/* * Copyright (c) 2017-2019 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/Helpers.h" #include "arm_compute/core/Types.h" #include "arm_compute/runtime/NEON/functions/NEScale.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/BorderModeDataset.h" #include "tests/datasets/InterpolationPolicyDataset.h" #include "tests/datasets/SamplingPolicyDataset.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/Helpers.h" #include "tests/validation/Validation.h" #include "tests/validation/fixtures/ScaleFixture.h" namespace arm_compute { namespace test { namespace validation { namespace { /** Scale data types */ const auto ScaleDataTypes = framework::dataset::make("DataType", { DataType::U8, DataType::S16, DataType::F32, }); /** Scale data types */ const auto ScaleDataLayouts = framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC, }); /** Tolerance */ constexpr AbsoluteTolerance tolerance_u8(1); constexpr AbsoluteTolerance tolerance_s16(1); RelativeTolerance tolerance_f32(0.01); #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC RelativeTolerance tolerance_f16(half(0.1)); #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ constexpr float tolerance_num_s16 = 0.01f; constexpr float tolerance_num_f32 = 0.01f; } // namespace TEST_SUITE(NEON) TEST_SUITE(Scale) // *INDENT-OFF* // clang-format off DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip( framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::U8), // Mismatching data type TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), // Invalid policy TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), // Insufficient padding TensorInfo(TensorShape(4U, 27U, 13U), 1, DataType::F32), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32), TensorInfo(TensorShape(132U, 25U, 2U), 1, DataType::F32), TensorInfo(TensorShape(4U, 132U, 25U), 1, DataType::F32), })), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::AREA, InterpolationPolicy::AREA, InterpolationPolicy::NEAREST_NEIGHBOR, })), framework::dataset::make("BorderMode", { BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::UNDEFINED, BorderMode::REPLICATE, })), framework::dataset::make("SamplingPolicy", { SamplingPolicy::CENTER, SamplingPolicy::CENTER, SamplingPolicy::CENTER, SamplingPolicy::CENTER, })), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC, DataLayout::NCHW, DataLayout::NHWC, })), framework::dataset::make("Expected", { false, false, false ,true })), input_info, output_info, policy,border_mode, sampling_policy, data_layout, expected) { const PixelValue constant_border(5); Status status = NEScale::validate(&input_info.clone()->set_is_resizable(false).set_data_layout(data_layout), &output_info.clone()->set_is_resizable(false).set_data_layout(data_layout), policy, border_mode, constant_border, sampling_policy); ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS); } // clang-format on // *INDENT-ON* DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), ScaleDataTypes), ScaleDataLayouts), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make("SamplingPolicy", { SamplingPolicy::CENTER })), shape, data_type, data_layout, policy, border_mode, sampling_policy) { std::mt19937 generator(library->seed()); std::uniform_real_distribution distribution_float(0.25, 2); const float scale_x = distribution_float(generator); const float scale_y = distribution_float(generator); uint8_t constant_border_value = 0; TensorShape src_shape = shape; if(border_mode == BorderMode::CONSTANT) { std::uniform_int_distribution distribution_u8(0, 255); constant_border_value = distribution_u8(generator); } // Get width/height indices depending on layout const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); // Change shape in case of NHWC. if(data_layout == DataLayout::NHWC) { permute(src_shape, PermutationVector(2U, 0U, 1U)); } // Calculate scaled shape TensorShape shape_scaled(src_shape); shape_scaled.set(idx_width, src_shape[idx_width] * scale_x); shape_scaled.set(idx_height, src_shape[idx_height] * scale_y); // Create tensors Tensor src = create_tensor(src_shape, data_type, 1, QuantizationInfo(), data_layout); Tensor dst = create_tensor(shape_scaled, data_type, 1, QuantizationInfo(), data_layout); ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); // Create and configure function NEScale nescale; nescale.configure(&src, &dst, policy, border_mode, constant_border_value, sampling_policy); // Validate valid region const ValidRegion dst_valid_region = calculate_valid_region_scale(*(src.info()), shape_scaled, policy, sampling_policy, (border_mode == BorderMode::UNDEFINED)); validate(dst.info()->valid_region(), dst_valid_region); // Validate padding int num_elements_processed_x = 16; if(data_layout == DataLayout::NHWC) { num_elements_processed_x = (policy == InterpolationPolicy::BILINEAR) ? 