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@chuckcho
Last active July 14, 2016 20:19
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resnet200_anet_2016_deploy.prototxt
name: "resnet200_anet_2016_deploy.prototxt"
input: "data"
input_shape {
dim: 1
dim: 3
dim: 224
dim: 224
}
layer {
name: "caffe.SpatialConvolution_0"
type: "Convolution"
bottom: "data"
top: "caffe.SpatialConvolution_0"
convolution_param {
num_output: 64
bias_term: false
pad_h: 3
pad_w: 3
kernel_h: 7
kernel_w: 7
stride_h: 2
stride_w: 2
}
}
layer {
name: "caffe.Pooling_1"
type: "Pooling"
bottom: "caffe.SpatialConvolution_0"
top: "caffe.Pooling_1"
pooling_param {
pool: MAX
kernel_h: 3
kernel_w: 3
stride_h: 2
stride_w: 2
pad_h: 0
pad_w: 0
}
}
layer {
name: "caffe.BN_2"
type: "BN"
bottom: "caffe.Pooling_1"
top: "caffe.BN_2"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_3"
type: "ReLU"
bottom: "caffe.BN_2"
top: "caffe.BN_2"
}
layer {
name: "caffe.SpatialConvolution_4"
type: "Convolution"
bottom: "caffe.BN_2"
top: "caffe.SpatialConvolution_4"
convolution_param {
num_output: 64
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_5"
type: "BN"
bottom: "caffe.SpatialConvolution_4"
top: "caffe.BN_5"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_6"
type: "ReLU"
bottom: "caffe.BN_5"
top: "caffe.BN_5"
}
layer {
name: "caffe.SpatialConvolution_7"
type: "Convolution"
bottom: "caffe.BN_5"
top: "caffe.SpatialConvolution_7"
convolution_param {
num_output: 64
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_8"
type: "BN"
bottom: "caffe.SpatialConvolution_7"
top: "caffe.BN_8"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_9"
type: "ReLU"
bottom: "caffe.BN_8"
top: "caffe.BN_8"
}
layer {
name: "caffe.SpatialConvolution_10"
type: "Convolution"
bottom: "caffe.BN_8"
top: "caffe.SpatialConvolution_10"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.SpatialConvolution_11"
type: "Convolution"
bottom: "caffe.Pooling_1"
top: "caffe.SpatialConvolution_11"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_12"
type: "BN"
bottom: "caffe.SpatialConvolution_11"
top: "caffe.BN_12"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.Eltwise_13"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_10"
bottom: "caffe.BN_12"
top: "caffe.Eltwise_13"
}
layer {
name: "caffe.BN_14"
type: "BN"
bottom: "caffe.Eltwise_13"
top: "caffe.BN_14"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_15"
type: "ReLU"
bottom: "caffe.BN_14"
top: "caffe.BN_14"
}
layer {
name: "caffe.SpatialConvolution_16"
type: "Convolution"
bottom: "caffe.BN_14"
top: "caffe.SpatialConvolution_16"
convolution_param {
num_output: 64
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_17"
type: "BN"
bottom: "caffe.SpatialConvolution_16"
top: "caffe.BN_17"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_18"
type: "ReLU"
bottom: "caffe.BN_17"
top: "caffe.BN_17"
}
layer {
name: "caffe.SpatialConvolution_19"
type: "Convolution"
bottom: "caffe.BN_17"
top: "caffe.SpatialConvolution_19"
convolution_param {
num_output: 64
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_20"
type: "BN"
bottom: "caffe.SpatialConvolution_19"
top: "caffe.BN_20"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_21"
type: "ReLU"
bottom: "caffe.BN_20"
top: "caffe.BN_20"
}
layer {
name: "caffe.SpatialConvolution_22"
type: "Convolution"
bottom: "caffe.BN_20"
top: "caffe.SpatialConvolution_22"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_23"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_22"
bottom: "caffe.Eltwise_13"
top: "caffe.Eltwise_23"
}
layer {
name: "caffe.BN_24"
type: "BN"
bottom: "caffe.Eltwise_23"
top: "caffe.BN_24"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_25"
type: "ReLU"
bottom: "caffe.BN_24"
top: "caffe.BN_24"
}
layer {
name: "caffe.SpatialConvolution_26"
type: "Convolution"
bottom: "caffe.BN_24"
top: "caffe.SpatialConvolution_26"
convolution_param {
num_output: 64
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_27"
type: "BN"
bottom: "caffe.SpatialConvolution_26"
top: "caffe.BN_27"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_28"
type: "ReLU"
bottom: "caffe.BN_27"
top: "caffe.BN_27"
}
layer {
name: "caffe.SpatialConvolution_29"
type: "Convolution"
bottom: "caffe.BN_27"
top: "caffe.SpatialConvolution_29"
convolution_param {
num_output: 64
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_30"
type: "BN"
bottom: "caffe.SpatialConvolution_29"
top: "caffe.BN_30"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_31"
type: "ReLU"
bottom: "caffe.BN_30"
top: "caffe.BN_30"
}
layer {
name: "caffe.SpatialConvolution_32"
type: "Convolution"
bottom: "caffe.BN_30"
top: "caffe.SpatialConvolution_32"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_33"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_32"
bottom: "caffe.Eltwise_23"
top: "caffe.Eltwise_33"
}
layer {
name: "caffe.BN_34"
type: "BN"
bottom: "caffe.Eltwise_33"
top: "caffe.BN_34"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_35"
type: "ReLU"
bottom: "caffe.BN_34"
top: "caffe.BN_34"
}
layer {
name: "caffe.SpatialConvolution_36"
type: "Convolution"
bottom: "caffe.BN_34"
top: "caffe.SpatialConvolution_36"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_37"
type: "BN"
bottom: "caffe.SpatialConvolution_36"
top: "caffe.BN_37"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_38"
type: "ReLU"
bottom: "caffe.BN_37"
top: "caffe.BN_37"
}
layer {
name: "caffe.SpatialConvolution_39"
type: "Convolution"
bottom: "caffe.BN_37"
top: "caffe.SpatialConvolution_39"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 2
stride_w: 2
}
}
layer {
name: "caffe.BN_40"
type: "BN"
bottom: "caffe.SpatialConvolution_39"
top: "caffe.BN_40"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_41"
type: "ReLU"
bottom: "caffe.BN_40"
top: "caffe.BN_40"
}
layer {
name: "caffe.SpatialConvolution_42"
type: "Convolution"
bottom: "caffe.BN_40"
top: "caffe.SpatialConvolution_42"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.SpatialConvolution_43"
type: "Convolution"
bottom: "caffe.Eltwise_33"
top: "caffe.SpatialConvolution_43"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 2
stride_w: 2
}
}
layer {
name: "caffe.BN_44"
type: "BN"
bottom: "caffe.SpatialConvolution_43"
top: "caffe.BN_44"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.Eltwise_45"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_42"
bottom: "caffe.BN_44"
top: "caffe.Eltwise_45"
}
layer {
name: "caffe.BN_46"
type: "BN"
bottom: "caffe.Eltwise_45"
top: "caffe.BN_46"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_47"
type: "ReLU"
bottom: "caffe.BN_46"
top: "caffe.BN_46"
}
layer {
name: "caffe.SpatialConvolution_48"
type: "Convolution"
bottom: "caffe.BN_46"
top: "caffe.SpatialConvolution_48"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_49"
type: "BN"
bottom: "caffe.SpatialConvolution_48"
top: "caffe.BN_49"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_50"
type: "ReLU"
bottom: "caffe.BN_49"
top: "caffe.BN_49"
}
layer {
name: "caffe.SpatialConvolution_51"
type: "Convolution"
bottom: "caffe.BN_49"
top: "caffe.SpatialConvolution_51"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_52"
type: "BN"
bottom: "caffe.SpatialConvolution_51"
top: "caffe.BN_52"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_53"
type: "ReLU"
bottom: "caffe.BN_52"
top: "caffe.BN_52"
}
layer {
name: "caffe.SpatialConvolution_54"
type: "Convolution"
bottom: "caffe.BN_52"
top: "caffe.SpatialConvolution_54"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_55"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_54"
bottom: "caffe.Eltwise_45"
top: "caffe.Eltwise_55"
}
layer {
name: "caffe.BN_56"
type: "BN"
bottom: "caffe.Eltwise_55"
top: "caffe.BN_56"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_57"
type: "ReLU"
bottom: "caffe.BN_56"
top: "caffe.BN_56"
}
layer {
name: "caffe.SpatialConvolution_58"
type: "Convolution"
bottom: "caffe.BN_56"
top: "caffe.SpatialConvolution_58"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_59"
type: "BN"
bottom: "caffe.SpatialConvolution_58"
top: "caffe.BN_59"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_60"
type: "ReLU"
bottom: "caffe.BN_59"
top: "caffe.BN_59"
}
layer {
name: "caffe.SpatialConvolution_61"
type: "Convolution"
bottom: "caffe.BN_59"
top: "caffe.SpatialConvolution_61"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_62"
type: "BN"
bottom: "caffe.SpatialConvolution_61"
top: "caffe.BN_62"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_63"
type: "ReLU"
bottom: "caffe.BN_62"
top: "caffe.BN_62"
}
layer {
name: "caffe.SpatialConvolution_64"
type: "Convolution"
bottom: "caffe.BN_62"
top: "caffe.SpatialConvolution_64"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_65"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_64"
bottom: "caffe.Eltwise_55"
top: "caffe.Eltwise_65"
}
layer {
name: "caffe.BN_66"
type: "BN"
bottom: "caffe.Eltwise_65"
top: "caffe.BN_66"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_67"
type: "ReLU"
bottom: "caffe.BN_66"
top: "caffe.BN_66"
}
layer {
name: "caffe.SpatialConvolution_68"
type: "Convolution"
bottom: "caffe.BN_66"
top: "caffe.SpatialConvolution_68"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_69"
type: "BN"
bottom: "caffe.SpatialConvolution_68"
top: "caffe.BN_69"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_70"
type: "ReLU"
bottom: "caffe.BN_69"
top: "caffe.BN_69"
}
layer {
name: "caffe.SpatialConvolution_71"
type: "Convolution"
bottom: "caffe.BN_69"
top: "caffe.SpatialConvolution_71"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_72"
type: "BN"
bottom: "caffe.SpatialConvolution_71"
top: "caffe.BN_72"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_73"
type: "ReLU"
bottom: "caffe.BN_72"
top: "caffe.BN_72"
}
layer {
name: "caffe.SpatialConvolution_74"
type: "Convolution"
bottom: "caffe.BN_72"
top: "caffe.SpatialConvolution_74"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_75"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_74"
bottom: "caffe.Eltwise_65"
top: "caffe.Eltwise_75"
}
layer {
name: "caffe.BN_76"
type: "BN"
bottom: "caffe.Eltwise_75"
top: "caffe.BN_76"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_77"
type: "ReLU"
bottom: "caffe.BN_76"
top: "caffe.BN_76"
}
layer {
name: "caffe.SpatialConvolution_78"
type: "Convolution"
bottom: "caffe.BN_76"
top: "caffe.SpatialConvolution_78"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_79"
type: "BN"
bottom: "caffe.SpatialConvolution_78"
top: "caffe.BN_79"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_80"
type: "ReLU"
bottom: "caffe.BN_79"
top: "caffe.BN_79"
}
layer {
name: "caffe.SpatialConvolution_81"
type: "Convolution"
bottom: "caffe.BN_79"
