Not Generating Experiment List
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Thilina Madhusanka Perera
Jul 11, 2015, 8:31:51 AM7/11/15
to express...@googlegroups.com
Hi,
Im new to this one and im trying to do the tutorials that are given here,
network training part is going smoothly but in the evaluation it dose not Generating Experiment List as it says in the tutorial.
cant see any error on the GUI. it shows a message that the Experiment List has Generated but it is not in the experiment list on the GUI
this is the terminal output of the Generating Experiment List process
[u'prob']
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 0, u'Creating Experiment with name cifar10--prob', 0]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 0, u'Creating Experiment with name cifar10--prob', 0]
/home/thilina/expresso/net/temp/temp_CIFAR10--TRAINED_train_cif_cifar10--prob_50.sh
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 0, u'Creating Experiment with name cifar10--prob', 0, False]
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False]
^^^^^^^^^^^^^^^^^^^^^
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False] 9
^^^^^^^^^^^^^^^^^^^^^
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617104.52', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617156.93', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 0, u'Creating Experiment with name cifar10--prob', 0, False]
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False]
^^^^^^^^^^^^^^^^^^^^^
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False] 9
^^^^^^^^^^^^^^^^^^^^^
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617104.52', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617156.93', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['/home/thilina/expresso/src/exp/extractFeatures.py', 'cifar10--prob', 'CIFAR10--TRAINED', '50', 'prob', 'train_cif']
START HERE
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0711 17:58:04.999444 2761 net.cpp:42] Initializing net from parameters:
name: "CIFAR10_quick_test"
input: "data"
input_dim: 50
input_dim: 3
input_dim: 32
input_dim: 32
state {
phase: TEST
}
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
param {
lr_mult: 1
}
param {
lr_mult: 2
}
convolution_param {
num_output: 32
pad: 2
kernel_size: 5
stride: 1
}
}
layer {
name: "pool1"
type: "Pooling"
bottom: "conv1"
top: "pool1"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "relu1"
type: "ReLU"
bottom: "pool1"
top: "pool1"
}
layer {
name: "conv2"
type: "Convolution"
bottom: "pool1"
top: "conv2"
param {
lr_mult: 1
}
param {
lr_mult: 2
}
convolution_param {
num_output: 32
pad: 2
kernel_size: 5
stride: 1
}
}
layer {
name: "relu2"
type: "ReLU"
bottom: "conv2"
top: "conv2"
}
layer {
name: "pool2"
type: "Pooling"
bottom: "conv2"
top: "pool2"
pooling_param {
pool: AVE
kernel_size: 3
stride: 2
}
}
layer {
name: "conv3"
type: "Convolution"
bottom: "pool2"
top: "conv3"
param {
lr_mult: 1
}
param {
lr_mult: 2
}
convolution_param {
num_output: 64
pad: 2
kernel_size: 5
stride: 1
}
}
layer {
name: "relu3"
type: "ReLU"
bottom: "conv3"
