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Diffstat (limited to 'tests/validation/NEON/DepthwiseConvolutionNativeLayer.cpp')
| -rw-r--r-- | tests/validation/NEON/DepthwiseConvolutionNativeLayer.cpp | 209 |
1 files changed, 209 insertions, 0 deletions
diff --git a/tests/validation/NEON/DepthwiseConvolutionNativeLayer.cpp b/tests/validation/NEON/DepthwiseConvolutionNativeLayer.cpp new file mode 100644 index 0000000000..a44c2dc3c9 --- /dev/null +++ b/tests/validation/NEON/DepthwiseConvolutionNativeLayer.cpp @@ -0,0 +1,209 @@ +/* + * Copyright (c) 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/NEON/kernels/NEDepthwiseConvolutionLayerNativeKernel.h" +#include "tests/NEON/Accessor.h" +#include "tests/NEON/Helper.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 +{ +using namespace arm_compute::misc::shape_calculator; + +// Create function for NEDepthwiseConvolutionLayerKernel +using NEDepthwiseConvolutionLayerNative = NESynthetizeFunctionWithZeroConstantKernelBorder<NEDepthwiseConvolutionLayerNativeKernel>; + +// Fixture for NEDepthwiseConvolutionLayerKernel +template <typename T> +using NEDepthwiseConvolutionLayerNativeFixture = DepthwiseConvolutionLayerNativeValidationFixture<Tensor, Accessor, NEDepthwiseConvolutionLayerNative, T>; + +namespace +{ +// *INDENT-OFF* +// clang-format off +RelativeTolerance<float> rel_tolerance_f32(0.001f); +constexpr float abs_tolerance_f32(0.0001f); + +/** Width values to test - Precommit */ +const auto width_values_precommit = framework::dataset::make("width", { 17U } ); + +/** Width values to test - Nightly */ +const auto width_values_nightly = framework::dataset::make("width", { 53U, 47U } ); + +/** Height values to test - Precommit */ +const auto height_values_precommit = framework::dataset::make("height", { 19U } ); + +/** Height values to test - Nightly */ +const auto height_values_nightly = framework::dataset::make("height", { 39U, 43U } ); + +/** Channel values to test - Precommit */ +const auto channel_values_precommit = framework::dataset::make("channels", { 15U }); + +/** Channel values to test - Nightly */ +const auto channel_values_nightly = framework::dataset::make("channels", { 33U, 19U }); + +/** Batch values to test - Precommit */ +const auto batch_values_precommit = framework::dataset::make("batch", { 1U, 2U }); + +/** Batch values to test - Nightly */ +const auto batch_values_nightly = framework::dataset::make("batch", { 1U, 3U }); + +/** Kernel size values to test - All */ +const auto kernel_sz_values = framework::dataset::make("kernel_size", { Size2D(3U, 5U), Size2D(5U, 3U) }); + +/** Depth multiplier values to test - All */ +const auto depth_multiplier_values = framework::dataset::make("depth_multiplier", { 1U, 3U }); + +/** Dilation values to test - All */ +const auto dilation_values = framework::dataset::make("dilation", { Size2D(1U, 1U), Size2D(3U, 3U) }); + +/** Stride values to test - All */ +const auto stride_values = framework::dataset::make("stride", { Size2D(1U, 1U), Size2D(3U, 2U) }); + +/** Padding values to test - All */ +const auto padding_valid_values = framework::dataset::make("padding_valid", { true, false }); + +/** Data type values to test - All */ +const auto data_type_values = framework::dataset::make("data_type", { DataType::F32 }); + +/** Data layout values to test - All */ +const auto data_layout_values = framework::dataset::make("data_layout", { DataLayout::NHWC }); + +/** Configuration test */ +void validate_configuration(size_t width_value, size_t height_value, size_t channel_value, size_t batch_value, Size2D kernel_sz_value, size_t depth_multiplier_value, Size2D dilation_value, Size2D stride_value, bool padding_valid_value, DataType data_type_value, DataLayout data_layout_value) +{ + TensorShape src_shape(width_value, height_value, channel_value, batch_value); + TensorShape weights_shape(kernel_sz_value.width, kernel_sz_value.height, channel_value * depth_multiplier_value); + TensorShape