diff options
Diffstat (limited to 'tests/validation')
4 files changed, 427 insertions, 0 deletions
diff --git a/tests/validation/NEON/InstanceNormalizationLayer.cpp b/tests/validation/NEON/InstanceNormalizationLayer.cpp new file mode 100644 index 0000000000..8356613368 --- /dev/null +++ b/tests/validation/NEON/InstanceNormalizationLayer.cpp @@ -0,0 +1,140 @@ +/* + * 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/NEInstanceNormalizationLayer.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/InstanceNormalizationLayerFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +/** Tolerance for float operations */ +AbsoluteTolerance<float> tolerance_f32(0.001f); +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +AbsoluteTolerance<float> tolerance_f16(0.2f); +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +} // namespace + +TEST_SUITE(NEON) +TEST_SUITE(InstanceNormalizationLayer) + +// *INDENT-OFF* +// clang-format off +DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip( + framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching data type input/output + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching shape input/output + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 2, DataType::F32), // Number of Input channels != 1 + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), // DataType != F32 + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32) + }), + framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F16), + TensorInfo(TensorShape(256U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), + TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32) + })), + framework::dataset::make("Expected", { false, false, false, false, true, true, true, true })), + input_info, output_info, expected) +{ + bool is_valid = bool(NEInstanceNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false), + &output_info.clone()->set_is_resizable(false) + )); + ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); +} +// clang-format on +// *INDENT-ON* + +template <typename T> +using NEInstanceNormalizationLayerFixture = InstanceNormalizationLayerValidationFixture<Tensor, Accessor, NEInstanceNormalizationLayer, T>; + +TEST_SUITE(FP32) +FIXTURE_DATA_TEST_CASE(RunSmall, NEInstanceNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(datasets::Small4DShapes(), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + framework::dataset::make("InPlace", { false, true }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f32); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEInstanceNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(datasets::Large4DShapes(), + framework::dataset::make("DataType", DataType::F32)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + framework::dataset::make("InPlace", { false, true }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f32); +} +TEST_SUITE_END() // FP32 + +#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(RunSmall, NEInstanceNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, + combine(combine(combine(datasets::SmallShapes(), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + framework::dataset::make("InPlace", { false, true }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f16); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEInstanceNormalizationLayerFixture<half>, framework::DatasetMode::NIGHTLY, + combine(combine(combine(datasets::LargeShapes(), + framework::dataset::make("DataType", DataType::F16)), + framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), + framework::dataset::make("InPlace", { false, true }))) +{ + // Validate output + validate(Accessor(_target), _reference, tolerance_f16); +} +TEST_SUITE_END() // FP16 +#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC + +TEST_SUITE_END() // InstanceNormalizationLayer +TEST_SUITE_END() // NEON +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/fixtures/InstanceNormalizationLayerFixture.h b/tests/validation/fixtures/InstanceNormalizationLayerFixture.h new file mode 100644 index 0000000000..175ef2fb90 --- /dev/null +++ b/tests/validation/fixtures/InstanceNormalizationLayerFixture.h @@ -0,0 +1,147 @@ +/* + * 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. + */ +#ifndef ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE +#define ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE + +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/Tensor.h" +#include "tests/AssetsLibrary.h" +#include "tests/Globals.h" +#include "tests/IAccessor.h" +#include "tests/framework/Asserts.h" +#include "tests/framework/Fixture.h" +#include "tests/validation/reference/InstanceNormalizationLayer.