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]