top: "caffe.SpatialConvolution_81"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_82"
type: "BN"
bottom: "caffe.SpatialConvolution_81"
top: "caffe.BN_82"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_83"
type: "ReLU"
bottom: "caffe.BN_82"
top: "caffe.BN_82"
}
layer {
name: "caffe.SpatialConvolution_84"
type: "Convolution"
bottom: "caffe.BN_82"
top: "caffe.SpatialConvolution_84"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_85"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_84"
bottom: "caffe.Eltwise_75"
top: "caffe.Eltwise_85"
}
layer {
name: "caffe.BN_86"
type: "BN"
bottom: "caffe.Eltwise_85"
top: "caffe.BN_86"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_87"
type: "ReLU"
bottom: "caffe.BN_86"
top: "caffe.BN_86"
}
layer {
name: "caffe.SpatialConvolution_88"
type: "Convolution"
bottom: "caffe.BN_86"
top: "caffe.SpatialConvolution_88"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_89"
type: "BN"
bottom: "caffe.SpatialConvolution_88"
top: "caffe.BN_89"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_90"
type: "ReLU"
bottom: "caffe.BN_89"
top: "caffe.BN_89"
}
layer {
name: "caffe.SpatialConvolution_91"
type: "Convolution"
bottom: "caffe.BN_89"
top: "caffe.SpatialConvolution_91"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_92"
type: "BN"
bottom: "caffe.SpatialConvolution_91"
top: "caffe.BN_92"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_93"
type: "ReLU"
bottom: "caffe.BN_92"
top: "caffe.BN_92"
}
layer {
name: "caffe.SpatialConvolution_94"
type: "Convolution"
bottom: "caffe.BN_92"
top: "caffe.SpatialConvolution_94"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_95"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_94"
bottom: "caffe.Eltwise_85"
top: "caffe.Eltwise_95"
}
layer {
name: "caffe.BN_96"
type: "BN"
bottom: "caffe.Eltwise_95"
top: "caffe.BN_96"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_97"
type: "ReLU"
bottom: "caffe.BN_96"
top: "caffe.BN_96"
}
layer {
name: "caffe.SpatialConvolution_98"
type: "Convolution"
bottom: "caffe.BN_96"
top: "caffe.SpatialConvolution_98"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_99"
type: "BN"
bottom: "caffe.SpatialConvolution_98"
top: "caffe.BN_99"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_100"
type: "ReLU"
bottom: "caffe.BN_99"
top: "caffe.BN_99"
}
layer {
name: "caffe.SpatialConvolution_101"
type: "Convolution"
bottom: "caffe.BN_99"
top: "caffe.SpatialConvolution_101"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_102"
type: "BN"
bottom: "caffe.SpatialConvolution_101"
top: "caffe.BN_102"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_103"
type: "ReLU"
bottom: "caffe.BN_102"
top: "caffe.BN_102"
}
layer {
name: "caffe.SpatialConvolution_104"
type: "Convolution"
bottom: "caffe.BN_102"
top: "caffe.SpatialConvolution_104"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_105"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_104"
bottom: "caffe.Eltwise_95"
top: "caffe.Eltwise_105"
}
layer {
name: "caffe.BN_106"
type: "BN"
bottom: "caffe.Eltwise_105"
top: "caffe.BN_106"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_107"
type: "ReLU"
bottom: "caffe.BN_106"
top: "caffe.BN_106"
}
layer {
name: "caffe.SpatialConvolution_108"
type: "Convolution"
bottom: "caffe.BN_106"
top: "caffe.SpatialConvolution_108"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_109"
type: "BN"
bottom: "caffe.SpatialConvolution_108"
top: "caffe.BN_109"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_110"
type: "ReLU"
bottom: "caffe.BN_109"
top: "caffe.BN_109"
}
layer {
name: "caffe.SpatialConvolution_111"
type: "Convolution"
bottom: "caffe.BN_109"
top: "caffe.SpatialConvolution_111"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_112"
type: "BN"
bottom: "caffe.SpatialConvolution_111"
top: "caffe.BN_112"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_113"
type: "ReLU"
bottom: "caffe.BN_112"
top: "caffe.BN_112"
}
layer {
name: "caffe.SpatialConvolution_114"
type: "Convolution"
bottom: "caffe.BN_112"
top: "caffe.SpatialConvolution_114"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_115"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_114"
bottom: "caffe.Eltwise_105"
top: "caffe.Eltwise_115"
}
layer {
name: "caffe.BN_116"
type: "BN"
bottom: "caffe.Eltwise_115"
top: "caffe.BN_116"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_117"
type: "ReLU"
bottom: "caffe.BN_116"
top: "caffe.BN_116"
}
layer {
name: "caffe.SpatialConvolution_118"
type: "Convolution"
bottom: "caffe.BN_116"
top: "caffe.SpatialConvolution_118"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_119"
type: "BN"
bottom: "caffe.SpatialConvolution_118"
top: "caffe.BN_119"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_120"
type: "ReLU"
bottom: "caffe.BN_119"
top: "caffe.BN_119"
}
layer {
name: "caffe.SpatialConvolution_121"
type: "Convolution"
bottom: "caffe.BN_119"
top: "caffe.SpatialConvolution_121"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_122"
type: "BN"
bottom: "caffe.SpatialConvolution_121"
top: "caffe.BN_122"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_123"
type: "ReLU"
bottom: "caffe.BN_122"
top: "caffe.BN_122"
}
layer {
name: "caffe.SpatialConvolution_124"
type: "Convolution"
bottom: "caffe.BN_122"
top: "caffe.SpatialConvolution_124"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_125"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_124"
bottom: "caffe.Eltwise_115"
top: "caffe.Eltwise_125"
}
layer {
name: "caffe.BN_126"
type: "BN"
bottom: "caffe.Eltwise_125"
top: "caffe.BN_126"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_127"
type: "ReLU"
bottom: "caffe.BN_126"
top: "caffe.BN_126"
}
layer {
name: "caffe.SpatialConvolution_128"
type: "Convolution"
bottom: "caffe.BN_126"
top: "caffe.SpatialConvolution_128"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_129"
type: "BN"
bottom: "caffe.SpatialConvolution_128"
top: "caffe.BN_129"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_130"
type: "ReLU"
bottom: "caffe.BN_129"
top: "caffe.BN_129"
}
layer {
name: "caffe.SpatialConvolution_131"
type: "Convolution"
bottom: "caffe.BN_129"
top: "caffe.SpatialConvolution_131"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_132"
type: "BN"
bottom: "caffe.SpatialConvolution_131"
top: "caffe.BN_132"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_133"
type: "ReLU"
bottom: "caffe.BN_132"
top: "caffe.BN_132"
}
layer {
name: "caffe.SpatialConvolution_134"
type: "Convolution"
bottom: "caffe.BN_132"
top: "caffe.SpatialConvolution_134"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_135"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_134"
bottom: "caffe.Eltwise_125"
top: "caffe.Eltwise_135"
}
layer {
name: "caffe.BN_136"
type: "BN"
bottom: "caffe.Eltwise_135"
top: "caffe.BN_136"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_137"
type: "ReLU"
bottom: "caffe.BN_136"
top: "caffe.BN_136"
}
layer {
name: "caffe.SpatialConvolution_138"
type: "Convolution"
bottom: "caffe.BN_136"
top: "caffe.SpatialConvolution_138"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_139"
type: "BN"
bottom: "caffe.SpatialConvolution_138"
top: "caffe.BN_139"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_140"
type: "ReLU"
bottom: "caffe.BN_139"
top: "caffe.BN_139"
}
layer {
name: "caffe.SpatialConvolution_141"
type: "Convolution"
bottom: "caffe.BN_139"
top: "caffe.SpatialConvolution_141"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_142"
type: "BN"
bottom: "caffe.SpatialConvolution_141"
top: "caffe.BN_142"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_143"
type: "ReLU"
bottom: "caffe.BN_142"
top: "caffe.BN_142"
}
layer {
name: "caffe.SpatialConvolution_144"
type: "Convolution"
bottom: "caffe.BN_142"
top: "caffe.SpatialConvolution_144"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_145"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_144"
bottom: "caffe.Eltwise_135"
top: "caffe.Eltwise_145"
}
layer {
name: "caffe.BN_146"
type: "BN"
bottom: "caffe.Eltwise_145"
top: "caffe.BN_146"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_147"
type: "ReLU"
bottom: "caffe.BN_146"
top: "caffe.BN_146"
}
layer {
name: "caffe.SpatialConvolution_148"
type: "Convolution"
bottom: "caffe.BN_146"
top: "caffe.SpatialConvolution_148"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_149"
type: "BN"
bottom: "caffe.SpatialConvolution_148"
top: "caffe.BN_149"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_150"
type: "ReLU"
bottom: "caffe.BN_149"
top: "caffe.BN_149"
}
layer {
name: "caffe.SpatialConvolution_151"
type: "Convolution"
bottom: "caffe.BN_149"
top: "caffe.SpatialConvolution_151"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_152"
type: "BN"
bottom: "caffe.SpatialConvolution_151"
top: "caffe.BN_152"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_153"
type: "ReLU"
bottom: "caffe.BN_152"
top: "caffe.BN_152"
}
layer {
name: "caffe.SpatialConvolution_154"
type: "Convolution"
bottom: "caffe.BN_152"
top: "caffe.SpatialConvolution_154"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_155"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_154"
bottom: "caffe.Eltwise_145"
top: "caffe.Eltwise_155"
}
layer {
name: "caffe.BN_156"
type: "BN"
bottom: "caffe.Eltwise_155"
top: "caffe.BN_156"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_157"
type: "ReLU"
bottom: "caffe.BN_156"
top: "caffe.BN_156"
}
layer {
name: "caffe.SpatialConvolution_158"
type: "Convolution"
bottom: "caffe.BN_156"
top: "caffe.SpatialConvolution_158"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_159"
type: "BN"
bottom: "caffe.SpatialConvolution_158"
top: "caffe.BN_159"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_160"
type: "ReLU"
bottom: "caffe.BN_159"
top: "caffe.BN_159"
}
layer {
name: "caffe.SpatialConvolution_161"
type: "Convolution"
bottom: "caffe.BN_159"
top: "caffe.SpatialConvolution_161"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_162"
type: "BN"
bottom: "caffe.SpatialConvolution_161"
top: "caffe.BN_162"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_163"
type: "ReLU"
bottom: "caffe.BN_162"
top: "caffe.BN_162"
}
layer {
name: "caffe.SpatialConvolution_164"
type: "Convolution"
bottom: "caffe.BN_162"
top: "caffe.SpatialConvolution_164"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_165"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_164"
bottom: "caffe.Eltwise_155"
top: "caffe.Eltwise_165"
}
layer {
name: "caffe.BN_166"
type: "BN"
bottom: "caffe.Eltwise_165"
top: "caffe.BN_166"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_167"
type: "ReLU"
bottom: "caffe.BN_166"
top: "caffe.BN_166"
}
layer {
name: "caffe.SpatialConvolution_168"
