From a09de0c8b2ed0f1481502d3b023375609362d9e3 Mon Sep 17 00:00:00 2001 From: Moritz Pflanzer Date: Fri, 1 Sep 2017 20:41:12 +0100 Subject: COMPMID-415: Rename and move tests The boost validation is now "standalone" in validation_old and builds as arm_compute_validation_old. The new validation builds now as arm_compute_validation. Change-Id: Ib93ba848a25680ac60afb92b461d574a0757150d Reviewed-on: http://mpd-gerrit.cambridge.arm.com/86187 Tested-by: Kaizen Reviewed-by: Anthony Barbier --- tests/validation/NEON/DirectConvolutionLayer.cpp | 149 +++++++++++++++++++++++ 1 file changed, 149 insertions(+) create mode 100644 tests/validation/NEON/DirectConvolutionLayer.cpp (limited to 'tests/validation/NEON/DirectConvolutionLayer.cpp') diff --git a/tests/validation/NEON/DirectConvolutionLayer.cpp b/tests/validation/NEON/DirectConvolutionLayer.cpp new file mode 100644 index 0000000000..6211d31c45 --- /dev/null +++ b/tests/validation/NEON/DirectConvolutionLayer.cpp @@ -0,0 +1,149 @@ +/* + * 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 tolerance_qs(1.f); /**< Tolerance for fixed point tests */ +#ifdef ARM_COMPUTE_ENABLE_FP16 +constexpr AbsoluteTolerance tolerance_fp16(0.01f); /**< Tolerance for half precision floating point tests */ +#endif /* ARM_COMPUTE_ENABLE_FP16 */ +constexpr AbsoluteTolerance 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 +using NEDirectConvolutionLayerFixture = DirectConvolutionValidationFixture; + +TEST_SUITE(Float) +#ifdef ARM_COMPUTE_ENABLE_FP16 +TEST_SUITE(FP16) +FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixture, 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, 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 +using NEDirectConvolutionLayerFixedPointFixture = DirectConvolutionValidationFixedPointFixture; + +TEST_SUITE(Quantized) +TEST_SUITE(QS8) +// We test for fixed point precision [4,6] +FIXTURE_DATA_TEST_CASE(Run, NEDirectConvolutionLayerFixedPointFixture, 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, 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 -- cgit v1.2.1