| /* |
| * Copyright (c) 2017-2018 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/NEConvolution.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/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/ConvolutionFixture.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| /** Tolerance value for comparing reference's output against implementation |
| * |
| * This is due to the fact that NEON target performs multiplication with reciprocal of scale, |
| * while reference performs direct division with scale. |
| */ |
| constexpr AbsoluteTolerance<uint8_t> tolerance_u8(1); |
| constexpr AbsoluteTolerance<int16_t> tolerance_s16(1); |
| } // namespace |
| |
| TEST_SUITE(NEON) |
| TEST_SUITE(CustomConvolution) |
| TEST_SUITE(CustomConvolutionSquare) |
| TEST_SUITE(CustomConvolutionSquare3x3) |
| |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 3 })), |
| shape, output_data_type, border_mode, filter_size) |
| { |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, DataType::U8); |
| Tensor dst = create_tensor<Tensor>(shape, output_data_type); |
| |
| // Create conv matrix |
| int16_t conv[9]; |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Create and configure function |
| NEConvolution3x3 convolution; |
| convolution.configure(&src, &dst, conv, 0, border_mode); |
| |
| // Validate valid region |
| const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2)); |
| validate(dst.info()->valid_region(), dst_valid_region); |
| |
| // Validate padding |
| PaddingCalculator calculator(shape.x(), 8); |
| calculator.set_border_size(1); |
| calculator.set_border_mode(border_mode); |
| |
| const PaddingSize dst_padding = calculator.required_padding(); |
| |
| calculator.set_accessed_elements(16); |
| calculator.set_access_offset(-1); |
| |
| const PaddingSize src_padding = calculator.required_padding(); |
| |
| validate(src.info()->padding(), src_padding); |
| validate(dst.info()->padding(), dst_padding); |
| } |
| |
| template <typename T> |
| using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution3x3, T>; |
| |
| TEST_SUITE(CustomConvolutionSquare3x3_U8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 3 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 3 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(CustomConvolutionSquare3x3_S16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 3 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 3 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() /* Custom Convolution3x3 */ |
| |
| TEST_SUITE(CustomConvolutionSquare5x5) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 5 })), |
| shape, output_data_type, border_mode, filter_size) |
| { |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, DataType::U8); |
| Tensor dst = create_tensor<Tensor>(shape, output_data_type); |
| |
| // Create conv matrix |
| int16_t conv[25]; |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Create and configure function |
| NEConvolution5x5 convolution; |
| convolution.configure(&src, &dst, conv, 0, border_mode); |
| |
| // Validate valid region |
| const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2)); |
| validate(dst.info()->valid_region(), dst_valid_region); |
| |
| // Validate padding |
| PaddingCalculator calculator(shape.x(), 8); |
| calculator.set_border_size(2); |
| calculator.set_border_mode(border_mode); |
| |
| const PaddingSize dst_padding = calculator.required_padding(); |
| |
| calculator.set_accessed_elements(16); |
| calculator.set_access_offset(-2); |
| |
| const PaddingSize src_padding = calculator.required_padding(); |
| |
| validate(src.info()->padding(), src_padding); |
| validate(dst.info()->padding(), dst_padding); |
| } |
| |
| template <typename T> |
| using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution5x5, T>; |
| |
| TEST_SUITE(CustomConvolutionSquare5x5_U8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 5 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 5 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(CustomConvolutionSquare5x5_S16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 5 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 5 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() /* Custom Convolution 5x5 */ |
| |
| TEST_SUITE(CustomConvolutionSquare7x7) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 7 })), |
| shape, output_data_type, border_mode, filter_size) |
| { |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, DataType::U8); |
| Tensor dst = create_tensor<Tensor>(shape, output_data_type); |
| |
| // Create conv matrix |
| int16_t conv[49]; |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Create and configure function |
| NEConvolution7x7 convolution; |
| convolution.configure(&src, &dst, conv, 0, border_mode); |
| |
| // Validate valid region |
| const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2)); |
| validate(dst.info()->valid_region(), dst_valid_region); |
| |
| // Validate padding |
| PaddingCalculator calculator(shape.x(), 8); |
| calculator.set_border_size(3); |
| calculator.set_border_mode(border_mode); |
| |
| const PaddingSize dst_padding = calculator.required_padding(); |
| |
| calculator.set_accessed_elements(16); |
| calculator.set_access_offset(-3); |
| |
| const PaddingSize src_padding = calculator.required_padding(); |
| |
| validate(src.info()->padding(), src_padding); |
| validate(dst.info()->padding(), dst_padding); |
| } |
| |
| template <typename T> |
| using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution7x7, T>; |
| |
| TEST_SUITE(CustomConvolutionSquare7x7_U8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 7 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 7 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(CustomConvolutionSquare7x7_S16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 7 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 7 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() /* Custom Convolution 7x7 */ |
| |
| TEST_SUITE(CustomConvolutionSquare9x9) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 9 })), |
| shape, output_data_type, border_mode, filter_size) |
| { |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, DataType::U8); |
| Tensor dst = create_tensor<Tensor>(shape, output_data_type); |
| |
| // Create conv matrix |
| int16_t conv[81]; |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Create and configure function |
| NEConvolution9x9 convolution; |
