math_utilities.h File Reference

#include "pch.h"
#include "tensor_utilities.h"
#include "enum_map.h"
#include "operators.h"

Go to the source code of this file.

Namespaces
namespace	opennn

Functions
void	opennn::pad (const TensorView &input, TensorView &output)
	Pads the input tensor and writes the result into output.
void	opennn::bound (const TensorView &input, const TensorView &lower_bounds, const TensorView &upper_bounds, TensorView &output)
	Clamps each element of input to the [lower_bounds, upper_bounds] range.
void	opennn::bound_cpu (const TensorView &input, const TensorView &lower_bounds, const TensorView &upper_bounds, TensorView &output)
	CPU implementation of bound().
void	opennn::scale (const TensorView &input, const TensorView &minimums, const TensorView &maximums, const TensorView &means, const TensorView &standard_deviations, const TensorView &scalers, float min_range, float max_range, TensorView &output)
	Applies per-feature scaling (mean/std, min/max, or other scalers) to a tensor.
void	opennn::scale_cpu (const TensorView &input, const TensorView &minimums, const TensorView &maximums, const TensorView &means, const TensorView &standard_deviations, const TensorView &scalers, float min_range, float max_range, TensorView &output)
	CPU implementation of scale().
void	opennn::unscale (const TensorView &input, const TensorView &minimums, const TensorView &maximums, const TensorView &means, const TensorView &standard_deviations, const TensorView &scalers, float min_range, float max_range, TensorView &output)
	Inverse of scale(); reconstructs original values from a previously scaled tensor.
void	opennn::unscale_cpu (const TensorView &input, const TensorView &minimums, const TensorView &maximums, const TensorView &means, const TensorView &standard_deviations, const TensorView &scalers, float min_range, float max_range, TensorView &output)
	CPU implementation of unscale().
void	opennn::copy (const TensorView &source, TensorView &destination)
	Copies the contents of source into destination, dispatching to CPU or GPU as needed.
void	opennn::copy_cpu (const TensorView &source, TensorView &destination)
	CPU implementation of copy().
void	opennn::add (const TensorView &input_1, const TensorView &input_2, TensorView &output)
	Element-wise addition: output = input_1 + input_2.
void	opennn::add_cpu (const TensorView &input_1, const TensorView &input_2, TensorView &output)
	CPU implementation of add().
void	opennn::multiply (const TensorView &input_a, bool transpose_a, const TensorView &input_b, bool transpose_b, TensorView &output, float alpha=1.0f, float beta=0.0f)
	General matrix multiply: output = alpha * op(input_a) * op(input_b) + beta * output.
void	opennn::multiply_cpu (const TensorView &input_a, bool transpose_a, const TensorView &input_b, bool transpose_b, TensorView &output, float alpha=1.0f, float beta=0.0f)
	CPU implementation of multiply().
void	opennn::softmax (TensorView &output)
	Applies softmax in place along the trailing dimension of output.
void	opennn::softmax_cpu (TensorView &output)
	CPU implementation of softmax().
void	opennn::max_pooling_3d_forward (const TensorView &input, TensorView &output, TensorView &maximal_indices, bool is_training)
	Forward pass of 3D max pooling; records argmax positions when training.
void	opennn::max_pooling_3d_forward_cpu (const TensorView &input, TensorView &output, TensorView &maximal_indices, bool is_training)
	CPU implementation of max_pooling_3d_forward().
void	opennn::average_pooling_3d_forward (const TensorView &input, TensorView &output)
	Forward pass of 3D average pooling.
void	opennn::average_pooling_3d_forward_cpu (const TensorView &input, TensorView &output)
	CPU implementation of average_pooling_3d_forward().
void	opennn::max_pooling_3d_backward (const TensorView &maximal_indices, const TensorView &output_delta, TensorView &input_delta)
	Backward pass for 3D max pooling; routes gradients to argmax positions.
void	opennn::max_pooling_3d_backward_cpu (const TensorView &maximal_indices, const TensorView &output_delta, TensorView &input_delta)
	CPU implementation of max_pooling_3d_backward().
void	opennn::average_pooling_3d_backward (const TensorView &input, const TensorView &output_delta, TensorView &input_delta)
	Backward pass for 3D average pooling.
void	opennn::average_pooling_3d_backward_cpu (const TensorView &input, const TensorView &output_delta, TensorView &input_delta)
	CPU implementation of average_pooling_3d_backward().
void	opennn::split_heads (const TensorView &source, TensorView &destination)
	Reshapes a multi-head attention tensor by splitting the last axis into heads.
void	opennn::split_heads_cpu (const TensorView &source, TensorView &destination)
	CPU implementation of split_heads().
void	opennn::merge_heads (const TensorView &source, TensorView &destination)
	Inverse of split_heads(); merges per-head tensors back into a single representation.
void	opennn::merge_heads_cpu (const TensorView &source, TensorView &destination)
	CPU implementation of merge_heads().