mindspore.ops.hypot
- mindspore.ops.hypot(input, other)[source]
Computes hypotenuse of input tensors element-wise as legs of a right triangle. The shape of two inputs should be broadcastable, and data type of them should be one of: float32, float64
\[out_i = \sqrt{input_i^2 + other_i^2}\]- Parameters
- Returns
Tensor, the shape is the same as the one after broadcasting, and the data type is one with higher precision in the two inputs.
- Raises
TypeError – If data type input or other is not float32 or float64.
ValueError – If shape of two inputs are not broadcastable.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import numpy as np >>> from mindspore import Tensor, ops >>> input = Tensor(np.array([3., 5., 7.])) >>> other = Tensor(np.array([4., 12., 24.])) >>> y = ops.hypot(input, other) >>> print(y) [ 5. 13. 25.]