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Ali MassahKiani
Jun 9, 2017, 6:43:58 AM6/9/17
to Caffe Users
when i want run caffe exception occur. caffe output:
I0609 15:11:37.034447 10992 caffe.cpp:219] Using GPUs 0
I0609 15:11:37.660609 10992 caffe.cpp:224] GPU 0: GeForce GTX 960M
I0609 15:11:38.004349 10992 common.cpp:36] System entropy source not available, using fallback algorithm to generate seed instead.
I0609 15:11:38.035588 10992 solver.cpp:44] Initializing solver from parameters:
test_iter: 18
test_interval: 500
base_lr: 0.0015
display: 500
max_iter: 200000
lr_policy: "step"
gamma: 0.95
momentum: 0.9
weight_decay: 0.0005
stepsize: 5000
snapshot: 5000
snapshot_prefix: "D:/Deep/eye/snapShot/eye"
solver_mode: GPU
device_id: 0
net: "D:/Deep/eye/caffe/eye_network.prototxt"
train_state {
level: 0
stage: ""
}
type: "AdaDelta"
I0609 15:11:38.035588 10992 solver.cpp:87] Creating training net from net file: D:/Deep/eye/caffe/eye_network.prototxt
I0609 15:11:38.035588 10992 net.cpp:294] The NetState phase (0) differed from the phase (1) specified by a rule in layer data
I0609 15:11:38.035588 10992 net.cpp:294] The NetState phase (0) differed from the phase (1) specified by a rule in layer accuracy
I0609 15:11:38.035588 10992 net.cpp:51] Initializing net from parameters:
name: "CaffeNet"
state {
phase: TRAIN
level: 0
stage: ""
}
layer {
name: "data"
type: "Data"
top: "data"
top: "label"
include {
phase: TRAIN
}
transform_param {
mirror: true
mean_file: "D:/Deep/eye/MeanFiles/mean.binaryproto"
}
data_param {
source: "D:/Deep/eye/DataBases/train"
batch_size: 64
backend: LMDB
}
}
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: 96
kernel_size: 11
stride: 4
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "relu1"
type: "ReLU"
bottom: "conv1"
top: "conv1"
}
layer {
name: "pool1"
type: "Pooling"
bottom: "conv1"
top: "pool1"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "norm1"
type: "LRN"
bottom: "pool1"
top: "norm1"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "conv2"
type: "Convolution"
bottom: "norm1"
top: "conv2"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 256
pad: 2
kernel_size: 5
group: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu2"
type: "ReLU"
bottom: "conv2"
top: "conv2"
}
layer {
name: "pool2"
type: "Pooling"
bottom: "conv2"
top: "pool2"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "norm2"
type: "LRN"
bottom: "pool2"
top: "norm2"
lrn_param {
local_size: 5
alpha: 0.0001
beta: 0.75
}
}
layer {
name: "conv3"
type: "Convolution"
bottom: "norm2"
top: "conv3"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 384
pad: 1
kernel_size: 3
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "relu3"
type: "ReLU"
bottom: "conv3"
top: "conv3"
}
layer {
name: "conv4"
type: "Convolution"
bottom: "conv3"
top: "conv4"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
convolution_param {
num_output: 384
pad: 1
kernel_size: 3
group: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu4"
type: "ReLU"
bottom: "conv4"
top: "conv4"
}
layer {
name: "conv5"
type: "Convolution"
bottom: "conv4"
top: "conv5"
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: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu5"
