name: "shufflenet_v2"
input: "data"
input_shape {
dim: 1
dim: 3
dim: 224
dim: 224
}
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
convolution_param {
num_output: 24
pad: 1
kernel_size: 3
stride: 2
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1_bn"
type: "BatchNorm"
bottom: "conv1"
top: "conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv1_scale"
bottom: "conv1"
top: "conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv1_relu"
type: "ReLU"
bottom: "conv1"
top: "conv1"
}
layer {
name: "pool1"
type: "Pooling"
bottom: "conv1"
top: "pool1"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "branch1_1_conv1"
type: "ConvolutionDepthwise"
bottom: "pool1"
top: "branch1_1_conv1"
convolution_param {
num_output: 24
kernel_size: 3
stride: 2
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch1_1_conv1_bn"
type: "BatchNorm"
bottom: "branch1_1_conv1"
top: "branch1_1_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch1_1_conv1_scale"
bottom: "branch1_1_conv1"
top: "branch1_1_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch1_1_conv2"
type: "Convolution"
bottom: "branch1_1_conv1"
top: "branch1_1_conv2"
convolution_param {
num_output: 58
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch1_1_conv2_bn"
type: "BatchNorm"
bottom: "branch1_1_conv2"
top: "branch1_1_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch1_1_conv2_scale"
bottom: "branch1_1_conv2"
top: "branch1_1_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch1_1_conv2_relu"
type: "ReLU"
bottom: "branch1_1_conv2"
top: "branch1_1_conv2"
}
layer {
name: "branch1_2_conv1"
type: "Convolution"
bottom: "pool1"
top: "branch1_2_conv1"
convolution_param {
num_output: 58
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch1_2_conv1_bn"
type: "BatchNorm"
bottom: "branch1_2_conv1"
top: "branch1_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch1_2_conv1_scale"
bottom: "branch1_2_conv1"
top: "branch1_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch1_2_conv1_relu"
type: "ReLU"
bottom: "branch1_2_conv1"
top: "branch1_2_conv1"
}
layer {
name: "branch1_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch1_2_conv1"
top: "branch1_2_conv2"
convolution_param {
num_output: 58
kernel_size: 3
stride: 2
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch1_2_conv2_bn"
type: "BatchNorm"
bottom: "branch1_2_conv2"
top: "branch1_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch1_2_conv2_scale"
bottom: "branch1_2_conv2"
top: "branch1_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch1_2_conv3"
type: "Convolution"
bottom: "branch1_2_conv2"
top: "branch1_2_conv3"
convolution_param {
num_output: 58
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch1_2_conv3_bn"
type: "BatchNorm"
bottom: "branch1_2_conv3"
top: "branch1_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch1_2_conv3_scale"
bottom: "branch1_2_conv3"
top: "branch1_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch1_2_conv3_relu"
type: "ReLU"
bottom: "branch1_2_conv3"
top: "branch1_2_conv3"
}
layer {
name: "concat1"
type: "Concat"
bottom: "branch1_1_conv2"
bottom: "branch1_2_conv3"
top: "concat1"
}
layer {
name: "shuffle1"
type: "ShuffleChannel"
bottom: "concat1"
top: "shuffle1"
shuffle_channel_param {
group: 2
}
}
layer {
name: "slice2"
type: "Slice"
bottom: "shuffle1"
top: "branch2_1"
top: "branch2_2"
slice_param {
slice_point: 58
axis: 1
}
}
layer {
name: "branch2_2_conv1"
type: "Convolution"
bottom: "branch2_2"
top: "branch2_2_conv1"
convolution_param {
num_output: 58
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch2_2_conv1_bn"
type: "BatchNorm"
bottom: "branch2_2_conv1"
top: "branch2_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch2_2_conv1_scale"
bottom: "branch2_2_conv1"
top: "branch2_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch2_2_conv1_relu"
type: "ReLU"
bottom: "branch2_2_conv1"
top: "branch2_2_conv1"
}
layer {
name: "branch2_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch2_2_conv1"
top: "branch2_2_conv2"
convolution_param {
num_output: 58
kernel_size: 3
stride: 1
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch2_2_conv2_bn"
