mindspore.ops.NextAfter

class mindspore.ops.NextAfter[source]

Returns the next representable floating-point value after x1 towards x2 element-wise.

Say there are two float32 numbers \(a, b\), and let the representable delta of float32 datatype is \(eps\). If \(a < b\), then the next representable of \(a\) towards \(b\) is \(a+eps\), If \(a > b\), the next representable of \(a\) towards \(b\) is \(a-eps\).

\[out_{i} = nextafter({x1_{i}, x2_{i}})\]

Warning

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

Inputs:

x1 (Tensor) - The shape of tensor is \((N,*)\) where \(*\) means, any number of additional dimensions. Must be one of the following types: float32, float64.
x2 (Tensor) - The shape of tensor is \((N,*)\) where \(*\) means, any number of additional dimensions. Must be one of the following types: float32, float64.

Outputs:

Tensor, has the same shape and data type as x1.

Raises

TypeError – If neither x1 nor x2 is a Tensor.
TypeError – If the dtype of x1 and x2 is not one of: float32, float64.
TypeError – If the dtypes of x1 and x2 are not same.
ValueError – If x1’s shape is not the same as x2.

Supported Platforms:: Ascend GPU CPU

Examples

>>> nextafter = ops.NextAfter()
>>> x1 = Tensor(np.asarray([0.0]), mindspore.float32)
>>> x2 = Tensor(np.asarray([0.1]), mindspore.float32)
>>> output = nextafter(x1, x2)
>>> print(output)
[1.e-45]