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new_V2_deploy.prototxt
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3711 lines (3691 loc) · 57.5 KB
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name: "MOBILENETV2"
layer {
name: "data"
type: "Data"
top: "data"
top: "label"
include {
phase: TEST
}
transform_param {
crop_size: 224
scale: 0.017
mean_value: 103.52
mean_value: 116.28
mean_value: 123.675
}
data_param {
source: "ilsvrc12_val_lmdb"
batch_size: 25
backend: LMDB
}
}
#### small mobiletnetv2 ####
layer {
name: "conv1_new_1by2"
type: "Convolution"
bottom: "data"
top: "conv1_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
engine: CAFFE
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1/bn_new_1by2"
type: "BatchNorm"
bottom: "conv1_new_1by2"
top: "conv1_new_1by2"
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_new_1by2"
type: "Scale"
bottom: "conv1_new_1by2"
top: "conv1_new_1by2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu1_new_1by2"
type: "ReLU"
bottom: "conv1_new_1by2"
top: "conv1_new_1by2"
}
##################################################################
layer {
name: "conv1_1/in/pw_new_1by2"
type: "Convolution"
bottom: "conv1_new_1by2"
top: "conv1_1/in/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 16
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1_1/in/pw/bn_new_1by2"
type: "BatchNorm"
bottom: "conv1_1/in/pw_new_1by2"
top: "conv1_1/in/pw_new_1by2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv1_1/in/pw/scale_new_1by2"
type: "Scale"
bottom: "conv1_1/in/pw_new_1by2"
top: "conv1_1/in/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu1_1/in/pw_new_1by2"
type: "ReLU"
bottom: "conv1_1/in/pw_new_1by2"
top: "conv1_1/in/pw_new_1by2"
}
layer {
name: "conv1_1/dw_new_1by2"
type: "ConvolutionDepthwise"
bottom: "conv1_1/in/pw_new_1by2"
top: "conv1_1/dw_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 16
bias_term: false
pad: 1
kernel_size: 3
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1_1/dw/bn_new_1by2"
type: "BatchNorm"
bottom: "conv1_1/dw_new_1by2"
top: "conv1_1/dw_new_1by2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv1_1/dw/scale_new_1by2"
type: "Scale"
bottom: "conv1_1/dw_new_1by2"
top: "conv1_1/dw_new_1by2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu1_1/dw_new_1by2"
type: "ReLU"
bottom: "conv1_1/dw_new_1by2"
top: "conv1_1/dw_new_1by2"
}
layer {
name: "conv1_1/out/pw_new_1by2"
type: "Convolution"
bottom: "conv1_1/dw_new_1by2"
top: "conv1_1/out/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 8
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv1_1/out/pw/bn_new_1by2"
type: "BatchNorm"
bottom: "conv1_1/out/pw_new_1by2"
top: "conv1_1/out/pw_new_1by2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv1_1/out/pw/scale_new_1by2"
type: "Scale"
bottom: "conv1_1/out/pw_new_1by2"
top: "conv1_1/out/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
##################################################################
layer {
name: "conv2_1/in/pw_new_1by2"
type: "Convolution"
bottom: "conv1_1/out/pw_new_1by2"
top: "conv2_1/in/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 48
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2_1/in/pw/bn_new_1by2"
type: "BatchNorm"
bottom: "conv2_1/in/pw_new_1by2"
top: "conv2_1/in/pw_new_1by2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv2_1/in/pw/scale_new_1by2"
type: "Scale"
bottom: "conv2_1/in/pw_new_1by2"
top: "conv2_1/in/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu2_1/in/pw_new_1by2"
type: "ReLU"
bottom: "conv2_1/in/pw_new_1by2"
top: "conv2_1/in/pw_new_1by2"
}
layer {
name: "conv2_1/dw_new_1by2"
type: "ConvolutionDepthwise"
bottom: "conv2_1/in/pw_new_1by2"
top: "conv2_1/dw_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 48
bias_term: false
pad: 1
kernel_size: 3
engine: CAFFE
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2_1/dw/bn_new_1by2"
type: "BatchNorm"
bottom: "conv2_1/dw_new_1by2"
top: "conv2_1/dw_new_1by2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv2_1/dw/scale_new_1by2"
type: "Scale"
bottom: "conv2_1/dw_new_1by2"
top: "conv2_1/dw_new_1by2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu2_1/dw_new_1by2"
type: "ReLU"
bottom: "conv2_1/dw_new_1by2"
top: "conv2_1/dw_new_1by2"
}
layer {
name: "conv2_1/out/pw_new_1by2"
type: "Convolution"
bottom: "conv2_1/dw_new_1by2"
top: "conv2_1/out/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 12
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2_1/out/pw/bn_new_1by2"
type: "BatchNorm"
bottom: "conv2_1/out/pw_new_1by2"
top: "conv2_1/out/pw_new_1by2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv2_1/out/pw/scale_new_1by2"
type: "Scale"
bottom: "conv2_1/out/pw_new_1by2"
top: "conv2_1/out/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv2_2/in/pw_new_1by2"
type: "Convolution"
bottom: "conv2_1/out/pw_new_1by2"
top: "conv2_2/in/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 72
