ITensor Class Reference

Interface for CPU tensor. More...

#include <ITensor.h>

Public Member Functions
virtual ITensorInfo *	info () const =0
	Interface to be implemented by the child class to return the tensor's metadata. More...
virtual ITensorInfo *	info ()=0
	Interface to be implemented by the child class to return the tensor's metadata. More...
virtual	~ITensor ()=default
	Default virtual destructor. More...
virtual uint8_t *	buffer () const =0
	Interface to be implemented by the child class to return a pointer to CPU memory. More...
uint8_t *	ptr_to_element (const Coordinates &id) const
	Return a pointer to the element at the passed coordinates. More...
void	copy_from (const ITensor &src)
	Copy the content of another tensor. More...
void	print (std::ostream &s, IOFormatInfo io_fmt=IOFormatInfo()) const
	Print a tensor to a given stream using user defined formatting information. More...
bool	is_used () const
	Flags if the tensor is used or not. More...
void	mark_as_unused () const
	Marks a tensor as unused. More...

Detailed Description

Interface for CPU tensor.

Definition at line 36 of file ITensor.h.

Constructor & Destructor Documentation

~ITensor()

virtual ~ITensor ( )

virtualdefault

Default virtual destructor.

Member Function Documentation

buffer()

virtual uint8_t* buffer ( ) const

pure virtual

Interface to be implemented by the child class to return a pointer to CPU memory.

Returns

A CPU pointer to the beginning of the image's allocation.

Implemented in ICLTensor, SubTensor, OperatorTensor, and Tensor.

Referenced by SubTensor::buffer(), Accessor::data(), arm_compute::utils::draw_detection_rectangle(), Iterator::Iterator(), ITensor::ptr_to_element(), CPPUpsampleKernel::run(), NEROIPoolingLayerKernel::run(), NEReorgLayerKernel::run(), NEGEMMConvolutionLayer::run(), CpuPoolingAssemblyWrapperKernel::run_op(), and arm_compute::run_reverse().

copy_from()

void copy_from

(

const ITensor &

src

)

Copy the content of another tensor.

Note

The number of dimensions of the source tensor must be less or equal to those of the destination tensor.

All dimensions of the destination tensor must be greater or equal to the source tensor ones.

num_channels() and element_size() of both tensors must match.

Parameters

[in]

src

Source tensor to copy from.

Definition at line 35 of file ITensor.cpp.

{
    if(&src == this)
    {
        return;
    }

    const ITensorInfo *src_info = src.info();
    ITensorInfo       *dst_info = this->info();

    ARM_COMPUTE_ERROR_ON(src_info->num_dimensions() > dst_info->num_dimensions());
    ARM_COMPUTE_ERROR_ON(src_info->num_channels() != dst_info->num_channels());
    ARM_COMPUTE_ERROR_ON(src_info->element_size() != dst_info->element_size());

    for(size_t d = 0; d < src_info->num_dimensions(); d++)
    {
        ARM_COMPUTE_ERROR_ON(src_info->dimension(d) > dst_info->dimension(d));
    }

    // Copy information about valid region
    dst_info->set_valid_region(src_info->valid_region());

    Window win_src;
    win_src.use_tensor_dimensions(src_info->tensor_shape(), Window::DimY);
    Window win_dst;
    win_dst.use_tensor_dimensions(dst_info->tensor_shape(), Window::DimY);

    Iterator src_it(&src, win_src);
    Iterator dst_it(this, win_dst);

    const size_t line_size = src_info->element_size() * src_info->dimension(0);

    execute_window_loop(
        win_src, [&](const Coordinates &)
    {
        memcpy(dst_it.ptr(), src_it.ptr(), line_size);
    },
    src_it, dst_it);
}

References ARM_COMPUTE_ERROR_ON, ITensorInfo::dimension(), TensorInfo::dimension(), Window::DimY, ITensorInfo::element_size(), TensorInfo::element_size(), arm_compute::execute_window_loop(), ITensor::info(), ITensorInfo::num_channels(), TensorInfo::num_channels(), ITensorInfo::num_dimensions(), TensorInfo::num_dimensions(), Iterator::ptr(), ITensorInfo::set_valid_region(), arm_compute::test::validation::src, arm_compute::test::validation::src_info, ITensorInfo::tensor_shape(), TensorInfo::tensor_shape(), Window::use_tensor_dimensions(), and TensorInfo::valid_region().

info() [1/2]

virtual ITensorInfo* info ( ) const

pure virtual

Interface to be implemented by the child class to return the tensor's metadata.

