jax.numpy.zeros¶

jax.numpy.zeros(shape, dtype=None)[source]¶

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=’C’)

Returns
outndarray

Array of zeros with the given shape, dtype, and order.

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.

>>> 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')])