Compute Library
18.02
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#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/CL/CLTensorAllocator.h"
#include "arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h"
#include "tests/CL/CLAccessor.h"
#include "tests/benchmark/fixtures/DepthwiseConvolutionLayerFixture.h"
#include "tests/datasets/system_tests/mobilenet/MobileNetDepthwiseConvolutionLayerDataset.h"
#include "tests/framework/Macros.h"
#include "tests/framework/datasets/Datasets.h"
#include "utils/TypePrinter.h"
Go to the source code of this file.
Namespaces | |
arm_compute | |
This file contains all available output stages for GEMMLowp on OpenCL. | |
arm_compute::test | |
Typedefs | |
using | CLDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerFixture< CLTensor, CLDepthwiseConvolutionLayer3x3, CLAccessor > |
Functions | |
REGISTER_FIXTURE_DATA_TEST_CASE (MobileNetDepthwiseConvLayer, CLDepthwiseConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::MobileNetDepthwiseConvolutionLayerDataset(), data_types), framework::dataset::make("Batches",{1}))) | |
Variables | |
const auto | data_types = framework::dataset::make("DataType", { DataType::F32, DataType::QASYMM8 }) |