type: "BatchNorm"
bottom: "branch2_2_conv2"
top: "branch2_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch2_2_conv2_scale"
bottom: "branch2_2_conv2"
top: "branch2_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch2_2_conv3"
type: "Convolution"
bottom: "branch2_2_conv2"
top: "branch2_2_conv3"
convolution_param {
num_output: 58
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch2_2_conv3_bn"
type: "BatchNorm"
bottom: "branch2_2_conv3"
top: "branch2_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch2_2_conv3_scale"
bottom: "branch2_2_conv3"
top: "branch2_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch2_2_conv3_relu"
type: "ReLU"
bottom: "branch2_2_conv3"
top: "branch2_2_conv3"
}
layer {
name: "concat2"
type: "Concat"
bottom: "branch2_1"
bottom: "branch2_2_conv3"
top: "concat2"
}
layer {
name: "shuffle2"
type: "ShuffleChannel"
bottom: "concat2"
top: "shuffle2"
shuffle_channel_param {
group: 2
}
}
layer {
name: "slice3"
type: "Slice"
bottom: "shuffle2"
top: "branch3_1"
top: "branch3_2"
slice_param {
slice_point: 58
axis: 1
}
}
layer {
name: "branch3_2_conv1"
type: "Convolution"
bottom: "branch3_2"
top: "branch3_2_conv1"
convolution_param {
num_output: 58
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch3_2_conv1_bn"
type: "BatchNorm"
bottom: "branch3_2_conv1"
top: "branch3_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch3_2_conv1_scale"
bottom: "branch3_2_conv1"
top: "branch3_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch3_2_conv1_relu"
type: "ReLU"
bottom: "branch3_2_conv1"
top: "branch3_2_conv1"
}
layer {
name: "branch3_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch3_2_conv1"
top: "branch3_2_conv2"
convolution_param {
num_output: 58
kernel_size: 3
stride: 1
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch3_2_conv2_bn"
type: "BatchNorm"
bottom: "branch3_2_conv2"
top: "branch3_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch3_2_conv2_scale"
bottom: "branch3_2_conv2"
top: "branch3_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch3_2_conv3"
type: "Convolution"
bottom: "branch3_2_conv2"
top: "branch3_2_conv3"
convolution_param {
num_output: 58
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch3_2_conv3_bn"
type: "BatchNorm"
bottom: "branch3_2_conv3"
top: "branch3_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch3_2_conv3_scale"
bottom: "branch3_2_conv3"
top: "branch3_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch3_2_conv3_relu"
type: "ReLU"
bottom: "branch3_2_conv3"
top: "branch3_2_conv3"
}
layer {
name: "concat3"
type: "Concat"
bottom: "branch3_1"
bottom: "branch3_2_conv3"
top: "concat3"
}
layer {
name: "shuffle3"
type: "ShuffleChannel"
bottom: "concat3"
top: "shuffle3"
shuffle_channel_param {
group: 2
}
}
layer {
name: "slice4"
type: "Slice"
bottom: "shuffle3"
top: "branch4_1"
top: "branch4_2"
slice_param {
slice_point: 58
axis: 1
}
}
layer {
name: "branch4_2_conv1"
type: "Convolution"
bottom: "branch4_2"
top: "branch4_2_conv1"
convolution_param {
num_output: 58
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch4_2_conv1_bn"
type: "BatchNorm"
bottom: "branch4_2_conv1"
top: "branch4_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch4_2_conv1_scale"
bottom: "branch4_2_conv1"
top: "branch4_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch4_2_conv1_relu"
type: "ReLU"
bottom: "branch4_2_conv1"
top: "branch4_2_conv1"
}
layer {
name: "branch4_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch4_2_conv1"
top: "branch4_2_conv2"
convolution_param {
num_output: 58
kernel_size: 3
stride: 1
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch4_2_conv2_bn"
type: "BatchNorm"
bottom: "branch4_2_conv2"
top: "branch4_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch4_2_conv2_scale"
bottom: "branch4_2_conv2"
top: "branch4_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch4_2_conv3"
type: "Convolution"
bottom: "branch4_2_conv2"
top: "branch4_2_conv3"
convolution_param {
num_output: 58
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch4_2_conv3_bn"
type: "BatchNorm"
bottom: "branch4_2_conv3"
