mindspore.Tensor.pow

Tensor.pow(power)[source]

Calculate the power of Tensor.

\[out_{i} = x_{i} ^{ y_{i}}\]

Note

  • The current Tensor and power comply with the implicit type conversion rules to make the data types consistent.

  • Dtypes of the current Tensor and power cannot be bool at the same time, and the shapes of them can be broadcast.

Parameters

power (Union[Tensor, number.Number, bool]) – The power value, should be a number.Number or bool value, or a Tensor whose data type is number or bool_.

Returns

Tensor, the shape is the same as the one after broadcasting, and the data type is the one with higher precision or higher digits among Tensor and power.

Raises

  • TypeError – If power is not one of the following: Tensor, number.Number or bool.

  • ValueError – If the shape of the current Tensor and power are different.

Supported Platforms:

Ascend GPU CPU

Examples

>>> x = Tensor(np.array([1.0, 2.0, 4.0]), mindspore.float32)
>>> y = 3.0
>>> output = x.pow(y)
>>> print(output)
[ 1.  8. 64.]
>>>
>>> x = Tensor(np.array([1.0, 2.0, 4.0]), mindspore.float32)
>>> y = Tensor(np.array([2.0, 4.0, 3.0]), mindspore.float32)
>>> output = x.pow(y)
>>> print(output)
[ 1. 16. 64.]