| convolution.configure(&src, &dst, conv, 0, border_mode); |
| |
| // Validate valid region |
| const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2)); |
| validate(dst.info()->valid_region(), dst_valid_region); |
| |
| // Validate padding |
| PaddingCalculator calculator(shape.x(), 8); |
| calculator.set_border_size(4); |
| calculator.set_border_mode(border_mode); |
| |
| const PaddingSize dst_padding = calculator.required_padding(); |
| |
| calculator.set_accessed_elements(16); |
| calculator.set_access_offset(-4); |
| |
| const PaddingSize src_padding = calculator.required_padding(); |
| |
| validate(src.info()->padding(), src_padding); |
| validate(dst.info()->padding(), dst_padding); |
| } |
| |
| template <typename T> |
| using NEConvolutionFixture = ConvolutionSquareValidationFixture<Tensor, Accessor, NEConvolution9x9, T>; |
| |
| TEST_SUITE(CustomConvolutionSquare9x9_U8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 9 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 9 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(CustomConvolutionSquare9x9_S16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 9 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 9 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() /* Custom Convolution 9x9 */ |
| TEST_SUITE_END() /* Custom Convolution Square */ |
| |
| TEST_SUITE(CustomConvolutionRectangle) |
| DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", |
| { DataType::U8, DataType::S16 })), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_width", { 3, 5, 7, 9 })), |
| framework::dataset::make("filter_height", { 3, 5, 7, 9 })), |
| shape, output_data_type, border_mode, filter_width, filter_height) |
| { |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, DataType::U8); |
| Tensor dst = create_tensor<Tensor>(shape, output_data_type); |
| |
| // Create conv matrix |
| int16_t conv[filter_width * filter_height]; |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Create and configure function |
| NEConvolutionRectangle convolution; |
| convolution.configure(&src, &dst, conv, filter_width, filter_height, 1, border_mode); |
| |
| // Validate valid region |
| const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_height / 2, filter_width / 2)); |
| validate(dst.info()->valid_region(), dst_valid_region); |
| |
| // Validate padding |
| PaddingCalculator calculator(shape.x(), 8); |
| calculator.set_border_size(filter_width / 2); |
| calculator.set_border_mode(border_mode); |
| |
| const PaddingSize dst_padding = calculator.required_padding(); |
| |
| calculator.set_accessed_elements(16); |
| calculator.set_access_offset(-(filter_width / 2)); |
| |
| const PaddingSize width_padding = calculator.required_padding(); |
| |
| calculator.set_border_size(filter_height / 2); |
| calculator.set_access_offset(-(filter_height / 2)); |
| const PaddingSize height_padding = calculator.required_padding(); |
| |
| validate(src.info()->padding(), width_padding, height_padding); |
| validate(dst.info()->padding(), dst_padding); |
| } |
| |
| template <typename T> |
| using NEConvolutionFixture = ConvolutionRectangleValidationFixture<Tensor, Accessor, NEConvolutionRectangle, T>; |
| |
| TEST_SUITE(CustomConvolutionRectangle_U8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_width", { 3, 5, 7, 9 })), |
| framework::dataset::make("filter_height", { 3, 5, 7, 9 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_width", { 3, 5, 7, 9 })), |
| framework::dataset::make("filter_height", { 3, 5, 7, 9 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(CustomConvolutionRectangle_S16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_width", { 3, 5, 7, 9 })), |
| framework::dataset::make("filter_height", { 3, 5, 7, 9 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_width", { 3, 5, 7, 9 })), |
| framework::dataset::make("filter_height", { 3, 5, 7, 9 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() /* Custom Convolution Rectangle */ |
| |
| TEST_SUITE(CustomConvolutionSeparable) |
| TEST_SUITE(CustomConvolutionSeparable5x5) |
| template <typename T> |
| using NEConvolutionFixture = ConvolutionSeparableValidationFixture<Tensor, Accessor, NEConvolution5x5, T>; |
| |
| TEST_SUITE(CustomConvolutionSeparable5x5_U8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 5 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 5 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(CustomConvolutionSeparable5x5_S16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 5 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 5 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() /* Custom Convolution Separable 5x5 */ |
| |
| TEST_SUITE(CustomConvolutionSeparable7x7) |
| template <typename T> |
| using NEConvolutionFixture = ConvolutionSeparableValidationFixture<Tensor, Accessor, NEConvolution7x7, T>; |
| |
| TEST_SUITE(CustomConvolutionSeparable7x7_U8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 7 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 7 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(CustomConvolutionSeparablex7x7_S16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 7 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 7 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() /* Custom Convolution Separable 7x7 */ |
| |
| TEST_SUITE(CustomConvolutionSeparable9x9) |
| template <typename T> |
| using NEConvolutionFixture = ConvolutionSeparableValidationFixture<Tensor, Accessor, NEConvolution9x9, T>; |
| |
| TEST_SUITE(CustomConvolutionSeparable9x9_U8) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 9 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::U8)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 9 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_u8); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(CustomConvolutionSeparable9x9_S16) |
| FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 9 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| |
| FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", |
| DataType::S16)), |
| datasets::BorderModes()), |
| framework::dataset::make("filter_size", { 9 }))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)), tolerance_s16); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() /* Custom Convolution Separable 9x9 */ |
| TEST_SUITE_END() /* Custom Convolution Separable */ |
| TEST_SUITE_END() /* Custom Convolution */ |
| TEST_SUITE_END() |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |