mindspore.ops.Hypot

class mindspore.ops.Hypot

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.

Warning

This is an experimental API that is subject to change or deletion.

Inputs:

• x1 (Tensor) - The first input tensor.

• x2 (Tensor) - The second input tensor.

Outputs:

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 x1 or x2 is not float32 or float64.

• ValueError – If shape of two inputs are not broadcastable.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> x1 = Tensor(np.array([3., 5., 7.]))
>>> x2 = Tensor(np.array([4., 12., 24.]))
>>> hypot_ = ops.Hypot()
>>> y = hypot_(x1, x2)
>>> print(y)
[ 5. 13. 25.]
>>> x1 = Tensor(2.1, mindspore.float32)
>>> x2 = Tensor(2.1, mindspore.float32)
>>> hypot_ = ops.Hypot()
>>> y = hypot_(x1, x2)
>>> print(y)
2.9698484