top: "branch4_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch4_2_conv3_scale"
bottom: "branch4_2_conv3"
top: "branch4_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch4_2_conv3_relu"
type: "ReLU"
bottom: "branch4_2_conv3"
top: "branch4_2_conv3"
}
layer {
name: "concat4"
type: "Concat"
bottom: "branch4_1"
bottom: "branch4_2_conv3"
top: "concat4"
}
layer {
name: "shuffle4"
type: "ShuffleChannel"
bottom: "concat4"
top: "shuffle4"
shuffle_channel_param {
group: 2
}
}
layer {
name: "branch5_1_conv1"
type: "ConvolutionDepthwise"
bottom: "shuffle4"
top: "branch5_1_conv1"
convolution_param {
num_output: 116
kernel_size: 3
stride: 2
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch5_1_conv1_bn"
type: "BatchNorm"
bottom: "branch5_1_conv1"
top: "branch5_1_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch5_1_conv1_scale"
bottom: "branch5_1_conv1"
top: "branch5_1_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch5_1_conv2"
type: "Convolution"
bottom: "branch5_1_conv1"
top: "branch5_1_conv2"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch5_1_conv2_bn"
type: "BatchNorm"
bottom: "branch5_1_conv2"
top: "branch5_1_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch5_1_conv2_scale"
bottom: "branch5_1_conv2"
top: "branch5_1_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch5_1_conv2_relu"
type: "ReLU"
bottom: "branch5_1_conv2"
top: "branch5_1_conv2"
}
layer {
name: "branch5_2_conv1"
type: "Convolution"
bottom: "shuffle4"
top: "branch5_2_conv1"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch5_2_conv1_bn"
type: "BatchNorm"
bottom: "branch5_2_conv1"
top: "branch5_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch5_2_conv1_scale"
bottom: "branch5_2_conv1"
top: "branch5_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch5_2_conv1_relu"
type: "ReLU"
bottom: "branch5_2_conv1"
top: "branch5_2_conv1"
}
layer {
name: "branch5_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch5_2_conv1"
top: "branch5_2_conv2"
convolution_param {
num_output: 116
kernel_size: 3
stride: 2
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch5_2_conv2_bn"
type: "BatchNorm"
bottom: "branch5_2_conv2"
top: "branch5_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch5_2_conv2_scale"
bottom: "branch5_2_conv2"
top: "branch5_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch5_2_conv3"
type: "Convolution"
bottom: "branch5_2_conv2"
top: "branch5_2_conv3"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch5_2_conv3_bn"
type: "BatchNorm"
bottom: "branch5_2_conv3"
top: "branch5_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch5_2_conv3_scale"
bottom: "branch5_2_conv3"
top: "branch5_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch5_2_conv3_relu"
type: "ReLU"
bottom: "branch5_2_conv3"
top: "branch5_2_conv3"
}
layer {
name: "concat5"
type: "Concat"
bottom: "branch5_1_conv2"
bottom: "branch5_2_conv3"
top: "concat5"
}
layer {
name: "shuffle5"
type: "ShuffleChannel"
bottom: "concat5"
top: "shuffle5"
shuffle_channel_param {
group: 2
}
}
layer {
name: "slice6"
type: "Slice"
bottom: "shuffle5"
top: "branch6_1"
top: "branch6_2"
slice_param {
slice_point: 116
axis: 1
}
}
layer {
name: "branch6_2_conv1"
type: "Convolution"
bottom: "branch6_2"
top: "branch6_2_conv1"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch6_2_conv1_bn"
type: "BatchNorm"
bottom: "branch6_2_conv1"
top: "branch6_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch6_2_conv1_scale"
bottom: "branch6_2_conv1"
top: "branch6_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch6_2_conv1_relu"
type: "ReLU"
bottom: "branch6_2_conv1"
top: "branch6_2_conv1"
}
layer {
name: "branch6_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch6_2_conv1"
top: "branch6_2_conv2"
convolution_param {
num_output: 116
kernel_size: 3
stride: 1
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch6_2_conv2_bn"
type: "BatchNorm"
bottom: "branch6_2_conv2"
top: "branch6_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch6_2_conv2_scale"
bottom: "branch6_2_conv2"
top: "branch6_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch6_2_conv3"