biases_shape(channel_value * depth_multiplier_value); + + if(data_layout_value == DataLayout::NHWC) + { + permute(src_shape, PermutationVector(2U, 0U, 1U, 3U)); + permute(weights_shape, PermutationVector(2U, 0U, 1U)); + } + + TensorInfo src_info(src_shape, 1, data_type_value); + TensorInfo weights_info(weights_shape, 1, data_type_value); + TensorInfo biases_info(biases_shape, 1, data_type_value); + + src_info.set_data_layout(data_layout_value); + weights_info.set_data_layout(data_layout_value); + biases_info.set_data_layout(data_layout_value); + + PadStrideInfo conv_info; + if(padding_valid_value) + { + conv_info = PadStrideInfo(); + } + else + { + conv_info = calculate_same_pad(src_shape, weights_shape, PadStrideInfo(stride_value.width, stride_value.height), data_layout_value, dilation_value); + } + + const TensorShape dst_shape = compute_depthwise_convolution_shape(src_info, weights_info, conv_info, depth_multiplier_value, dilation_value); + + // Create tensors + Tensor src = create_tensor<Tensor>(src_shape, data_type_value, 1, QuantizationInfo(), data_layout_value); + Tensor weights = create_tensor<Tensor>(weights_shape, data_type_value, 1, QuantizationInfo(), data_layout_value); + Tensor biases = create_tensor<Tensor>(biases_shape, data_type_value, 1, QuantizationInfo(), data_layout_value); + Tensor dst = create_tensor<Tensor>(dst_shape, data_type_value, 1, QuantizationInfo(), data_layout_value); + + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(biases.info()->is_resizable(), framework::LogLevel::ERRORS); + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Create and configure function + NEDepthwiseConvolutionLayerNative dwc; + dwc.configure(&src, &weights, &biases, &dst, conv_info, depth_multiplier_value, dilation_value); +} +} // namespace + +TEST_SUITE(NEON) +TEST_SUITE(DepthwiseConvolutionLayerNative) +TEST_SUITE(Float) +TEST_SUITE(FP32) +DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_precommit, + height_values_precommit), + channel_values_precommit), + batch_values_precommit), + kernel_sz_values), + depth_multiplier_values), + dilation_values), + stride_values), + padding_valid_values), + data_type_values), + data_layout_values), +width_value, height_value, channel_value, batch_value, kernel_sz_value, depth_multiplier_value, dilation_value, stride_value, padding_valid_value, data_type_value, data_layout_value) +{ + validate_configuration(width_value, height_value, channel_value, batch_value, kernel_sz_value, depth_multiplier_value, dilation_value, stride_value, padding_valid_value, data_type_value, data_layout_value); +} + +FIXTURE_DATA_TEST_CASE(RunSmall, NEDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::ALL, + combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_precommit, + height_values_precommit), + channel_values_precommit), + batch_values_precommit), + kernel_sz_values), + depth_multiplier_values), + dilation_values), + stride_values), + padding_valid_values), + data_type_values), + data_layout_values)) +{ + // Validate output + validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); +} + +FIXTURE_DATA_TEST_CASE(RunLarge, NEDepthwiseConvolutionLayerNativeFixture<float>, framework::DatasetMode::NIGHTLY, + combine(combine(combine(combine(combine(combine(combine(combine(combine(combine(width_values_nightly, + height_values_nightly), + channel_values_nightly), + batch_values_nightly), + kernel_sz_values), + depth_multiplier_values), + dilation_values), + stride_values), + padding_valid_values), + data_type_values), + data_layout_values)) +{ + // Validate output + validate(Accessor(_target), _reference, rel_tolerance_f32, 0.f, abs_tolerance_f32); +} + +TEST_SUITE_END() // FP32 +TEST_SUITE_END() // Float +TEST_SUITE_END() // DepthwiseConvolutionLayerNative +TEST_SUITE_END() // NEON +} // namespace validation +} // namespace test +} // namespace arm_compute
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