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Fix api for ErrorClipByValue, code demo of clip_by_norm. test=develop #27654

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Sep 30, 2020
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Fix api for ErrorClipByValue, code demo of clip_by_norm. test=develop #27654

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a440c7c
Fix api for ErrorClipByValue. test=develop
ysh329 Sep 28, 2020
c717f70
fix code demo of clip_by_norm. test=develop
ysh329 Sep 28, 2020
b7972d5
test=develop
ysh329 Sep 29, 2020
1eb12cc
Fix ErrorClipByValue api and demo code of clip_by_value. test=develop
tianshuo78520a Sep 29, 2020
67db784
Merge branch 'fix-error-clip-by-value' of https://github.com/ysh329/P…
ysh329 Sep 29, 2020
8c5c3eb
Fix ErrorClipByValue and demo code of clip_by_value. test=develop
tianshuo78520a Sep 29, 2020
3254e65
Merge branch 'fix-error-clip-by-value' of https://github.com/ysh329/P…
ysh329 Sep 29, 2020
c0d399d
test=develop
ysh329 Sep 29, 2020
7046180
test=develop
ysh329 Sep 29, 2020
b8ffe07
test=develop
ysh329 Sep 29, 2020
dd5c6ef
test=develop
ysh329 Sep 29, 2020
2adabb5
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ysh329 Sep 29, 2020
005c81f
test=develop
ysh329 Sep 30, 2020
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13 changes: 9 additions & 4 deletions python/paddle/fluid/layers/nn.py
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Expand Up @@ -12413,12 +12413,17 @@ def clip_by_norm(x, max_norm, name=None):
Examples:
.. code-block:: python

import paddle.fluid as fluid
input = fluid.data(
name='data', shape=[None, 1], dtype='float32')
reward = fluid.layers.clip_by_norm(x=input, max_norm=1.0)
import paddle
import numpy as np

paddle.disable_static()
input = paddle.to_tensor(data=np.array([[0.1, 0.2], [0.3, 0.4]]), dtype="float32")
reward = paddle.nn.clip_by_norm(x=input, max_norm=1.0)
"""

if in_dygraph_mode():
return core.ops.clip_by_norm(x, 'max_norm', max_norm)

helper = LayerHelper("clip_by_norm", **locals())
check_variable_and_dtype(x, 'X', ['float32'], 'clip_by_norm')
check_type(max_norm, 'max_norm', (float), 'clip_by_norm')
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1 change: 0 additions & 1 deletion python/paddle/nn/__init__.py
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Expand Up @@ -31,7 +31,6 @@
__all__ += weight_norm_hook.__all__

# TODO: define alias in nn directory
# from .clip import ErrorClipByValue #DEFINE_ALIAS
from .clip import GradientClipByGlobalNorm #DEFINE_ALIAS
from .clip import GradientClipByNorm #DEFINE_ALIAS
from .clip import GradientClipByValue #DEFINE_ALIAS
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