GELU¶

class paddle.nn. GELU ( approximate=False, name=None ) [source]

GELU Activation.

If approximate is True

\[GELU(x) = 0.5 * x * (1 + tanh(\sqrt{\frac{2}{\pi}} * (x + 0.044715x^{3})))\]

else

\[GELU(x) = 0.5 * x * (1 + erf(\frac{x}{\sqrt{2}}))\]

Parameters

• approximate (bool, optional) – Wether to enable approximation. Default is False.

• 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, 0.5],[1, 1.5]]))

m = paddle.nn.GELU()
out = m(x) # [-0.158655 0.345731 0.841345 1.39979]

m = paddle.nn.GELU(True)
out = m(x) # [-0.158808 0.345714 0.841192 1.39957]

forward ( x )

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 ( )

extra_repr¶

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