top: "conv3"
}
layer {
name: "pool3"
type: "Pooling"
bottom: "conv3"
top: "pool3"
pooling_param {
pool: AVE
kernel_size: 3
stride: 2
}
}
layer {
name: "ip1"
type: "InnerProduct"
bottom: "pool3"
top: "ip1"
param {
lr_mult: 1
}
param {
lr_mult: 2
}
inner_product_param {
num_output: 64
}
}
layer {
name: "ip2"
type: "InnerProduct"
bottom: "ip1"
top: "ip2"
param {
lr_mult: 1
}
param {
lr_mult: 2
}
inner_product_param {
num_output: 10
}
}
layer {
name: "prob"
type: "Softmax"
bottom: "ip2"
top: "prob"
}
I0711 17:58:05.000341 2761 net.cpp:370] Input 0 -> data
I0711 17:58:05.000394 2761 layer_factory.hpp:74] Creating layer conv1
I0711 17:58:05.000427 2761 net.cpp:90] Creating Layer conv1
I0711 17:58:05.000447 2761 net.cpp:410] conv1 <- data
I0711 17:58:05.000474 2761 net.cpp:368] conv1 -> conv1
I0711 17:58:05.000504 2761 net.cpp:120] Setting up conv1
I0711 17:58:05.000566 2761 net.cpp:127] Top shape: 50 32 32 32 (1638400)
I0711 17:58:05.000594 2761 layer_factory.hpp:74] Creating layer pool1
I0711 17:58:05.000622 2761 net.cpp:90] Creating Layer pool1
I0711 17:58:05.000643 2761 net.cpp:410] pool1 <- conv1
I0711 17:58:05.000664 2761 net.cpp:368] pool1 -> pool1
I0711 17:58:05.000689 2761 net.cpp:120] Setting up pool1
I0711 17:58:05.000723 2761 net.cpp:127] Top shape: 50 32 16 16 (409600)
I0711 17:58:05.000747 2761 layer_factory.hpp:74] Creating layer relu1
I0711 17:58:05.000771 2761 net.cpp:90] Creating Layer relu1
I0711 17:58:05.000794 2761 net.cpp:410] relu1 <- pool1
I0711 17:58:05.000818 2761 net.cpp:357] relu1 -> pool1 (in-place)
I0711 17:58:05.000839 2761 net.cpp:120] Setting up relu1
I0711 17:58:05.000865 2761 net.cpp:127] Top shape: 50 32 16 16 (409600)
I0711 17:58:05.000885 2761 layer_factory.hpp:74] Creating layer conv2
I0711 17:58:05.000906 2761 net.cpp:90] Creating Layer conv2
I0711 17:58:05.000926 2761 net.cpp:410] conv2 <- pool1
I0711 17:58:05.000949 2761 net.cpp:368] conv2 -> conv2
I0711 17:58:05.000972 2761 net.cpp:120] Setting up conv2
I0711 17:58:05.001060 2761 net.cpp:127] Top shape: 50 32 16 16 (409600)
I0711 17:58:05.001088 2761 layer_factory.hpp:74] Creating layer relu2
I0711 17:58:05.001112 2761 net.cpp:90] Creating Layer relu2
I0711 17:58:05.001132 2761 net.cpp:410] relu2 <- conv2
I0711 17:58:05.001153 2761 net.cpp:357] relu2 -> conv2 (in-place)
I0711 17:58:05.001174 2761 net.cpp:120] Setting up relu2
I0711 17:58:05.001196 2761 net.cpp:127] Top shape: 50 32 16 16 (409600)
I0711 17:58:05.001215 2761 layer_factory.hpp:74] Creating layer pool2
I0711 17:58:05.001233 2761 net.cpp:90] Creating Layer pool2
I0711 17:58:05.001245 2761 net.cpp:410] pool2 <- conv2
I0711 17:58:05.001258 2761 net.cpp:368] pool2 -> pool2
I0711 17:58:05.001272 2761 net.cpp:120] Setting up pool2
I0711 17:58:05.001287 2761 net.cpp:127] Top shape: 50 32 8 8 (102400)
I0711 17:58:05.001299 2761 layer_factory.hpp:74] Creating layer conv3
I0711 17:58:05.001312 2761 net.cpp:90] Creating Layer conv3
I0711 17:58:05.001323 2761 net.cpp:410] conv3 <- pool2
I0711 17:58:05.001335 2761 net.cpp:368] conv3 -> conv3
I0711 17:58:05.001349 2761 net.cpp:120] Setting up conv3
