ArmComputeUtils.hpp File Reference

#include <armnn/Descriptors.hpp>
#include <armnn/Exceptions.hpp>
#include <armnn/Tensor.hpp>
#include <armnn/utility/NumericCast.hpp>
#include <armnn/backends/WorkloadData.hpp>
#include <armnnUtils/TensorUtils.hpp>
#include <arm_compute/runtime/FunctionDescriptors.h>
#include <arm_compute/function_info/FullyConnectedLayerInfo.h>
#include "neon/workloads/NeonReduceWorkload.hpp"
#include "cl/workloads/ClReduceWorkload.hpp"

Include dependency graph for ArmComputeUtils.hpp:

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Go to the source code of this file.

Namespaces
	armnn
	Copyright (c) 2021 ARM Limited and Contributors.

Macros
#define	IS_MULTI_AXES_REDUCE_SUPPORTED(func, input, desc, status)
	Macro function check if layer with multiple axes is supported on each backend. More...

Functions
arm_compute::NormalizationLayerInfo	CreateAclNormalizationLayerInfoForL2Normalization (const armnn::TensorInfo &tensorInfo, armnn::DataLayout dataLayout)
arm_compute::ActivationLayerInfo::ActivationFunction	ConvertActivationFunctionToAclActivationFunction (ActivationFunction armnnFunction)
arm_compute::ActivationLayerInfo	ConvertActivationDescriptorToAclActivationLayerInfo (const ActivationDescriptor &actDesc)
arm_compute::ActivationLayerInfo	ConvertActivationDescriptorToAclActivationLayerInfo (const ActivationDescriptor *activationDescPtr)
arm_compute::ActivationLayerInfo	ConvertAdditionalInfoToAclActivationLayerInfo (const QueueDescriptor &queueDescriptor)
arm_compute::ActivationLayerInfo	ConvertLstmActivationFuncToAclLayerInfo (uint32_t activationFunction)
arm_compute::ComparisonOperation	ConvertComparisonOperationToAcl (const ComparisonDescriptor &descriptor)
arm_compute::PoolingType	ConvertPoolingAlgorithmToAclPoolingType (PoolingAlgorithm poolingAlgorithm)
arm_compute::DimensionRoundingType	ConvertOutputShapeRoundingToAclDimensionRoundingType (OutputShapeRounding rounding)
arm_compute::NormType	ConvertNormalizationAlgorithmChannelToAclNormType (NormalizationAlgorithmChannel channelType)
arm_compute::FullyConnectedLayerInfo	ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo (const FullyConnectedDescriptor &fullyConnectedDesc, const ActivationDescriptor *activationDesc)
arm_compute::FullyConnectedLayerInfo	ConvertFullyConnectedDescriptorToAclFullyConnectedLayerInfo (const FullyConnectedDescriptor &fullyConnectedDesc, arm_compute::ActivationLayerInfo activationLayerInfo)
arm_compute::InterpolationPolicy	ConvertResizeMethodToAclInterpolationPolicy (ResizeMethod resizeMethod)
template<typename T >
T	ComputeSoftmaxAclAxis (const SoftmaxDescriptor &softmaxDesc, const armnn::TensorInfo &tensor)
int	ComputeAclAxis (const int &armnnAxis, const armnn::TensorInfo &tensor)
	Function to convert ArmNN axis (left to right) to ACL axis (right to left) ranging from [-rank, rank) More...
arm_compute::Conv3dInfo	ComputeConv3DInfo (const armnn::Convolution3dDescriptor descriptor, bool isFastMathEnabled, const ActivationDescriptor *activationDescriptor)
	Utility function used to setup an arm_compute::Conv3dInfo object from convolution3d descriptor. More...
arm_compute::Conv3dInfo	ComputeConv3DInfo (const armnn::Convolution3dQueueDescriptor queueDescriptor, bool isFastMathEnabled)
arm_compute::PaddingMode	ConvertPaddingModeToAcl (const PaddingMode &paddingMode)
arm_compute::ReductionOperation	ConvertReductionOperationToAcl (const ReduceDescriptor &descriptor)
const TensorInfo	ComputeReductionTensorShape (const armnn::TensorInfo &input, const std::vector< uint32_t > &vAxis, const bool keepDims)
	Function to compute the output tensor shape based on the axes and if keepDims is set. More...

Macro Definition Documentation

IS_MULTI_AXES_REDUCE_SUPPORTED

#define IS_MULTI_AXES_REDUCE_SUPPORTED	(		func,
			input,
			desc,
			status
	)

Value:

    armnn::TensorInfo inputTensorInfo = input;                                    \
    unsigned int recalulatedAxis = 0;                                             \
    std::vector<uint32_t> axes;                                                   \
                                                                                  \
    for (unsigned int i = 0; i != desc.m_vAxis.size(); ++i)                       \
    {                                                                             \
        axes.emplace_back(desc.m_vAxis[i]);                                       \
                                                                                  \
        const armnn::TensorInfo& reducedTensorInfo =                              \
            ComputeReductionTensorShape(input, axes, desc.m_KeepDims);            \
                                                                                  \
        std::vector<uint32_t> singleAxis(1, desc.m_vAxis[i] - recalulatedAxis);   \
                                                                                  \
        armnn::ReduceDescriptor newReduceDescriptor = desc;                       \
        newReduceDescriptor.m_vAxis.assign(singleAxis.begin(), singleAxis.end()); \
                                                                                  \
        status = func(inputTensorInfo, reducedTensorInfo, newReduceDescriptor);   \
        if (!status)                                                              \
        {                                                                         \
            break;                                                                \
        }                                                                         \
                                                                                  \
        if (!desc.m_KeepDims)                                                     \
        {                                                                         \
            recalulatedAxis++;                                                    \
        }                                                                         \
                                                                                  \
        inputTensorInfo = reducedTensorInfo;                                      \
    }

Macro function check if layer with multiple axes is supported on each backend.

Definition at line 373 of file ArmComputeUtils.hpp.