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/CLSubTensor.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/CLConvolutionLayer.h"
#include "arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h"
#include "arm_compute/runtime/CL/functions/CLFullyConnectedLayer.h"
#include "arm_compute/runtime/CL/functions/CLNormalizationLayer.h"
#include "arm_compute/runtime/CL/functions/CLPoolingLayer.h"
#include "arm_compute/runtime/CL/functions/CLSoftmaxLayer.h"
#include "tests/CL/CLAccessor.h"
#include "tests/benchmark/fixtures/AlexNetFixture.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 | CLAlexNetFixture = AlexNetFixture< ICLTensor, CLTensor, CLSubTensor, CLAccessor, CLActivationLayer, CLConvolutionLayer, CLDirectConvolutionLayer, CLFullyConnectedLayer, CLNormalizationLayer, CLPoolingLayer, CLSoftmaxLayer > |
Functions | |
REGISTER_FIXTURE_DATA_TEST_CASE (AlexNet, CLAlexNetFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::make("DataType",{DataType::F16, DataType::F32}), framework::dataset::make("Batches",{1, 2, 4}))) | |