Returns

A pointer to the tensor's metadata.

Implemented in CLSubTensor, CLTensor, SubTensor, OperatorTensor, and Tensor.

Referenced by NumPyAccessor::access_tensor(), ImageAccessor::access_tensor(), ValidationInputAccessor::access_tensor(), ValidationOutputAccessor::access_tensor(), VerifyAccessor< D >::access_tensor(), DetectionOutputAccessor::access_tensor(), TopNPredictionsAccessor::access_tensor(), RandomAccessor::access_tensor(), arm_compute::cpu::add_qasymm8_neon(), arm_compute::cpu::add_qasymm8_signed_neon(), arm_compute::cpu::add_qsymm16_neon(), arm_compute::cpu::add_s16_u8_s16_neon(), arm_compute::cpu::add_same_neon(), ICLKernel::add_tensor_argument(), arm_compute::cpu::add_u8_u8_s16_neon(), CLComparisonKernel::border_size(), ICLTensor::clear(), arm_compute::utils::compare_tensor(), NEFlattenLayer::configure(), CPPDetectionOutputLayer::configure(), ICLSimpleKernel::configure(), NEBatchToSpaceLayerKernel::configure(), NEReverseKernel::configure(), NETileKernel::configure(), NEChannelShuffleLayerKernel::configure(), NEConvertQuantizedSignednessKernel::configure(), NEDepthToSpaceLayerKernel::configure(), CLFillBorderKernel::configure(), NEPriorBoxLayerKernel::configure(), NESpaceToDepthLayerKernel::configure(), NEComputeAllAnchorsKernel::configure(), NEInstanceNormalizationLayerKernel::configure(), NEReorgLayerKernel::configure(), CPPTopKVKernel::configure(), NEBitwiseNotKernel::configure(), CLInstanceNormalizationLayerKernel::configure(), CLMaxUnpoolingLayerKernel::configure(), CLMinMaxLayerKernel::configure(), NEFFTDigitReverseKernel::configure(), NEFFTScaleKernel::configure(), NEQLSTMLayerNormalizationKernel::configure(), NESpaceToBatchLayerKernel::configure(), CLBitwiseKernel::configure(), CPPUpsampleKernel::configure(), NEBitwiseAndKernel::configure(), NEBitwiseOrKernel::configure(), NEBitwiseXorKernel::configure(), CLChannelShuffleLayerKernel::configure(), CLReverseKernel::configure(), CLSelectKernel::configure(), NENormalizationLayerKernel::configure(), CPPPermuteKernel::configure(), CPPBoxWithNonMaximaSuppressionLimit::configure(), CLDepthToSpaceLayerKernel::configure(), CLBatchToSpaceLayerKernel::configure(), NEPadLayerKernel::configure(), CLSpaceToDepthLayerKernel::configure(), CLDeconvolutionLayerUpsampleKernel::configure(), CLComputeAllAnchorsKernel::configure(), NEMaxUnpoolingLayerKernel::configure(), NERangeKernel::configure(), NEBoundingBoxTransformKernel::configure(), NEFFTRadixStageKernel::configure(), CLNormalizationLayerKernel::configure(), NEReshapeLayer::configure(), CLQLSTMLayerNormalizationKernel::configure(), CLFFTScaleKernel::configure(), CLGatherKernel::configure(), NEMeanStdDevNormalizationKernel::configure(), CLSpaceToBatchLayerKernel::configure(), NEROIPoolingLayerKernel::configure(), CPPBoxWithNonMaximaSuppressionLimitKernel::configure(), NEFill::configure(), NEFillBorderKernel::configure(), NEMinMaxLayerKernel::configure(), CLTileKernel::configure(), NEStackLayerKernel::configure(), CLGEMMLowpQuantizeDownInt32ScaleByFixedPointKernel::configure(), CLComparisonKernel::configure(), CPPDetectionPostProcessLayer::configure(), NECopy::configure(), CLFFTDigitReverseKernel::configure(), NEGatherKernel::configure(), NETranspose::configure(), NEGEMMMatrixAdditionKernel::configure(), CLReorgLayerKernel::configure(), CLRemapKernel::configure(), NEReductionOperationKernel::configure(), NESelectKernel::configure(), CPPNonMaximumSuppressionKernel::configure(), CLFlattenLayer::configure(), CLMeanStdDevNormalizationKernel::configure(