ThresholdedReLU

class paddle.nn. ThresholdedReLU ( threshold=1.0, name=None ) [source]

Thresholded ReLU Activation

\[\begin{split}ThresholdedReLU(x) = \\begin{cases} x, \\text{if } x > threshold \\\\ 0, \\text{otherwise} \\end{cases}\end{split}\]
Parameters
  • threshold (float, optional) – The value of threshold for ThresholdedReLU. Default is 1.0

  • name (str, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.

Shape:
  • input: Tensor with any shape.

  • output: Tensor with the same shape as input.

Examples

import paddle
import numpy as np

x = paddle.to_tensor(np.array([2., 0., 1.]))
m = paddle.nn.ThresholdedReLU()
out = m(x) # [2., 0., 0.]
forward ( x )

Defines the computation performed at every call. Should be overridden by all subclasses.

Parameters
  • *inputs (tuple) – unpacked tuple arguments

  • **kwargs (dict) – unpacked dict arguments

extra_repr ( )

Extra representation of this layer, you can have custom implementation of your own layer.