ReLU

class paddle.nn. ReLU ( name=None ) [source]

ReLU Activation.

\[ReLU(x) = max(x, 0)\]
Parameters

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

x = paddle.to_tensor([-2., 0., 1.])
m = paddle.nn.ReLU()
out = m(x) # [0., 0., 1.]
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.

Used in the guide/tutorials