tensor

v2.0.0

tensor v2.0.0 Tensor.Vector

Link to this section Summary

Functions

add(a, b)

See Tensor.Tensor.add/2

add_number(a, b)

See Tensor.Tensor.add_number/2

add_vector(vector_a, vector_b)

Elementwise addition of vectors vector_a and vector_b

dense_map_with_coordinates(vector, function)

See Tensor.Tensor.dense_map_with_coordinates/2

div(a, b)

See Tensor.Tensor.div/2

div_number(a, b)

See Tensor.Tensor.div_number/2

div_vector(vector_a, vector_b)

Elementwise division of vector_a and vector_b. Make sure that the identity of vector_b isn’t 0 before doing this

dot_product(a, b)
fetch(vector, index)

Returns the element at index from vector

from_list(list, identity \\ 0)
get(vector, index, default)

Returns the element at index from vector. If index is out of bounds, returns default

get_and_update(vector, index, function)

See Tensor.Tensor.get_and_update/3

identity(vector)

Returns the current identity of vector vector

length(vector)
lift(vector)

See Tensor.Tensor.lift/1

map(vector, function)

See Tensor.Tensor.map/2

merge(vector_a, vector_b, function)

See Tensor.Tensor.merge/3

merge_with_index(vector_a, vector_b, function)

See Tensor.Tensor.merge_with_index/3

mult(a, b)

See Tensor.Tensor.mult/2

mult_number(a, b)

See Tensor.Tensor.mult_number/2

mult_vector(vector_a, vector_b)

Elementwise multiplication of vector_a with vector_b

new()
new(length_or_list_or_range, identity \\ 0)
pop(vector, index, default)

See Tensor.Tensor.pop/3

reverse(vector)
sparse_map_with_coordinates(vector, function)

See Tensor.Tensor.sparse_map_with_coordinates/2

sub(a, b)

See Tensor.Tensor.sub/2

sub_number(a, b)

See Tensor.Tensor.sub_number/2

sub_vector(vector_a, vector_b)

Elementwise subtraction of vector_b from vector_a

to_list(vector)

See Tensor.Tensor.to_list/1

vector?(a)

true if a is a Vector

with_coordinates(vector)

See Tensor.Tensor.with_coordinates/1

Link to this section Functions

Link to this function add_vector(vector_a, vector_b)

Elementwise addition of vectors vector_a and vector_b.

Link to this function dense_map_with_coordinates(vector, function)

See Tensor.Tensor.dense_map_with_coordinates/2.

Link to this function div_vector(vector_a, vector_b)

Elementwise division of vector_a and vector_b. Make sure that the identity of vector_b isn’t 0 before doing this.

Link to this function dot_product(a, b)
Link to this function fetch(vector, index)

Returns the element at index from vector.

Link to this function from_list(list, identity \\ 0)
Link to this function get(vector, index, default)

Returns the element at index from vector. If index is out of bounds, returns default.

Link to this function get_and_update(vector, index, function)

See Tensor.Tensor.get_and_update/3.

Link to this function identity(vector)

Returns the current identity of vector vector.

Link to this function map(vector, function)

See Tensor.Tensor.map/2.

Link to this function merge(vector_a, vector_b, function)

See Tensor.Tensor.merge/3.

Link to this function merge_with_index(vector_a, vector_b, function)

See Tensor.Tensor.merge_with_index/3.

Link to this function mult_vector(vector_a, vector_b)

Elementwise multiplication of vector_a with vector_b.

Link to this function new(length_or_list_or_range, identity \\ 0)
Link to this function pop(vector, index, default)

See Tensor.Tensor.pop/3.

Link to this function reverse(vector)
Link to this function sparse_map_with_coordinates(vector, function)

See Tensor.Tensor.sparse_map_with_coordinates/2.

Link to this function sub_vector(vector_a, vector_b)

Elementwise subtraction of vector_b from vector_a.

Link to this function vector?(a)

true if a is a Vector.