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 \(a+eps\), the next representable of \(b\) towards \(a\) is \(b-eps\).

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

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]