type: "Convolution"
bottom: "caffe.BN_166"
top: "caffe.SpatialConvolution_168"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_169"
type: "BN"
bottom: "caffe.SpatialConvolution_168"
top: "caffe.BN_169"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_170"
type: "ReLU"
bottom: "caffe.BN_169"
top: "caffe.BN_169"
}
layer {
name: "caffe.SpatialConvolution_171"
type: "Convolution"
bottom: "caffe.BN_169"
top: "caffe.SpatialConvolution_171"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_172"
type: "BN"
bottom: "caffe.SpatialConvolution_171"
top: "caffe.BN_172"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_173"
type: "ReLU"
bottom: "caffe.BN_172"
top: "caffe.BN_172"
}
layer {
name: "caffe.SpatialConvolution_174"
type: "Convolution"
bottom: "caffe.BN_172"
top: "caffe.SpatialConvolution_174"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_175"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_174"
bottom: "caffe.Eltwise_165"
top: "caffe.Eltwise_175"
}
layer {
name: "caffe.BN_176"
type: "BN"
bottom: "caffe.Eltwise_175"
top: "caffe.BN_176"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_177"
type: "ReLU"
bottom: "caffe.BN_176"
top: "caffe.BN_176"
}
layer {
name: "caffe.SpatialConvolution_178"
type: "Convolution"
bottom: "caffe.BN_176"
top: "caffe.SpatialConvolution_178"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_179"
type: "BN"
bottom: "caffe.SpatialConvolution_178"
top: "caffe.BN_179"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_180"
type: "ReLU"
bottom: "caffe.BN_179"
top: "caffe.BN_179"
}
layer {
name: "caffe.SpatialConvolution_181"
type: "Convolution"
bottom: "caffe.BN_179"
top: "caffe.SpatialConvolution_181"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_182"
type: "BN"
bottom: "caffe.SpatialConvolution_181"
top: "caffe.BN_182"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_183"
type: "ReLU"
bottom: "caffe.BN_182"
top: "caffe.BN_182"
}
layer {
name: "caffe.SpatialConvolution_184"
type: "Convolution"
bottom: "caffe.BN_182"
top: "caffe.SpatialConvolution_184"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_185"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_184"
bottom: "caffe.Eltwise_175"
top: "caffe.Eltwise_185"
}
layer {
name: "caffe.BN_186"
type: "BN"
bottom: "caffe.Eltwise_185"
top: "caffe.BN_186"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_187"
type: "ReLU"
bottom: "caffe.BN_186"
top: "caffe.BN_186"
}
layer {
name: "caffe.SpatialConvolution_188"
type: "Convolution"
bottom: "caffe.BN_186"
top: "caffe.SpatialConvolution_188"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_189"
type: "BN"
bottom: "caffe.SpatialConvolution_188"
top: "caffe.BN_189"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_190"
type: "ReLU"
bottom: "caffe.BN_189"
top: "caffe.BN_189"
}
layer {
name: "caffe.SpatialConvolution_191"
type: "Convolution"
bottom: "caffe.BN_189"
top: "caffe.SpatialConvolution_191"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_192"
type: "BN"
bottom: "caffe.SpatialConvolution_191"
top: "caffe.BN_192"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_193"
type: "ReLU"
bottom: "caffe.BN_192"
top: "caffe.BN_192"
}
layer {
name: "caffe.SpatialConvolution_194"
type: "Convolution"
bottom: "caffe.BN_192"
top: "caffe.SpatialConvolution_194"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_195"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_194"
bottom: "caffe.Eltwise_185"
top: "caffe.Eltwise_195"
}
layer {
name: "caffe.BN_196"
type: "BN"
bottom: "caffe.Eltwise_195"
top: "caffe.BN_196"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_197"
type: "ReLU"
bottom: "caffe.BN_196"
top: "caffe.BN_196"
}
layer {
name: "caffe.SpatialConvolution_198"
type: "Convolution"
bottom: "caffe.BN_196"
top: "caffe.SpatialConvolution_198"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_199"
type: "BN"
bottom: "caffe.SpatialConvolution_198"
top: "caffe.BN_199"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_200"
type: "ReLU"
bottom: "caffe.BN_199"
top: "caffe.BN_199"
}
layer {
name: "caffe.SpatialConvolution_201"
type: "Convolution"
bottom: "caffe.BN_199"
top: "caffe.SpatialConvolution_201"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_202"
type: "BN"
bottom: "caffe.SpatialConvolution_201"
top: "caffe.BN_202"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_203"
type: "ReLU"
bottom: "caffe.BN_202"
top: "caffe.BN_202"
}
layer {
name: "caffe.SpatialConvolution_204"
type: "Convolution"
bottom: "caffe.BN_202"
top: "caffe.SpatialConvolution_204"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_205"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_204"
bottom: "caffe.Eltwise_195"
top: "caffe.Eltwise_205"
}
layer {
name: "caffe.BN_206"
type: "BN"
bottom: "caffe.Eltwise_205"
top: "caffe.BN_206"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_207"
type: "ReLU"
bottom: "caffe.BN_206"
top: "caffe.BN_206"
}
layer {
name: "caffe.SpatialConvolution_208"
type: "Convolution"
bottom: "caffe.BN_206"
top: "caffe.SpatialConvolution_208"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_209"
type: "BN"
bottom: "caffe.SpatialConvolution_208"
top: "caffe.BN_209"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_210"
type: "ReLU"
bottom: "caffe.BN_209"
top: "caffe.BN_209"
}
layer {
name: "caffe.SpatialConvolution_211"
type: "Convolution"
bottom: "caffe.BN_209"
top: "caffe.SpatialConvolution_211"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_212"
type: "BN"
bottom: "caffe.SpatialConvolution_211"
top: "caffe.BN_212"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_213"
type: "ReLU"
bottom: "caffe.BN_212"
top: "caffe.BN_212"
}
layer {
name: "caffe.SpatialConvolution_214"
type: "Convolution"
bottom: "caffe.BN_212"
top: "caffe.SpatialConvolution_214"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_215"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_214"
bottom: "caffe.Eltwise_205"
top: "caffe.Eltwise_215"
}
layer {
name: "caffe.BN_216"
type: "BN"
bottom: "caffe.Eltwise_215"
top: "caffe.BN_216"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_217"
type: "ReLU"
bottom: "caffe.BN_216"
top: "caffe.BN_216"
}
layer {
name: "caffe.SpatialConvolution_218"
type: "Convolution"
bottom: "caffe.BN_216"
top: "caffe.SpatialConvolution_218"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_219"
type: "BN"
bottom: "caffe.SpatialConvolution_218"
top: "caffe.BN_219"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_220"
type: "ReLU"
bottom: "caffe.BN_219"
top: "caffe.BN_219"
}
layer {
name: "caffe.SpatialConvolution_221"
type: "Convolution"
bottom: "caffe.BN_219"
top: "caffe.SpatialConvolution_221"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_222"
type: "BN"
bottom: "caffe.SpatialConvolution_221"
top: "caffe.BN_222"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_223"
type: "ReLU"
bottom: "caffe.BN_222"
top: "caffe.BN_222"
}
layer {
name: "caffe.SpatialConvolution_224"
type: "Convolution"
bottom: "caffe.BN_222"
top: "caffe.SpatialConvolution_224"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_225"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_224"
bottom: "caffe.Eltwise_215"
top: "caffe.Eltwise_225"
}
layer {
name: "caffe.BN_226"
type: "BN"
bottom: "caffe.Eltwise_225"
top: "caffe.BN_226"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_227"
type: "ReLU"
bottom: "caffe.BN_226"
top: "caffe.BN_226"
}
layer {
name: "caffe.SpatialConvolution_228"
type: "Convolution"
bottom: "caffe.BN_226"
top: "caffe.SpatialConvolution_228"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_229"
type: "BN"
bottom: "caffe.SpatialConvolution_228"
top: "caffe.BN_229"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_230"
type: "ReLU"
bottom: "caffe.BN_229"
top: "caffe.BN_229"
}
layer {
name: "caffe.SpatialConvolution_231"
type: "Convolution"
bottom: "caffe.BN_229"
top: "caffe.SpatialConvolution_231"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_232"
type: "BN"
bottom: "caffe.SpatialConvolution_231"
top: "caffe.BN_232"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_233"
type: "ReLU"
bottom: "caffe.BN_232"
top: "caffe.BN_232"
}
layer {
name: "caffe.SpatialConvolution_234"
type: "Convolution"
bottom: "caffe.BN_232"
top: "caffe.SpatialConvolution_234"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_235"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_234"
bottom: "caffe.Eltwise_225"
top: "caffe.Eltwise_235"
}
layer {
name: "caffe.BN_236"
type: "BN"
bottom: "caffe.Eltwise_235"
top: "caffe.BN_236"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_237"
type: "ReLU"
bottom: "caffe.BN_236"
top: "caffe.BN_236"
}
layer {
name: "caffe.SpatialConvolution_238"
type: "Convolution"
bottom: "caffe.BN_236"
top: "caffe.SpatialConvolution_238"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_239"
type: "BN"
bottom: "caffe.SpatialConvolution_238"
top: "caffe.BN_239"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_240"
type: "ReLU"
bottom: "caffe.BN_239"
top: "caffe.BN_239"
}
layer {
name: "caffe.SpatialConvolution_241"
type: "Convolution"
bottom: "caffe.BN_239"
top: "caffe.SpatialConvolution_241"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_242"
type: "BN"
bottom: "caffe.SpatialConvolution_241"
top: "caffe.BN_242"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_243"
type: "ReLU"
bottom: "caffe.BN_242"
top: "caffe.BN_242"
}
layer {
name: "caffe.SpatialConvolution_244"
type: "Convolution"
bottom: "caffe.BN_242"
top: "caffe.SpatialConvolution_244"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_245"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_244"
bottom: "caffe.Eltwise_235"
top: "caffe.Eltwise_245"
}
layer {
name: "caffe.BN_246"
type: "BN"
bottom: "caffe.Eltwise_245"
top: "caffe.BN_246"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_247"
type: "ReLU"
bottom: "caffe.BN_246"
top: "caffe.BN_246"
}
layer {
name: "caffe.SpatialConvolution_248"
type: "Convolution"
bottom: "caffe.BN_246"
top: "caffe.SpatialConvolution_248"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_249"
type: "BN"
bottom: "caffe.SpatialConvolution_248"
top: "caffe.BN_249"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_250"
type: "ReLU"
bottom: "caffe.BN_249"
top: "caffe.BN_249"
}
layer {
name: "caffe.SpatialConvolution_251"
type: "Convolution"
bottom: "caffe.BN_249"
top: "caffe.SpatialConvolution_251"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_252"
type: "BN"
bottom: "caffe.SpatialConvolution_251"
top: "caffe.BN_252"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_253"
type: "ReLU"
bottom: "caffe.BN_252"
top: "caffe.BN_252"
}
layer {
name: "caffe.SpatialConvolution_254"
type: "Convolution"