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class InstanceNormalizationLayerValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place) + { + _target = compute_target(shape, data_type, data_layout, in_place); + _reference = compute_reference(shape, data_type, data_layout); + } + +protected: + template <typename U> + void fill(U &&tensor) + { + std::uniform_real_distribution<> distribution(1.f, 2.f); + library->fill(tensor, distribution, 0); + } + + TensorType compute_target(TensorShape shape, DataType data_type, DataLayout data_layout, bool in_place) + { + if(data_layout == DataLayout::NHWC) + { + permute(shape, PermutationVector(2U, 0U, 1U)); + } + + std::mt19937 gen(library->seed()); + std::uniform_real_distribution<float> dist_gamma(1.f, 2.f); + std::uniform_real_distribution<float> dist_beta(-2.f, 2.f); + std::uniform_real_distribution<float> dist_epsilon(1e-16f, 1e-12f); + + const float gamma = dist_gamma(gen); + const float beta = dist_beta(gen); + const float epsilon = dist_epsilon(gen); + + // Create tensors + TensorType src = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout); + TensorType dst = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout); + + // Create and configure function + FunctionType instance_norm_func; + instance_norm_func.configure(&src, in_place ? nullptr : &dst, gamma, beta, epsilon); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + if(!in_place) + { + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + } + + // Allocate tensors + src.allocator()->allocate(); + if(!in_place) + { + dst.allocator()->allocate(); + } + + ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); + if(!in_place) + { + ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + } + + // Fill tensors + fill(AccessorType(src)); + + // Compute function + instance_norm_func.run(); + + if(in_place) + { + return src; + } + else + { + return dst; + } + } + + SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, DataLayout data_layout) + { + std::mt19937 gen(library->seed()); + std::uniform_real_distribution<float> dist_gamma(1.f, 2.f); + std::uniform_real_distribution<float> dist_beta(-2.f, 2.f); + std::uniform_real_distribution<float> dist_epsilon(1e-16f, 1e-12f); + + const float gamma = dist_gamma(gen); + const float beta = dist_beta(gen); + const float epsilon = dist_epsilon(gen); + + // Create reference + SimpleTensor<T> src{ shape, data_type }; + + // Fill reference + fill(src); + + return reference::instance_normalization<T>(src, gamma, beta, epsilon); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_INSTANCENORMALIZATION_FIXTURE */ diff --git a/tests/validation/reference/InstanceNormalizationLayer.cpp b/tests/validation/reference/InstanceNormalizationLayer.cpp new file mode 100644 index 0000000000..0e5c02aa99 --- /dev/null +++ b/tests/validation/reference/InstanceNormalizationLayer.cpp @@ -0,0 +1,96 @@ +/* + * 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 "InstanceNormalizationLayer.h" + +#include "tests/validation/Helpers.h" + +#include <algorithm> +#include <cmath> + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template <typename T> +SimpleTensor<T> instance_normalization(const SimpleTensor<T> &src, float gamma, float beta, float epsilon) +{ + SimpleTensor<T> dst{ src.shape(), src.data_type() }; + + //NCHW + const size_t w_size = src.shape()[0]; + const size_t h_size = src.shape()[1]; + const size_t c_size = src.shape()[2]; + const size_t n_size = src.shape()[3]; + + for(size_t n_i = 0; n_i < n_size; ++n_i) + { + for(size_t c_i = 0; c_i < c_size; ++c_i) + { + float sum_h_w = 0; + //Compute mean + for(size_t h_i = 0; h_i < h_size; ++h_i) + { + for(size_t w_i = 0; w_i < w_size; ++w_i) + { + sum_h_w += src[coord2index(src.shape(), Coordinates(w_i, h_i, c_i, n_i))]; + } + } + const float mean_h_w = sum_h_w / (h_size * w_size); + + //Compute variance + float partial_var_h_w = 0; + for(size_t h_i = 0; h_i < h_size; ++h_i) + { + for(size_t w_i = 0; w_i < w_size; ++w_i) + { + partial_var_h_w += std::pow(src[coord2index(src.shape(), Coordinates(w_i, h_i, c_i, n_i))] - mean_h_w, 2); + } + } + const float var_h_w = partial_var_h_w / (h_size * w_size); + + //Apply mean + for(size_t h_i = 0; h_i < h_size; ++h_i) + { + for(size_t w_i = 0; w_i < w_size; ++w_i) + { + //Compute output + size_t index = coord2index(src.shape(), Coordinates(w_i, h_i, c_i, n_i)); + dst[index] = (src[index] - mean_h_w) * gamma / std::sqrt(var_h_w + epsilon) + beta; + } + } + } + } + return dst; +} + +template SimpleTensor<float> instance_normalization(const SimpleTensor<float> &src, float gamma, float beta, float epsilon); +template SimpleTensor<half> instance_normalization(const SimpleTensor<half> &src, float gamma, float beta, float epsilon); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute diff --git a/tests/validation/reference/InstanceNormalizationLayer.h b/tests/validation/reference/InstanceNormalizationLayer.h new file mode 100644 index 0000000000..2926e09f1b --- /dev/null +++ b/tests/validation/reference/InstanceNormalizationLayer.h @@ -0,0 +1,44 @@ +/* + * 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. + */ +#ifndef __ARM_COMPUTE_TEST_INSTANCENORMALIZATION_H__ +#define __ARM_COMPUTE_TEST_INSTANCENORMALIZATION_H__ + +#include "tests/SimpleTensor.h" +#include "tests/validation/Helpers.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace reference +{ +template <typename T> +SimpleTensor<T> instance_normalization(const SimpleTensor<T> &src, float gamma, float beta, float epsilon); +} // namespace reference +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* __ARM_COMPUTE_TEST_INSTANCENORMALIZATION_H__ */ |