mindspore.numpy.maximum
- mindspore.numpy.maximum(x1, x2, dtype=None)[source]
Returns the element-wise maximum of array elements.
Compares two arrays and returns a new array containing the element-wise maxima.
Note
Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported. On Ascend, input arrays containing inf or NaN are not supported.
- Parameters
x1 (Tensor) – Input array
x2 (Tensor) – The array holding the elements to be compared. If
x1.shape != x2.shape
, they must be broadcastable to a common shape (which becomes the shape of the output).dtype (
mindspore.dtype
, optional) – defaults to None. Overrides the dtype of the output Tensor.
- Returns
Tensor or scalar, the maximum of x1 and x2, element-wise. This is a scalar if both x1 and x2 are scalars.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore.numpy as np >>> output = np.maximum(np.array([2, 3, 4]), np.array([1, 5, 2])) >>> print(output) [2 5 4]