bottom: "caffe.BN_252"
top: "caffe.SpatialConvolution_254"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_255"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_254"
bottom: "caffe.Eltwise_245"
top: "caffe.Eltwise_255"
}
layer {
name: "caffe.BN_256"
type: "BN"
bottom: "caffe.Eltwise_255"
top: "caffe.BN_256"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_257"
type: "ReLU"
bottom: "caffe.BN_256"
top: "caffe.BN_256"
}
layer {
name: "caffe.SpatialConvolution_258"
type: "Convolution"
bottom: "caffe.BN_256"
top: "caffe.SpatialConvolution_258"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_259"
type: "BN"
bottom: "caffe.SpatialConvolution_258"
top: "caffe.BN_259"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_260"
type: "ReLU"
bottom: "caffe.BN_259"
top: "caffe.BN_259"
}
layer {
name: "caffe.SpatialConvolution_261"
type: "Convolution"
bottom: "caffe.BN_259"
top: "caffe.SpatialConvolution_261"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_262"
type: "BN"
bottom: "caffe.SpatialConvolution_261"
top: "caffe.BN_262"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_263"
type: "ReLU"
bottom: "caffe.BN_262"
top: "caffe.BN_262"
}
layer {
name: "caffe.SpatialConvolution_264"
type: "Convolution"
bottom: "caffe.BN_262"
top: "caffe.SpatialConvolution_264"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_265"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_264"
bottom: "caffe.Eltwise_255"
top: "caffe.Eltwise_265"
}
layer {
name: "caffe.BN_266"
type: "BN"
bottom: "caffe.Eltwise_265"
top: "caffe.BN_266"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_267"
type: "ReLU"
bottom: "caffe.BN_266"
top: "caffe.BN_266"
}
layer {
name: "caffe.SpatialConvolution_268"
type: "Convolution"
bottom: "caffe.BN_266"
top: "caffe.SpatialConvolution_268"
convolution_param {
num_output: 128
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_269"
type: "BN"
bottom: "caffe.SpatialConvolution_268"
top: "caffe.BN_269"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_270"
type: "ReLU"
bottom: "caffe.BN_269"
top: "caffe.BN_269"
}
layer {
name: "caffe.SpatialConvolution_271"
type: "Convolution"
bottom: "caffe.BN_269"
top: "caffe.SpatialConvolution_271"
convolution_param {
num_output: 128
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_272"
type: "BN"
bottom: "caffe.SpatialConvolution_271"
top: "caffe.BN_272"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_273"
type: "ReLU"
bottom: "caffe.BN_272"
top: "caffe.BN_272"
}
layer {
name: "caffe.SpatialConvolution_274"
type: "Convolution"
bottom: "caffe.BN_272"
top: "caffe.SpatialConvolution_274"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_275"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_274"
bottom: "caffe.Eltwise_265"
top: "caffe.Eltwise_275"
}
layer {
name: "caffe.BN_276"
type: "BN"
bottom: "caffe.Eltwise_275"
top: "caffe.BN_276"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_277"
type: "ReLU"
bottom: "caffe.BN_276"
top: "caffe.BN_276"
}
layer {
name: "caffe.SpatialConvolution_278"
type: "Convolution"
bottom: "caffe.BN_276"
top: "caffe.SpatialConvolution_278"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_279"
type: "BN"
bottom: "caffe.SpatialConvolution_278"
top: "caffe.BN_279"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_280"
type: "ReLU"
bottom: "caffe.BN_279"
top: "caffe.BN_279"
}
layer {
name: "caffe.SpatialConvolution_281"
type: "Convolution"
bottom: "caffe.BN_279"
top: "caffe.SpatialConvolution_281"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 2
stride_w: 2
}
}
layer {
name: "caffe.BN_282"
type: "BN"
bottom: "caffe.SpatialConvolution_281"
top: "caffe.BN_282"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_283"
type: "ReLU"
bottom: "caffe.BN_282"
top: "caffe.BN_282"
}
layer {
name: "caffe.SpatialConvolution_284"
type: "Convolution"
bottom: "caffe.BN_282"
top: "caffe.SpatialConvolution_284"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.SpatialConvolution_285"
type: "Convolution"
bottom: "caffe.Eltwise_275"
top: "caffe.SpatialConvolution_285"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 2
stride_w: 2
}
}
layer {
name: "caffe.BN_286"
type: "BN"
bottom: "caffe.SpatialConvolution_285"
top: "caffe.BN_286"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.Eltwise_287"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_284"
bottom: "caffe.BN_286"
top: "caffe.Eltwise_287"
}
layer {
name: "caffe.BN_288"
type: "BN"
bottom: "caffe.Eltwise_287"
top: "caffe.BN_288"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_289"
type: "ReLU"
bottom: "caffe.BN_288"
top: "caffe.BN_288"
}
layer {
name: "caffe.SpatialConvolution_290"
type: "Convolution"
bottom: "caffe.BN_288"
top: "caffe.SpatialConvolution_290"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_291"
type: "BN"
bottom: "caffe.SpatialConvolution_290"
top: "caffe.BN_291"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_292"
type: "ReLU"
bottom: "caffe.BN_291"
top: "caffe.BN_291"
}
layer {
name: "caffe.SpatialConvolution_293"
type: "Convolution"
bottom: "caffe.BN_291"
top: "caffe.SpatialConvolution_293"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_294"
type: "BN"
bottom: "caffe.SpatialConvolution_293"
top: "caffe.BN_294"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_295"
type: "ReLU"
bottom: "caffe.BN_294"
top: "caffe.BN_294"
}
layer {
name: "caffe.SpatialConvolution_296"
type: "Convolution"
bottom: "caffe.BN_294"
top: "caffe.SpatialConvolution_296"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_297"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_296"
bottom: "caffe.Eltwise_287"
top: "caffe.Eltwise_297"
}
layer {
name: "caffe.BN_298"
type: "BN"
bottom: "caffe.Eltwise_297"
top: "caffe.BN_298"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_299"
type: "ReLU"
bottom: "caffe.BN_298"
top: "caffe.BN_298"
}
layer {
name: "caffe.SpatialConvolution_300"
type: "Convolution"
bottom: "caffe.BN_298"
top: "caffe.SpatialConvolution_300"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_301"
type: "BN"
bottom: "caffe.SpatialConvolution_300"
top: "caffe.BN_301"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_302"
type: "ReLU"
bottom: "caffe.BN_301"
top: "caffe.BN_301"
}
layer {
name: "caffe.SpatialConvolution_303"
type: "Convolution"
bottom: "caffe.BN_301"
top: "caffe.SpatialConvolution_303"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_304"
type: "BN"
bottom: "caffe.SpatialConvolution_303"
top: "caffe.BN_304"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_305"
type: "ReLU"
bottom: "caffe.BN_304"
top: "caffe.BN_304"
}
layer {
name: "caffe.SpatialConvolution_306"
type: "Convolution"
bottom: "caffe.BN_304"
top: "caffe.SpatialConvolution_306"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_307"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_306"
bottom: "caffe.Eltwise_297"
top: "caffe.Eltwise_307"
}
layer {
name: "caffe.BN_308"
type: "BN"
bottom: "caffe.Eltwise_307"
top: "caffe.BN_308"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_309"
type: "ReLU"
bottom: "caffe.BN_308"
top: "caffe.BN_308"
}
layer {
name: "caffe.SpatialConvolution_310"
type: "Convolution"
bottom: "caffe.BN_308"
top: "caffe.SpatialConvolution_310"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_311"
type: "BN"
bottom: "caffe.SpatialConvolution_310"
top: "caffe.BN_311"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_312"
type: "ReLU"
bottom: "caffe.BN_311"
top: "caffe.BN_311"
}
layer {
name: "caffe.SpatialConvolution_313"
type: "Convolution"
bottom: "caffe.BN_311"
top: "caffe.SpatialConvolution_313"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_314"
type: "BN"
bottom: "caffe.SpatialConvolution_313"
top: "caffe.BN_314"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_315"
type: "ReLU"
bottom: "caffe.BN_314"
top: "caffe.BN_314"
}
layer {
name: "caffe.SpatialConvolution_316"
type: "Convolution"
bottom: "caffe.BN_314"
top: "caffe.SpatialConvolution_316"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_317"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_316"
bottom: "caffe.Eltwise_307"
top: "caffe.Eltwise_317"
}
layer {
name: "caffe.BN_318"
type: "BN"
bottom: "caffe.Eltwise_317"
top: "caffe.BN_318"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_319"
type: "ReLU"
bottom: "caffe.BN_318"
top: "caffe.BN_318"
}
layer {
name: "caffe.SpatialConvolution_320"
type: "Convolution"
bottom: "caffe.BN_318"
top: "caffe.SpatialConvolution_320"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_321"
type: "BN"
bottom: "caffe.SpatialConvolution_320"
top: "caffe.BN_321"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_322"
type: "ReLU"
bottom: "caffe.BN_321"
top: "caffe.BN_321"
}
layer {
name: "caffe.SpatialConvolution_323"
type: "Convolution"
bottom: "caffe.BN_321"
top: "caffe.SpatialConvolution_323"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_324"
type: "BN"
bottom: "caffe.SpatialConvolution_323"
top: "caffe.BN_324"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_325"
type: "ReLU"
bottom: "caffe.BN_324"
top: "caffe.BN_324"
}
layer {
name: "caffe.SpatialConvolution_326"
type: "Convolution"
bottom: "caffe.BN_324"
top: "caffe.SpatialConvolution_326"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_327"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_326"
bottom: "caffe.Eltwise_317"
top: "caffe.Eltwise_327"
}
layer {
name: "caffe.BN_328"
type: "BN"
bottom: "caffe.Eltwise_327"
top: "caffe.BN_328"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_329"
type: "ReLU"
bottom: "caffe.BN_328"
top: "caffe.BN_328"
}
layer {
name: "caffe.SpatialConvolution_330"
type: "Convolution"
bottom: "caffe.BN_328"
top: "caffe.SpatialConvolution_330"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_331"
type: "BN"
bottom: "caffe.SpatialConvolution_330"
top: "caffe.BN_331"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_332"
type: "ReLU"
bottom: "caffe.BN_331"
top: "caffe.BN_331"
}
layer {
name: "caffe.SpatialConvolution_333"
type: "Convolution"
bottom: "caffe.BN_331"
top: "caffe.SpatialConvolution_333"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_334"
type: "BN"
bottom: "caffe.SpatialConvolution_333"
top: "caffe.BN_334"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_335"
type: "ReLU"
bottom: "caffe.BN_334"
top: "caffe.BN_334"
}
layer {
name: "caffe.SpatialConvolution_336"
type: "Convolution"
bottom: "caffe.BN_334"
top: "caffe.SpatialConvolution_336"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_337"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_336"
bottom: "caffe.Eltwise_327"
top: "caffe.Eltwise_337"
}
layer {
name: "caffe.BN_338"
type: "BN"
bottom: "caffe.Eltwise_337"
