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ashutoshsatapathy1990/Xception50.prototxt (NVIDIA DIGITS)

Created July 14, 2019 04:28
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Xception50.prototxt (NVIDIA DIGITS)
#Xception50
name: "Xception50"
layer {
name: "train-data"
type: "Data"
top: "data"
top: "label"
transform_param {
mirror: true
crop_size: 224
}
data_param {
batch_size: 32
}
include { stage: "train" }
}
layer {
name: "val-data"
type: "Data"
top: "data"
top: "label"
transform_param {
mirror: false
crop_size: 224
}
data_param {
batch_size: 16
}
include { stage: "val" }
}
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 3
kernel_size: 7
stride: 2
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_conv1"
type: "BatchNorm"
bottom: "conv1"
top: "bn_conv1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "conv1_relu"
type: "ReLU"
bottom: "bn_conv1"
top: "bn_conv1"
}
layer {
name: "pool1"
type: "Pooling"
bottom: "bn_conv1"
top: "pool1"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "interstellar2a_branch1_s"
type: "Convolution"
bottom: "pool1"
top: "interstellar2a_branch1_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
group: 64
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2a_branch1"
type: "Convolution"
bottom: "interstellar2a_branch1_s"
top: "interstellar2a_branch1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar2a_branch1"
type: "BatchNorm"
bottom: "interstellar2a_branch1"
top: "bn_interstellar2a_branch1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2a_branch2a_s"
type: "Convolution"
bottom: "pool1"
top: "interstellar2a_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 64
pad: 1
kernel_size: 3
group: 64
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2a_branch2a"
type: "Convolution"
bottom: "interstellar2a_branch2a_s"
top: "interstellar2a_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar2a_branch2a"
type: "BatchNorm"
bottom: "interstellar2a_branch2a"
top: "bn_interstellar2a_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2a_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar2a_branch2a"
top: "bn_interstellar2a_branch2a"
}
layer {
name: "interstellar2a_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar2a_branch2a"
top: "interstellar2a_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
group: 128
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2a_branch2b"
type: "Convolution"
bottom: "interstellar2a_branch2b_s"
top: "interstellar2a_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar2a_branch2b"
type: "BatchNorm"
bottom: "interstellar2a_branch2b"
top: "bn_interstellar2a_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2a_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar2a_branch2b"
top: "bn_interstellar2a_branch2b"
}
layer {
name: "interstellar2a_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar2a_branch2b"
top: "interstellar2a_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
group: 128
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2a_branch2c"
type: "Convolution"
bottom: "interstellar2a_branch2c_s"
top: "interstellar2a_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 1
decay_mult: 2
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar2a_branch2c"
type: "BatchNorm"
bottom: "interstellar2a_branch2c"
top: "bn_interstellar2a_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2a"
type: "Eltwise"
bottom: "bn_interstellar2a_branch2c"
bottom: "bn_interstellar2a_branch1"
top: "interstellar2a"
}
layer {
name: "interstellar2a_relu"
type: "ReLU"
bottom: "interstellar2a"
top: "interstellar2a"
}
layer {
name: "interstellar2b_branch2a_s"
type: "Convolution"
bottom: "interstellar2a"
top: "interstellar2b_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 256
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2b_branch2a"
type: "Convolution"
bottom: "interstellar2b_branch2a_s"
top: "interstellar2b_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar2b_branch2a"
type: "BatchNorm"
bottom: "interstellar2b_branch2a"
top: "bn_interstellar2b_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2b_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar2b_branch2a"
top: "bn_interstellar2b_branch2a"
}
layer {
name: "interstellar2b_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar2b_branch2a"
top: "interstellar2b_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
group: 128
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2b_branch2b"
type: "Convolution"
bottom: "interstellar2b_branch2b_s"
top: "interstellar2b_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar2b_branch2b"
type: "BatchNorm"
bottom: "interstellar2b_branch2b"
top: "bn_interstellar2b_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2b_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar2b_branch2b"
top: "bn_interstellar2b_branch2b"
}
layer {
name: "interstellar2b_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar2b_branch2b"
top: "interstellar2b_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
group: 128
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2b_branch2c"
