mindspore.numpy.hypot

mindspore.numpy.hypot(x1, x2, dtype=None)[source]

Given the “legs” of a right triangle, returns its hypotenuse.

Equivalent to sqrt(x1**2 + x2**2), element-wise. If x1 or x2 is scalar_like (i.e., unambiguously cast-able to a scalar type), it is broadcast for use with each element of the other argument. (See Examples)

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. On CPU, the supported dtypes are np.float16, np.float32, and np.float64.

Parameters

x1 (Tensor) – Leg of the traingle(s).
x2 (Tensor) – Leg of the triangle(s). If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).
dtype (mindspore.dtype, optional) – defaults to None. Overrides the dtype of the output Tensor.

Returns

Tensor or scalar, the hypotenuse of the triangle(s). This is a scalar if both x1 and x2 are scalars.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> output = np.hypot(3*np.ones((3, 3)), 4*np.ones((3, 3)))
>>> print(output)
[[5. 5. 5.]
[5. 5. 5.]
[5. 5. 5.]]
>>> output = np.hypot(3*np.ones((3, 3)), np.array([4.0]))
>>> print(output)
[[5. 5. 5.]
[5. 5. 5.]
[5. 5. 5.]]