type: "ReLU"
bottom: "conv5"
top: "conv5"
}
layer {
name: "pool5"
type: "Pooling"
bottom: "conv5"
top: "pool5"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "fc6"
type: "InnerProduct"
bottom: "pool5"
top: "fc6"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
inner_product_param {
num_output: 4096
weight_filler {
type: "gaussian"
std: 0.005
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu6"
type: "ReLU"
bottom: "fc6"
top: "fc6"
}
layer {
name: "drop6"
type: "Dropout"
bottom: "fc6"
top: "fc6"
dropout_param {
dropout_ratio: 0.5
}
}
layer {
name: "fc7"
type: "InnerProduct"
bottom: "fc6"
top: "fc7"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
inner_product_param {
num_output: 4096
weight_filler {
type: "gaussian"
std: 0.005
}
bias_filler {
type: "constant"
value: 1
}
}
}
layer {
name: "relu7"
type: "ReLU"
bottom: "fc7"
top: "fc7"
}
layer {
name: "drop7"
type: "Dropout"
bottom: "fc7"
top: "fc7"
dropout_param {
dropout_ratio: 0.5
}
}
layer {
name: "fc8"
type: "InnerProduct"
bottom: "fc7"
top: "fc8"
param {
lr_mult: 1
decay_mult: 1
}
param {
lr_mult: 2
decay_mult: 0
}
inner_product_param {
num_output: 2
weight_filler {
type: "gaussian"
std: 0.01
}
bias_filler {
type: "constant"
value: 0
}
}
}
layer {
name: "loss"
type: "SoftmaxWithLoss"
bottom: "fc8"
bottom: "label"
top: "loss"
}
I0609 15:11:38.035588 10992 layer_factory.cpp:66] Creating layer data
I0609 15:11:38.035588 10992 db_lmdb.cpp:40] Opened lmdb D:/Deep/eye/DataBases/train
I0609 15:11:38.035588 10992 net.cpp:84] Creating Layer data
I0609 15:11:38.035588 10992 net.cpp:380] data -> data
I0609 15:11:38.035588 10992 net.cpp:380] data -> label
I0609 15:11:38.035588 10992 data_transformer.cpp:25] Loading mean file from: D:/Deep/eye/MeanFiles/mean.binaryproto
I0609 15:11:38.051213 10992 common.cpp:36] System entropy source not available, using fallback algorithm to generate seed instead.
I0609 15:11:38.051213 10992 data_layer.cpp:45] output data size: 64,3,24,24
I0609 15:11:38.066792 10992 net.cpp:122] Setting up data
I0609 15:11:38.066792 10992 net.cpp:129] Top shape: 64 3 24 24 (110592)
I0609 15:11:38.066792 10992 net.cpp:129] Top shape: 64 (64)
I0609 15:11:38.066792 10992 net.cpp:137] Memory required for data: 442624
I0609 15:11:38.066792 10992 layer_factory.cpp:66] Creating layer conv1
I0609 15:11:38.066792 12248 common.cpp:36] System entropy source not available, using fallback algorithm to generate seed instead.
I0609 15:11:38.066792 10992 net.cpp:84] Creating Layer conv1
I0609 15:11:38.066792 10992 net.cpp:406] conv1 <- data
I0609 15:11:38.066792 10992 net.cpp:380] conv1 -> conv1
I0609 15:11:38.066792 10992 net.cpp:122] Setting up conv1
I0609 15:11:38.082458 10992 net.cpp:129] Top shape: 64 96 4 4 (98304)
I0609 15:11:38.082458 10992 net.cpp:137] Memory required for data: 835840
I0609 15:11:38.082458 10992 layer_factory.cpp:66] Creating layer relu1
I0609 15:11:38.098103 10992 net.cpp:84] Creating Layer relu1
I0609 15:11:38.098103 10992 net.cpp:406] relu1 <- conv1
I0609 15:11:38.098103 10992 net.cpp:367] relu1 -> conv1 (in-place)
I0609 15:11:38.098103 10992 net.cpp:122] Setting up relu1
I0609 15:11:38.098103 10992 net.cpp:129] Top shape: 64 96 4 4 (98304)