1 : 16 / src.info()->element_size(); } PaddingCalculator calculator(shape_scaled.x(), num_elements_processed_x); calculator.set_border_mode(border_mode); PaddingSize read_padding(1); if(data_layout == DataLayout::NHWC) { read_padding = calculator.required_padding(PaddingCalculator::Option::EXCLUDE_BORDER); if(border_mode != BorderMode::REPLICATE && policy == InterpolationPolicy::BILINEAR) { read_padding.top = 1; } } const PaddingSize write_padding = calculator.required_padding(PaddingCalculator::Option::EXCLUDE_BORDER); validate(src.info()->padding(), read_padding); validate(dst.info()->padding(), write_padding); } template using NEScaleFixture = ScaleValidationFixture; template using NEScaleQuantizedFixture = ScaleValidationQuantizedFixture; TEST_SUITE(Float) TEST_SUITE(FP32) FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER }))) { //Create valid region TensorInfo src_info(_shape, 1, _data_type); ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); // Validate output validate(Accessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32); } FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER }))) { //Create valid region TensorInfo src_info(_shape, 1, _data_type); ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); // Validate output validate(Accessor(_target), _reference, valid_region, tolerance_f32, tolerance_num_f32); } TEST_SUITE_END() // FP32 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC TEST_SUITE(FP16) FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER }))) { //Create valid region TensorInfo src_info(_shape, 1, _data_type); const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); // Validate output validate(Accessor(_target), _reference, valid_region, tolerance_f16); } FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER }))) { //Create valid region TensorInfo src_info(_shape, 1, _data_type); const ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); // Validate output validate(Accessor(_target), _reference, valid_region, tolerance_f16); } TEST_SUITE_END() // FP16 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ TEST_SUITE_END() // Float TEST_SUITE(Integer) TEST_SUITE(U8) FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER }))) { //Create valid region TensorInfo src_info(_shape, 1, _data_type); ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); // Validate output validate(Accessor(_target), _reference, valid_region, tolerance_u8); } FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::U8)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER }))) { //Create valid region TensorInfo src_info(_shape, 1, _data_type); ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); // Validate output validate(Accessor(_target), _reference, valid_region, tolerance_u8); } TEST_SUITE_END() // U8 TEST_SUITE(S16) FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::S16)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER }))) { //Create valid region TensorInfo src_info(_shape, 1, _data_type); ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); // Validate output validate(Accessor(_target), _reference, valid_region, tolerance_s16, tolerance_num_s16); } FIXTURE_DATA_TEST_CASE(RunLarge, NEScaleFixture, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::S16)), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER }))) { //Create valid region TensorInfo src_info(_shape, 1, _data_type); ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); // Validate output validate(Accessor(_target), _reference, valid_region, tolerance_s16, tolerance_num_s16); } TEST_SUITE_END() // S16 TEST_SUITE_END() // Integer TEST_SUITE(Quantized) TEST_SUITE(QASYMM8) FIXTURE_DATA_TEST_CASE(RunSmall, NEScaleQuantizedFixture, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, -10) })), framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })), framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })), datasets::BorderModes()), framework::dataset::make("SamplingPolicy", { SamplingPolicy::TOP_LEFT, SamplingPolicy::CENTER }))) { //Create valid region TensorInfo src_info(_shape, 1, _data_type); ValidRegion valid_region = calculate_valid_region_scale(src_info, _reference.shape(), _policy, _sampling_policy, (_border_mode == BorderMode::UNDEFINED)); // Validate output validate(Accessor(_target), _reference, valid_region, tolerance_u8); } TEST_SUITE_END() // QASYMM8 TEST_SUITE_END() // Quantized TEST_SUITE_END() // Scale TEST_SUITE_END() // NEON } // namespace validation } // namespace test } // namespace arm_compute