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1ca5cf77
编写于
10月 17, 2018
作者:
C
chengduozh
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fix simple_img_conv_pool
test=develop
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python/paddle/fluid/nets.py
python/paddle/fluid/nets.py
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python/paddle/fluid/nets.py
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@@ -78,8 +78,13 @@ def simple_img_conv_pool(input,
...
@@ -78,8 +78,13 @@ def simple_img_conv_pool(input,
the first half of the filters is only connected to the first half
the first half of the filters is only connected to the first half
of the input channels, while the second half of the filters is only
of the input channels, while the second half of the filters is only
connected to the second half of the input channels. Default: groups=1
connected to the second half of the input channels. Default: groups=1
param_attr (ParamAttr): The parameters to the Conv2d Layer. Default: None
param_attr (ParamAttr): The parameter attribute for learnable parameters/weights
bias_attr (ParamAttr): Bias parameter for the Conv2d layer. Default: None
of conv2d. If it is set to None, the parameter is initialized with
:math:`Normal(0.0, std)`, and the :math:`std` is :math:`(
\\
frac{2.0 }{filter\_elem\_num})^{0.5}`.
Default: None.
bias_attr (ParamAttr): The parameter attribute for the bias of conv2d.
If it is set to False, no bias will be added to the output units.
If it is set to None, the bias is initialized zero. Default: None.
act (str): Activation type for Conv2d. Default: None
act (str): Activation type for Conv2d. Default: None
use_cudnn (bool): Use cudnn kernel or not, it is valid only when the cudnn
use_cudnn (bool): Use cudnn kernel or not, it is valid only when the cudnn
library is installed. Default: True
library is installed. Default: True
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