type: "Convolution"
bottom: "branch6_2_conv2"
top: "branch6_2_conv3"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch6_2_conv3_bn"
type: "BatchNorm"
bottom: "branch6_2_conv3"
top: "branch6_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch6_2_conv3_scale"
bottom: "branch6_2_conv3"
top: "branch6_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch6_2_conv3_relu"
type: "ReLU"
bottom: "branch6_2_conv3"
top: "branch6_2_conv3"
}
layer {
name: "concat6"
type: "Concat"
bottom: "branch6_1"
bottom: "branch6_2_conv3"
top: "concat6"
}
layer {
name: "shuffle6"
type: "ShuffleChannel"
bottom: "concat6"
top: "shuffle6"
shuffle_channel_param {
group: 2
}
}
layer {
name: "slice7"
type: "Slice"
bottom: "shuffle6"
top: "branch7_1"
top: "branch7_2"
slice_param {
slice_point: 116
axis: 1
}
}
layer {
name: "branch7_2_conv1"
type: "Convolution"
bottom: "branch7_2"
top: "branch7_2_conv1"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch7_2_conv1_bn"
type: "BatchNorm"
bottom: "branch7_2_conv1"
top: "branch7_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch7_2_conv1_scale"
bottom: "branch7_2_conv1"
top: "branch7_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch7_2_conv1_relu"
type: "ReLU"
bottom: "branch7_2_conv1"
top: "branch7_2_conv1"
}
layer {
name: "branch7_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch7_2_conv1"
top: "branch7_2_conv2"
convolution_param {
num_output: 116
kernel_size: 3
stride: 1
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch7_2_conv2_bn"
type: "BatchNorm"
bottom: "branch7_2_conv2"
top: "branch7_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch7_2_conv2_scale"
bottom: "branch7_2_conv2"
top: "branch7_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch7_2_conv3"
type: "Convolution"
bottom: "branch7_2_conv2"
top: "branch7_2_conv3"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch7_2_conv3_bn"
type: "BatchNorm"
bottom: "branch7_2_conv3"
top: "branch7_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch7_2_conv3_scale"
bottom: "branch7_2_conv3"
top: "branch7_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch7_2_conv3_relu"
type: "ReLU"
bottom: "branch7_2_conv3"
top: "branch7_2_conv3"
}
layer {
name: "concat7"
type: "Concat"
bottom: "branch7_1"
bottom: "branch7_2_conv3"
top: "concat7"
}
layer {
name: "shuffle7"
type: "ShuffleChannel"
bottom: "concat7"
top: "shuffle7"
shuffle_channel_param {
group: 2
}
}
layer {
name: "slice8"
type: "Slice"
bottom: "shuffle7"
top: "branch8_1"
top: "branch8_2"
slice_param {
slice_point: 116
axis: 1
}
}
layer {
name: "branch8_2_conv1"
type: "Convolution"
bottom: "branch8_2"
top: "branch8_2_conv1"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch8_2_conv1_bn"
type: "BatchNorm"
bottom: "branch8_2_conv1"
top: "branch8_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch8_2_conv1_scale"
bottom: "branch8_2_conv1"
top: "branch8_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch8_2_conv1_relu"
type: "ReLU"
bottom: "branch8_2_conv1"
top: "branch8_2_conv1"
}
layer {
name: "branch8_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch8_2_conv1"
top: "branch8_2_conv2"
convolution_param {
num_output: 116
kernel_size: 3
stride: 1
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch8_2_conv2_bn"
type: "BatchNorm"
bottom: "branch8_2_conv2"
top: "branch8_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch8_2_conv2_scale"
bottom: "branch8_2_conv2"
top: "branch8_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch8_2_conv3"
type: "Convolution"
bottom: "branch8_2_conv2"
top: "branch8_2_conv3"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch8_2_conv3_bn"
type: "BatchNorm"
bottom: "branch8_2_conv3"
top: "branch8_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch8_2_conv3_scale"
bottom: "branch8_2_conv3"
top: "branch8_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch8_2_conv3_relu"
type: "ReLU"
bottom: "branch8_2_conv3"
top: "branch8_2_conv3"
}
layer {
name: "concat8"
type: "Concat"
bottom: "branch8_1"
bottom: "branch8_2_conv3"
top: "concat8"
}
layer {
name: "shuffle8"
type: "ShuffleChannel"
bottom: "concat8"
