mindspore.mint.nn.functional.threshold_

mindspore.mint.nn.functional.threshold_(input, threshold, value)[source]

Update the input tensor in-place by computing the Threshold activation function element-wise.

The Threshold is defined as:

\[\begin{split}y = \begin{cases} x, &\text{ if } x > \text{threshold} \\ \text{value}, &\text{ otherwise } \end{cases}\end{split}\]
Parameters

  • input (Tensor) – The input Tensor.

  • threshold (Union[int, float]) – The value of the threshold.

  • value (Union[int, float]) – The value to replace with when element is less than threshold.

Returns

Tensor, the same shape and data type as the input.

Raises

  • TypeError – If input is not a Tensor.

  • TypeError – If threshold is not a float or an int.

  • TypeError – If value is not a float or an int.

Supported Platforms:

Ascend

Examples

>>> import mindspore
>>> from mindspore import Tensor, mint
>>> inputs = mindspore.Tensor([0.0, 2, 3], mindspore.float32)
>>> outputs = mint.nn.functional.threshold_(inputs, 1, 100)
>>> print(outputs)
[100.   2.   3.]