Tensor creation routines (mygrad.tensor_creation)

Array-Like

tensor(arr_like[, dtype, constant, copy, ndmin])	Create a tensor
asarray(a[, dtype, order])	Convert the input to an array.
astensor(t[, dtype, constant])	Convert the input to a tensor.

Ones and zeros

ones(shape[, dtype, constant])	Return a Tensor of the given shape and type, filled with ones.
ones_like(other[, dtype, shape, constant])	Return a Tensor of the same shape and type as the given, filled with ones.
zeros(shape[, dtype, constant])	Return a Tensor of the given shape and type, filled with zeros.
zeros_like(other[, dtype, shape, constant])	Return a Tensor of the same shape and type as the given, filled with zeros.
eye(N[, M, k, dtype, constant])	Return a 2D Tensor with ones on the diagonal and zeros elsewhere.
identity(n[, dtype, constant])	Return the identity Tensor; a square Tensor with 1s on the main diagonal and 0s elsewhere.
full(shape, fill_value[, dtype, constant])	Return a Tensor of the given shape and type, filled with fill_value.
full_like(other, fill_value[, dtype, shape, ...])	Return a Tensor of the same shape and type as the given, filled with fill_value.
empty(shape[, dtype, constant])	Return a new Tensor of the given shape and type, without initializing entries.
empty_like(other[, dtype, shape, constant])	Return a new Tensor of the same shape and type as the given array.

Numerical ranges

arange([start,] stop[, step,][, dtype, constant])	Return a Tensor with evenly-spaced values within a given interval.
linspace(start, stop[, num, endpoint, ...])	Return a Tensor with evenly-spaced numbers over a specified interval.
logspace(start, stop[, num, endpoint, base, ...])	Return a Tensor with evenly-spaced numbers over a specified interval on a log scale.
geomspace(start, stop[, num, endpoint, ...])	Return a Tensor with evenly-spaced values in a geometric progression.