type: "Convolution"
bottom: "interstellar2b_branch2c_s"
top: "interstellar2b_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar2b_branch2c"
type: "BatchNorm"
bottom: "interstellar2b_branch2c"
top: "bn_interstellar2b_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2b"
type: "Eltwise"
bottom: "bn_interstellar2b_branch2c"
bottom: "interstellar2a"
top: "interstellar2b"
}
layer {
name: "interstellar2b_relu"
type: "ReLU"
bottom: "interstellar2b"
top: "interstellar2b"
}
layer {
name: "interstellar2c_branch2a_s"
type: "Convolution"
bottom: "interstellar2b"
top: "interstellar2c_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 256
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2c_branch2a"
type: "Convolution"
bottom: "interstellar2c_branch2a_s"
top: "interstellar2c_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar2c_branch2a"
type: "BatchNorm"
bottom: "interstellar2c_branch2a"
top: "bn_interstellar2c_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2c_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar2c_branch2a"
top: "bn_interstellar2c_branch2a"
}
layer {
name: "interstellar2c_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar2c_branch2a"
top: "interstellar2c_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
group: 128
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2c_branch2b"
type: "Convolution"
bottom: "interstellar2c_branch2b_s"
top: "interstellar2c_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar2c_branch2b"
type: "BatchNorm"
bottom: "interstellar2c_branch2b"
top: "bn_interstellar2c_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2c_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar2c_branch2b"
top: "bn_interstellar2c_branch2b"
}
layer {
name: "interstellar2c_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar2c_branch2b"
top: "interstellar2c_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 128
pad: 1
kernel_size: 3
group: 128
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2c_branch2c"
type: "Convolution"
bottom: "interstellar2c_branch2c_s"
top: "interstellar2c_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar2c_branch2c"
type: "BatchNorm"
bottom: "interstellar2c_branch2c"
top: "bn_interstellar2c_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar2c"
type: "Eltwise"
bottom: "bn_interstellar2c_branch2c"
bottom: "interstellar2b"
top: "interstellar2c"
}
layer {
name: "interstellar2c_relu"
type: "ReLU"
bottom: "interstellar2c"
top: "interstellar2c"
}
layer {
name: "interstellar3a_branch1_s"
type: "Convolution"
bottom: "interstellar2c"
top: "interstellar3a_branch1_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 256
stride: 2
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3a_branch1"
type: "Convolution"
bottom: "interstellar3a_branch1_s"
top: "interstellar3a_branch1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar3a_branch1"
type: "BatchNorm"
bottom: "interstellar3a_branch1"
top: "bn_interstellar3a_branch1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3a_branch2a_s"
type: "Convolution"
bottom: "interstellar2c"
top: "interstellar3a_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 256
stride: 2
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3a_branch2a"
type: "Convolution"
bottom: "interstellar3a_branch2a_s"
top: "interstellar3a_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar3a_branch2a"
type: "BatchNorm"
bottom: "interstellar3a_branch2a"
top: "bn_interstellar3a_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3a_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar3a_branch2a"
top: "bn_interstellar3a_branch2a"
}
layer {
name: "interstellar3a_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar3a_branch2a"
top: "interstellar3a_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 256
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3a_branch2b"
type: "Convolution"
bottom: "interstellar3a_branch2b_s"
top: "interstellar3a_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar3a_branch2b"
type: "BatchNorm"
bottom: "interstellar3a_branch2b"
top: "bn_interstellar3a_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3a_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar3a_branch2b"
top: "bn_interstellar3a_branch2b"
}
layer {
name: "interstellar3a_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar3a_branch2b"
top: "interstellar3a_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 256
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3a_branch2c"
type: "Convolution"
bottom: "interstellar3a_branch2c_s"
top: "interstellar3a_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar3a_branch2c"
type: "BatchNorm"
bottom: "interstellar3a_branch2c"
top: "bn_interstellar3a_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3a"
type: "Eltwise"
bottom: "bn_interstellar3a_branch2c"
bottom: "bn_interstellar3a_branch1"
top: "interstellar3a"
}
layer {
name: "interstellar3a_relu"
type: "ReLU"
bottom: "interstellar3a"
top: "interstellar3a"
}
layer {
name: "interstellar3b_branch2a_s"
type: "Convolution"
bottom: "interstellar3a"