top: "shuffle8"
shuffle_channel_param {
group: 2
}
}
layer {
name: "slice9"
type: "Slice"
bottom: "shuffle8"
top: "branch9_1"
top: "branch9_2"
slice_param {
slice_point: 116
axis: 1
}
}
layer {
name: "branch9_2_conv1"
type: "Convolution"
bottom: "branch9_2"
top: "branch9_2_conv1"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch9_2_conv1_bn"
type: "BatchNorm"
bottom: "branch9_2_conv1"
top: "branch9_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch9_2_conv1_scale"
bottom: "branch9_2_conv1"
top: "branch9_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch9_2_conv1_relu"
type: "ReLU"
bottom: "branch9_2_conv1"
top: "branch9_2_conv1"
}
layer {
name: "branch9_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch9_2_conv1"
top: "branch9_2_conv2"
convolution_param {
num_output: 116
kernel_size: 3
stride: 1
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch9_2_conv2_bn"
type: "BatchNorm"
bottom: "branch9_2_conv2"
top: "branch9_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch9_2_conv2_scale"
bottom: "branch9_2_conv2"
top: "branch9_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch9_2_conv3"
type: "Convolution"
bottom: "branch9_2_conv2"
top: "branch9_2_conv3"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch9_2_conv3_bn"
type: "BatchNorm"
bottom: "branch9_2_conv3"
top: "branch9_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch9_2_conv3_scale"
bottom: "branch9_2_conv3"
top: "branch9_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch9_2_conv3_relu"
type: "ReLU"
bottom: "branch9_2_conv3"
top: "branch9_2_conv3"
}
layer {
name: "concat9"
type: "Concat"
bottom: "branch9_1"
bottom: "branch9_2_conv3"
top: "concat9"
}
layer {
name: "shuffle9"
type: "ShuffleChannel"
bottom: "concat9"
top: "shuffle9"
shuffle_channel_param {
group: 2
}
}
layer {
name: "slice10"
type: "Slice"
bottom: "shuffle9"
top: "branch10_1"
top: "branch10_2"
slice_param {
slice_point: 116
axis: 1
}
}
layer {
name: "branch10_2_conv1"
type: "Convolution"
bottom: "branch10_2"
top: "branch10_2_conv1"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch10_2_conv1_bn"
type: "BatchNorm"
bottom: "branch10_2_conv1"
top: "branch10_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch10_2_conv1_scale"
bottom: "branch10_2_conv1"
top: "branch10_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch10_2_conv1_relu"
type: "ReLU"
bottom: "branch10_2_conv1"
top: "branch10_2_conv1"
}
layer {
name: "branch10_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch10_2_conv1"
top: "branch10_2_conv2"
convolution_param {
num_output: 116
kernel_size: 3
stride: 1
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch10_2_conv2_bn"
type: "BatchNorm"
bottom: "branch10_2_conv2"
top: "branch10_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch10_2_conv2_scale"
bottom: "branch10_2_conv2"
top: "branch10_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch10_2_conv3"
type: "Convolution"
bottom: "branch10_2_conv2"
top: "branch10_2_conv3"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch10_2_conv3_bn"
type: "BatchNorm"
bottom: "branch10_2_conv3"
top: "branch10_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch10_2_conv3_scale"
bottom: "branch10_2_conv3"
top: "branch10_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch10_2_conv3_relu"
type: "ReLU"
bottom: "branch10_2_conv3"
top: "branch10_2_conv3"
}
layer {
name: "concat10"
type: "Concat"
bottom: "branch10_1"
bottom: "branch10_2_conv3"
top: "concat10"
}
layer {
name: "shuffle10"
type: "ShuffleChannel"
bottom: "concat10"
top: "shuffle10"
shuffle_channel_param {
group: 2
}
}
layer {
name: "slice11"
type: "Slice"
bottom: "shuffle10"
top: "branch11_1"
top: "branch11_2"
slice_param {
slice_point: 116
axis: 1
}
}
layer {
name: "branch11_2_conv1"
type: "Convolution"
bottom: "branch11_2"
top: "branch11_2_conv1"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch11_2_conv1_bn"
type: "BatchNorm"
bottom: "branch11_2_conv1"
top: "branch11_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch11_2_conv1_scale"
bottom: "branch11_2_conv1"
top: "branch11_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch11_2_conv1_relu"
