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232c4e3b
编写于
10月 27, 2020
作者:
C
cnn
提交者:
GitHub
10月 27, 2020
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差异文件
fix sample code of reduce_all and reduce_any, test=document_fix (#28237)
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344c5213
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1
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-12
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+12
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python/paddle/fluid/layers/nn.py
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232c4e3b
...
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@@ -4717,15 +4717,15 @@ def reduce_all(input, dim=None, keep_dim=False, name=None):
# x is a bool Tensor variable with following elements:
# [[True, False]
# [True, True]]
x =
paddle
.assign(np.array([[1, 0], [1, 1]], dtype='int32'))
x =
paddle
.cast(x, 'bool')
x =
fluid.layers
.assign(np.array([[1, 0], [1, 1]], dtype='int32'))
x =
fluid.layers
.cast(x, 'bool')
out =
paddle
.reduce_all(x) # False
out =
paddle
.reduce_all(x, dim=0) # [True, False]
out =
paddle
.reduce_all(x, dim=-1) # [False, True]
out =
fluid.layers
.reduce_all(x) # False
out =
fluid.layers
.reduce_all(x, dim=0) # [True, False]
out =
fluid.layers
.reduce_all(x, dim=-1) # [False, True]
# keep_dim=False, x.shape=(2,2), out.shape=(2,)
out =
paddle
.reduce_all(x, dim=1, keep_dim=True) # [[False], [True]]
out =
fluid.layers
.reduce_all(x, dim=1, keep_dim=True) # [[False], [True]]
# keep_dim=True, x.shape=(2,2), out.shape=(2,1)
"""
...
...
@@ -4777,15 +4777,15 @@ def reduce_any(input, dim=None, keep_dim=False, name=None):
# x is a bool Tensor variable with following elements:
# [[True, False]
# [False, False]]
x =
paddle
.assign(np.array([[1, 0], [0, 0]], dtype='int32'))
x =
paddle
.cast(x, 'bool')
x =
fluid.layers
.assign(np.array([[1, 0], [0, 0]], dtype='int32'))
x =
fluid.layers
.cast(x, 'bool')
out =
paddle
.reduce_any(x) # True
out =
paddle
.reduce_any(x, dim=0) # [True, False]
out =
paddle
.reduce_any(x, dim=-1) # [True, False]
out =
fluid.layers
.reduce_any(x) # True
out =
fluid.layers
.reduce_any(x, dim=0) # [True, False]
out =
fluid.layers
.reduce_any(x, dim=-1) # [True, False]
# keep_dim=False, x.shape=(2,2), out.shape=(2,)
out =
paddle
.reduce_any(x, dim=1,
out =
fluid.layers
.reduce_any(x, dim=1,
keep_dim=True) # [[True], [False]]
# keep_dim=True, x.shape=(2,2), out.shape=(2,1)
...
...
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