits = fractional_bits; + _data_type = data_type; + _function = function; + + ActivationLayerInfo info(function, alpha_beta, alpha_beta); + + _target = compute_target(shape, in_place, info, data_type, fractional_bits); + _reference = compute_reference(shape, info, data_type, fractional_bits); + } + +protected: + template <typename U> + void fill(U &&tensor) + { + if(is_data_type_float(_data_type)) + { + float min_bound = 0; + float max_bound = 0; + std::tie(min_bound, max_bound) = get_activation_layer_test_bounds<T>(_function, _data_type); + std::uniform_real_distribution<> distribution(min_bound, max_bound); + library->fill(tensor, distribution, 0); + } + else + { + int min_bound = 0; + int max_bound = 0; + std::tie(min_bound, max_bound) = get_activation_layer_test_bounds<T>(_function, _data_type, _fractional_bits); + std::uniform_int_distribution<> distribution(min_bound, max_bound); + library->fill(tensor, distribution, 0); + } + } + + TensorType compute_target(const TensorShape &shape, bool in_place, ActivationLayerInfo info, 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 act_layer; + + TensorType *dst_ptr = in_place ? &src : &dst; + + act_layer.configure(&src, dst_ptr, info); + + 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(); + ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); + + if(!in_place) + { + dst.allocator()->allocate(); + ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + } + + // Fill tensors + fill(AccessorType(src)); + + // Compute function + act_layer.run(); + + if(in_place) + { + return src; + } + else + { + return dst; + } + } + + SimpleTensor<T> compute_reference(const TensorShape &shape, ActivationLayerInfo info, 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::activation_layer<T>(src, info); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; + int _fractional_bits{}; + DataType _data_type{}; + ActivationLayerInfo::ActivationFunction _function{}; +}; + +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class ActivationValidationFixture : public ActivationValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T> +{ +public: + template <typename...> + void setup(TensorShape shape, bool in_place, ActivationLayerInfo::ActivationFunction function, float alpha_beta, DataType data_type) + { + ActivationValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>::setup(shape, in_place, function, alpha_beta, data_type, 0); + } +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_ACTIVATION_LAYER_FIXTURE */ |