remove_weight_norm¶

paddle.nn.utils. remove_weight_norm ( layer, name='weight' ) [源代码] ¶

移除传入 layer 中的权重归一化。

参数¶

layer (paddle.nn.Layer) - 要添加权重归一化的层。

name (str，可选) - 权重参数的名字。默认值为 weight。

返回¶

Layer，移除权重归一化 hook 之后的层

代码示例¶

          import paddle
from paddle.nn import Conv2D
from paddle.nn.utils import weight_norm, remove_weight_norm

conv = Conv2D(3, 5, 3)
wn = weight_norm(conv)
print(conv.weight_g)
# Parameter containing:
# Tensor(shape=[5], dtype=float32, place=Place(gpu:0), stop_gradient=False,
#        [0., 0., 0., 0., 0.])
# Conv2D(3, 5, kernel_size=[3, 3], data_format=NCHW)

remove_weight_norm(conv)
# print(conv.weight_g)
# AttributeError: 'Conv2D' object has no attribute 'weight_g'

         