Helpers.h File Reference

#include "arm_compute/core/Types.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/function_info/ActivationLayerInfo.h"
#include "support/Half.h"
#include "tests/Globals.h"
#include "tests/SimpleTensor.h"
#include <math.h>
#include <random>
#include <type_traits>
#include <utility>

Go to the source code of this file.

Data Structures
struct	is_floating_point< T >
struct	is_floating_point< half >

Namespaces
	arm_compute
	Copyright (c) 2017-2023 Arm Limited.
	arm_compute::test
	arm_compute::test::validation

Functions
template<typename T >
std::pair< T, T >	get_activation_layer_test_bounds (ActivationLayerInfo::ActivationFunction activation, DataType data_type)
	Helper function to get the testing range for each activation layer. More...
TensorShape	calculate_depth_concatenate_shape (const std::vector< TensorShape > &input_shapes)
	Calculate output tensor shape give a vector of input tensor to concatenate. More...
TensorShape	calculate_concatenate_shape (const std::vector< TensorShape > &input_shapes, size_t axis)
	Calculate output tensor shape for the concatenate operation along a given axis. More...
template<typename T >
SimpleTensor< float >	convert_from_asymmetric (const SimpleTensor< T > &src)
	Convert an asymmetric quantized simple tensor into float using tensor quantization information. More...
template<typename T >
SimpleTensor< float >	convert_from_symmetric (const SimpleTensor< T > &src)
	Convert quantized simple tensor into float using tensor quantization information. More...
template<typename T >
void	matrix_multiply (const SimpleTensor< T > &a, const SimpleTensor< T > &b, SimpleTensor< T > &out)
	Matrix multiply between 2 float simple tensors. More...
template<typename T >
void	transpose_matrix (const SimpleTensor< T > &in, SimpleTensor< T > &out)
	Transpose matrix. More...
template<typename T >
void	get_tile (const SimpleTensor< T > &in, SimpleTensor< T > &tile, const Coordinates &coord)
	Get a 2D tile from a tensor. More...
template<typename T >
void	zeros (SimpleTensor< T > &in, const Coordinates &anchor, const TensorShape &shape)
	Fill with zeros the input tensor in the area defined by anchor and shape. More...
std::pair< int, int >	get_quantized_bounds (const QuantizationInfo &quant_info, float min, float max)
	Helper function to compute quantized min and max bounds. More...
std::pair< int, int >	get_quantized_qasymm8_signed_bounds (const QuantizationInfo &quant_info, float min, float max)
	Helper function to compute asymmetric quantized signed min and max bounds. More...
std::pair< int, int >	get_symm_quantized_per_channel_bounds (const QuantizationInfo &quant_info, float min, float max, size_t channel_id=0)
	Helper function to compute symmetric quantized min and max bounds. More...
void	add_padding_x (std::initializer_list< ITensor * > tensors, const DataLayout &data_layout=DataLayout::NHWC, bool only_right_pad=false)
	Add random padding along the X axis (between 1 and 16 columns per side) to all the input tensors. More...
void	add_padding_y (std::initializer_list< ITensor * > tensors, const DataLayout &data_layout=DataLayout::NHWC)
	Add random padding along the Y axis (between 1 and 4 rows per side) to all the input tensors. More...
QuantizationInfo	calculate_mat_mul_dst_q_info (const QuantizationInfo &lhs_q_info, const QuantizationInfo &rhs_q_info, int m, int n, int k, DataType data_type)
	For MatMulLowp, given the Lhs/Rhs matrix quantization informations and the matrix multiplication dimensions, calculate a suitable output quantization for obtaining non-saturated outputs with high probability. More...