mindspore.numpy.square

mindspore.numpy.square(x, dtype=None)[source]

Returns the element-wise square of the input.

Note

Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported. On GPU, the supported dtypes are np.float16 and np.float32.

Parameters

x (Tensor) – Input data.
dtype (mindspore.dtype, optional) – defaults to None. Overrides the dtype of the output Tensor.

Returns

Tensor or scalar, element-wise x*x, of the same shape and dtype as x. This is a scalar if x is a scalar..

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> x = np.square(np.arange(6).reshape(2, 3).astype('float32'))
>>> print(x)
[[ 0.  1.  4.]
[ 9. 16. 25.]]