mindspore.numpy.sqrt
- mindspore.numpy.sqrt(x, dtype=None)[source]
Returns the non-negative square-root of an array, element-wise.
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) – The values whose square-roots are required.
dtype (
mindspore.dtype
, optional) – defaults to None. Overrides the dtype of the output Tensor.
- Returns
Tensor or scalar, an array of the same shape as x, containing the positive square-root of each element in x. For negative elements, nan is returned. This is a scalar if x is a scalar.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore.numpy as np >>> x = np.arange(6).reshape(2, 3).astype('float32') >>> x_squared = np.square(x) >>> output = np.sqrt(x_squared) >>> print(output) [[ 0. 1. 2.] [ 3. 4. 5.]]