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

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ReLU6 Activation

\[ReLU6(x) = min(max(0,x), 6)\]

x is input Tensor.

Parameters

name (str|None, 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([-1., 0.3, 6.5])
>>> m = paddle.nn.ReLU6()
>>> out = m(x)
>>> print(out)
Tensor(shape=[3], dtype=float32, place=Place(cpu), stop_gradient=True,
[0.        , 0.30000000, 6.        ])

forward ( x: Tensor ) → Tensor

forward?

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 ( ) → str

extra_repr?

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