ReLU6

class paddle.nn. ReLU6 ( name=None ) [source]

ReLU6 Activation

\[ReLU6(x) = min(max(0,x), 6)\]
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
import numpy as np

x = paddle.to_tensor(np.array([-1, 0.3, 6.5]))
m = paddle.nn.ReLU6()
out = m(x) # [0, 0.3, 6]
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.