top: "caffe.BN_338"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_339"
type: "ReLU"
bottom: "caffe.BN_338"
top: "caffe.BN_338"
}
layer {
name: "caffe.SpatialConvolution_340"
type: "Convolution"
bottom: "caffe.BN_338"
top: "caffe.SpatialConvolution_340"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_341"
type: "BN"
bottom: "caffe.SpatialConvolution_340"
top: "caffe.BN_341"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_342"
type: "ReLU"
bottom: "caffe.BN_341"
top: "caffe.BN_341"
}
layer {
name: "caffe.SpatialConvolution_343"
type: "Convolution"
bottom: "caffe.BN_341"
top: "caffe.SpatialConvolution_343"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_344"
type: "BN"
bottom: "caffe.SpatialConvolution_343"
top: "caffe.BN_344"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_345"
type: "ReLU"
bottom: "caffe.BN_344"
top: "caffe.BN_344"
}
layer {
name: "caffe.SpatialConvolution_346"
type: "Convolution"
bottom: "caffe.BN_344"
top: "caffe.SpatialConvolution_346"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_347"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_346"
bottom: "caffe.Eltwise_337"
top: "caffe.Eltwise_347"
}
layer {
name: "caffe.BN_348"
type: "BN"
bottom: "caffe.Eltwise_347"
top: "caffe.BN_348"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_349"
type: "ReLU"
bottom: "caffe.BN_348"
top: "caffe.BN_348"
}
layer {
name: "caffe.SpatialConvolution_350"
type: "Convolution"
bottom: "caffe.BN_348"
top: "caffe.SpatialConvolution_350"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_351"
type: "BN"
bottom: "caffe.SpatialConvolution_350"
top: "caffe.BN_351"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_352"
type: "ReLU"
bottom: "caffe.BN_351"
top: "caffe.BN_351"
}
layer {
name: "caffe.SpatialConvolution_353"
type: "Convolution"
bottom: "caffe.BN_351"
top: "caffe.SpatialConvolution_353"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_354"
type: "BN"
bottom: "caffe.SpatialConvolution_353"
top: "caffe.BN_354"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_355"
type: "ReLU"
bottom: "caffe.BN_354"
top: "caffe.BN_354"
}
layer {
name: "caffe.SpatialConvolution_356"
type: "Convolution"
bottom: "caffe.BN_354"
top: "caffe.SpatialConvolution_356"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_357"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_356"
bottom: "caffe.Eltwise_347"
top: "caffe.Eltwise_357"
}
layer {
name: "caffe.BN_358"
type: "BN"
bottom: "caffe.Eltwise_357"
top: "caffe.BN_358"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_359"
type: "ReLU"
bottom: "caffe.BN_358"
top: "caffe.BN_358"
}
layer {
name: "caffe.SpatialConvolution_360"
type: "Convolution"
bottom: "caffe.BN_358"
top: "caffe.SpatialConvolution_360"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_361"
type: "BN"
bottom: "caffe.SpatialConvolution_360"
top: "caffe.BN_361"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_362"
type: "ReLU"
bottom: "caffe.BN_361"
top: "caffe.BN_361"
}
layer {
name: "caffe.SpatialConvolution_363"
type: "Convolution"
bottom: "caffe.BN_361"
top: "caffe.SpatialConvolution_363"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_364"
type: "BN"
bottom: "caffe.SpatialConvolution_363"
top: "caffe.BN_364"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_365"
type: "ReLU"
bottom: "caffe.BN_364"
top: "caffe.BN_364"
}
layer {
name: "caffe.SpatialConvolution_366"
type: "Convolution"
bottom: "caffe.BN_364"
top: "caffe.SpatialConvolution_366"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_367"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_366"
bottom: "caffe.Eltwise_357"
top: "caffe.Eltwise_367"
}
layer {
name: "caffe.BN_368"
type: "BN"
bottom: "caffe.Eltwise_367"
top: "caffe.BN_368"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_369"
type: "ReLU"
bottom: "caffe.BN_368"
top: "caffe.BN_368"
}
layer {
name: "caffe.SpatialConvolution_370"
type: "Convolution"
bottom: "caffe.BN_368"
top: "caffe.SpatialConvolution_370"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_371"
type: "BN"
bottom: "caffe.SpatialConvolution_370"
top: "caffe.BN_371"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_372"
type: "ReLU"
bottom: "caffe.BN_371"
top: "caffe.BN_371"
}
layer {
name: "caffe.SpatialConvolution_373"
type: "Convolution"
bottom: "caffe.BN_371"
top: "caffe.SpatialConvolution_373"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_374"
type: "BN"
bottom: "caffe.SpatialConvolution_373"
top: "caffe.BN_374"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_375"
type: "ReLU"
bottom: "caffe.BN_374"
top: "caffe.BN_374"
}
layer {
name: "caffe.SpatialConvolution_376"
type: "Convolution"
bottom: "caffe.BN_374"
top: "caffe.SpatialConvolution_376"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_377"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_376"
bottom: "caffe.Eltwise_367"
top: "caffe.Eltwise_377"
}
layer {
name: "caffe.BN_378"
type: "BN"
bottom: "caffe.Eltwise_377"
top: "caffe.BN_378"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_379"
type: "ReLU"
bottom: "caffe.BN_378"
top: "caffe.BN_378"
}
layer {
name: "caffe.SpatialConvolution_380"
type: "Convolution"
bottom: "caffe.BN_378"
top: "caffe.SpatialConvolution_380"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_381"
type: "BN"
bottom: "caffe.SpatialConvolution_380"
top: "caffe.BN_381"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_382"
type: "ReLU"
bottom: "caffe.BN_381"
top: "caffe.BN_381"
}
layer {
name: "caffe.SpatialConvolution_383"
type: "Convolution"
bottom: "caffe.BN_381"
top: "caffe.SpatialConvolution_383"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_384"
type: "BN"
bottom: "caffe.SpatialConvolution_383"
top: "caffe.BN_384"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_385"
type: "ReLU"
bottom: "caffe.BN_384"
top: "caffe.BN_384"
}
layer {
name: "caffe.SpatialConvolution_386"
type: "Convolution"
bottom: "caffe.BN_384"
top: "caffe.SpatialConvolution_386"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_387"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_386"
bottom: "caffe.Eltwise_377"
top: "caffe.Eltwise_387"
}
layer {
name: "caffe.BN_388"
type: "BN"
bottom: "caffe.Eltwise_387"
top: "caffe.BN_388"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_389"
type: "ReLU"
bottom: "caffe.BN_388"
top: "caffe.BN_388"
}
layer {
name: "caffe.SpatialConvolution_390"
type: "Convolution"
bottom: "caffe.BN_388"
top: "caffe.SpatialConvolution_390"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_391"
type: "BN"
bottom: "caffe.SpatialConvolution_390"
top: "caffe.BN_391"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_392"
type: "ReLU"
bottom: "caffe.BN_391"
top: "caffe.BN_391"
}
layer {
name: "caffe.SpatialConvolution_393"
type: "Convolution"
bottom: "caffe.BN_391"
top: "caffe.SpatialConvolution_393"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_394"
type: "BN"
bottom: "caffe.SpatialConvolution_393"
top: "caffe.BN_394"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_395"
type: "ReLU"
bottom: "caffe.BN_394"
top: "caffe.BN_394"
}
layer {
name: "caffe.SpatialConvolution_396"
type: "Convolution"
bottom: "caffe.BN_394"
top: "caffe.SpatialConvolution_396"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_397"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_396"
bottom: "caffe.Eltwise_387"
top: "caffe.Eltwise_397"
}
layer {
name: "caffe.BN_398"
type: "BN"
bottom: "caffe.Eltwise_397"
top: "caffe.BN_398"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_399"
type: "ReLU"
bottom: "caffe.BN_398"
top: "caffe.BN_398"
}
layer {
name: "caffe.SpatialConvolution_400"
type: "Convolution"
bottom: "caffe.BN_398"
top: "caffe.SpatialConvolution_400"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_401"
type: "BN"
bottom: "caffe.SpatialConvolution_400"
top: "caffe.BN_401"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_402"
type: "ReLU"
bottom: "caffe.BN_401"
top: "caffe.BN_401"
}
layer {
name: "caffe.SpatialConvolution_403"
type: "Convolution"
bottom: "caffe.BN_401"
top: "caffe.SpatialConvolution_403"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_404"
type: "BN"
bottom: "caffe.SpatialConvolution_403"
top: "caffe.BN_404"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_405"
type: "ReLU"
bottom: "caffe.BN_404"
top: "caffe.BN_404"
}
layer {
name: "caffe.SpatialConvolution_406"
type: "Convolution"
bottom: "caffe.BN_404"
top: "caffe.SpatialConvolution_406"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_407"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_406"
bottom: "caffe.Eltwise_397"
top: "caffe.Eltwise_407"
}
layer {
name: "caffe.BN_408"
type: "BN"
bottom: "caffe.Eltwise_407"
top: "caffe.BN_408"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_409"
type: "ReLU"
bottom: "caffe.BN_408"
top: "caffe.BN_408"
}
layer {
name: "caffe.SpatialConvolution_410"
type: "Convolution"
bottom: "caffe.BN_408"
top: "caffe.SpatialConvolution_410"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_411"
type: "BN"
bottom: "caffe.SpatialConvolution_410"
top: "caffe.BN_411"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_412"
type: "ReLU"
bottom: "caffe.BN_411"
top: "caffe.BN_411"
}
layer {
name: "caffe.SpatialConvolution_413"
type: "Convolution"
bottom: "caffe.BN_411"
top: "caffe.SpatialConvolution_413"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_414"
type: "BN"
bottom: "caffe.SpatialConvolution_413"
top: "caffe.BN_414"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_415"
type: "ReLU"
bottom: "caffe.BN_414"
top: "caffe.BN_414"
}
layer {
name: "caffe.SpatialConvolution_416"
type: "Convolution"
bottom: "caffe.BN_414"
top: "caffe.SpatialConvolution_416"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_417"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_416"
bottom: "caffe.Eltwise_407"
top: "caffe.Eltwise_417"
}
layer {
name: "caffe.BN_418"
type: "BN"
bottom: "caffe.Eltwise_417"
top: "caffe.BN_418"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_419"
type: "ReLU"
bottom: "caffe.BN_418"
top: "caffe.BN_418"
}
layer {
name: "caffe.SpatialConvolution_420"
type: "Convolution"
bottom: "caffe.BN_418"
top: "caffe.SpatialConvolution_420"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_421"
type: "BN"
bottom: "caffe.SpatialConvolution_420"
top: "caffe.BN_421"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_422"
type: "ReLU"
bottom: "caffe.BN_421"
top: "caffe.BN_421"
}
layer {
name: "caffe.SpatialConvolution_423"
type: "Convolution"
bottom: "caffe.BN_421"
top: "caffe.SpatialConvolution_423"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_424"
type: "BN"
bottom: "caffe.SpatialConvolution_423"