I0711 17:58:05.001473 2761 net.cpp:127] Top shape: 50 64 8 8 (204800)
I0711 17:58:05.001495 2761 layer_factory.hpp:74] Creating layer relu3
I0711 17:58:05.001508 2761 net.cpp:90] Creating Layer relu3
I0711 17:58:05.001520 2761 net.cpp:410] relu3 <- conv3
I0711 17:58:05.001533 2761 net.cpp:357] relu3 -> conv3 (in-place)
I0711 17:58:05.001545 2761 net.cpp:120] Setting up relu3
I0711 17:58:05.001557 2761 net.cpp:127] Top shape: 50 64 8 8 (204800)
I0711 17:58:05.001569 2761 layer_factory.hpp:74] Creating layer pool3
I0711 17:58:05.001582 2761 net.cpp:90] Creating Layer pool3
I0711 17:58:05.001593 2761 net.cpp:410] pool3 <- conv3
I0711 17:58:05.001605 2761 net.cpp:368] pool3 -> pool3
I0711 17:58:05.001618 2761 net.cpp:120] Setting up pool3
I0711 17:58:05.001632 2761 net.cpp:127] Top shape: 50 64 4 4 (51200)
I0711 17:58:05.001643 2761 layer_factory.hpp:74] Creating layer ip1
I0711 17:58:05.001658 2761 net.cpp:90] Creating Layer ip1
I0711 17:58:05.001670 2761 net.cpp:410] ip1 <- pool3
I0711 17:58:05.001682 2761 net.cpp:368] ip1 -> ip1
I0711 17:58:05.001696 2761 net.cpp:120] Setting up ip1
I0711 17:58:05.001830 2761 net.cpp:127] Top shape: 50 64 (3200)
I0711 17:58:05.001847 2761 layer_factory.hpp:74] Creating layer ip2
I0711 17:58:05.001860 2761 net.cpp:90] Creating Layer ip2
I0711 17:58:05.001871 2761 net.cpp:410] ip2 <- ip1
I0711 17:58:05.001884 2761 net.cpp:368] ip2 -> ip2
I0711 17:58:05.001899 2761 net.cpp:120] Setting up ip2
I0711 17:58:05.001917 2761 net.cpp:127] Top shape: 50 10 (500)
I0711 17:58:05.001932 2761 layer_factory.hpp:74] Creating layer prob
I0711 17:58:05.001945 2761 net.cpp:90] Creating Layer prob
I0711 17:58:05.001956 2761 net.cpp:410] prob <- ip2
I0711 17:58:05.001968 2761 net.cpp:368] prob -> prob
I0711 17:58:05.001981 2761 net.cpp:120] Setting up prob
I0711 17:58:05.001999 2761 net.cpp:127] Top shape: 50 10 (500)
I0711 17:58:05.002012 2761 net.cpp:194] prob does not need backward computation.
I0711 17:58:05.002022 2761 net.cpp:194] ip2 does not need backward computation.
I0711 17:58:05.002033 2761 net.cpp:194] ip1 does not need backward computation.
I0711 17:58:05.002043 2761 net.cpp:194] pool3 does not need backward computation.
I0711 17:58:05.002054 2761 net.cpp:194] relu3 does not need backward computation.
I0711 17:58:05.002065 2761 net.cpp:194] conv3 does not need backward computation.
I0711 17:58:05.002076 2761 net.cpp:194] pool2 does not need backward computation.
I0711 17:58:05.002087 2761 net.cpp:194] relu2 does not need backward computation.
I0711 17:58:05.002097 2761 net.cpp:194] conv2 does not need backward computation.
I0711 17:58:05.002109 2761 net.cpp:194] relu1 does not need backward computation.
I0711 17:58:05.002120 2761 net.cpp:194] pool1 does not need backward computation.
I0711 17:58:05.002130 2761 net.cpp:194] conv1 does not need backward computation.
I0711 17:58:05.002140 2761 net.cpp:235] This network produces output prob
I0711 17:58:05.002156 2761 net.cpp:482] Collecting Learning Rate and Weight Decay.
I0711 17:58:05.002171 2761 net.cpp:247] Network initialization done.
