Module ops 

composable operators for tensor manipulations and transformations, neural networks, and more

Traits

Apply

Apply is a composable binary operator generally used to apply some object or function onto the caller to produce some output.

ApplyMut

ApplyMut provides an interface for mutable containers that can apply a function onto their elements, modifying them in place.

ApplyOnce

The ApplyOnce trait consumes the container and applies the given function to every element before returning a new container with the results.

ArrayLike

Decrement

Decrement is a chainable trait that defines a decrement method, effectively removing a single unit from the original object to create another

DecrementAxis

The DecrementAxis is used as a unary operator for removing a single axis from a multidimensional array or tensor-like structure.

DecrementMut

The DecrementMut trait defines a decrement method that operates in place, modifying the original object.

DefaultLike

FillLike

Increment

The Increment

IncrementAxis

The IncrementAxis trait defines a method enabling an axis to increment itself, effectively adding a new axis to the array.

IncrementMut

IsSquare

IsSquare is a trait for checking if the layout, or dimensionality, of a tensor is square.

MapInto

MapInto defines an interface for containers that can consume themselves to apply a given function onto each of their elements.

MapTo

MapTo establishes an interface for containers capable of applying a given function onto each of their elements, by reference.

MaskFill

This trait is used to fill an array with a value based on a mask. The mask is a boolean array of the same shape as the array.

NdLike

OnesLike

Unsqueeze

The Unsqueeze trait establishes an interface for a routine that unsqueezes an array, by inserting a new axis at a specified position. This is useful for reshaping arrays to meet specific dimensional requirements.

ZerosLike