mindspore.Tensor.pow
- Tensor.pow(exponent) Tensor
Calculates the exponent power of each element in self.
When exponent is a Tensor, the shapes of self and exponent must be broadcastable.
\[out_{i} = self_{i} ^{ exponent_{i}}\]- Parameters
exponent (Union[Tensor, Number]) – The second self is a Number 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 the two inputs.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore >>> import numpy as np >>> from mindspore import Tensor >>> input = Tensor(np.array([1.0, 2.0, 4.0]), mindspore.float32) >>> exponent = 3.0 >>> output = input.pow(exponent) >>> print(output) [ 1. 8. 64.] >>> >>> input = Tensor(np.array([1.0, 2.0, 4.0]), mindspore.float32) >>> exponent = Tensor(np.array([2.0, 4.0, 3.0]), mindspore.float32) >>> output = input.pow(exponent) >>> print(output) [ 1. 16. 64.]