noodle_math.cpp File Reference

Reusable math and numeric helper primitives. More...

#include "noodle_internal.h"

Include dependency graph for noodle_math.cpp:

Functions
float	noodle_dot_float_block (const float *x, const float *w, uint16_t n)
	Compute a dot product with a small unrolled loop.
void	noodle_find_max (float *input, uint16_t n, float &max_val, uint16_t &max_idx)
	Find the maximum value and its index in a vector.
void	noodle_unpack_bn_params (const float *bn_params, uint16_t N, const float **gamma, const float **beta, const float **mean, const float **var)
	Split packed batch-normalization parameters into four arrays.
uint16_t	noodle_bn1d (float *x, uint16_t N, const float *gamma, const float *beta, const float *mean, const float *var, float eps)
	Apply 1D batch normalization in place to a raw vector.
uint16_t	noodle_bn1d (float *x, uint16_t N, const float *bn_params, float eps)
	Apply 1D batch normalization from packed parameters.
uint16_t	noodle_bn1d_relu (float *x, uint16_t N, const float *gamma, const float *beta, const float *mean, const float *var, float eps)
	Apply 1D batch normalization followed by ReLU in place.
uint16_t	noodle_bn1d_relu (float *x, uint16_t N, const float *bn_params, float eps)
	Apply packed 1D batch normalization followed by ReLU in place.
uint16_t	noodle_bn2d (float *x, uint16_t C, uint16_t W, const float *gamma, const float *beta, const float *mean, const float *var, float eps)
	Apply 2D channel-wise batch normalization in place.
uint16_t	noodle_bn2d (float *x, uint16_t C, uint16_t W, const float *bn_params, float eps)
	Apply 2D channel-wise batch normalization from packed parameters.
uint16_t	noodle_bn2d_relu (float *x, uint16_t C, uint16_t W, const float *gamma, const float *beta, const float *mean, const float *var, float eps)
	Apply 2D channel-wise batch normalization followed by ReLU.
uint16_t	noodle_bn2d_relu (float *x, uint16_t C, uint16_t W, const float *bn_params, float eps)
	Apply packed 2D batch normalization followed by ReLU.
uint16_t	noodle_bn (float *x, uint16_t C, uint16_t W, const float *gamma, const float *beta, const float *mean, const float *var, float eps)
	Backward-compatible raw alias for noodle_bn2d().
uint16_t	noodle_bn (float *x, uint16_t C, uint16_t W, const float *bn_params, float eps)
	Backward-compatible raw alias for packed-parameter noodle_bn2d().
uint16_t	noodle_bn_relu (float *x, uint16_t C, uint16_t W, const float *gamma, const float *beta, const float *mean, const float *var, float eps)
	Backward-compatible raw alias for noodle_bn2d_relu().
uint16_t	noodle_bn_relu (float *x, uint16_t C, uint16_t W, const float *bn_params, float eps)
	Backward-compatible raw alias for packed-parameter noodle_bn2d_relu().
uint16_t	noodle_soft_max (float *input_output, uint16_t n)
	Apply numerically stabilized softmax in place.
uint16_t	noodle_sigmoid (float *input_output, uint16_t n)
	Apply sigmoid in place.
float	noodle_sigmoidf (float x)
	Compute sigmoid for one scalar.
uint16_t	noodle_logit (float *input_output, uint16_t n)
	Apply logistic sigmoid in place.
uint16_t	noodle_relu (float *input_output, uint16_t n)
	Apply ReLU in place.
void	noodle_find_max (NoodleBuffer *input, uint16_t n, float &max_val, uint16_t &max_idx)
	Find the maximum value and its index in a NoodleBuffer vector.
uint16_t	noodle_bn1d (NoodleBuffer *x, uint16_t N, const float *gamma, const float *beta, const float *mean, const float *var, float eps)
	Apply 1D batch normalization in place to a NoodleBuffer vector.
uint16_t	noodle_bn1d (NoodleBuffer *x, uint16_t N, const float *bn_params, float eps)
	Apply 1D batch normalization from a packed parameter array.
uint16_t	noodle_bn1d_relu (NoodleBuffer *x, uint16_t N, const float *gamma, const float *beta, const float *mean, const float *var, float eps)
	Apply 1D batch normalization followed by ReLU in place.
uint16_t	noodle_bn1d_relu (NoodleBuffer *x, uint16_t N, const float *bn_params, float eps)
	Apply packed 1D batch normalization followed by ReLU in place.
uint16_t	noodle_bn2d (NoodleBuffer *x, uint16_t C, uint16_t W, const float *gamma, const float *beta, const float *mean, const float *var, float eps)
	Apply 2D channel-wise batch normalization in place.
uint16_t	noodle_bn2d (NoodleBuffer *x, uint16_t C, uint16_t W, const float *bn_params, float eps)
	Apply 2D channel-wise batch normalization from packed parameters.
uint16_t	noodle_bn2d_relu (NoodleBuffer *x, uint16_t C, uint16_t W, const float *gamma, const float *beta, const float *mean, const float *var, float eps)
	Apply 2D channel-wise batch normalization followed by ReLU.
uint16_t	noodle_bn2d_relu (NoodleBuffer *x, uint16_t C, uint16_t W, const float *bn_params, float eps)
	Apply packed 2D batch normalization followed by ReLU.
uint16_t	noodle_bn (NoodleBuffer *x, uint16_t C, uint16_t W, const float *gamma, const float *beta, const float *mean, const float *var, float eps)
	Backward-compatible alias for noodle_bn2d().
uint16_t	noodle_bn (NoodleBuffer *x, uint16_t C, uint16_t W, const float *bn_params, float eps)
	Backward-compatible alias for packed-parameter noodle_bn2d().
uint16_t	noodle_bn_relu (NoodleBuffer *x, uint16_t C, uint16_t W, const float *gamma, const float *beta, const float *mean, const float *var, float eps)
	Backward-compatible alias for noodle_bn2d_relu().
uint16_t	noodle_bn_relu (NoodleBuffer *x, uint16_t C, uint16_t W, const float *bn_params, float eps)
	Backward-compatible alias for packed-parameter noodle_bn2d_relu().
uint16_t	noodle_soft_max (NoodleBuffer *input_output, uint16_t n)
	Apply numerically stabilized softmax in place on a NoodleBuffer.
uint16_t	noodle_sigmoid (NoodleBuffer *input_output, uint16_t n)
	Apply sigmoid in place on a NoodleBuffer.
uint16_t	noodle_logit (NoodleBuffer *input_output, uint16_t n)
	Apply logistic sigmoid in place on a NoodleBuffer.
uint16_t	noodle_relu (NoodleBuffer *input_output, uint16_t n)
	Apply ReLU in place on a NoodleBuffer.

Detailed Description

Reusable math and numeric helper primitives.