I0609 15:11:38.098103 10992 net.cpp:137] Memory required for data: 1229056
I0609 15:11:38.098103 10992 layer_factory.cpp:66] Creating layer pool1
I0609 15:11:38.098103 10992 net.cpp:84] Creating Layer pool1
I0609 15:11:38.098103 10992 net.cpp:406] pool1 <- conv1
I0609 15:11:38.098103 10992 net.cpp:380] pool1 -> pool1
I0609 15:11:38.098103 10992 net.cpp:122] Setting up pool1
I0609 15:11:38.098103 10992 net.cpp:129] Top shape: 64 96 2 2 (24576)
I0609 15:11:38.098103 10992 net.cpp:137] Memory required for data: 1327360
I0609 15:11:38.098103 10992 layer_factory.cpp:66] Creating layer norm1
I0609 15:11:38.098103 10992 net.cpp:84] Creating Layer norm1
I0609 15:11:38.098103 10992 net.cpp:406] norm1 <- pool1
I0609 15:11:38.098103 10992 net.cpp:380] norm1 -> norm1
I0609 15:11:38.113674 10992 net.cpp:122] Setting up norm1
I0609 15:11:38.113674 10992 net.cpp:129] Top shape: 64 96 2 2 (24576)
I0609 15:11:38.113674 10992 net.cpp:137] Memory required for data: 1425664
I0609 15:11:38.113674 10992 layer_factory.cpp:66] Creating layer conv2
I0609 15:11:38.129328 10992 net.cpp:84] Creating Layer conv2
I0609 15:11:38.129328 10992 net.cpp:406] conv2 <- norm1
I0609 15:11:38.129328 10992 net.cpp:380] conv2 -> conv2
I0609 15:11:38.129328 10992 net.cpp:122] Setting up conv2
I0609 15:11:38.129328 10992 net.cpp:129] Top shape: 64 256 2 2 (65536)
I0609 15:11:38.129328 10992 net.cpp:137] Memory required for data: 1687808
I0609 15:11:38.129328 10992 layer_factory.cpp:66] Creating layer relu2
I0609 15:11:38.129328 10992 net.cpp:84] Creating Layer relu2
I0609 15:11:38.129328 10992 net.cpp:406] relu2 <- conv2
I0609 15:11:38.129328 10992 net.cpp:367] relu2 -> conv2 (in-place)
I0609 15:11:38.129328 10992 net.cpp:122] Setting up relu2
I0609 15:11:38.144934 10992 net.cpp:129] Top shape: 64 256 2 2 (65536)
I0609 15:11:38.144934 10992 net.cpp:137] Memory required for data: 1949952
I0609 15:11:38.144934 10992 layer_factory.cpp:66] Creating layer pool2
I0609 15:11:38.144934 10992 net.cpp:84] Creating Layer pool2
I0609 15:11:38.160554 10992 net.cpp:406] pool2 <- conv2
I0609 15:11:38.160554 10992 net.cpp:380] pool2 -> pool2
I0609 15:11:38.160554 10992 net.cpp:122] Setting up pool2
I0609 15:11:38.160554 10992 net.cpp:129] Top shape: 64 256 1 1 (16384)
I0609 15:11:38.160554 10992 net.cpp:137] Memory required for data: 2015488
I0609 15:11:38.160554 10992 layer_factory.cpp:66] Creating layer norm2
I0609 15:11:38.160554 10992 net.cpp:84] Creating Layer norm2
I0609 15:11:38.160554 10992 net.cpp:406] norm2 <- pool2
I0609 15:11:38.160554 10992 net.cpp:380] norm2 -> norm2
I0609 15:11:38.160554 10992 net.cpp:122] Setting up norm2
I0609 15:11:38.160554 10992 net.cpp:129] Top shape: 64 256 1 1 (16384)
I0609 15:11:38.176208 10992 net.cpp:137] Memory required for data: 2081024
I0609 15:11:38.176208 10992 layer_factory.cpp:66] Creating layer conv3
I0609 15:11:38.191799 10992 net.cpp:84] Creating Layer conv3
I0609 15:11:38.191799 10992 net.cpp:406] conv3 <- norm2
I0609 15:11:38.191799 10992 net.cpp:380] conv3 -> conv3
I0609 15:11:38.191799 10992 net.cpp:122] Setting up conv3
I0609 15:11:38.191799 10992 net.cpp:129] Top shape: 64 384 1 1 (24576)