I0711 17:58:05.002182 2761 net.cpp:248] Memory required for data: 15376800
F0711 17:58:05.002238 2761 upgrade_proto.cpp:935] Check failed: ReadProtoFromBinaryFile(param_file, param) Failed to parse NetParameter file: /home/thilina/expresso/net/data/cifar10--trained/cifar10--trained_model.caffemodel
*** Check failure stack trace: ***
Aborted (core dumped)
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 2, u'Creating Experiment with name cifar10--prob', 3, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 2, u'Creating Experiment with name cifar10--prob', 3, False]
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False]
^^^^^^^^^^^^^^^^^^^^^
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False] 9
^^^^^^^^^^^^^^^^^^^^^
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617104.52', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617156.93', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
reached here
/home/thilina/expresso/data
train_cif.hdf5
train_cif.hdf5
test_cif.hdf5
test_cif.hdf5
refreshing ExpView
/home/thilina/expresso/net/data/cifar10--trained/cifar10--trained_deploy.prototxt
FIRST
Filling the comboBox for Models
0
0
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False]
^^^^^^^^^^^^^^^^^^^^^
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False] 9
^^^^^^^^^^^^^^^^^^^^^
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617104.52', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617156.93', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False]
^^^^^^^^^^^^^^^^^^^^^
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False] 9
^^^^^^^^^^^^^^^^^^^^^
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617104.52', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617156.93', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
Im new to this one and im trying to do the tutorials that are given here,
network training part is going smoothly but in the evaluation it dose not Generating Experiment List as it says in the tutorial.
cant see any error on the GUI. it shows a message that the Experiment List has Generated but it is not in the experiment list on the GUI
this is the terminal output of the Generating Experiment List process
[u'prob']
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 0, u'Creating Experiment with name cifar10--prob', 0]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 0, u'Creating Experiment with name cifar10--prob', 0]
/home/thilina/expresso/net/temp/temp_CIFAR10--TRAINED_train_cif_cifar10--prob_50.sh
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 0, u'Creating Experiment with name cifar10--prob', 0, False]
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False]
^^^^^^^^^^^^^^^^^^^^^
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False] 9
^^^^^^^^^^^^^^^^^^^^^
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617104.52', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617156.93', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 0, u'Creating Experiment with name cifar10--prob', 0, False]
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False]
^^^^^^^^^^^^^^^^^^^^^
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False] 9
^^^^^^^^^^^^^^^^^^^^^
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617104.52', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617156.93', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['/home/thilina/expresso/src/exp/extractFeatures.py', 'cifar10--prob', 'CIFAR10--TRAINED', '50', 'prob', 'train_cif']
START HERE
WARNING: Logging before InitGoogleLogging() is written to STDERR
