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[xdoctest] reformat example code with google style in No 101 #55968

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merged 6 commits into from
Aug 14, 2023
Merged

[xdoctest] reformat example code with google style in No 101 #55968

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51323ea
weight_norm_hook
Liyulingyue Aug 3, 2023
637a9f1
Update weight_norm_hook.py
Liyulingyue Aug 4, 2023
43f41e2
Update weight_norm_hook.py
Liyulingyue Aug 5, 2023
3642517
Update python/paddle/nn/utils/weight_norm_hook.py
Liyulingyue Aug 5, 2023
1730471
Update python/paddle/nn/utils/weight_norm_hook.py
Liyulingyue Aug 5, 2023
fb6dda0
Update python/paddle/nn/utils/weight_norm_hook.py
Liyulingyue Aug 10, 2023
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45 changes: 22 additions & 23 deletions python/paddle/nn/utils/weight_norm_hook.py
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Original file line number Diff line number Diff line change
Expand Up @@ -191,15 +191,15 @@ def weight_norm(layer, name='weight', dim=0):
Examples:
.. code-block:: python

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

conv = Conv2D(3, 5, 3)
wn = weight_norm(conv)
print(conv.weight_g.shape)
# [5]
print(conv.weight_v.shape)
# [5, 3, 3, 3]
>>> from paddle.nn import Conv2D
>>> from paddle.nn.utils import weight_norm

>>> conv = Conv2D(3, 5, 3)
>>> wn = weight_norm(conv)
>>> print(conv.weight_g.shape)
[5]
>>> print(conv.weight_v.shape)
[5, 3, 3, 3]
"""
WeightNorm.apply(layer, name, dim)
return layer
Expand All @@ -219,21 +219,20 @@ def remove_weight_norm(layer, name='weight'):
Examples:
.. code-block:: python

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)
>>> 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)
>>> print(conv.weight_g)
# AttributeError: 'Conv2D' object has no attribute 'weight_g'
"""
for k, hook in layer._forward_pre_hooks.items():
Expand Down