clang-format

feature/design_of_v2_layer_converter
liaogang 8 years ago
parent ab0db1e77d
commit eef91cd811

@ -16,13 +16,17 @@
from paddle.trainer_config_helpers import *
settings(batch_size=10)
data = data_layer(name ="input", size=8*16*16)
conv = img_conv_layer(input=data, filter_size=1, filter_size_y=1,
num_channels=8,
num_filters=16, stride=1,
bias_attr=True,
act=LinearActivation(),
groups=2,
layer_type="cudnn_conv")
data = data_layer(name="input", size=8 * 16 * 16)
conv = img_conv_layer(
input=data,
filter_size=1,
filter_size_y=1,
num_channels=8,
num_filters=16,
stride=1,
bias_attr=True,
act=LinearActivation(),
groups=2,
layer_type="cudnn_conv")
outputs(conv)

@ -16,13 +16,17 @@
from paddle.trainer_config_helpers import *
settings(batch_size=10)
data = data_layer(name ="input", size=8*16*16)
conv = img_conv_layer(input=data, filter_size=1, filter_size_y=1,
num_channels=8,
num_filters=16, stride=1,
bias_attr=True,
act=LinearActivation(),
groups=2,
layer_type="exconv")
data = data_layer(name="input", size=8 * 16 * 16)
conv = img_conv_layer(
input=data,
filter_size=1,
filter_size_y=1,
num_channels=8,
num_filters=16,
stride=1,
bias_attr=True,
act=LinearActivation(),
groups=2,
layer_type="exconv")
outputs(conv)

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