top: "interstellar3b_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3b_branch2a"
type: "Convolution"
bottom: "interstellar3b_branch2a_s"
top: "interstellar3b_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar3b_branch2a"
type: "BatchNorm"
bottom: "interstellar3b_branch2a"
top: "bn_interstellar3b_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3b_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar3b_branch2a"
top: "bn_interstellar3b_branch2a"
}
layer {
name: "interstellar3b_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar3b_branch2a"
top: "interstellar3b_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 256
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3b_branch2b"
type: "Convolution"
bottom: "interstellar3b_branch2b_s"
top: "interstellar3b_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar3b_branch2b"
type: "BatchNorm"
bottom: "interstellar3b_branch2b"
top: "bn_interstellar3b_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3b_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar3b_branch2b"
top: "bn_interstellar3b_branch2b"
}
layer {
name: "interstellar3b_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar3b_branch2b"
top: "interstellar3b_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 256
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3b_branch2c"
type: "Convolution"
bottom: "interstellar3b_branch2c_s"
top: "interstellar3b_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar3b_branch2c"
type: "BatchNorm"
bottom: "interstellar3b_branch2c"
top: "bn_interstellar3b_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3b"
type: "Eltwise"
bottom: "bn_interstellar3b_branch2c"
bottom: "interstellar3a"
top: "interstellar3b"
}
layer {
name: "interstellar3b_relu"
type: "ReLU"
bottom: "interstellar3b"
top: "interstellar3b"
}
layer {
name: "interstellar3c_branch2a_s"
type: "Convolution"
bottom: "interstellar3b"
top: "interstellar3c_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3c_branch2a"
type: "Convolution"
bottom: "interstellar3c_branch2a_s"
top: "interstellar3c_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar3c_branch2a"
type: "BatchNorm"
bottom: "interstellar3c_branch2a"
top: "bn_interstellar3c_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3c_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar3c_branch2a"
top: "bn_interstellar3c_branch2a"
}
layer {
name: "interstellar3c_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar3c_branch2a"
top: "interstellar3c_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 256
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3c_branch2b"
type: "Convolution"
bottom: "interstellar3c_branch2b_s"
top: "interstellar3c_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar3c_branch2b"
type: "BatchNorm"
bottom: "interstellar3c_branch2b"
top: "bn_interstellar3c_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3c_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar3c_branch2b"
top: "bn_interstellar3c_branch2b"
}
layer {
name: "interstellar3c_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar3c_branch2b"
top: "interstellar3c_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 256
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3c_branch2c"
type: "Convolution"
bottom: "interstellar3c_branch2c_s"
top: "interstellar3c_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar3c_branch2c"
type: "BatchNorm"
bottom: "interstellar3c_branch2c"
top: "bn_interstellar3c_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3c"
type: "Eltwise"
bottom: "bn_interstellar3c_branch2c"
bottom: "interstellar3b"
top: "interstellar3c"
}
layer {
name: "interstellar3c_relu"
type: "ReLU"
bottom: "interstellar3c"
top: "interstellar3c"
}
layer {
name: "interstellar3d_branch2a_s"
type: "Convolution"
bottom: "interstellar3c"
top: "interstellar3d_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3d_branch2a"
type: "Convolution"
bottom: "interstellar3d_branch2a_s"
top: "interstellar3d_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar3d_branch2a"
type: "BatchNorm"
bottom: "interstellar3d_branch2a"
top: "bn_interstellar3d_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3d_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar3d_branch2a"
top: "bn_interstellar3d_branch2a"
}
layer {
name: "interstellar3d_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar3d_branch2a"
top: "interstellar3d_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 256
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3d_branch2b"
type: "Convolution"
bottom: "interstellar3d_branch2b_s"
top: "interstellar3d_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar3d_branch2b"
type: "BatchNorm"
bottom: "interstellar3d_branch2b"
top: "bn_interstellar3d_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3d_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar3d_branch2b"
top: "bn_interstellar3d_branch2b"
}
layer {
name: "interstellar3d_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar3d_branch2b"
top: "interstellar3d_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 1
