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体验新版 GitCode,发现更多精彩内容 >>
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a4e1e127
编写于
8月 31, 2017
作者:
C
chengduoZH
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Add test_conv3d_layer.protostr,test_deconv3d_layer.protostr
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2e97045c
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2
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python/paddle/trainer_config_helpers/tests/configs/protostr/test_conv3d_layer.protostr
...helpers/tests/configs/protostr/test_conv3d_layer.protostr
+132
-0
python/paddle/trainer_config_helpers/tests/configs/protostr/test_deconv3d_layer.protostr
...lpers/tests/configs/protostr/test_deconv3d_layer.protostr
+132
-0
未找到文件。
python/paddle/trainer_config_helpers/tests/configs/protostr/test_conv3d_layer.protostr
0 → 100644
浏览文件 @
a4e1e127
type: "nn"
layers {
name: "data"
type: "data"
size: 36288
active_type: ""
height: 48
width: 42
depth: 6
}
layers {
name: "conv3d_1"
type: "conv3d"
size: 24192
active_type: ""
inputs {
input_layer_name: "data"
input_parameter_name: "_conv3d_1.w0"
conv_conf {
filter_size: 3
channels: 3
stride: 2
padding: 1
groups: 1
filter_channels: 3
output_x: 21
img_size: 42
caffe_mode: true
filter_size_y: 3
padding_y: 1
stride_y: 2
output_y: 24
img_size_y: 48
filter_size_z: 3
padding_z: 1
stride_z: 2
output_z: 3
img_size_z: 6
}
}
bias_parameter_name: "_conv3d_1.wbias"
num_filters: 16
shared_biases: true
height: 24
width: 21
depth: 3
}
layers {
name: "conv3d_2"
type: "conv3d"
size: 24192
active_type: ""
inputs {
input_layer_name: "data"
input_parameter_name: "_conv3d_2.w0"
conv_conf {
filter_size: 3
channels: 3
stride: 2
padding: 1
groups: 1
filter_channels: 3
output_x: 21
img_size: 42
caffe_mode: true
filter_size_y: 3
padding_y: 1
stride_y: 2
output_y: 24
img_size_y: 48
filter_size_z: 3
padding_z: 1
stride_z: 2
output_z: 3
img_size_z: 6
}
}
bias_parameter_name: "_conv3d_2.wbias"
num_filters: 16
shared_biases: true
height: 24
width: 21
depth: 3
}
parameters {
name: "_conv3d_1.w0"
size: 1296
initial_mean: 0.0
initial_std: 0.272165526976
initial_strategy: 0
initial_smart: false
}
parameters {
name: "_conv3d_1.wbias"
size: 16
initial_mean: 0.0
initial_std: 0.0
dims: 16
dims: 1
initial_strategy: 0
initial_smart: false
}
parameters {
name: "_conv3d_2.w0"
size: 1296
initial_mean: 0.0
initial_std: 0.272165526976
initial_strategy: 0
initial_smart: false
}
parameters {
name: "_conv3d_2.wbias"
size: 16
initial_mean: 0.0
initial_std: 0.0
dims: 16
dims: 1
initial_strategy: 0
initial_smart: false
}
input_layer_names: "data"
output_layer_names: "conv3d_2"
sub_models {
name: "root"
layer_names: "data"
layer_names: "conv3d_1"
layer_names: "conv3d_2"
input_layer_names: "data"
output_layer_names: "conv3d_2"
is_recurrent_layer_group: false
}
python/paddle/trainer_config_helpers/tests/configs/protostr/test_deconv3d_layer.protostr
0 → 100644
浏览文件 @
a4e1e127
type: "nn"
layers {
name: "data"
type: "data"
size: 36288
active_type: ""
height: 48
width: 42
depth: 6
}
layers {
name: "deconv3d_1"
type: "deconv3d"
size: 1387760
active_type: ""
inputs {
input_layer_name: "data"
input_parameter_name: "_deconv3d_1.w0"
conv_conf {
filter_size: 3
channels: 3
stride: 2
padding: 1
groups: 1
filter_channels: 16
output_x: 42
img_size: 83
caffe_mode: true
filter_size_y: 3
padding_y: 1
stride_y: 2
output_y: 48
img_size_y: 95
filter_size_z: 3
padding_z: 1
stride_z: 2
output_z: 6
img_size_z: 11
}
}
bias_parameter_name: "_deconv3d_1.wbias"
num_filters: 16
shared_biases: true
height: 95
width: 83
depth: 11
}
layers {
name: "deconv3d_2"
type: "deconv3d"
size: 1387760
active_type: ""
inputs {
input_layer_name: "data"
input_parameter_name: "_deconv3d_2.w0"
conv_conf {
filter_size: 3
channels: 3
stride: 2
padding: 1
groups: 1
filter_channels: 16
output_x: 42
img_size: 83
caffe_mode: true
filter_size_y: 3
padding_y: 1
stride_y: 2
output_y: 48
img_size_y: 95
filter_size_z: 3
padding_z: 1
stride_z: 2
output_z: 6
img_size_z: 11
}
}
bias_parameter_name: "_deconv3d_2.wbias"
num_filters: 16
shared_biases: true
height: 95
width: 83
depth: 11
}
parameters {
name: "_deconv3d_1.w0"
size: 6912
initial_mean: 0.0
initial_std: 0.272165526976
initial_strategy: 0
initial_smart: false
}
parameters {
name: "_deconv3d_1.wbias"
size: 16
initial_mean: 0.0
initial_std: 0.0
dims: 16
dims: 1
initial_strategy: 0
initial_smart: false
}
parameters {
name: "_deconv3d_2.w0"
size: 6912
initial_mean: 0.0
initial_std: 0.272165526976
initial_strategy: 0
initial_smart: false
}
parameters {
name: "_deconv3d_2.wbias"
size: 16
initial_mean: 0.0
initial_std: 0.0
dims: 16
dims: 1
initial_strategy: 0
initial_smart: false
}
input_layer_names: "data"
output_layer_names: "deconv3d_2"
sub_models {
name: "root"
layer_names: "data"
layer_names: "deconv3d_1"
layer_names: "deconv3d_2"
input_layer_names: "data"
output_layer_names: "deconv3d_2"
is_recurrent_layer_group: false
}
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