Compute Library
18.05
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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/CLActivationLayer.h"
#include "arm_compute/runtime/CL/functions/CLBatchNormalizationLayer.h"
#include "arm_compute/runtime/CL/functions/CLConvolutionLayer.h"
#include "arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h"
#include "arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h"
#include "arm_compute/runtime/CL/functions/CLPoolingLayer.h"
#include "arm_compute/runtime/CL/functions/CLReshapeLayer.h"
#include "arm_compute/runtime/CL/functions/CLSoftmaxLayer.h"
#include "tests/CL/CLAccessor.h"
#include "tests/benchmark/fixtures/MobileNetV1Fixture.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 | |
arm_compute::test::benchmark | |
Typedefs | |
using | CLMobileNetV1_224_Fixture = MobileNetV1Fixture< CLTensor, CLAccessor, CLActivationLayer, CLBatchNormalizationLayer, CLConvolutionLayer, CLDirectConvolutionLayer, CLDepthwiseConvolutionLayer3x3, CLReshapeLayer, CLPoolingLayer, CLSoftmaxLayer, 224 > |
using | CLMobileNetV1_128_Fixture = MobileNetV1Fixture< CLTensor, CLAccessor, CLActivationLayer, CLBatchNormalizationLayer, CLConvolutionLayer, CLDirectConvolutionLayer, CLDepthwiseConvolutionLayer3x3, CLReshapeLayer, CLPoolingLayer, CLSoftmaxLayer, 128 > |
Functions | |
REGISTER_FIXTURE_DATA_TEST_CASE (MobileNetV1_224, CLMobileNetV1_224_Fixture, framework::DatasetMode::ALL, framework::dataset::make("Batches",{1, 4, 8})) | |
REGISTER_FIXTURE_DATA_TEST_CASE (MobileNetV1_128, CLMobileNetV1_128_Fixture, framework::DatasetMode::ALL, framework::dataset::make("Batches",{1, 4, 8})) | |