kernel_size: 3
group: 256
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3d_branch2c"
type: "Convolution"
bottom: "interstellar3d_branch2c_s"
top: "interstellar3d_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar3d_branch2c"
type: "BatchNorm"
bottom: "interstellar3d_branch2c"
top: "bn_interstellar3d_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar3d"
type: "Eltwise"
bottom: "bn_interstellar3d_branch2c"
bottom: "interstellar3c"
top: "interstellar3d"
}
layer {
name: "interstellar3d_relu"
type: "ReLU"
bottom: "interstellar3d"
top: "interstellar3d"
}
layer {
name: "interstellar4a_branch1_s"
type: "Convolution"
bottom: "interstellar3d"
top: "interstellar4a_branch1_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 2
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4a_branch1"
type: "Convolution"
bottom: "interstellar4a_branch1_s"
top: "interstellar4a_branch1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4a_branch1"
type: "BatchNorm"
bottom: "interstellar4a_branch1"
top: "bn_interstellar4a_branch1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4a_branch2a_s"
type: "Convolution"
bottom: "interstellar3d"
top: "interstellar4a_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 2
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4a_branch2a"
type: "Convolution"
bottom: "interstellar4a_branch2a_s"
top: "interstellar4a_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4a_branch2a"
type: "BatchNorm"
bottom: "interstellar4a_branch2a"
top: "bn_interstellar4a_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4a_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar4a_branch2a"
top: "bn_interstellar4a_branch2a"
}
layer {
name: "interstellar4a_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar4a_branch2a"
top: "interstellar4a_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4a_branch2b"
type: "Convolution"
bottom: "interstellar4a_branch2b_s"
top: "interstellar4a_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4a_branch2b"
type: "BatchNorm"
bottom: "interstellar4a_branch2b"
top: "bn_interstellar4a_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4a_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar4a_branch2b"
top: "bn_interstellar4a_branch2b"
}
layer {
name: "interstellar4a_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar4a_branch2b"
top: "interstellar4a_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4a_branch2c"
type: "Convolution"
bottom: "interstellar4a_branch2c_s"
top: "interstellar4a_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4a_branch2c"
type: "BatchNorm"
bottom: "interstellar4a_branch2c"
top: "bn_interstellar4a_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4a"
type: "Eltwise"
bottom: "bn_interstellar4a_branch2c"
bottom: "bn_interstellar4a_branch1"
top: "interstellar4a"
}
layer {
name: "interstellar4a_relu"
type: "ReLU"
bottom: "interstellar4a"
top: "interstellar4a"
}
layer {
name: "interstellar4b_branch2a_s"
type: "Convolution"
bottom: "interstellar4a"
top: "interstellar4b_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 1
kernel_size: 3
group: 1024
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4b_branch2a"
type: "Convolution"
bottom: "interstellar4b_branch2a_s"
top: "interstellar4b_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4b_branch2a"
type: "BatchNorm"
bottom: "interstellar4b_branch2a"
top: "bn_interstellar4b_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4b_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar4b_branch2a"
top: "bn_interstellar4b_branch2a"
}
layer {
name: "interstellar4b_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar4b_branch2a"
top: "interstellar4b_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4b_branch2b"
type: "Convolution"
bottom: "interstellar4b_branch2b_s"
top: "interstellar4b_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4b_branch2b"
type: "BatchNorm"
bottom: "interstellar4b_branch2b"
top: "bn_interstellar4b_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4b_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar4b_branch2b"
top: "bn_interstellar4b_branch2b"
}
layer {
name: "interstellar4b_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar4b_branch2b"
top: "interstellar4b_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4b_branch2c"
type: "Convolution"
bottom: "interstellar4b_branch2c_s"
top: "interstellar4b_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4b_branch2c"
type: "BatchNorm"
bottom: "interstellar4b_branch2c"
top: "bn_interstellar4b_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4b"
type: "Eltwise"
bottom: "bn_interstellar4b_branch2c"
bottom: "interstellar4a"
top: "interstellar4b"
}
layer {
name: "interstellar4b_relu"
type: "ReLU"
bottom: "interstellar4b"
top: "interstellar4b"
}
layer {
name: "interstellar4c_branch2a_s"
type: "Convolution"
bottom: "interstellar4b"
top: "interstellar4c_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 1
kernel_size: 3
group: 1024
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4c_branch2a"
type: "Convolution"