type: "ReLU"
bottom: "branch11_2_conv1"
top: "branch11_2_conv1"
}
layer {
name: "branch11_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch11_2_conv1"
top: "branch11_2_conv2"
convolution_param {
num_output: 116
kernel_size: 3
stride: 1
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch11_2_conv2_bn"
type: "BatchNorm"
bottom: "branch11_2_conv2"
top: "branch11_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch11_2_conv2_scale"
bottom: "branch11_2_conv2"
top: "branch11_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch11_2_conv3"
type: "Convolution"
bottom: "branch11_2_conv2"
top: "branch11_2_conv3"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch11_2_conv3_bn"
type: "BatchNorm"
bottom: "branch11_2_conv3"
top: "branch11_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch11_2_conv3_scale"
bottom: "branch11_2_conv3"
top: "branch11_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch11_2_conv3_relu"
type: "ReLU"
bottom: "branch11_2_conv3"
top: "branch11_2_conv3"
}
layer {
name: "concat11"
type: "Concat"
bottom: "branch11_1"
bottom: "branch11_2_conv3"
top: "concat11"
}
layer {
name: "shuffle11"
type: "ShuffleChannel"
bottom: "concat11"
top: "shuffle11"
shuffle_channel_param {
group: 2
}
}
layer {
name: "slice12"
type: "Slice"
bottom: "shuffle11"
top: "branch12_1"
top: "branch12_2"
slice_param {
slice_point: 116
axis: 1
}
}
layer {
name: "branch12_2_conv1"
type: "Convolution"
bottom: "branch12_2"
top: "branch12_2_conv1"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch12_2_conv1_bn"
type: "BatchNorm"
bottom: "branch12_2_conv1"
top: "branch12_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch12_2_conv1_scale"
bottom: "branch12_2_conv1"
top: "branch12_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch12_2_conv1_relu"
type: "ReLU"
bottom: "branch12_2_conv1"
top: "branch12_2_conv1"
}
layer {
name: "branch12_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch12_2_conv1"
top: "branch12_2_conv2"
convolution_param {
num_output: 116
kernel_size: 3
stride: 1
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch12_2_conv2_bn"
type: "BatchNorm"
bottom: "branch12_2_conv2"
top: "branch12_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch12_2_conv2_scale"
bottom: "branch12_2_conv2"
top: "branch12_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch12_2_conv3"
type: "Convolution"
bottom: "branch12_2_conv2"
top: "branch12_2_conv3"
convolution_param {
num_output: 116
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch12_2_conv3_bn"
type: "BatchNorm"
bottom: "branch12_2_conv3"
top: "branch12_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch12_2_conv3_scale"
bottom: "branch12_2_conv3"
top: "branch12_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch12_2_conv3_relu"
type: "ReLU"
bottom: "branch12_2_conv3"
top: "branch12_2_conv3"
}
layer {
name: "concat12"
type: "Concat"
bottom: "branch12_1"
bottom: "branch12_2_conv3"
top: "concat12"
}
layer {
name: "shuffle12"
type: "ShuffleChannel"
bottom: "concat12"
top: "shuffle12"
shuffle_channel_param {
group: 2
}
}
layer {
name: "branch13_1_conv1"
type: "ConvolutionDepthwise"
bottom: "shuffle12"
top: "branch13_1_conv1"
convolution_param {
num_output: 232
kernel_size: 3
stride: 2
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch13_1_conv1_bn"
type: "BatchNorm"
bottom: "branch13_1_conv1"
top: "branch13_1_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch13_1_conv1_scale"
bottom: "branch13_1_conv1"
top: "branch13_1_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch13_1_conv2"
type: "Convolution"
bottom: "branch13_1_conv1"
top: "branch13_1_conv2"
convolution_param {
num_output: 232
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch13_1_conv2_bn"
type: "BatchNorm"
bottom: "branch13_1_conv2"
top: "branch13_1_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch13_1_conv2_scale"
bottom: "branch13_1_conv2"
top: "branch13_1_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch13_1_conv2_relu"
type: "ReLU"
bottom: "branch13_1_conv2"
top: "branch13_1_conv2"
}
layer {
name: "branch13_2_conv1"