), NELogicalAnd::configure(), NEQuantizationLayer::configure(), NEFuseBatchNormalizationKernel::configure(), NEGEMMMatrixMultiplyKernel::configure(), CLComparison::configure(), NEBatchNormalizationLayerKernel::configure(), NECropKernel::configure(), CLNormalizePlanarYUVLayerKernel::configure(), CLRangeKernel::configure(), CLReductionOperationKernel::configure(), NEROIAlignLayerKernel::configure(), NEDequantizationLayer::configure(), NEGEMMLowpMatrixMultiplyKernel::configure(), CLPadLayerKernel::configure(), NEPermute::configure(), CLFFTRadixStageKernel::configure(), CLPriorBoxLayerKernel::configure(), CLReshapeLayer::configure(), NEFFT2D::configure(), CLL2NormalizeLayerKernel::configure(), NEPReluLayer::configure(), NEConvolutionLayerReshapeWeights::configure(), NEDepthConvertLayerKernel::configure(), NESoftmaxLayerGeneric< IS_LOG >::configure(), CLBoundingBoxTransformKernel::configure(), NEElementwiseMax::configure(), NERNNLayer::configure(), NESpaceToBatchLayer::configure(), NEGEMMLowpQuantizeDownInt32ScaleKernel::configure(), CLGEMMLowpMatrixMultiplyNativeKernel::configure(), NEScale::configure(), NEReduceMean::configure(), NEGEMMInterleave4x4Kernel::configure(), NEGEMMLowpOffsetContributionKernel::configure(), NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel::configure(), CLRsqrtLayer::configure(), CLReduceMean::configure(), CLROIPoolingLayerKernel::configure(), CLStackLayerKernel::configure(), CLDepthConvertLayerKernel::configure(), CLGEMMReshapeLHSMatrixKernel::configure(), NECropResize::configure(), CLDepthwiseConvolutionLayer3x3NHWCKernel::configure(), NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel::configure(), NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel::configure(), CLLogicalNot::configure(), NEFFT1D::configure(), CLArgMinMaxLayerKernel::configure(), NEReductionOperation::configure(), CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel::configure(), CLGEMMLowpQuantizeDownInt32ScaleKernel::configure(), NECol2ImKernel::configure(), CLROIAlignLayerKernel::configure(), NEDetectionPostProcessLayer::configure(), NEPoolingLayer::configure(), CLDequantizationLayer::configure(), CLFFT2D::configure(), CLDeconvolutionReshapeOutputKernel::configure(), CLPoolingLayer::configure(), CLPReluLayer::configure(), NEDepthwiseConvolutionLayer::configure(), CLWinogradInputTransformKernel::configure(), CLDeconvolutionLayer::configure(), CLRNNLayer::configure(), CLBatchNormalizationLayerKernel::configure(), CLFuseBatchNormalizationKernel::configure(), CLCol2ImKernel::configure(), CLFFT1D::configure(), CLGEMMMatrixMultiplyNativeKernel::configure(), CLConvolutionLayerReshapeWeights::configure(), NEArithmeticSubtraction::configure(), NEPadLayer::configure(), CLWinogradFilterTransformKernel::configure(), NEWeightsReshapeKernel::configure(), CLDeconvolutionLayerUpsample::configure(), CLScale::configure(), CLSpaceToBatchLayer::configure(), CLDepthwiseConvolutionLayer3x3NCHWKernel::configure(), CLGEMMLowpMatrixMultiplyReshapedKernel::configure(), CLGEMMMatrixMultiplyKernel::configure(), CLQuantizationLayer::configure(), NEDirectConvolutionLayer::configure(), CLGEMMLowpOffsetContributionKernel::configure(), NEGEMMAssemblyDispatch::configure(), CLWinogradOutputTransformKernel::configure(), CLSoftmaxLayerGeneric< IS_LOG >::configure(), CLDepthwiseConvolutionLayerNativeKernel::configure(), NEIm2ColKernel::configure(), NEGEMMConv2d::configure(), CLPadLayer::configure(), NEWinogradConvolutionLayer::configure(), CLReductionOperation::configure(), NEGEMMTranspose1xWKernel::configure(), CLGEMMLowpOffsetContributionOutputStageKernel::configure(), CLArgMinMaxLayer::configure(), NEGEMMLowpOffsetContributionOutputStageKernel::configure(), CLWeightsReshapeKernel::configure(), NEPixelWiseMultiplication::configure(), CLDirectConvolutionLayer::configure(), NEFFTConvolutionLayer::configure(), NEGenerateProposalsLayer::configure(), CLGEMMReshapeRHSMatrixKernel::configure(), CLIm2ColKernel::configure(), CLPixelWiseMultiplication::configure(), NEGEMM::configure(), CLDepthwiseConvolutionLayer::configure(), CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel::configure(), CLCropResize::configure(), NEGEMMLowpMatrixAReductionKernel::configure(), NELSTMLayerQuantized::configure(), NELSTMLayer::configure(), CLGEMMLowpMatrixAReductionKernel::configure(), CLComputeMeanVariance::configure(), CLLogicalAnd::configure(), CLLogicalOr::configure(), CLWinogradConvolutionLayer::configure(), NESlice::configure(), CLArithmeticAddition::configure(), CLComparisonStatic< COP >::configure(), CLGEMMMatrixMultiplyReshapedOnlyRHSKernel::configure(), NEDeconvolutionLayer::configure(), NEGEMMLowpMatrixMultiplyCore::configure(), CLFFTConvolutionLayer::configure(), CLGEMMLowpMatrixMultiplyCore::configure(), NEStridedSlice::configure(), NELogicalOr::configure(), CLGenerateProposalsLayer::configure(), NEConvolutionLayer::configure(), CLGEMMDeconvolutionLayer::configure(), CLGEMMMatrixMultiplyReshapedKernel::configure(), CLSlice::configure(), NEQLSTMLayer::configure(), NEFullyConnectedLayer::configure(), CLDirectDeconvolutionLayer::configure(), CLLSTMLayerQuantized::configure(), CLExpLayer::configure(), NEElementwiseMin::configure(), CLConvolutionLayer::configure(), CLGEMMLowpMatrixBReductionKernel::configure(), NEComplexPixelWiseMultiplication::configure(), CLFullyConnectedLayer::configure(), CLComplexPixelWiseMultiplication::configure(), NEGEMMLowpMatrixBReductionKernel::configure(), NELogicalNot::configure(), CLLSTMLayer::configure(), CLGEMM::configure(), CLQLSTMLayer::configure(), CLNegLayer::configure(), NEElementwiseSquaredDiff::configure(), NEGEMMConvolutionLayer::configure(), CLArithmeticSubtraction::configure(), CLSinLayer::configure(), CLGEMMConvolutionLayer::configure(), NEElementwiseDivision::configure(), CLLogLayer::configure(), NEGEMMLowpOutputStage::configure(), CLArithmeticDivision::configure(), NEElementwisePower::configure(), CLAbsLayer::configure(), NEElementwiseComparison::configure(), CLElementwiseMax::configure(), CLRoundLayer::configure(), NEElementwiseComparisonStatic< op >::configure(), CLElementwiseMin::configure(), CLElementwiseSquaredDiff::configure(), CLElementwisePower::configure(), NECropKernel::configure_output_shape(), ITensor::copy_from(), arm_compute::graph::backends::detail::create_detection_output_layer< CPPDetectionOutputLayer, CLTargetInfo >(), arm_compute::graph::backends::detail::create_detection_post_process_layer< CPPDetectionPostProcessLayer, CLTargetInfo >(), Accessor::data_layout(), Accessor::data_type(), arm_compute::utils::draw_detection_rectangle(), Accessor::element_size(), arm_compute::cpu::elementwise_comp_quantized_signed(), arm_compute::cpu::elementwise_op(), arm_compute::cpu::elementwise_op_quantized(), arm_compute::cpu::elementwise_op_quantized_signed(), arm_compute::error_on_data_layout_not_in(), arm_compute::error_on_data_type_channel_not_in(), arm_compute::error_on_data_type_not_in(), arm_compute::error_on_mismatching_data_layouts(), arm_compute::error_on_mismatching_data_types