bottom: "interstellar4c_branch2a_s"
top: "interstellar4c_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4c_branch2a"
type: "BatchNorm"
bottom: "interstellar4c_branch2a"
top: "bn_interstellar4c_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4c_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar4c_branch2a"
top: "bn_interstellar4c_branch2a"
}
layer {
name: "interstellar4c_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar4c_branch2a"
top: "interstellar4c_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4c_branch2b"
type: "Convolution"
bottom: "interstellar4c_branch2b_s"
top: "interstellar4c_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4c_branch2b"
type: "BatchNorm"
bottom: "interstellar4c_branch2b"
top: "bn_interstellar4c_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4c_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar4c_branch2b"
top: "bn_interstellar4c_branch2b"
}
layer {
name: "interstellar4c_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar4c_branch2b"
top: "interstellar4c_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4c_branch2c"
type: "Convolution"
bottom: "interstellar4c_branch2c_s"
top: "interstellar4c_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4c_branch2c"
type: "BatchNorm"
bottom: "interstellar4c_branch2c"
top: "bn_interstellar4c_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4c"
type: "Eltwise"
bottom: "bn_interstellar4c_branch2c"
bottom: "interstellar4b"
top: "interstellar4c"
}
layer {
name: "interstellar4c_relu"
type: "ReLU"
bottom: "interstellar4c"
top: "interstellar4c"
}
layer {
name: "interstellar4d_branch2a_s"
type: "Convolution"
bottom: "interstellar4c"
top: "interstellar4d_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 1
kernel_size: 3
group: 1024
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4d_branch2a"
type: "Convolution"
bottom: "interstellar4d_branch2a_s"
top: "interstellar4d_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4d_branch2a"
type: "BatchNorm"
bottom: "interstellar4d_branch2a"
top: "bn_interstellar4d_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4d_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar4d_branch2a"
top: "bn_interstellar4d_branch2a"
}
layer {
name: "interstellar4d_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar4d_branch2a"
top: "interstellar4d_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4d_branch2b"
type: "Convolution"
bottom: "interstellar4d_branch2b_s"
top: "interstellar4d_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4d_branch2b"
type: "BatchNorm"
bottom: "interstellar4d_branch2b"
top: "bn_interstellar4d_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4d_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar4d_branch2b"
top: "bn_interstellar4d_branch2b"
}
layer {
name: "interstellar4d_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar4d_branch2b"
top: "interstellar4d_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4d_branch2c"
type: "Convolution"
bottom: "interstellar4d_branch2c_s"
top: "interstellar4d_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4d_branch2c"
type: "BatchNorm"
bottom: "interstellar4d_branch2c"
top: "bn_interstellar4d_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4d"
type: "Eltwise"
bottom: "bn_interstellar4d_branch2c"
bottom: "interstellar4c"
top: "interstellar4d"
}
layer {
name: "interstellar4d_relu"
type: "ReLU"
bottom: "interstellar4d"
top: "interstellar4d"
}
layer {
name: "interstellar4e_branch2a_s"
type: "Convolution"
bottom: "interstellar4d"
top: "interstellar4e_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 1
kernel_size: 3
group: 1024
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4e_branch2a"
type: "Convolution"
bottom: "interstellar4e_branch2a_s"
top: "interstellar4e_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4e_branch2a"
type: "BatchNorm"
bottom: "interstellar4e_branch2a"
top: "bn_interstellar4e_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4e_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar4e_branch2a"
top: "bn_interstellar4e_branch2a"
}
layer {
name: "interstellar4e_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar4e_branch2a"
top: "interstellar4e_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4e_branch2b"
type: "Convolution"
bottom: "interstellar4e_branch2b_s"
top: "interstellar4e_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4e_branch2b"
type: "BatchNorm"
bottom: "interstellar4e_branch2b"
top: "bn_interstellar4e_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4e_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar4e_branch2b"
top: "bn_interstellar4e_branch2b"
}
layer {
name: "interstellar4e_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar4e_branch2b"
top: "interstellar4e_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4e_branch2c"
type: "Convolution"
bottom: "interstellar4e_branch2c_s"
top: "interstellar4e_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4e_branch2c"
type: "BatchNorm"
bottom: "interstellar4e_branch2c"
