- xorbits.numpy.broadcast_to(tensor, shape)#
Broadcast an array to a new shape.
array (array_like (Not supported yet)) – The array to broadcast.
shape (tuple or int) – The shape of the desired array. A single integer
iis interpreted as
subok (bool, optional (Not supported yet)) – If True, then sub-classes will be passed-through, otherwise the returned array will be forced to be a base-class array (default).
broadcast – A readonly view on the original array with the given shape. It is typically not contiguous. Furthermore, more than one element of a broadcasted array may refer to a single memory location.
- Return type
ValueError – If the array is not compatible with the new shape according to NumPy’s broadcasting rules.
New in version 1.10.0(numpy).
>>> x = np.array([1, 2, 3]) >>> np.broadcast_to(x, (3, 3)) array([[1, 2, 3], [1, 2, 3], [1, 2, 3]])
The tensor to broadcast.
This docstring was copied from numpy.