GELU¶

class paddle.nn. GELU ( approximate: bool = False, name: str | None = 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) – Whether to enable approximation. Default is False.
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, 0.5],[1, 1.5]])
>>> m = paddle.nn.GELU()
>>> out = m(x)
>>> print(out)
Tensor(shape=[2, 2], dtype=float32, place=Place(cpu), stop_gradient=True,
[[-0.15865529,  0.34573123],
 [ 0.84134471,  1.39978933]])
>>> m = paddle.nn.GELU(True)
>>> out = m(x)
>>> print(out)
Tensor(shape=[2, 2], dtype=float32, place=Place(cpu), stop_gradient=True,
[[-0.15880796,  0.34571400],
 [ 0.84119201,  1.39957154]])

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.

GELU¶

forward¶

extra_repr¶