top: "bn_interstellar4e_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4e"
type: "Eltwise"
bottom: "bn_interstellar4e_branch2c"
bottom: "interstellar4d"
top: "interstellar4e"
}
layer {
name: "interstellar4e_relu"
type: "ReLU"
bottom: "interstellar4e"
top: "interstellar4e"
}
layer {
name: "interstellar4f_branch2a_s"
type: "Convolution"
bottom: "interstellar4e"
top: "interstellar4f_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 1
kernel_size: 3
group: 1024
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4f_branch2a"
type: "Convolution"
bottom: "interstellar4f_branch2a_s"
top: "interstellar4f_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4f_branch2a"
type: "BatchNorm"
bottom: "interstellar4f_branch2a"
top: "bn_interstellar4f_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4f_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar4f_branch2a"
top: "bn_interstellar4f_branch2a"
}
layer {
name: "interstellar4f_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar4f_branch2a"
top: "interstellar4f_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4f_branch2b"
type: "Convolution"
bottom: "interstellar4f_branch2b_s"
top: "interstellar4f_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4f_branch2b"
type: "BatchNorm"
bottom: "interstellar4f_branch2b"
top: "bn_interstellar4f_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4f_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar4f_branch2b"
top: "bn_interstellar4f_branch2b"
}
layer {
name: "interstellar4f_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar4f_branch2b"
top: "interstellar4f_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 512
pad: 1
kernel_size: 3
group: 512
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4f_branch2c"
type: "Convolution"
bottom: "interstellar4f_branch2c_s"
top: "interstellar4f_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar4f_branch2c"
type: "BatchNorm"
bottom: "interstellar4f_branch2c"
top: "bn_interstellar4f_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar4f"
type: "Eltwise"
bottom: "bn_interstellar4f_branch2c"
bottom: "interstellar4e"
top: "interstellar4f"
}
layer {
name: "interstellar4f_relu"
type: "ReLU"
bottom: "interstellar4f"
top: "interstellar4f"
}
layer {
name: "interstellar5a_branch1_s"
type: "Convolution"
bottom: "interstellar4f"
top: "interstellar5a_branch1_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 1
kernel_size: 3
group: 1024
stride: 2
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5a_branch1"
type: "Convolution"
bottom: "interstellar5a_branch1_s"
top: "interstellar5a_branch1"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 2048
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar5a_branch1"
type: "BatchNorm"
bottom: "interstellar5a_branch1"
top: "bn_interstellar5a_branch1"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5a_branch2a_s"
type: "Convolution"
bottom: "interstellar4f"
top: "interstellar5a_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 1
kernel_size: 3
group: 1024
stride: 2
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5a_branch2a"
type: "Convolution"
bottom: "interstellar5a_branch2a_s"
top: "interstellar5a_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar5a_branch2a"
type: "BatchNorm"
bottom: "interstellar5a_branch2a"
top: "bn_interstellar5a_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5a_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar5a_branch2a"
top: "bn_interstellar5a_branch2a"
}
layer {
name: "interstellar5a_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar5a_branch2a"
top: "interstellar5a_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 1
kernel_size: 3
group: 1024
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5a_branch2b"
type: "Convolution"
bottom: "interstellar5a_branch2b_s"
top: "interstellar5a_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar5a_branch2b"
type: "BatchNorm"
bottom: "interstellar5a_branch2b"
top: "bn_interstellar5a_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5a_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar5a_branch2b"
top: "bn_interstellar5a_branch2b"
}
layer {
name: "interstellar5a_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar5a_branch2b"
top: "interstellar5a_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 1
kernel_size: 3
group: 1024
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5a_branch2c"
type: "Convolution"
bottom: "interstellar5a_branch2c_s"
top: "interstellar5a_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 2048
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar5a_branch2c"
type: "BatchNorm"
bottom: "interstellar5a_branch2c"
top: "bn_interstellar5a_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5a"
type: "Eltwise"
bottom: "bn_interstellar5a_branch2c"
bottom: "bn_interstellar5a_branch1"
top: "interstellar5a"
}
layer {
name: "interstellar5a_relu"
type: "ReLU"
bottom: "interstellar5a"
top: "interstellar5a"
}
layer {
name: "interstellar5b_branch2a_s"
type: "Convolution"
bottom: "interstellar5a"
top: "interstellar5b_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 2048
