arm_compute Namespace Reference

Namespaces
namespace	misc
namespace	weights_transformations

Data Structures
class	CLBinaryLogicalOp
class	CLBinaryLogicalOpKernel
class	CLCastBool
	Class to run CLCastBoolKernel. This converts the boolean input tensor to the output tensor's type. More...
class	CLCastBoolKernel
	Class for the kernel converting boolean type. More...
class	CLDirectTransposeConvLayer
class	CLEmbeddingLookup
	Class to perform EmbeddingLookup operation. More...
class	CLEmbeddingLookupKernel
	Class to perform EmbeddingLookup operation with opencl kernel. More...
class	CLFullyConnectedHybridLayer
class	CLFullyConnectedLayerEx
class	CLFullyConnectedReshapingLayer
	Class to run FullyConnected Layer after reshaping input tensor. More...
class	CLGatherEx
	Class to to run CLGatherKernel. More...
class	CLGatherExKernel
	Class to define an interface for the gather kernel. More...
class	CLGEMMMatrixAccumulateBiasesKernel
class	CLHashtableLookup
	Class to perform HashtableLookup operation. More...
class	CLHashtableLookupKernel
	Class to perform HashtableLookup operation with opencl kernel. More...
class	CLInstanceNormalizationLayerEx
class	CLInstanceNormalizationLayerKernelEx
class	CLKernelLibraryEx
	Class to build OpenCL kernels added from nnfw. More...
class	CLMemsetKernel
class	CLMultiplyScaleFactorKernel
class	CLNeg
class	CLNegKernel
class	CLOneHot
class	CLOneHotKernel
class	CLPadLayerEx
class	CLPadLayerKernelEx
class	CLQuantizationSymmetricKernel
class	CLReduceOperation
	Class to perform ReduceOperation. More...
class	CLReduceOperationKernel
	Class to define interface for the reduce operation kernel. More...
class	CLScaleFactorSymm8Kernel
class	CLSplitVEx
class	CLTopKV2
	Class to execute TopKV2 operation. More...
class	CLTransposeConvLayer
class	NECastBool
	Class to run INESimpleFunctionNoBorder. More...
class	NECastBoolKernel
	Class for the kernel converting boolean type. More...
class	NEEmbeddingLookup
	Class to perform EmbeddingLookup operation. More...
class	NEEmbeddingLookupKernel
class	NEFullyConnectedHybridLayer
class	NEFullyConnectedLayerEx
class	NEFullyConnectedReshapingLayer
	Class to run FullyConnected Layer after reshaping input tensor. More...
class	NEGatherEx
class	NEGatherKernelEx
class	NEGEMMMatrixAccumulateBiasesKernel
class	NEHashtableLookup
	Class to perform HashtableLookup operation. More...
class	NEHashtableLookupKernel
class	NEInstanceNormalizationLayerEx
class	NEInstanceNormalizationLayerKernelEx
class	NEMultiplyScaleFactorKernel
class	NEOneHot
class	NEOneHotKernel
class	NEQuantizationSymmetricKernel
class	NEReduceOperation
class	NEReduceSum
class	NETransposeConvLayer

Enumerations
enum class	ArgOperation { MAX , MIN }
enum class	BinaryLogicalOperation { AND , OR }
enum class	ComparisonOperationEx { EQUAL , NOT_EQUAL }
enum class	ElementWiseUnaryEx { NEG }
enum class	SubDataType { NONE , BOOL }

Functions
const std::pair< unsigned int, unsigned int >	transposeconv_output_dimensions (unsigned int in_width, unsigned int in_height, unsigned int kernel_width, unsigned int kernel_height, const PadStrideInfo &info, unsigned int invalid_right, unsigned int invalid_top)

Enumeration Type Documentation

ArgOperation

enum class arm_compute::ArgOperation

strong

Available ArgIndex operations

Enumerator
MAX
MIN

Definition at line 48 of file TypesEx.h.

{
  MAX,
  MIN,
};

BinaryLogicalOperation

enum class arm_compute::BinaryLogicalOperation

strong

Available binary logical operations

Enumerator
AND	AND
OR	OR

Definition at line 55 of file TypesEx.h.

{
  AND, 
  OR,  
};

ComparisonOperationEx

enum class arm_compute::ComparisonOperationEx

strong

Enumerator
EQUAL	EQUAL
NOT_EQUAL	NOT_EQUAL

Definition at line 61 of file TypesEx.h.

{
  EQUAL,     
  NOT_EQUAL, 
};

ElementWiseUnaryEx

enum class arm_compute::ElementWiseUnaryEx

strong

Enumerator
NEG	NEG

Definition at line 67 of file TypesEx.h.

{
  NEG, 
};

SubDataType

enum class arm_compute::SubDataType

strong

Enumerator
NONE
BOOL

Definition at line 72 of file TypesEx.h.

{
  NONE,
  BOOL,
};

Function Documentation

transposeconv_output_dimensions()

const std::pair< unsigned int, unsigned int > arm_compute::transposeconv_output_dimensions	(	unsigned int	in_width,
		unsigned int	in_height,
		unsigned int	kernel_width,
		unsigned int	kernel_height,
		const PadStrideInfo &	info,
		unsigned int	invalid_right,
		unsigned int	invalid_top
	)

Returns expected width and height of the transpose convolution's output tensor.

Note

This function was copied in order to fix a bug computing to wrong output dimensions.

Parameters

[in]	in_width	Width of input tensor (Number of columns)
[in]	in_height	Height of input tensor (Number of rows)
[in]	kernel_width	Kernel width.
[in]	kernel_height	Kernel height.
[in]	info	padding and stride info.
[in]	invalid_right	The number of zeros added to right edge of the output.
[in]	invalid_top	The number of zeros added to bottom edge of the output.

Returns

A pair with the new width in the first position and the new height in the second.

Definition at line 47 of file UtilsEx.cpp.

{
  const unsigned int stride_x = info.stride().first;
  const unsigned int stride_y = info.stride().second;
  const unsigned int padx = info.pad_left() + info.pad_right();
  const unsigned int pady = info.pad_top() + info.pad_bottom();
 
  ARM_COMPUTE_ERROR_ON(in_width < 1 || in_height < 1);
  ARM_COMPUTE_ERROR_ON(kernel_width <= padx);
  ARM_COMPUTE_ERROR_ON(kernel_height <= pady);
 
  // Find the transpose conv out dimensions
  // transpose conv out:
  //    tconv_out + pad = 1 + (in - 1) * stride + invalid
  //    tconv_out = 1 + (in - 1) * stride + invalid - pad
  const int w = stride_x * (in_width - 1) + kernel_width - padx + invalid_right;
  const int h = stride_y * (in_height - 1) + kernel_height - pady + invalid_bottom;
 
  return std::make_pair<unsigned int, unsigned int>(w, h);
}

References info.

Referenced by arm_compute::CLDirectTransposeConvLayer::configure(), arm_compute::NETransposeConvLayer::configure(), arm_compute::NETransposeConvLayer::validate(), and arm_compute::CLDirectTransposeConvLayer::validate().