thresholded_relu¶

paddle.nn.functional. thresholded_relu ( x, threshold=1.0, name=None ) [source]

thresholded relu activation.

\[\begin{split}thresholded\_relu(x) = \left\{ \begin{array}{rl} x,& \text{if } \ x > threshold \\ 0,& \text{otherwise} \end{array} \right.\end{split}\]

Parameters

• x (Tensor) – The input Tensor with data type float32, float64.

• threshold (float, optional) – The value of threshold for thresholded_relu. Default is 1.0

• name (str, optional) – For details, please refer to Name. Generally, no setting is required. Default: None.

Returns

A Tensor with the same data type and shape as x .

Examples

import paddle
import paddle.nn.functional as F

x = paddle.to_tensor([2., 0., 1.])
out = F.thresholded_relu(x)
print(out)
# Tensor(shape=[3], dtype=float32, place=Place(gpu:0), stop_gradient=True,
#        [2., 0., 0.])