pad: 1
kernel_size: 3
group: 2048
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5b_branch2a"
type: "Convolution"
bottom: "interstellar5b_branch2a_s"
top: "interstellar5b_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar5b_branch2a"
type: "BatchNorm"
bottom: "interstellar5b_branch2a"
top: "bn_interstellar5b_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5b_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar5b_branch2a"
top: "bn_interstellar5b_branch2a"
}
layer {
name: "interstellar5b_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar5b_branch2a"
top: "interstellar5b_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 1
kernel_size: 3
group: 1024
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5b_branch2b"
type: "Convolution"
bottom: "interstellar5b_branch2b_s"
top: "interstellar5b_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar5b_branch2b"
type: "BatchNorm"
bottom: "interstellar5b_branch2b"
top: "bn_interstellar5b_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5b_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar5b_branch2b"
top: "bn_interstellar5b_branch2b"
}
layer {
name: "interstellar5b_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar5b_branch2b"
top: "interstellar5b_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 1
kernel_size: 3
group: 1024
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5b_branch2c"
type: "Convolution"
bottom: "interstellar5b_branch2c_s"
top: "interstellar5b_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 2048
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar5b_branch2c"
type: "BatchNorm"
bottom: "interstellar5b_branch2c"
top: "bn_interstellar5b_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5b"
type: "Eltwise"
bottom: "bn_interstellar5b_branch2c"
bottom: "interstellar5a"
top: "interstellar5b"
}
layer {
name: "interstellar5b_relu"
type: "ReLU"
bottom: "interstellar5b"
top: "interstellar5b"
}
layer {
name: "interstellar5c_branch2a_s"
type: "Convolution"
bottom: "interstellar5b"
top: "interstellar5c_branch2a_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 2048
pad: 1
kernel_size: 3
group: 2048
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5c_branch2a"
type: "Convolution"
bottom: "interstellar5c_branch2a_s"
top: "interstellar5c_branch2a"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar5c_branch2a"
type: "BatchNorm"
bottom: "interstellar5c_branch2a"
top: "bn_interstellar5c_branch2a"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5c_branch2a_relu"
type: "ReLU"
bottom: "bn_interstellar5c_branch2a"
top: "bn_interstellar5c_branch2a"
}
layer {
name: "interstellar5c_branch2b_s"
type: "Convolution"
bottom: "bn_interstellar5c_branch2a"
top: "interstellar5c_branch2b_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 1
kernel_size: 3
group: 1024
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5c_branch2b"
type: "Convolution"
bottom: "interstellar5c_branch2b_s"
top: "interstellar5c_branch2b"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar5c_branch2b"
type: "BatchNorm"
bottom: "interstellar5c_branch2b"
top: "bn_interstellar5c_branch2b"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5c_branch2b_relu"
type: "ReLU"
bottom: "bn_interstellar5c_branch2b"
top: "bn_interstellar5c_branch2b"
}
layer {
name: "interstellar5c_branch2c_s"
type: "Convolution"
bottom: "bn_interstellar5c_branch2b"
top: "interstellar5c_branch2c_s"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 1024
pad: 1
kernel_size: 3
group: 1024
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5c_branch2c"
type: "Convolution"
bottom: "interstellar5c_branch2c_s"
top: "interstellar5c_branch2c"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 2048
pad: 0
kernel_size: 1
stride: 1
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "bn_interstellar5c_branch2c"
type: "BatchNorm"
bottom: "interstellar5c_branch2c"
top: "bn_interstellar5c_branch2c"
param {
lr_mult: 1
decay_mult: 0
}
param {
lr_mult: 1
decay_mult: 0
}
batch_norm_param {
scale_filler {
type: "constant"
value: 1
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "interstellar5c"
type: "Eltwise"
bottom: "bn_interstellar5c_branch2c"
bottom: "interstellar5b"
top: "interstellar5c"
}
layer {
name: "interstellar5c_relu"
type: "ReLU"
bottom: "interstellar5c"
top: "interstellar5c"
}
layer {
name: "pool5"
type: "Pooling"
bottom: "interstellar5c"
top: "pool5"
pooling_param {
pool: AVE
kernel_size: 7
}
}
layer {
name: "fclayer"
type: "InnerProduct"
bottom: "pool5"
top: "fclayer"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
inner_product_param {
weight_filler {
type: "msra"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "accuracy"
type: "Accuracy"
bottom: "fclayer"
bottom: "label"
top: "accuracy"
include { stage: "val" }
}
layer {
name: "loss"
type: "SoftmaxWithLoss"
bottom: "fclayer"
bottom: "label"
top: "loss"
exclude { stage: "deploy" }
}
layer {
name: "softmax"
type: "Softmax"
bottom: "fclayer"
top: "softmax"
include { stage: "deploy" }
}
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