I0711 17:58:04.999444 2761 net.cpp:42] Initializing net from parameters:
name: "CIFAR10_quick_test"
input: "data"
input_dim: 50
input_dim: 3
input_dim: 32
input_dim: 32
state {
phase: TEST
}
layer {
name: "conv1"
type: "Convolution"
bottom: "data"
top: "conv1"
param {
lr_mult: 1
}
param {
lr_mult: 2
}
convolution_param {
num_output: 32
pad: 2
kernel_size: 5
stride: 1
}
}
layer {
name: "pool1"
type: "Pooling"
bottom: "conv1"
top: "pool1"
pooling_param {
pool: MAX
kernel_size: 3
stride: 2
}
}
layer {
name: "relu1"
type: "ReLU"
bottom: "pool1"
top: "pool1"
}
layer {
name: "conv2"
type: "Convolution"
bottom: "pool1"
top: "conv2"
param {
lr_mult: 1
}
param {
lr_mult: 2
}
convolution_param {
num_output: 32
pad: 2
kernel_size: 5
stride: 1
}
}
layer {
name: "relu2"
type: "ReLU"
bottom: "conv2"
top: "conv2"
}
layer {
name: "pool2"
type: "Pooling"
bottom: "conv2"
top: "pool2"
pooling_param {
pool: AVE
kernel_size: 3
stride: 2
}
}
layer {
name: "conv3"
type: "Convolution"
bottom: "pool2"
top: "conv3"
param {
lr_mult: 1
}
param {
lr_mult: 2
}
convolution_param {
num_output: 64
pad: 2
kernel_size: 5
stride: 1
}
}
layer {
name: "relu3"
type: "ReLU"
bottom: "conv3"
top: "conv3"
}
layer {
name: "pool3"
type: "Pooling"
bottom: "conv3"
top: "pool3"
pooling_param {
pool: AVE
kernel_size: 3
stride: 2
}
}
layer {
name: "ip1"
type: "InnerProduct"
bottom: "pool3"
top: "ip1"
param {
lr_mult: 1
}
param {
lr_mult: 2
}
inner_product_param {
num_output: 64
}
}
layer {
name: "ip2"
type: "InnerProduct"
bottom: "ip1"
top: "ip2"
param {
lr_mult: 1
}
param {
lr_mult: 2
}
inner_product_param {
num_output: 10
}
}
layer {
name: "prob"
type: "Softmax"
bottom: "ip2"
top: "prob"
}
I0711 17:58:05.000341 2761 net.cpp:370] Input 0 -> data
I0711 17:58:05.000394 2761 layer_factory.hpp:74] Creating layer conv1
I0711 17:58:05.000427 2761 net.cpp:90] Creating Layer conv1
I0711 17:58:05.000447 2761 net.cpp:410] conv1 <- data
I0711 17:58:05.000474 2761 net.cpp:368] conv1 -> conv1
I0711 17:58:05.000504 2761 net.cpp:120] Setting up conv1
I0711 17:58:05.000566 2761 net.cpp:127] Top shape: 50 32 32 32 (1638400)
I0711 17:58:05.000594 2761 layer_factory.hpp:74] Creating layer pool1
I0711 17:58:05.000622 2761 net.cpp:90] Creating Layer pool1
I0711 17:58:05.000643 2761 net.cpp:410] pool1 <- conv1
I0711 17:58:05.000664 2761 net.cpp:368] pool1 -> pool1
I0711 17:58:05.000689 2761 net.cpp:120] Setting up pool1
I0711 17:58:05.000723 2761 net.cpp:127] Top shape: 50 32 16 16 (409600)
I0711 17:58:05.000747 2761 layer_factory.hpp:74] Creating layer relu1
I0711 17:58:05.000771 2761 net.cpp:90] Creating Layer relu1
I0711 17:58:05.000794 2761 net.cpp:410] relu1 <- pool1
I0711 17:58:05.000818 2761 net.cpp:357] relu1 -> pool1 (in-place)
I0711 17:58:05.000839 2761 net.cpp:120] Setting up relu1
I0711 17:58:05.000865 2761 net.cpp:127] Top shape: 50 32 16 16 (409600)
I0711 17:58:05.000885 2761 layer_factory.hpp:74] Creating layer conv2
I0711 17:58:05.000906 2761 net.cpp:90] Creating Layer conv2
I0711 17:58:05.000926 2761 net.cpp:410] conv2 <- pool1
I0711 17:58:05.000949 2761 net.cpp:368] conv2 -> conv2
I0711 17:58:05.000972 2761 net.cpp:120] Setting up conv2
I0711 17:58:05.001060 2761 net.cpp:127] Top shape: 50 32 16 16 (409600)
I0711 17:58:05.001088 2761 layer_factory.hpp:74] Creating layer relu2
I0711 17:58:05.001112 2761 net.cpp:90] Creating Layer relu2
I0711 17:58:05.001132 2761 net.cpp:410] relu2 <- conv2
I0711 17:58:05.001153 2761 net.cpp:357] relu2 -> conv2 (in-place)
I0711 17:58:05.001174 2761 net.cpp:120] Setting up relu2
