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paddle.nn.functional. relu6 ( x: Tensor, name: str | None = None ) → Tensor [source]

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relu6 activation

\[relu6(x) = min(max(0,x), 6)\]

Parameters

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

• name (str|None, 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([-1, 0.3, 6.5])
>>> out = F.relu6(x)
>>> print(out)
Tensor(shape=[3], dtype=float32, place=Place(cpu), stop_gradient=True,
[0.        , 0.30000001, 6.        ])