| /* |
| * 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 - Precommit */ |
| const auto kernel_sz_values_precommit = framework::dataset::make("kernel_size", { Size2D(1U, 1U), Size2D(1U, 3U) }); |
| |
| /** Kernel size values to test - Nightly */ |
| const auto kernel_sz_values_nightly = framework::dataset::make("kernel_size", { Size2D(3U, 5U), Size2D(5U, 1U), Size2D(1U, 7U), Size2D(9U, 7U) }); |
| |
| /** 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_precommit), |
| 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_precommit), |
| 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_nightly), |
| 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 |