You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
177 lines
3.2 KiB
177 lines
3.2 KiB
type: "nn"
|
|
layers {
|
|
name: "image"
|
|
type: "data"
|
|
size: 65536
|
|
active_type: ""
|
|
}
|
|
layers {
|
|
name: "__conv_0__"
|
|
type: "exconv"
|
|
size: 3297856
|
|
active_type: ""
|
|
inputs {
|
|
input_layer_name: "image"
|
|
input_parameter_name: "___conv_0__.w0"
|
|
conv_conf {
|
|
filter_size: 32
|
|
channels: 1
|
|
stride: 1
|
|
padding: 1
|
|
groups: 1
|
|
filter_channels: 1
|
|
output_x: 227
|
|
img_size: 256
|
|
caffe_mode: true
|
|
filter_size_y: 32
|
|
padding_y: 1
|
|
stride_y: 1
|
|
}
|
|
}
|
|
bias_parameter_name: "___conv_0__.wbias"
|
|
num_filters: 64
|
|
shared_biases: true
|
|
}
|
|
layers {
|
|
name: "__batch_norm_0__"
|
|
type: "batch_norm"
|
|
size: 3297856
|
|
active_type: "relu"
|
|
inputs {
|
|
input_layer_name: "__conv_0__"
|
|
input_parameter_name: "___batch_norm_0__.w0"
|
|
image_conf {
|
|
channels: 64
|
|
img_size: 227
|
|
}
|
|
}
|
|
inputs {
|
|
input_layer_name: "__conv_0__"
|
|
input_parameter_name: "___batch_norm_0__.w1"
|
|
}
|
|
inputs {
|
|
input_layer_name: "__conv_0__"
|
|
input_parameter_name: "___batch_norm_0__.w2"
|
|
}
|
|
bias_parameter_name: "___batch_norm_0__.wbias"
|
|
moving_average_fraction: 0.899999976158
|
|
}
|
|
layers {
|
|
name: "__crmnorm_0__"
|
|
type: "norm"
|
|
size: 3297856
|
|
active_type: ""
|
|
inputs {
|
|
input_layer_name: "__batch_norm_0__"
|
|
norm_conf {
|
|
norm_type: "cmrnorm-projection"
|
|
channels: 64
|
|
size: 32
|
|
scale: 0.000399999989895
|
|
pow: 0.75
|
|
output_x: 227
|
|
img_size: 227
|
|
blocked: false
|
|
}
|
|
}
|
|
}
|
|
layers {
|
|
name: "__pool_0__"
|
|
type: "pool"
|
|
size: 2458624
|
|
active_type: ""
|
|
inputs {
|
|
input_layer_name: "__conv_0__"
|
|
pool_conf {
|
|
pool_type: "max-projection"
|
|
channels: 64
|
|
size_x: 32
|
|
stride: 1
|
|
output_x: 196
|
|
img_size: 227
|
|
padding: 0
|
|
size_y: 32
|
|
stride_y: 1
|
|
output_y: 196
|
|
img_size_y: 227
|
|
padding_y: 0
|
|
}
|
|
}
|
|
}
|
|
parameters {
|
|
name: "___conv_0__.w0"
|
|
size: 65536
|
|
initial_mean: 0.0
|
|
initial_std: 0.0441941730678
|
|
initial_strategy: 0
|
|
initial_smart: false
|
|
}
|
|
parameters {
|
|
name: "___conv_0__.wbias"
|
|
size: 64
|
|
initial_mean: 0.0
|
|
initial_std: 0.0
|
|
dims: 64
|
|
dims: 1
|
|
initial_strategy: 0
|
|
initial_smart: false
|
|
}
|
|
parameters {
|
|
name: "___batch_norm_0__.w0"
|
|
size: 64
|
|
initial_mean: 1.0
|
|
initial_std: 0.0
|
|
initial_strategy: 0
|
|
initial_smart: false
|
|
}
|
|
parameters {
|
|
name: "___batch_norm_0__.w1"
|
|
size: 64
|
|
initial_mean: 0.0
|
|
initial_std: 0.0
|
|
dims: 1
|
|
dims: 64
|
|
initial_strategy: 0
|
|
initial_smart: false
|
|
is_static: true
|
|
is_shared: true
|
|
}
|
|
parameters {
|
|
name: "___batch_norm_0__.w2"
|
|
size: 64
|
|
initial_mean: 0.0
|
|
initial_std: 0.0
|
|
dims: 1
|
|
dims: 64
|
|
initial_strategy: 0
|
|
initial_smart: false
|
|
is_static: true
|
|
is_shared: true
|
|
}
|
|
parameters {
|
|
name: "___batch_norm_0__.wbias"
|
|
size: 64
|
|
initial_mean: 0.0
|
|
initial_std: 0.0
|
|
dims: 1
|
|
dims: 64
|
|
initial_strategy: 0
|
|
initial_smart: false
|
|
}
|
|
input_layer_names: "image"
|
|
output_layer_names: "__pool_0__"
|
|
output_layer_names: "__crmnorm_0__"
|
|
sub_models {
|
|
name: "root"
|
|
layer_names: "image"
|
|
layer_names: "__conv_0__"
|
|
layer_names: "__batch_norm_0__"
|
|
layer_names: "__crmnorm_0__"
|
|
layer_names: "__pool_0__"
|
|
input_layer_names: "image"
|
|
output_layer_names: "__pool_0__"
|
|
output_layer_names: "__crmnorm_0__"
|
|
is_recurrent_layer_group: false
|
|
}
|
|
|