type: "Convolution"
bottom: "shuffle12"
top: "branch13_2_conv1"
convolution_param {
num_output: 232
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch13_2_conv1_bn"
type: "BatchNorm"
bottom: "branch13_2_conv1"
top: "branch13_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch13_2_conv1_scale"
bottom: "branch13_2_conv1"
top: "branch13_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch13_2_conv1_relu"
type: "ReLU"
bottom: "branch13_2_conv1"
top: "branch13_2_conv1"
}
layer {
name: "branch13_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch13_2_conv1"
top: "branch13_2_conv2"
convolution_param {
num_output: 232
kernel_size: 3
stride: 2
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch13_2_conv2_bn"
type: "BatchNorm"
bottom: "branch13_2_conv2"
top: "branch13_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch13_2_conv2_scale"
bottom: "branch13_2_conv2"
top: "branch13_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch13_2_conv3"
type: "Convolution"
bottom: "branch13_2_conv2"
top: "branch13_2_conv3"
convolution_param {
num_output: 232
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch13_2_conv3_bn"
type: "BatchNorm"
bottom: "branch13_2_conv3"
top: "branch13_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch13_2_conv3_scale"
bottom: "branch13_2_conv3"
top: "branch13_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch13_2_conv3_relu"
type: "ReLU"
bottom: "branch13_2_conv3"
top: "branch13_2_conv3"
}
layer {
name: "concat13"
type: "Concat"
bottom: "branch13_1_conv2"
bottom: "branch13_2_conv3"
top: "concat13"
}
layer {
name: "shuffle13"
type: "ShuffleChannel"
bottom: "concat13"
top: "shuffle13"
shuffle_channel_param {
group: 2
}
}
layer {
name: "slice14"
type: "Slice"
bottom: "shuffle13"
top: "branch14_1"
top: "branch14_2"
slice_param {
slice_point: 232
axis: 1
}
}
layer {
name: "branch14_2_conv1"
type: "Convolution"
bottom: "branch14_2"
top: "branch14_2_conv1"
convolution_param {
num_output: 232
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch14_2_conv1_bn"
type: "BatchNorm"
bottom: "branch14_2_conv1"
top: "branch14_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch14_2_conv1_scale"
bottom: "branch14_2_conv1"
top: "branch14_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch14_2_conv1_relu"
type: "ReLU"
bottom: "branch14_2_conv1"
top: "branch14_2_conv1"
}
layer {
name: "branch14_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch14_2_conv1"
top: "branch14_2_conv2"
convolution_param {
num_output: 232
kernel_size: 3
stride: 1
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch14_2_conv2_bn"
type: "BatchNorm"
bottom: "branch14_2_conv2"
top: "branch14_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch14_2_conv2_scale"
bottom: "branch14_2_conv2"
top: "branch14_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch14_2_conv3"
type: "Convolution"
bottom: "branch14_2_conv2"
top: "branch14_2_conv3"
convolution_param {
num_output: 232
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch14_2_conv3_bn"
type: "BatchNorm"
bottom: "branch14_2_conv3"
top: "branch14_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch14_2_conv3_scale"
bottom: "branch14_2_conv3"
top: "branch14_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch14_2_conv3_relu"
type: "ReLU"
bottom: "branch14_2_conv3"
top: "branch14_2_conv3"
}
layer {
name: "concat14"
type: "Concat"
bottom: "branch14_1"
bottom: "branch14_2_conv3"
top: "concat14"
}
layer {
name: "shuffle14"
type: "ShuffleChannel"
bottom: "concat14"
top: "shuffle14"
shuffle_channel_param {
group: 2
}
}
layer {
name: "slice15"
type: "Slice"
bottom: "shuffle14"
top: "branch15_1"
top: "branch15_2"
slice_param {
slice_point: 232
axis: 1
}
}
layer {
name: "branch15_2_conv1"
type: "Convolution"
bottom: "branch15_2"
top: "branch15_2_conv1"
convolution_param {
num_output: 232
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch15_2_conv1_bn"
type: "BatchNorm"
bottom: "branch15_2_conv1"
top: "branch15_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch15_2_conv1_scale"
bottom: "branch15_2_conv1"