top: "caffe.BN_424"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_425"
type: "ReLU"
bottom: "caffe.BN_424"
top: "caffe.BN_424"
}
layer {
name: "caffe.SpatialConvolution_426"
type: "Convolution"
bottom: "caffe.BN_424"
top: "caffe.SpatialConvolution_426"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_427"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_426"
bottom: "caffe.Eltwise_417"
top: "caffe.Eltwise_427"
}
layer {
name: "caffe.BN_428"
type: "BN"
bottom: "caffe.Eltwise_427"
top: "caffe.BN_428"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_429"
type: "ReLU"
bottom: "caffe.BN_428"
top: "caffe.BN_428"
}
layer {
name: "caffe.SpatialConvolution_430"
type: "Convolution"
bottom: "caffe.BN_428"
top: "caffe.SpatialConvolution_430"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_431"
type: "BN"
bottom: "caffe.SpatialConvolution_430"
top: "caffe.BN_431"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_432"
type: "ReLU"
bottom: "caffe.BN_431"
top: "caffe.BN_431"
}
layer {
name: "caffe.SpatialConvolution_433"
type: "Convolution"
bottom: "caffe.BN_431"
top: "caffe.SpatialConvolution_433"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_434"
type: "BN"
bottom: "caffe.SpatialConvolution_433"
top: "caffe.BN_434"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_435"
type: "ReLU"
bottom: "caffe.BN_434"
top: "caffe.BN_434"
}
layer {
name: "caffe.SpatialConvolution_436"
type: "Convolution"
bottom: "caffe.BN_434"
top: "caffe.SpatialConvolution_436"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_437"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_436"
bottom: "caffe.Eltwise_427"
top: "caffe.Eltwise_437"
}
layer {
name: "caffe.BN_438"
type: "BN"
bottom: "caffe.Eltwise_437"
top: "caffe.BN_438"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_439"
type: "ReLU"
bottom: "caffe.BN_438"
top: "caffe.BN_438"
}
layer {
name: "caffe.SpatialConvolution_440"
type: "Convolution"
bottom: "caffe.BN_438"
top: "caffe.SpatialConvolution_440"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_441"
type: "BN"
bottom: "caffe.SpatialConvolution_440"
top: "caffe.BN_441"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_442"
type: "ReLU"
bottom: "caffe.BN_441"
top: "caffe.BN_441"
}
layer {
name: "caffe.SpatialConvolution_443"
type: "Convolution"
bottom: "caffe.BN_441"
top: "caffe.SpatialConvolution_443"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_444"
type: "BN"
bottom: "caffe.SpatialConvolution_443"
top: "caffe.BN_444"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_445"
type: "ReLU"
bottom: "caffe.BN_444"
top: "caffe.BN_444"
}
layer {
name: "caffe.SpatialConvolution_446"
type: "Convolution"
bottom: "caffe.BN_444"
top: "caffe.SpatialConvolution_446"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_447"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_446"
bottom: "caffe.Eltwise_437"
top: "caffe.Eltwise_447"
}
layer {
name: "caffe.BN_448"
type: "BN"
bottom: "caffe.Eltwise_447"
top: "caffe.BN_448"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_449"
type: "ReLU"
bottom: "caffe.BN_448"
top: "caffe.BN_448"
}
layer {
name: "caffe.SpatialConvolution_450"
type: "Convolution"
bottom: "caffe.BN_448"
top: "caffe.SpatialConvolution_450"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_451"
type: "BN"
bottom: "caffe.SpatialConvolution_450"
top: "caffe.BN_451"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_452"
type: "ReLU"
bottom: "caffe.BN_451"
top: "caffe.BN_451"
}
layer {
name: "caffe.SpatialConvolution_453"
type: "Convolution"
bottom: "caffe.BN_451"
top: "caffe.SpatialConvolution_453"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_454"
type: "BN"
bottom: "caffe.SpatialConvolution_453"
top: "caffe.BN_454"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_455"
type: "ReLU"
bottom: "caffe.BN_454"
top: "caffe.BN_454"
}
layer {
name: "caffe.SpatialConvolution_456"
type: "Convolution"
bottom: "caffe.BN_454"
top: "caffe.SpatialConvolution_456"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_457"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_456"
bottom: "caffe.Eltwise_447"
top: "caffe.Eltwise_457"
}
layer {
name: "caffe.BN_458"
type: "BN"
bottom: "caffe.Eltwise_457"
top: "caffe.BN_458"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_459"
type: "ReLU"
bottom: "caffe.BN_458"
top: "caffe.BN_458"
}
layer {
name: "caffe.SpatialConvolution_460"
type: "Convolution"
bottom: "caffe.BN_458"
top: "caffe.SpatialConvolution_460"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_461"
type: "BN"
bottom: "caffe.SpatialConvolution_460"
top: "caffe.BN_461"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_462"
type: "ReLU"
bottom: "caffe.BN_461"
top: "caffe.BN_461"
}
layer {
name: "caffe.SpatialConvolution_463"
type: "Convolution"
bottom: "caffe.BN_461"
top: "caffe.SpatialConvolution_463"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_464"
type: "BN"
bottom: "caffe.SpatialConvolution_463"
top: "caffe.BN_464"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_465"
type: "ReLU"
bottom: "caffe.BN_464"
top: "caffe.BN_464"
}
layer {
name: "caffe.SpatialConvolution_466"
type: "Convolution"
bottom: "caffe.BN_464"
top: "caffe.SpatialConvolution_466"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_467"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_466"
bottom: "caffe.Eltwise_457"
top: "caffe.Eltwise_467"
}
layer {
name: "caffe.BN_468"
type: "BN"
bottom: "caffe.Eltwise_467"
top: "caffe.BN_468"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_469"
type: "ReLU"
bottom: "caffe.BN_468"
top: "caffe.BN_468"
}
layer {
name: "caffe.SpatialConvolution_470"
type: "Convolution"
bottom: "caffe.BN_468"
top: "caffe.SpatialConvolution_470"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_471"
type: "BN"
bottom: "caffe.SpatialConvolution_470"
top: "caffe.BN_471"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_472"
type: "ReLU"
bottom: "caffe.BN_471"
top: "caffe.BN_471"
}
layer {
name: "caffe.SpatialConvolution_473"
type: "Convolution"
bottom: "caffe.BN_471"
top: "caffe.SpatialConvolution_473"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_474"
type: "BN"
bottom: "caffe.SpatialConvolution_473"
top: "caffe.BN_474"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_475"
type: "ReLU"
bottom: "caffe.BN_474"
top: "caffe.BN_474"
}
layer {
name: "caffe.SpatialConvolution_476"
type: "Convolution"
bottom: "caffe.BN_474"
top: "caffe.SpatialConvolution_476"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_477"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_476"
bottom: "caffe.Eltwise_467"
top: "caffe.Eltwise_477"
}
layer {
name: "caffe.BN_478"
type: "BN"
bottom: "caffe.Eltwise_477"
top: "caffe.BN_478"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_479"
type: "ReLU"
bottom: "caffe.BN_478"
top: "caffe.BN_478"
}
layer {
name: "caffe.SpatialConvolution_480"
type: "Convolution"
bottom: "caffe.BN_478"
top: "caffe.SpatialConvolution_480"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_481"
type: "BN"
bottom: "caffe.SpatialConvolution_480"
top: "caffe.BN_481"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_482"
type: "ReLU"
bottom: "caffe.BN_481"
top: "caffe.BN_481"
}
layer {
name: "caffe.SpatialConvolution_483"
type: "Convolution"
bottom: "caffe.BN_481"
top: "caffe.SpatialConvolution_483"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_484"
type: "BN"
bottom: "caffe.SpatialConvolution_483"
top: "caffe.BN_484"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_485"
type: "ReLU"
bottom: "caffe.BN_484"
top: "caffe.BN_484"
}
layer {
name: "caffe.SpatialConvolution_486"
type: "Convolution"
bottom: "caffe.BN_484"
top: "caffe.SpatialConvolution_486"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_487"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_486"
bottom: "caffe.Eltwise_477"
top: "caffe.Eltwise_487"
}
layer {
name: "caffe.BN_488"
type: "BN"
bottom: "caffe.Eltwise_487"
top: "caffe.BN_488"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_489"
type: "ReLU"
bottom: "caffe.BN_488"
top: "caffe.BN_488"
}
layer {
name: "caffe.SpatialConvolution_490"
type: "Convolution"
bottom: "caffe.BN_488"
top: "caffe.SpatialConvolution_490"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_491"
type: "BN"
bottom: "caffe.SpatialConvolution_490"
top: "caffe.BN_491"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_492"
type: "ReLU"
bottom: "caffe.BN_491"
top: "caffe.BN_491"
}
layer {
name: "caffe.SpatialConvolution_493"
type: "Convolution"
bottom: "caffe.BN_491"
top: "caffe.SpatialConvolution_493"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_494"
type: "BN"
bottom: "caffe.SpatialConvolution_493"
top: "caffe.BN_494"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_495"
type: "ReLU"
bottom: "caffe.BN_494"
top: "caffe.BN_494"
}
layer {
name: "caffe.SpatialConvolution_496"
type: "Convolution"
bottom: "caffe.BN_494"
top: "caffe.SpatialConvolution_496"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_497"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_496"
bottom: "caffe.Eltwise_487"
top: "caffe.Eltwise_497"
}
layer {
name: "caffe.BN_498"
type: "BN"
bottom: "caffe.Eltwise_497"
top: "caffe.BN_498"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_499"
type: "ReLU"
bottom: "caffe.BN_498"
top: "caffe.BN_498"
}
layer {
name: "caffe.SpatialConvolution_500"
type: "Convolution"
bottom: "caffe.BN_498"
top: "caffe.SpatialConvolution_500"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_501"
type: "BN"
bottom: "caffe.SpatialConvolution_500"
top: "caffe.BN_501"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_502"
type: "ReLU"
bottom: "caffe.BN_501"
top: "caffe.BN_501"
}
layer {
name: "caffe.SpatialConvolution_503"
type: "Convolution"
bottom: "caffe.BN_501"
top: "caffe.SpatialConvolution_503"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_504"
type: "BN"
bottom: "caffe.SpatialConvolution_503"
top: "caffe.BN_504"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_505"
type: "ReLU"
bottom: "caffe.BN_504"
top: "caffe.BN_504"
}
layer {
name: "caffe.SpatialConvolution_506"
type: "Convolution"
bottom: "caffe.BN_504"
top: "caffe.SpatialConvolution_506"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_507"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_506"
bottom: "caffe.Eltwise_497"
top: "caffe.Eltwise_507"
}
layer {
name: "caffe.BN_508"
type: "BN"
bottom: "caffe.Eltwise_507"
top: "caffe.BN_508"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_509"
type: "ReLU"
bottom: "caffe.BN_508"
top: "caffe.BN_508"
}
layer {
name: "caffe.SpatialConvolution_510"
type: "Convolution"
bottom: "caffe.BN_508"
top: "caffe.SpatialConvolution_510"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_511"