I0711 17:58:05.001196 2761 net.cpp:127] Top shape: 50 32 16 16 (409600)
I0711 17:58:05.001215 2761 layer_factory.hpp:74] Creating layer pool2
I0711 17:58:05.001233 2761 net.cpp:90] Creating Layer pool2
I0711 17:58:05.001245 2761 net.cpp:410] pool2 <- conv2
I0711 17:58:05.001258 2761 net.cpp:368] pool2 -> pool2
I0711 17:58:05.001272 2761 net.cpp:120] Setting up pool2
I0711 17:58:05.001287 2761 net.cpp:127] Top shape: 50 32 8 8 (102400)
I0711 17:58:05.001299 2761 layer_factory.hpp:74] Creating layer conv3
I0711 17:58:05.001312 2761 net.cpp:90] Creating Layer conv3
I0711 17:58:05.001323 2761 net.cpp:410] conv3 <- pool2
I0711 17:58:05.001335 2761 net.cpp:368] conv3 -> conv3
I0711 17:58:05.001349 2761 net.cpp:120] Setting up conv3
I0711 17:58:05.001473 2761 net.cpp:127] Top shape: 50 64 8 8 (204800)
I0711 17:58:05.001495 2761 layer_factory.hpp:74] Creating layer relu3
I0711 17:58:05.001508 2761 net.cpp:90] Creating Layer relu3
I0711 17:58:05.001520 2761 net.cpp:410] relu3 <- conv3
I0711 17:58:05.001533 2761 net.cpp:357] relu3 -> conv3 (in-place)
I0711 17:58:05.001545 2761 net.cpp:120] Setting up relu3
I0711 17:58:05.001557 2761 net.cpp:127] Top shape: 50 64 8 8 (204800)
I0711 17:58:05.001569 2761 layer_factory.hpp:74] Creating layer pool3
I0711 17:58:05.001582 2761 net.cpp:90] Creating Layer pool3
I0711 17:58:05.001593 2761 net.cpp:410] pool3 <- conv3
I0711 17:58:05.001605 2761 net.cpp:368] pool3 -> pool3
I0711 17:58:05.001618 2761 net.cpp:120] Setting up pool3
I0711 17:58:05.001632 2761 net.cpp:127] Top shape: 50 64 4 4 (51200)
I0711 17:58:05.001643 2761 layer_factory.hpp:74] Creating layer ip1
I0711 17:58:05.001658 2761 net.cpp:90] Creating Layer ip1
I0711 17:58:05.001670 2761 net.cpp:410] ip1 <- pool3
I0711 17:58:05.001682 2761 net.cpp:368] ip1 -> ip1
I0711 17:58:05.001696 2761 net.cpp:120] Setting up ip1
I0711 17:58:05.001830 2761 net.cpp:127] Top shape: 50 64 (3200)
I0711 17:58:05.001847 2761 layer_factory.hpp:74] Creating layer ip2
I0711 17:58:05.001860 2761 net.cpp:90] Creating Layer ip2
I0711 17:58:05.001871 2761 net.cpp:410] ip2 <- ip1
I0711 17:58:05.001884 2761 net.cpp:368] ip2 -> ip2
I0711 17:58:05.001899 2761 net.cpp:120] Setting up ip2
I0711 17:58:05.001917 2761 net.cpp:127] Top shape: 50 10 (500)
I0711 17:58:05.001932 2761 layer_factory.hpp:74] Creating layer prob
I0711 17:58:05.001945 2761 net.cpp:90] Creating Layer prob
I0711 17:58:05.001956 2761 net.cpp:410] prob <- ip2
I0711 17:58:05.001968 2761 net.cpp:368] prob -> prob
I0711 17:58:05.001981 2761 net.cpp:120] Setting up prob
I0711 17:58:05.001999 2761 net.cpp:127] Top shape: 50 10 (500)
I0711 17:58:05.002012 2761 net.cpp:194] prob does not need backward computation.
I0711 17:58:05.002022 2761 net.cpp:194] ip2 does not need backward computation.
I0711 17:58:05.002033 2761 net.cpp:194] ip1 does not need backward computation.
I0711 17:58:05.002043 2761 net.cpp:194] pool3 does not need backward computation.
I0711 17:58:05.002054 2761 net.cpp:194] relu3 does not need backward computation.
I0711 17:58:05.002065 2761 net.cpp:194] conv3 does not need backward computation.
I0711 17:58:05.002076 2761 net.cpp:194] pool2 does not need backward computation.
I0711 17:58:05.002087 2761 net.cpp:194] relu2 does not need backward computation.
I0711 17:58:05.002097 2761 net.cpp:194] conv2 does not need backward computation.
I0711 17:58:05.002109 2761 net.cpp:194] relu1 does not need backward computation.
I0711 17:58:05.002120 2761 net.cpp:194] pool1 does not need backward computation.
I0711 17:58:05.002130 2761 net.cpp:194] conv1 does not need backward computation.
