From 04a8f8c4994f1c32b3f16a832c0e6f2599364c02 Mon Sep 17 00:00:00 2001 From: Giorgio Arena Date: Thu, 23 Nov 2017 11:45:24 +0000 Subject: COMPMID-692 Consistent names for the interfaces Change-Id: I4b1f3f0da9ff5342c7de7083736fe91871d14e5b Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110351 Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com Reviewed-by: Georgios Pinitas Reviewed-by: Anthony Barbier --- .../validation/NEON/DepthwiseConvolutionLayer.cpp | 131 +++++++++++++++++++++ 1 file changed, 131 insertions(+) create mode 100644 tests/validation/NEON/DepthwiseConvolutionLayer.cpp (limited to 'tests/validation/NEON/DepthwiseConvolutionLayer.cpp') diff --git a/tests/validation/NEON/DepthwiseConvolutionLayer.cpp b/tests/validation/NEON/DepthwiseConvolutionLayer.cpp new file mode 100644 index 0000000000..17eaaf8ad7 --- /dev/null +++ b/tests/validation/NEON/DepthwiseConvolutionLayer.cpp @@ -0,0 +1,131 @@ +/* + * 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 CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + * SOFTWARE. + */ +#include "arm_compute/core/Types.h" +#include "arm_compute/runtime/NEON/functions/NEDepthwiseConvolutionLayer.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/DepthwiseConvolutionLayerDataset.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/DepthwiseConvolutionLayerFixture.h" + +namespace arm_compute +{ +namespace test +{ +namespace validation +{ +namespace +{ +constexpr RelativeTolerance tolerance_f32(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ +} // namespace + +TEST_SUITE(NEON) +TEST_SUITE(DepthwiseConvolutionLayer) + +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), + datasets::LargeDepthwiseConvolutionLayerDataset3x3()), + framework::dataset::make("DataType", DataType::F32)), + input_shape, weights_shape, bias_shape, output_shape, info, data_type) +{ + // Create tensors + Tensor src = create_tensor(input_shape, data_type); + Tensor dst = create_tensor(output_shape, data_type); + Tensor weights = create_tensor(weights_shape, data_type); + Tensor bias = create_tensor(bias_shape, data_type); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Create and configure function + NEDepthwiseConvolutionLayer3x3 depthwise_layer; + depthwise_layer.configure(&src, &weights, &bias, &dst, info); + + // Validate valid region + const ValidRegion input_valid_region = shape_to_valid_region(input_shape); + const ValidRegion output_valid_region = shape_to_valid_region(output_shape); + const ValidRegion weights_valid_region = shape_to_valid_region(weights_shape); + const ValidRegion bias_valid_region = shape_to_valid_region(bias_shape); + + validate(src.info()->valid_region(), input_valid_region); + validate(dst.info()->valid_region(), output_valid_region); + validate(weights.info()->valid_region(), weights_valid_region); + validate(bias.info()->valid_region(), bias_valid_region); + + // Validate padding + const int step = 16 >> info.stride().first; + const PaddingSize padding = PaddingCalculator(output_shape.x(), step).required_padding(); + validate(dst.info()->padding(), padding); +} + +TEST_SUITE(Float) +TEST_SUITE(F32) +TEST_SUITE(Generic) +template +using NEDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture; +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallDepthwiseConvolutionLayerDataset(), + framework::dataset::make("DataType", + DataType::F32))) +{ + validate(Accessor(_target), _reference, tolerance_f32); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, combine(datasets::LargeDepthwiseConvolutionLayerDataset(), + framework::dataset::make("DataType", + DataType::F32))) +{ + validate(Accessor(_target), _reference, tolerance_f32); +} +TEST_SUITE_END() + +TEST_SUITE(W3x3) +template +using NEDepthwiseConvolutionLayerFixture3x3 = DepthwiseConvolutionLayerValidationFixture; +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerFixture3x3, framework::DatasetMode::ALL, combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(), + framework::dataset::make("DataType", + DataType::F32))) +{ + validate(Accessor(_target), _reference, tolerance_f32); +} +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerFixture3x3, framework::DatasetMode::NIGHTLY, combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(), + framework::dataset::make("DataType", + DataType::F32))) +{ + validate(Accessor(_target), _reference, tolerance_f32); +} +TEST_SUITE_END() + +TEST_SUITE_END() +TEST_SUITE_END() + +TEST_SUITE_END() +TEST_SUITE_END() +} // namespace validation +} // namespace test +} // namespace arm_compute -- cgit v1.2.1