type: "BN"
bottom: "caffe.SpatialConvolution_510"
top: "caffe.BN_511"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_512"
type: "ReLU"
bottom: "caffe.BN_511"
top: "caffe.BN_511"
}
layer {
name: "caffe.SpatialConvolution_513"
type: "Convolution"
bottom: "caffe.BN_511"
top: "caffe.SpatialConvolution_513"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_514"
type: "BN"
bottom: "caffe.SpatialConvolution_513"
top: "caffe.BN_514"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_515"
type: "ReLU"
bottom: "caffe.BN_514"
top: "caffe.BN_514"
}
layer {
name: "caffe.SpatialConvolution_516"
type: "Convolution"
bottom: "caffe.BN_514"
top: "caffe.SpatialConvolution_516"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_517"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_516"
bottom: "caffe.Eltwise_507"
top: "caffe.Eltwise_517"
}
layer {
name: "caffe.BN_518"
type: "BN"
bottom: "caffe.Eltwise_517"
top: "caffe.BN_518"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_519"
type: "ReLU"
bottom: "caffe.BN_518"
top: "caffe.BN_518"
}
layer {
name: "caffe.SpatialConvolution_520"
type: "Convolution"
bottom: "caffe.BN_518"
top: "caffe.SpatialConvolution_520"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_521"
type: "BN"
bottom: "caffe.SpatialConvolution_520"
top: "caffe.BN_521"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_522"
type: "ReLU"
bottom: "caffe.BN_521"
top: "caffe.BN_521"
}
layer {
name: "caffe.SpatialConvolution_523"
type: "Convolution"
bottom: "caffe.BN_521"
top: "caffe.SpatialConvolution_523"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_524"
type: "BN"
bottom: "caffe.SpatialConvolution_523"
top: "caffe.BN_524"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_525"
type: "ReLU"
bottom: "caffe.BN_524"
top: "caffe.BN_524"
}
layer {
name: "caffe.SpatialConvolution_526"
type: "Convolution"
bottom: "caffe.BN_524"
top: "caffe.SpatialConvolution_526"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_527"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_526"
bottom: "caffe.Eltwise_517"
top: "caffe.Eltwise_527"
}
layer {
name: "caffe.BN_528"
type: "BN"
bottom: "caffe.Eltwise_527"
top: "caffe.BN_528"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_529"
type: "ReLU"
bottom: "caffe.BN_528"
top: "caffe.BN_528"
}
layer {
name: "caffe.SpatialConvolution_530"
type: "Convolution"
bottom: "caffe.BN_528"
top: "caffe.SpatialConvolution_530"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_531"
type: "BN"
bottom: "caffe.SpatialConvolution_530"
top: "caffe.BN_531"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_532"
type: "ReLU"
bottom: "caffe.BN_531"
top: "caffe.BN_531"
}
layer {
name: "caffe.SpatialConvolution_533"
type: "Convolution"
bottom: "caffe.BN_531"
top: "caffe.SpatialConvolution_533"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_534"
type: "BN"
bottom: "caffe.SpatialConvolution_533"
top: "caffe.BN_534"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_535"
type: "ReLU"
bottom: "caffe.BN_534"
top: "caffe.BN_534"
}
layer {
name: "caffe.SpatialConvolution_536"
type: "Convolution"
bottom: "caffe.BN_534"
top: "caffe.SpatialConvolution_536"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_537"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_536"
bottom: "caffe.Eltwise_527"
top: "caffe.Eltwise_537"
}
layer {
name: "caffe.BN_538"
type: "BN"
bottom: "caffe.Eltwise_537"
top: "caffe.BN_538"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_539"
type: "ReLU"
bottom: "caffe.BN_538"
top: "caffe.BN_538"
}
layer {
name: "caffe.SpatialConvolution_540"
type: "Convolution"
bottom: "caffe.BN_538"
top: "caffe.SpatialConvolution_540"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_541"
type: "BN"
bottom: "caffe.SpatialConvolution_540"
top: "caffe.BN_541"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_542"
type: "ReLU"
bottom: "caffe.BN_541"
top: "caffe.BN_541"
}
layer {
name: "caffe.SpatialConvolution_543"
type: "Convolution"
bottom: "caffe.BN_541"
top: "caffe.SpatialConvolution_543"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_544"
type: "BN"
bottom: "caffe.SpatialConvolution_543"
top: "caffe.BN_544"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_545"
type: "ReLU"
bottom: "caffe.BN_544"
top: "caffe.BN_544"
}
layer {
name: "caffe.SpatialConvolution_546"
type: "Convolution"
bottom: "caffe.BN_544"
top: "caffe.SpatialConvolution_546"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_547"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_546"
bottom: "caffe.Eltwise_537"
top: "caffe.Eltwise_547"
}
layer {
name: "caffe.BN_548"
type: "BN"
bottom: "caffe.Eltwise_547"
top: "caffe.BN_548"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_549"
type: "ReLU"
bottom: "caffe.BN_548"
top: "caffe.BN_548"
}
layer {
name: "caffe.SpatialConvolution_550"
type: "Convolution"
bottom: "caffe.BN_548"
top: "caffe.SpatialConvolution_550"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_551"
type: "BN"
bottom: "caffe.SpatialConvolution_550"
top: "caffe.BN_551"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_552"
type: "ReLU"
bottom: "caffe.BN_551"
top: "caffe.BN_551"
}
layer {
name: "caffe.SpatialConvolution_553"
type: "Convolution"
bottom: "caffe.BN_551"
top: "caffe.SpatialConvolution_553"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_554"
type: "BN"
bottom: "caffe.SpatialConvolution_553"
top: "caffe.BN_554"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_555"
type: "ReLU"
bottom: "caffe.BN_554"
top: "caffe.BN_554"
}
layer {
name: "caffe.SpatialConvolution_556"
type: "Convolution"
bottom: "caffe.BN_554"
top: "caffe.SpatialConvolution_556"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_557"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_556"
bottom: "caffe.Eltwise_547"
top: "caffe.Eltwise_557"
}
layer {
name: "caffe.BN_558"
type: "BN"
bottom: "caffe.Eltwise_557"
top: "caffe.BN_558"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_559"
type: "ReLU"
bottom: "caffe.BN_558"
top: "caffe.BN_558"
}
layer {
name: "caffe.SpatialConvolution_560"
type: "Convolution"
bottom: "caffe.BN_558"
top: "caffe.SpatialConvolution_560"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_561"
type: "BN"
bottom: "caffe.SpatialConvolution_560"
top: "caffe.BN_561"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_562"
type: "ReLU"
bottom: "caffe.BN_561"
top: "caffe.BN_561"
}
layer {
name: "caffe.SpatialConvolution_563"
type: "Convolution"
bottom: "caffe.BN_561"
top: "caffe.SpatialConvolution_563"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_564"
type: "BN"
bottom: "caffe.SpatialConvolution_563"
top: "caffe.BN_564"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_565"
type: "ReLU"
bottom: "caffe.BN_564"
top: "caffe.BN_564"
}
layer {
name: "caffe.SpatialConvolution_566"
type: "Convolution"
bottom: "caffe.BN_564"
top: "caffe.SpatialConvolution_566"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_567"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_566"
bottom: "caffe.Eltwise_557"
top: "caffe.Eltwise_567"
}
layer {
name: "caffe.BN_568"
type: "BN"
bottom: "caffe.Eltwise_567"
top: "caffe.BN_568"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_569"
type: "ReLU"
bottom: "caffe.BN_568"
top: "caffe.BN_568"
}
layer {
name: "caffe.SpatialConvolution_570"
type: "Convolution"
bottom: "caffe.BN_568"
top: "caffe.SpatialConvolution_570"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_571"
type: "BN"
bottom: "caffe.SpatialConvolution_570"
top: "caffe.BN_571"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_572"
type: "ReLU"
bottom: "caffe.BN_571"
top: "caffe.BN_571"
}
layer {
name: "caffe.SpatialConvolution_573"
type: "Convolution"
bottom: "caffe.BN_571"
top: "caffe.SpatialConvolution_573"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_574"
type: "BN"
bottom: "caffe.SpatialConvolution_573"
top: "caffe.BN_574"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_575"
type: "ReLU"
bottom: "caffe.BN_574"
top: "caffe.BN_574"
}
layer {
name: "caffe.SpatialConvolution_576"
type: "Convolution"
bottom: "caffe.BN_574"
top: "caffe.SpatialConvolution_576"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_577"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_576"
bottom: "caffe.Eltwise_567"
top: "caffe.Eltwise_577"
}
layer {
name: "caffe.BN_578"
type: "BN"
bottom: "caffe.Eltwise_577"
top: "caffe.BN_578"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_579"
type: "ReLU"
bottom: "caffe.BN_578"
top: "caffe.BN_578"
}
layer {
name: "caffe.SpatialConvolution_580"
type: "Convolution"
bottom: "caffe.BN_578"
top: "caffe.SpatialConvolution_580"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_581"
type: "BN"
bottom: "caffe.SpatialConvolution_580"
top: "caffe.BN_581"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_582"
type: "ReLU"
bottom: "caffe.BN_581"
top: "caffe.BN_581"
}
layer {
name: "caffe.SpatialConvolution_583"
type: "Convolution"
bottom: "caffe.BN_581"
top: "caffe.SpatialConvolution_583"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_584"
type: "BN"
bottom: "caffe.SpatialConvolution_583"
top: "caffe.BN_584"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_585"
type: "ReLU"
bottom: "caffe.BN_584"
top: "caffe.BN_584"
}
layer {
name: "caffe.SpatialConvolution_586"
type: "Convolution"
bottom: "caffe.BN_584"
top: "caffe.SpatialConvolution_586"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_587"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_586"
bottom: "caffe.Eltwise_577"
top: "caffe.Eltwise_587"
}
layer {
name: "caffe.BN_588"
type: "BN"
bottom: "caffe.Eltwise_587"
top: "caffe.BN_588"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_589"
type: "ReLU"
bottom: "caffe.BN_588"
top: "caffe.BN_588"
}
layer {
name: "caffe.SpatialConvolution_590"
type: "Convolution"
bottom: "caffe.BN_588"
top: "caffe.SpatialConvolution_590"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_591"
type: "BN"
bottom: "caffe.SpatialConvolution_590"
top: "caffe.BN_591"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_592"
type: "ReLU"
bottom: "caffe.BN_591"
top: "caffe.BN_591"
}
layer {
name: "caffe.SpatialConvolution_593"
type: "Convolution"
bottom: "caffe.BN_591"
top: "caffe.SpatialConvolution_593"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_594"
type: "BN"
bottom: "caffe.SpatialConvolution_593"
top: "caffe.BN_594"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_595"
type: "ReLU"
bottom: "caffe.BN_594"
top: "caffe.BN_594"
}
layer {
name: "caffe.SpatialConvolution_596"
type: "Convolution"
bottom: "caffe.BN_594"
top: "caffe.SpatialConvolution_596"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_597"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_596"
