The number of dimensions can be extracted with:

Tensors can be reshaped with:

Tensors can be combined element-wise with other tensors as well as numbers with:

Tensors support the following matrix operations:

Tensors also support the following concatenation operations:

Tensors implement all sequences operations.

Tensors can be indexed into using either numbers or arrays, for example:

If the array being used to index into the tensor has the wrong number of dimensions, a dimension-mismatch-error will be thrown.

dims ( tensor -- n )

Tensors can be reshaped with:

reshape ( tensor shape -- tensor )

flatten ( tensor -- tensor )

Tensors can be combined element-wise with other tensors as well as numbers with:

t+ ( x y -- tensor )

t- ( x y -- tensor )

t* ( x y -- tensor )

t/ ( x y -- tensor )

t% ( x y -- tensor )

Tensors support the following matrix operations:

matmul ( tensor1: tensor tensor2: tensor -- tensor3: tensor )

transpose ( tensor: tensor -- tensor': tensor )

Tensors also support the following concatenation operations:

stack ( seq -- tensor )

hstack ( seq -- tensor )

vstack ( seq -- tensor )

t-concat ( seq -- tensor )

Tensors implement all sequences operations.

Tensors can be indexed into using either numbers or arrays, for example:

USING: prettyprint sequences tensors ;
t{ { 0.0 1.0 2.0 } { 3.0 4.0 5.0 } }
[ { 1 1 } swap nth ] [ 4 swap nth ] bi = .

t

t

If the array being used to index into the tensor has the wrong number of dimensions, a dimension-mismatch-error will be thrown.

This documentation was generated offline from a
`load-all`

image. If you want, you can also
browse the documentation from within the UI developer tools. See
the Factor website
for more information.

Factor 0.99 x86.64 (2173, heads/master-f3ee5c5979, Sep 18 2022 13:17:51)