jax.numpy.emptyΒΆ
-
jax.numpy.
empty
(shape, dtype=None)ΒΆ Return a new array of given shape and type, filled with zeros.
LAX-backend implementation of
zeros()
. Original docstring below.zeros(shape, dtype=float, order=βCβ)
- Parameters
shape (int or tuple of ints) β Shape of the new array, e.g.,
(2, 3)
or2
.dtype (data-type, optional) β The desired data-type for the array, e.g., numpy.int8. Default is numpy.float64.
- Returns
out β Array of zeros with the given shape, dtype, and order.
- Return type
See also
zeros_like()
Return an array of zeros with shape and type of input.
empty()
Return a new uninitialized array.
ones()
Return a new array setting values to one.
full()
Return a new array of given shape filled with value.
Examples
>>> np.zeros(5) array([ 0., 0., 0., 0., 0.])
>>> np.zeros((5,), dtype=int) array([0, 0, 0, 0, 0])
>>> np.zeros((2, 1)) array([[ 0.], [ 0.]])
>>> s = (2,2) >>> np.zeros(s) array([[ 0., 0.], [ 0., 0.]])
>>> np.zeros((2,), dtype=[('x', 'i4'), ('y', 'i4')]) # custom dtype array([(0, 0), (0, 0)], dtype=[('x', '<i4'), ('y', '<i4')])