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2_2/in/pw/bn_new_1by2"
type: "BatchNorm"
bottom: "conv2_2/in/pw_new_1by2"
top: "conv2_2/in/pw_new_1by2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv2_2/in/pw/scale_new_1by2"
type: "Scale"
bottom: "conv2_2/in/pw_new_1by2"
top: "conv2_2/in/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu2_2/in/pw_new_1by2"
type: "ReLU"
bottom: "conv2_2/in/pw_new_1by2"
top: "conv2_2/in/pw_new_1by2"
}
layer {
name: "conv2_2/dw_new_1by2"
type: "ConvolutionDepthwise"
bottom: "conv2_2/in/pw_new_1by2"
top: "conv2_2/dw_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 72
bias_term: false
pad: 1
kernel_size: 3
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2_2/dw/bn_new_1by2"
type: "BatchNorm"
bottom: "conv2_2/dw_new_1by2"
top: "conv2_2/dw_new_1by2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv2_2/dw/scale_new_1by2"
type: "Scale"
bottom: "conv2_2/dw_new_1by2"
top: "conv2_2/dw_new_1by2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu2_2/dw_new_1by2"
type: "ReLU"
bottom: "conv2_2/dw_new_1by2"
top: "conv2_2/dw_new_1by2"
}
layer {
name: "conv2_2/out/pw_new_1by2"
type: "Convolution"
bottom: "conv2_2/dw_new_1by2"
top: "conv2_2/out/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 12
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv2_2/out/pw/bn_new_1by2"
type: "BatchNorm"
bottom: "conv2_2/out/pw_new_1by2"
top: "conv2_2/out/pw_new_1by2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv2_2/out/pw/scale_new_1by2"
type: "Scale"
bottom: "conv2_2/out/pw_new_1by2"
top: "conv2_2/out/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "fuse_conv2_2_new_1by2"
type: "Eltwise"
bottom: "conv2_1/out/pw_new_1by2"
bottom: "conv2_2/out/pw_new_1by2"
top: "fuse_conv2_2_new_1by2"
eltwise_param {
operation: SUM
}
}
###############################################
layer {
name: "conv3_1/in/pw_new_1by2"
type: "Convolution"
bottom: "fuse_conv2_2_new_1by2"
top: "conv3_1/in/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 72
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv3_1/in/pw/bn_new_1by2"
type: "BatchNorm"
bottom: "conv3_1/in/pw_new_1by2"
top: "conv3_1/in/pw_new_1by2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv3_1/in/pw/scale_new_1by2"
type: "Scale"
bottom: "conv3_1/in/pw_new_1by2"
top: "conv3_1/in/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu3_1/in/pw_new_1by2"
type: "ReLU"
bottom: "conv3_1/in/pw_new_1by2"
top: "conv3_1/in/pw_new_1by2"
}
layer {
name: "conv3_1/dw_new_1by2"
type: "ConvolutionDepthwise"
bottom: "conv3_1/in/pw_new_1by2"
top: "conv3_1/dw_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 72
bias_term: false
pad: 1
kernel_size: 3
engine: CAFFE
stride: 2
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv3_1/dw/bn_new_1by2"
type: "BatchNorm"
bottom: "conv3_1/dw_new_1by2"
top: "conv3_1/dw_new_1by2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv3_1/dw/scale_new_1by2"
type: "Scale"
bottom: "conv3_1/dw_new_1by2"
top: "conv3_1/dw_new_1by2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu3_1/dw_new_1by2"
type: "ReLU"
bottom: "conv3_1/dw_new_1by2"
top: "conv3_1/dw_new_1by2"
}
layer {
name: "conv3_1/out/pw_new_1by2"
type: "Convolution"
bottom: "conv3_1/dw_new_1by2"
top: "conv3_1/out/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 16
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv3_1/out/pw/bn_new_1by2"
type: "BatchNorm"
bottom: "conv3_1/out/pw_new_1by2"
top: "conv3_1/out/pw_new_1by2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv3_1/out/pw/scale_new_1by2"
type: "Scale"
bottom: "conv3_1/out/pw_new_1by2"
top: "conv3_1/out/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "conv3_2/in/pw_new_1by2"
type: "Convolution"
bottom: "conv3_1/out/pw_new_1by2"
top: "conv3_2/in/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 96
bias_term: false
pad: 0
kernel_size: 1
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv3_2/in/pw/bn_new_1by2"
type: "BatchNorm"
bottom: "conv3_2/in/pw_new_1by2"
top: "conv3_2/in/pw_new_1by2"
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
param {
lr_mult: 0
decay_mult: 0
}
}
layer {
name: "conv3_2/in/pw/scale_new_1by2"
type: "Scale"
bottom: "conv3_2/in/pw_new_1by2"
top: "conv3_2/in/pw_new_1by2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
scale_param {
filler {
value: 1
}
bias_term: true
bias_filler {
value: 0
}
}
}
layer {
name: "relu3_2/in/pw_new_1by2"
type: "ReLU"
bottom: "conv3_2/in/pw_new_1by2"
top: "conv3_2/in/pw_new_1by2"
}
layer {
name: "conv3_2/dw_new_1by2"
type: "ConvolutionDepthwise"
bottom: "conv3_2/in/pw_new_1by2"
top: "conv3_2/dw_new_1by2"
param {
lr_mult: 1
decay_mult: 1
}
convolution_param {
num_output: 96
bias_term: false
pad: 1
kernel_size: 3
engine: CAFFE
stride: 1
weight_filler {
type: "msra"
}
}
}
layer {
name: "conv3_2/dw/bn_new_1by2"
type: "BatchNorm"
bottom: "conv3_2/dw_new_1by2"
top: "conv3_2/dw_new_1by2"
param {
lr_mult: 0
decay_mult: 0