I0711 17:58:05.002140 2761 net.cpp:235] This network produces output prob
I0711 17:58:05.002156 2761 net.cpp:482] Collecting Learning Rate and Weight Decay.
I0711 17:58:05.002171 2761 net.cpp:247] Network initialization done.
I0711 17:58:05.002182 2761 net.cpp:248] Memory required for data: 15376800
F0711 17:58:05.002238 2761 upgrade_proto.cpp:935] Check failed: ReadProtoFromBinaryFile(param_file, param) Failed to parse NetParameter file: /home/thilina/expresso/net/data/cifar10--trained/cifar10--trained_model.caffemodel
*** Check failure stack trace: ***
Aborted (core dumped)
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 2, u'Creating Experiment with name cifar10--prob', 3, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 2, u'Creating Experiment with name cifar10--prob', 3, False]
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False]
^^^^^^^^^^^^^^^^^^^^^
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False] 9
^^^^^^^^^^^^^^^^^^^^^
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617104.52', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617156.93', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
reached here
/home/thilina/expresso/data
train_cif.hdf5
train_cif.hdf5
test_cif.hdf5
test_cif.hdf5
refreshing ExpView
/home/thilina/expresso/net/data/cifar10--trained/cifar10--trained_deploy.prototxt
FIRST
Filling the comboBox for Models
0
0
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False]
^^^^^^^^^^^^^^^^^^^^^
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False] 9
^^^^^^^^^^^^^^^^^^^^^
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617104.52', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617156.93', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False]
^^^^^^^^^^^^^^^^^^^^^
['Train View', 'Training Data', u'cifar10--trained_1436616855.05', 1, u'Training of Data has started with name cifar10--trained', 100, None, False, False] 9
^^^^^^^^^^^^^^^^^^^^^
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617104.52', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617156.93', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
['Exp View', 'Creating Experiment', u'cifar10--prob_1436617683.95', 1, u'Creating Experiment with name cifar10--prob', 100, False, False]
Jaley Dholakiya
Jul 12, 2015, 1:33:02 AM7/12/15
to express...@googlegroups.com
This is temporary Fix, for problem might have come because of variety of reasons . ..
got to location $EXPRESSO_ROOT/src/net/train/cifar10--trained/
externally upload the model in net and save it again as separate net. . . this might help
Павел Буров
Sep 2, 2015, 3:12:41 PM9/2/15
to expresso-users
Hi, i'm facing the same problem. except message in main window says that creating experiment in progres, but nothing happened actually (0%). Didn't get workaround posted here. Location $EXPRESSO_ROOT/src/net/ don't have folder /train. What do you mean "externally upload the model in net and save it again as separate net"?
Sorry, if my questions is silly, but i'm stuck at tutorial 3 step 17
Message has been deleted
Jaley Dholakiya
Sep 8, 2015, 9:29:36 AM9/8/15
to expresso-users
It means create a new net configuration, and load the model from location $EXPRESSO_ROOT/src/net/train/[YourNetName]/. I will look into it further
jkthi...@gmail.com
Oct 15, 2015, 10:13:22 AM10/15/15
to expresso-users
I have exactly the same situation. No folder 'train'- ubuntu 14.04
Jaley Dholakiya
Oct 15, 2015, 11:04:18 AM10/15/15
to expresso-users
I will fix this bug soon , you can temporarily follow previous instructions for running . . . it is preemption issue, related to spawning multiple processes.
homer
Nov 10, 2015, 8:21:17 AM11/10/15
to expresso-users
Hi!
I am not able to follow your instructions, sorry for that.
What I did is:
mkdir src/net/train/cifar10
cp tutorials/tutorial_3/* src/net/train/cifar10
In the "Net View":
Create new net,
Load existing net configuration -> src/net/train/cifar10/cifar10_quick_train_test.prototxt
train view -> train model
net view -> loading src/net/train/cifar10/cifar10_quick.prototxt
exp view -> generate
experiment list is empty
It should be easy but honestly I do not understand the bug. What am I doing wrong? Someone was able to reproduce the workaround?
Any help will be appreciated.
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