bottom: "caffe.Eltwise_587"
top: "caffe.Eltwise_597"
}
layer {
name: "caffe.BN_598"
type: "BN"
bottom: "caffe.Eltwise_597"
top: "caffe.BN_598"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_599"
type: "ReLU"
bottom: "caffe.BN_598"
top: "caffe.BN_598"
}
layer {
name: "caffe.SpatialConvolution_600"
type: "Convolution"
bottom: "caffe.BN_598"
top: "caffe.SpatialConvolution_600"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_601"
type: "BN"
bottom: "caffe.SpatialConvolution_600"
top: "caffe.BN_601"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_602"
type: "ReLU"
bottom: "caffe.BN_601"
top: "caffe.BN_601"
}
layer {
name: "caffe.SpatialConvolution_603"
type: "Convolution"
bottom: "caffe.BN_601"
top: "caffe.SpatialConvolution_603"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_604"
type: "BN"
bottom: "caffe.SpatialConvolution_603"
top: "caffe.BN_604"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_605"
type: "ReLU"
bottom: "caffe.BN_604"
top: "caffe.BN_604"
}
layer {
name: "caffe.SpatialConvolution_606"
type: "Convolution"
bottom: "caffe.BN_604"
top: "caffe.SpatialConvolution_606"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_607"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_606"
bottom: "caffe.Eltwise_597"
top: "caffe.Eltwise_607"
}
layer {
name: "caffe.BN_608"
type: "BN"
bottom: "caffe.Eltwise_607"
top: "caffe.BN_608"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_609"
type: "ReLU"
bottom: "caffe.BN_608"
top: "caffe.BN_608"
}
layer {
name: "caffe.SpatialConvolution_610"
type: "Convolution"
bottom: "caffe.BN_608"
top: "caffe.SpatialConvolution_610"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_611"
type: "BN"
bottom: "caffe.SpatialConvolution_610"
top: "caffe.BN_611"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_612"
type: "ReLU"
bottom: "caffe.BN_611"
top: "caffe.BN_611"
}
layer {
name: "caffe.SpatialConvolution_613"
type: "Convolution"
bottom: "caffe.BN_611"
top: "caffe.SpatialConvolution_613"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_614"
type: "BN"
bottom: "caffe.SpatialConvolution_613"
top: "caffe.BN_614"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_615"
type: "ReLU"
bottom: "caffe.BN_614"
top: "caffe.BN_614"
}
layer {
name: "caffe.SpatialConvolution_616"
type: "Convolution"
bottom: "caffe.BN_614"
top: "caffe.SpatialConvolution_616"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_617"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_616"
bottom: "caffe.Eltwise_607"
top: "caffe.Eltwise_617"
}
layer {
name: "caffe.BN_618"
type: "BN"
bottom: "caffe.Eltwise_617"
top: "caffe.BN_618"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_619"
type: "ReLU"
bottom: "caffe.BN_618"
top: "caffe.BN_618"
}
layer {
name: "caffe.SpatialConvolution_620"
type: "Convolution"
bottom: "caffe.BN_618"
top: "caffe.SpatialConvolution_620"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_621"
type: "BN"
bottom: "caffe.SpatialConvolution_620"
top: "caffe.BN_621"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_622"
type: "ReLU"
bottom: "caffe.BN_621"
top: "caffe.BN_621"
}
layer {
name: "caffe.SpatialConvolution_623"
type: "Convolution"
bottom: "caffe.BN_621"
top: "caffe.SpatialConvolution_623"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_624"
type: "BN"
bottom: "caffe.SpatialConvolution_623"
top: "caffe.BN_624"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_625"
type: "ReLU"
bottom: "caffe.BN_624"
top: "caffe.BN_624"
}
layer {
name: "caffe.SpatialConvolution_626"
type: "Convolution"
bottom: "caffe.BN_624"
top: "caffe.SpatialConvolution_626"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_627"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_626"
bottom: "caffe.Eltwise_617"
top: "caffe.Eltwise_627"
}
layer {
name: "caffe.BN_628"
type: "BN"
bottom: "caffe.Eltwise_627"
top: "caffe.BN_628"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_629"
type: "ReLU"
bottom: "caffe.BN_628"
top: "caffe.BN_628"
}
layer {
name: "caffe.SpatialConvolution_630"
type: "Convolution"
bottom: "caffe.BN_628"
top: "caffe.SpatialConvolution_630"
convolution_param {
num_output: 256
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_631"
type: "BN"
bottom: "caffe.SpatialConvolution_630"
top: "caffe.BN_631"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_632"
type: "ReLU"
bottom: "caffe.BN_631"
top: "caffe.BN_631"
}
layer {
name: "caffe.SpatialConvolution_633"
type: "Convolution"
bottom: "caffe.BN_631"
top: "caffe.SpatialConvolution_633"
convolution_param {
num_output: 256
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_634"
type: "BN"
bottom: "caffe.SpatialConvolution_633"
top: "caffe.BN_634"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_635"
type: "ReLU"
bottom: "caffe.BN_634"
top: "caffe.BN_634"
}
layer {
name: "caffe.SpatialConvolution_636"
type: "Convolution"
bottom: "caffe.BN_634"
top: "caffe.SpatialConvolution_636"
convolution_param {
num_output: 1024
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_637"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_636"
bottom: "caffe.Eltwise_627"
top: "caffe.Eltwise_637"
}
layer {
name: "caffe.BN_638"
type: "BN"
bottom: "caffe.Eltwise_637"
top: "caffe.BN_638"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_639"
type: "ReLU"
bottom: "caffe.BN_638"
top: "caffe.BN_638"
}
layer {
name: "caffe.SpatialConvolution_640"
type: "Convolution"
bottom: "caffe.BN_638"
top: "caffe.SpatialConvolution_640"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_641"
type: "BN"
bottom: "caffe.SpatialConvolution_640"
top: "caffe.BN_641"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_642"
type: "ReLU"
bottom: "caffe.BN_641"
top: "caffe.BN_641"
}
layer {
name: "caffe.SpatialConvolution_643"
type: "Convolution"
bottom: "caffe.BN_641"
top: "caffe.SpatialConvolution_643"
convolution_param {
num_output: 512
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 2
stride_w: 2
}
}
layer {
name: "caffe.BN_644"
type: "BN"
bottom: "caffe.SpatialConvolution_643"
top: "caffe.BN_644"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_645"
type: "ReLU"
bottom: "caffe.BN_644"
top: "caffe.BN_644"
}
layer {
name: "caffe.SpatialConvolution_646"
type: "Convolution"
bottom: "caffe.BN_644"
top: "caffe.SpatialConvolution_646"
convolution_param {
num_output: 2048
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.SpatialConvolution_647"
type: "Convolution"
bottom: "caffe.Eltwise_637"
top: "caffe.SpatialConvolution_647"
convolution_param {
num_output: 2048
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 2
stride_w: 2
}
}
layer {
name: "caffe.BN_648"
type: "BN"
bottom: "caffe.SpatialConvolution_647"
top: "caffe.BN_648"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.Eltwise_649"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_646"
bottom: "caffe.BN_648"
top: "caffe.Eltwise_649"
}
layer {
name: "caffe.BN_650"
type: "BN"
bottom: "caffe.Eltwise_649"
top: "caffe.BN_650"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_651"
type: "ReLU"
bottom: "caffe.BN_650"
top: "caffe.BN_650"
}
layer {
name: "caffe.SpatialConvolution_652"
type: "Convolution"
bottom: "caffe.BN_650"
top: "caffe.SpatialConvolution_652"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_653"
type: "BN"
bottom: "caffe.SpatialConvolution_652"
top: "caffe.BN_653"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_654"
type: "ReLU"
bottom: "caffe.BN_653"
top: "caffe.BN_653"
}
layer {
name: "caffe.SpatialConvolution_655"
type: "Convolution"
bottom: "caffe.BN_653"
top: "caffe.SpatialConvolution_655"
convolution_param {
num_output: 512
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_656"
type: "BN"
bottom: "caffe.SpatialConvolution_655"
top: "caffe.BN_656"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_657"
type: "ReLU"
bottom: "caffe.BN_656"
top: "caffe.BN_656"
}
layer {
name: "caffe.SpatialConvolution_658"
type: "Convolution"
bottom: "caffe.BN_656"
top: "caffe.SpatialConvolution_658"
convolution_param {
num_output: 2048
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_659"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_658"
bottom: "caffe.Eltwise_649"
top: "caffe.Eltwise_659"
}
layer {
name: "caffe.BN_660"
type: "BN"
bottom: "caffe.Eltwise_659"
top: "caffe.BN_660"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_661"
type: "ReLU"
bottom: "caffe.BN_660"
top: "caffe.BN_660"
}
layer {
name: "caffe.SpatialConvolution_662"
type: "Convolution"
bottom: "caffe.BN_660"
top: "caffe.SpatialConvolution_662"
convolution_param {
num_output: 512
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_663"
type: "BN"
bottom: "caffe.SpatialConvolution_662"
top: "caffe.BN_663"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_664"
type: "ReLU"
bottom: "caffe.BN_663"
top: "caffe.BN_663"
}
layer {
name: "caffe.SpatialConvolution_665"
type: "Convolution"
bottom: "caffe.BN_663"
top: "caffe.SpatialConvolution_665"
convolution_param {
num_output: 512
bias_term: false
pad_h: 1
pad_w: 1
kernel_h: 3
kernel_w: 3
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.BN_666"
type: "BN"
bottom: "caffe.SpatialConvolution_665"
top: "caffe.BN_666"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_667"
type: "ReLU"
bottom: "caffe.BN_666"
top: "caffe.BN_666"
}
layer {
name: "caffe.SpatialConvolution_668"
type: "Convolution"
bottom: "caffe.BN_666"
top: "caffe.SpatialConvolution_668"
convolution_param {
num_output: 2048
bias_term: false
pad_h: 0
pad_w: 0
kernel_h: 1
kernel_w: 1
stride_h: 1
stride_w: 1
}
}
layer {
name: "caffe.Eltwise_669"
type: "Eltwise"
bottom: "caffe.SpatialConvolution_668"
bottom: "caffe.Eltwise_659"
top: "caffe.Eltwise_669"
}
layer {
name: "caffe.BN_670"
type: "BN"
bottom: "caffe.Eltwise_669"
top: "caffe.BN_670"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
bn_param {
slope_filler {
value: 1
}
bias_filler {
value: 0
}
}
}
layer {
name: "caffe.ReLU_671"
type: "ReLU"
bottom: "caffe.BN_670"
top: "caffe.BN_670"
}
layer {
name: "caffe.Pooling_672"
type: "Pooling"
bottom: "caffe.BN_670"
top: "caffe.Pooling_672"
pooling_param {
pool: AVE
global_pooling: true
stride_h: 1
stride_w: 1
pad_h: 0
pad_w: 0
}
}
layer {
name: "caffe.Flatten_673"
type: "Flatten"
bottom: "caffe.Pooling_672"
top: "caffe.Flatten_673"
}
layer {
name: "caffe.Dropout_674"
type: "Dropout"
bottom: "caffe.Flatten_673"
top: "caffe.Flatten_673"
exclude {
phase: TEST
}
dropout_param {
dropout_ratio: 0.7
}
}
layer {
name: "caffe.InnerProduct_675"
type: "InnerProduct"
bottom: "caffe.Flatten_673"
top: "fc-action"
inner_product_param {
num_output: 200
axis: -1
}
}
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