top: "branch15_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch15_2_conv1_relu"
type: "ReLU"
bottom: "branch15_2_conv1"
top: "branch15_2_conv1"
}
layer {
name: "branch15_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch15_2_conv1"
top: "branch15_2_conv2"
convolution_param {
num_output: 232
kernel_size: 3
stride: 1
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch15_2_conv2_bn"
type: "BatchNorm"
bottom: "branch15_2_conv2"
top: "branch15_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch15_2_conv2_scale"
bottom: "branch15_2_conv2"
top: "branch15_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch15_2_conv3"
type: "Convolution"
bottom: "branch15_2_conv2"
top: "branch15_2_conv3"
convolution_param {
num_output: 232
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch15_2_conv3_bn"
type: "BatchNorm"
bottom: "branch15_2_conv3"
top: "branch15_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch15_2_conv3_scale"
bottom: "branch15_2_conv3"
top: "branch15_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch15_2_conv3_relu"
type: "ReLU"
bottom: "branch15_2_conv3"
top: "branch15_2_conv3"
}
layer {
name: "concat15"
type: "Concat"
bottom: "branch15_1"
bottom: "branch15_2_conv3"
top: "concat15"
}
layer {
name: "shuffle15"
type: "ShuffleChannel"
bottom: "concat15"
top: "shuffle15"
shuffle_channel_param {
group: 2
}
}
layer {
name: "slice16"
type: "Slice"
bottom: "shuffle15"
top: "branch16_1"
top: "branch16_2"
slice_param {
slice_point: 232
axis: 1
}
}
layer {
name: "branch16_2_conv1"
type: "Convolution"
bottom: "branch16_2"
top: "branch16_2_conv1"
convolution_param {
num_output: 232
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch16_2_conv1_bn"
type: "BatchNorm"
bottom: "branch16_2_conv1"
top: "branch16_2_conv1"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch16_2_conv1_scale"
bottom: "branch16_2_conv1"
top: "branch16_2_conv1"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch16_2_conv1_relu"
type: "ReLU"
bottom: "branch16_2_conv1"
top: "branch16_2_conv1"
}
layer {
name: "branch16_2_conv2"
type: "ConvolutionDepthwise"
bottom: "branch16_2_conv1"
top: "branch16_2_conv2"
convolution_param {
num_output: 232
kernel_size: 3
stride: 1
pad: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch16_2_conv2_bn"
type: "BatchNorm"
bottom: "branch16_2_conv2"
top: "branch16_2_conv2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch16_2_conv2_scale"
bottom: "branch16_2_conv2"
top: "branch16_2_conv2"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch16_2_conv3"
type: "Convolution"
bottom: "branch16_2_conv2"
top: "branch16_2_conv3"
convolution_param {
num_output: 232
kernel_size: 1
stride: 1
pad: 0
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "branch16_2_conv3_bn"
type: "BatchNorm"
bottom: "branch16_2_conv3"
top: "branch16_2_conv3"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "branch16_2_conv3_scale"
bottom: "branch16_2_conv3"
top: "branch16_2_conv3"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "branch16_2_conv3_relu"
type: "ReLU"
bottom: "branch16_2_conv3"
top: "branch16_2_conv3"
}
layer {
name: "concat16"
type: "Concat"
bottom: "branch16_1"
bottom: "branch16_2_conv3"
top: "concat16"
}
layer {
name: "shuffle16"
type: "ShuffleChannel"
bottom: "concat16"
top: "shuffle16"
shuffle_channel_param {
group: 2
}
}
layer {
name: "conv5"
type: "Convolution"
bottom: "shuffle16"
top: "conv5"
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
bias_term: false
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv5_bn"
type: "BatchNorm"
bottom: "conv5"
top: "conv5"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv5_scale"
bottom: "conv5"
top: "conv5"
type: "Scale"
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv5_relu"
type: "ReLU"
bottom: "conv5"
top: "conv5"
}
layer {
name: "pool_ave"
type: "Pooling"
bottom: "conv5"
top: "pool_ave"
pooling_param {
global_pooling : true
pool: AVE
}
}
layer {
name: "fc1000"
type: "Convolution"
bottom: "pool_ave"
top: "fc1000"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1000
kernel_size: 1
weight_filler {
type: "msra"
}
bias_filler {
type: "constant"
value: 0
}
}
}