I0609 15:11:38.207413 10992 net.cpp:137] Memory required for data: 2179328
I0609 15:11:38.207413 10992 layer_factory.cpp:66] Creating layer relu3
I0609 15:11:38.207413 10992 net.cpp:84] Creating Layer relu3
I0609 15:11:38.223059 10992 net.cpp:406] relu3 <- conv3
I0609 15:11:38.223059 10992 net.cpp:367] relu3 -> conv3 (in-place)
I0609 15:11:38.223059 10992 net.cpp:122] Setting up relu3
I0609 15:11:38.223059 10992 net.cpp:129] Top shape: 64 384 1 1 (24576)
I0609 15:11:38.223059 10992 net.cpp:137] Memory required for data: 2277632
I0609 15:11:38.223059 10992 layer_factory.cpp:66] Creating layer conv4
I0609 15:11:38.223059 10992 net.cpp:84] Creating Layer conv4
I0609 15:11:38.223059 10992 net.cpp:406] conv4 <- conv3
I0609 15:11:38.223059 10992 net.cpp:380] conv4 -> conv4
I0609 15:11:38.238728 10992 net.cpp:122] Setting up conv4
I0609 15:11:38.238728 10992 net.cpp:129] Top shape: 64 384 1 1 (24576)
I0609 15:11:38.238728 10992 net.cpp:137] Memory required for data: 2375936
I0609 15:11:38.238728 10992 layer_factory.cpp:66] Creating layer relu4
I0609 15:11:38.254323 10992 net.cpp:84] Creating Layer relu4
I0609 15:11:38.254323 10992 net.cpp:406] relu4 <- conv4
I0609 15:11:38.254323 10992 net.cpp:367] relu4 -> conv4 (in-place)
I0609 15:11:38.254323 10992 net.cpp:122] Setting up relu4
I0609 15:11:38.254323 10992 net.cpp:129] Top shape: 64 384 1 1 (24576)
I0609 15:11:38.254323 10992 net.cpp:137] Memory required for data: 2474240
I0609 15:11:38.254323 10992 layer_factory.cpp:66] Creating layer conv5
I0609 15:11:38.254323 10992 net.cpp:84] Creating Layer conv5
I0609 15:11:38.254323 10992 net.cpp:406] conv5 <- conv4
I0609 15:11:38.254323 10992 net.cpp:380] conv5 -> conv5
I0609 15:11:38.269917 10992 net.cpp:122] Setting up conv5
I0609 15:11:38.269917 10992 net.cpp:129] Top shape: 64 256 1 1 (16384)
I0609 15:11:38.269917 10992 net.cpp:137] Memory required for data: 2539776
I0609 15:11:38.269917 10992 layer_factory.cpp:66] Creating layer relu5
I0609 15:11:38.269917 10992 net.cpp:84] Creating Layer relu5
I0609 15:11:38.285559 10992 net.cpp:406] relu5 <- conv5
I0609 15:11:38.285559 10992 net.cpp:367] relu5 -> conv5 (in-place)
I0609 15:11:38.285559 10992 net.cpp:122] Setting up relu5
I0609 15:11:38.285559 10992 net.cpp:129] Top shape: 64 256 1 1 (16384)
I0609 15:11:38.285559 10992 net.cpp:137] Memory required for data: 2605312
I0609 15:11:38.285559 10992 layer_factory.cpp:66] Creating layer pool5
I0609 15:11:38.285559 10992 net.cpp:84] Creating Layer pool5
I0609 15:11:38.285559 10992 net.cpp:406] pool5 <- conv5
I0609 15:11:38.285559 10992 net.cpp:380] pool5 -> pool5
I0609 15:11:38.285559 10992 net.cpp:122] Setting up pool5
I0609 15:11:38.285559 10992 net.cpp:129] Top shape: 64 256 0 0 (0)
I0609 15:11:38.285559 10992 net.cpp:137] Memory required for data: 2605312
I0609 15:11:38.285559 10992 layer_factory.cpp:66] Creating layer fc6
I0609 15:11:38.301179 10992 net.cpp:84] Creating Layer fc6
I0609 15:11:38.301179 10992 net.cpp:406] fc6 <- pool5
I0609 15:11:38.301179 10992 net.cpp:380] fc6 -> fc6
F0609 15:11:38.316798 10992 blob.cpp:133] Check failed: data_
*** Check failure stack trace: ***Reply all
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