(), arm_compute::error_on_mismatching_quantization_info(), arm_compute::error_on_mismatching_shapes(), arm_compute::error_on_tensor_not_2d(), arm_compute::error_on_unsupported_cpu_bf16(), arm_compute::error_on_unsupported_cpu_fp16(), arm_compute::error_on_unsupported_fp16(), Accessor::format(), arm_compute::graph::backends::detail::get_backing_tensor_info(), ITensorV2::get_size(), Iterator::Iterator(), arm_compute::cpu::neon_softmax_logits_1d_float(), arm_compute::cpu::neon_softmax_logits_1d_quantized(), Accessor::num_channels(), Accessor::num_elements(), get_tensor_info_t< ITensorInfo * >::operator()(), VerifyAccessor< D >::output_shape(), Accessor::padding(), arm_compute::cpu::poolingMxN_q8_neon_nhwc(), CaffePreproccessor::preprocess(), TFPreproccessor::preprocess(), ITensor::ptr_to_element(), Accessor::quantization_info(), CLMinMaxLayerKernel::reset(), NEMinMaxLayerKernel::reset(), CpuElementwiseBase::run(), CpuElementwiseUnary::run(), CPPUpsampleKernel::run(), NEROIPoolingLayerKernel::run(), CPPDetectionOutputLayer::run(), CPPBoxWithNonMaximaSuppressionLimitKernel::run(), NETileKernel::run(), NEDepthToSpaceLayerKernel::run(), NEChannelShuffleLayerKernel::run(), NESpaceToDepthLayerKernel::run(), NEReverseKernel::run(), NEComputeAllAnchorsKernel::run(), CPPTopKVKernel::run(), CLInstanceNormalizationLayerKernel::run(), NEReorgLayerKernel::run(), CLDeconvolutionLayerUpsampleKernel::run(), CLQLSTMLayerNormalizationKernel::run(), CLROIPoolingLayerKernel::run(), CLComparisonKernel::run(), NEFillBorderKernel::run(), NEMinMaxLayerKernel::run(), CLMeanStdDevNormalizationKernel::run(), NEFFTRadixStageKernel::run(), NEGEMMLowpMatrixMultiplyKernel::run(), NEBoundingBoxTransformKernel::run(), NEStackLayerKernel::run(), NEGEMMMatrixMultiplyKernel::run(), CLReductionOperationKernel::run(), CLPriorBoxLayerKernel::run(), CPPDetectionPostProcessLayer::run(), NEDepthConvertLayerKernel::run(), NEBatchToSpaceLayerKernel::run(), NEROIAlignLayerKernel::run(), NECropKernel::run(), NEGEMMLowpOffsetContributionKernel::run(), NEBatchNormalizationLayerKernel::run(), CLStackLayerKernel::run(), CLGEMMLowpMatrixMultiplyNativeKernel::run(), CLArgMinMaxLayerKernel::run(), CLGEMMReshapeLHSMatrixKernel::run(), NESpaceToBatchLayerKernel::run(), CLCol2ImKernel::run(), CLDepthwiseConvolutionLayer3x3NHWCKernel::run(), CLROIAlignLayerKernel::run(), NEWeightsReshapeKernel::run(), CLWinogradInputTransformKernel::run(), CLWinogradFilterTransformKernel::run(), CLGEMMMatrixMultiplyKernel::run(), CLGEMMLowpMatrixMultiplyReshapedKernel::run(), CLGEMMMatrixMultiplyNativeKernel::run(), CLDepthwiseConvolutionLayer3x3NCHWKernel::run(), CLWeightsReshapeKernel::run(), CLWinogradOutputTransformKernel::run(), NEGEMMLowpOffsetContributionOutputStageKernel::run(), CLDepthwiseConvolutionLayerNativeKernel::run(), CLComputeMeanVariance::run(), CLIm2ColKernel::run(), CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel::run(), CLGEMMMatrixMultiplyReshapedOnlyRHSKernel::run(), CLGEMMMatrixMultiplyReshapedKernel::run(), CLGEMM::run(), NEGEMMConvolutionLayer::run(), CPPBoxWithNonMaximaSuppressionLimitKernel::run_nmslimit(), CpuDirectConvolutionKernel::run_op(), CpuAddKernel::run_op(), CpuPoolingAssemblyWrapperKernel::run_op(), CpuSubKernel::run_op(), arm_compute::run_reverse(), Accessor::shape(), Accessor::size(), arm_compute::cpu::sub_qasymm8_neon(), arm_compute::cpu::sub_qasymm8_signed_neon(), arm_compute::cpu::sub_qsymm16_neon(), arm_compute::cpu::sub_same_neon(), and arm_compute::cpu::sub_u8_u8_s16_neon().

