| /* |
| * 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/NEDirectConvolutionLayer.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/DirectConvolutionLayerFixture.h" |
| #include "tests/validation/half.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| namespace |
| { |
| constexpr AbsoluteTolerance<float> tolerance_qs(1.f); /**< Tolerance for fixed point tests */ |
| #ifdef ARM_COMPUTE_ENABLE_FP16 |
| constexpr AbsoluteTolerance<float> tolerance_fp16(0.01f); /**< Tolerance for half precision floating point tests */ |
| #endif /* ARM_COMPUTE_ENABLE_FP16 */ |
| constexpr AbsoluteTolerance<float> tolerance_fp32(0.001f); /**< Tolerance for floating point tests */ |
| |
| /** Direct convolution data set. */ |
| const auto data_pad_f32 = concat(concat(combine(framework::dataset::make("PadX", 0), |
| combine(framework::dataset::make("PadY", 0), |
| framework::dataset::make("KernelSize", 1))), |
| combine(framework::dataset::make("PadX", 0, 2), |
| combine(framework::dataset::make("PadY", 0, 2), |
| framework::dataset::make("KernelSize", 3)))), |
| combine(framework::dataset::make("PadX", 0, 3), |
| combine(framework::dataset::make("PadY", 0, 3), |
| framework::dataset::make("KernelSize", 5)))); |
| |
| const auto data_pad_qs8 = concat(combine(framework::dataset::make("PadX", 0), |
| combine(framework::dataset::make("PadY", 0), |
| framework::dataset::make("KernelSize", 1))), |
| combine(framework::dataset::make("PadX", 0, 2), |
| combine(framework::dataset::make("PadY", 0, 2), |
| framework::dataset::make("KernelSize", 3)))); |
| |
| const auto data_f32 = combine(datasets::SmallDirectConvolutionShapes(), |
| combine(framework::dataset::make("StrideX", 1, 3), |
| combine(framework::dataset::make("StrideY", 1, 3), |
| combine(data_pad_f32, |
| framework::dataset::make("NumKernels", { 1, 4, 8, 16 }))))); |
| |
| const auto data_qs8 = combine(datasets::SmallDirectConvolutionShapes(), |
| combine(framework::dataset::make("StrideX", 1, 3), |
| combine(framework::dataset::make("StrideY", 1, 3), |
| combine(data_pad_qs8, |
| framework::dataset::make("NumKernels", { 1, 4, 8, 16 }))))); |
| |
| /** Direct convolution QS16 data set. */ |
| const auto data_qs16 = combine(datasets::SmallDirectConvolutionShapes(), |
| combine(framework::dataset::make("StrideX", 1, 3), |
| combine(framework::dataset::make("StrideY", 1, 3), |
| combine(framework::dataset::make("PadX", 0), |
| combine(framework::dataset::make("PadY", 0), |
| combine(framework::dataset::make("KernelSize", 1), |
| framework::dataset::make("NumKernels", { 1, 4, 8, 16 }))))))); |
| } // namespace |
| |
| TEST_SUITE(NEON) |
| TEST_SUITE(DirectConvolutionLayer) |
| |
| //TODO(COMPMID-415): Configuration tests? |
| |
| template <typename T> |
| using NEDirectConvolutionLayerFixture = DirectConvolutionValidationFixture<Tensor, Accessor, NEDirectConvolutionLayer, T>; |
| |
| TEST_SUITE(Float) |
| #ifdef ARM_COMPUTE_ENABLE_FP16 |
| TEST_SUITE(FP16) |
| FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixture<half_float::half>, framework::DatasetMode::ALL, combine(data_f32, framework::dataset::make("DataType", DataType::F16))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_fp16); |
| } |
| TEST_SUITE_END() |
| #endif /* ARM_COMPUTE_ENABLE_FP16 */ |
| |
| TEST_SUITE(FP32) |
| FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(data_f32, framework::dataset::make("DataType", DataType::F32))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_fp32); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| template <typename T> |
| using NEDirectConvolutionLayerFixedPointFixture = DirectConvolutionValidationFixedPointFixture<Tensor, Accessor, NEDirectConvolutionLayer, T>; |
| |
| TEST_SUITE(Quantized) |
| TEST_SUITE(QS8) |
| // We test for fixed point precision [4,6] |
| FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(data_qs8, framework::dataset::make("DataType", DataType::QS8)), |
| framework::dataset::make("FractionalBits", 4, 7))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_qs); |
| } |
| TEST_SUITE_END() |
| |
| TEST_SUITE(QS16) |
| // We test for fixed point precision [4,13] |
| FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::ALL, combine(combine(data_qs16, framework::dataset::make("DataType", DataType::QS16)), |
| framework::dataset::make("FractionalBits", 4, 14))) |
| { |
| // Validate output |
| validate(Accessor(_target), _reference, tolerance_qs); |
| } |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| |
| TEST_SUITE_END() |
| TEST_SUITE_END() |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |