remove_weight_norm¶

paddle.nn.utils. remove_weight_norm ( layer, name='weight' ) [source]

remove weight normalization from layer.

Parameters

• layer (Layer) – Layer of paddle, which has weight.

• name (str, optional) – Name of the weight parameter. Default: ‘weight’.

Returns

Layer, the origin layer without weight norm

Examples

>>> import paddle
>>> from paddle.nn import Conv2D
>>> from paddle.nn.utils import weight_norm, remove_weight_norm
>>> paddle.seed(2023)

>>> conv = Conv2D(3, 5, 3)
>>> wn = weight_norm(conv)
>>> print(conv.weight_g)
Parameter containing:
Tensor(shape=[5], dtype=float32, place=Place(cpu), stop_gradient=False,
       [1.35883713, 1.32126212, 1.56303072, 1.20874095, 1.22893476])
>>> remove_weight_norm(conv)
>>> # The following is the effect after removing the weight norm:
>>> # print(conv.weight_g)
>>> # AttributeError: 'Conv2D' object has no attribute 'weight_g'