info() [2/2]

virtual ITensorInfo* info ( )

pure virtual

Interface to be implemented by the child class to return the tensor's metadata.

Returns

A pointer to the tensor's metadata.

Implemented in CLSubTensor, CLTensor, SubTensor, OperatorTensor, and Tensor.

is_used()

bool is_used

(

)

const

Flags if the tensor is used or not.

Returns

True if it is used else false

Definition at line 163 of file ITensor.cpp.

{
    return _is_used;
}

Referenced by NEWinogradConvolutionLayer::prepare(), NEGEMM::prepare(), NEFFTConvolutionLayer::prepare(), NEDeconvolutionLayer::prepare(), NEGEMMLowpMatrixMultiplyCore::prepare(), CLGEMMLowpMatrixMultiplyCore::prepare(), CLWinogradConvolutionLayer::prepare(), CLFFTConvolutionLayer::prepare(), CLGEMMDeconvolutionLayer::prepare(), CLDirectDeconvolutionLayer::prepare(), NEFullyConnectedLayer::prepare(), CLFullyConnectedLayer::prepare(), NEGEMMConvolutionLayer::prepare(), CLGEMMConvolutionLayer::prepare(), NETensorHandle::release_if_unused(), and CLTensorHandle::release_if_unused().

mark_as_unused()

void mark_as_unused

(

)

const

Marks a tensor as unused.

Definition at line 168 of file ITensor.cpp.

{
    _is_used = false;
}

Referenced by NEWinogradConvolutionLayer::prepare(), NEGEMMConv2d::prepare(), NEGEMM::prepare(), NEFFTConvolutionLayer::prepare(), NEDeconvolutionLayer::prepare(), NEGEMMLowpMatrixMultiplyCore::prepare(), CLGEMMLowpMatrixMultiplyCore::prepare(), CLWinogradConvolutionLayer::prepare(), CLFFTConvolutionLayer::prepare(), CLGEMMDeconvolutionLayer::prepare(), NELSTMLayerQuantized::prepare(), CLDirectDeconvolutionLayer::prepare(), NEFullyConnectedLayer::prepare(), CLLSTMLayerQuantized::prepare(), CLFullyConnectedLayer::prepare(), NEQLSTMLayer::prepare(), CLGEMM::prepare(), CLQLSTMLayer::prepare(), NEGEMMConvolutionLayer::prepare(), CLGEMMConvolutionLayer::prepare(), and IWeightsManager::run().

print()

void print	(	std::ostream &	s,
		IOFormatInfo	io_fmt = IOFormatInfo()
	)		const

Print a tensor to a given stream using user defined formatting information.

Parameters

s	Output stream
io_fmt	Format information

Referenced by main().

ptr_to_element()

uint8_t* ptr_to_element ( const Coordinates &  id ) const

inline

Return a pointer to the element at the passed coordinates.

Parameters

[in]

id

Coordinates of the element

Returns

Pointer to the requested element

Definition at line 63 of file ITensor.h.

    {
        return buffer() + info()->offset_element_in_bytes(id);
    }

References ITensor::buffer(), ITensor::info(), and ITensorInfo::offset_element_in_bytes().

Referenced by arm_compute::cpu::bilinear_neon_scale(), CLGEMMLowpMatrixMultiplyCore::configure(), NECropKernel::configure_output_shape(), arm_compute::cpu::nearest_neon_scale(), Accessor::operator()(), CLAccessor::operator()(), CPPDetectionOutputLayer::run(), NETileKernel::run(), NESpaceToDepthLayerKernel::run(), NEDepthToSpaceLayerKernel::run(), CPPNonMaximumSuppressionKernel::run(), CPPDetectionPostProcessLayer::run(), NEBatchToSpaceLayerKernel::run(), NECropKernel::run(), NESpaceToBatchLayerKernel::run(), NEWeightsReshapeKernel::run(), NECropResize::run(), CPPBoxWithNonMaximaSuppressionLimitKernel::run_nmslimit(), and arm_compute::run_reverse().

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The documentation for this class was generated from the following files:

• arm_compute/core/ITensor.h
• src/core/ITensor.cpp