plemeri / randwire_tensorflow Goto Github PK

> python train.py --class_num 10 --image_shape 32 32 3 --stages 4 --channel_count 78 --graph_model er --graph_param 32 0.2 --dropout_rate 0.2 --learning_rate 0.1 --momentum 0.9 --weight_decay 0.0001 --train_set_size 50000 --val_set_size 10000 --batch_size 100 --epochs 100 --checkpoint_dir ./checkpoint --checkpoint_name randwire_cifar10 --train_record_dir ./dataset/cifar10/train.tfrecord --val_record_dir ./dataset/cifar10/test.tfrecord

(venv) RandWire_tensorflow(master)> pip list
Package               Version  
--------------------- ---------
absl-py               0.7.1    
apparmor              2.13.1   
asn1crypto            0.24.0   
astor                 0.7.1    
Brlapi                0.6.7    
certifi               2018.1.18
chardet               3.0.4    
cryptography          2.3      
cupshelpers           1.0      
cycler                0.10.0   
decorator             4.4.0    
Django                2.2.1    
gast                  0.2.2    
glinux-homedir-helper 1        
glinux-rebootd        0.1      
goobuntu-config-tools 0.1      
gpg                   1.12.0   
grpcio                1.20.1   
h5py                  2.9.0    
idna                  2.6      
image                 1.5.27   
IPy                   0.83     
Keras-Applications    1.0.7    
Keras-Preprocessing   1.0.9    
keyring               10.6.0   
keyrings.alt          3.0      
kiwisolver            1.1.0    
LibAppArmor           2.13.1   
louis                 3.7.0    
Markdown              3.1      
matplotlib            3.0.3    
meld                  3.18.0   
mock                  3.0.3    
monotonic             1.0      
networkx              2.3      
numpy                 1.16.3   
obno                  39       
onboard               1.4.1    
Pillow                6.0.0    
pip                   19.1     
protobuf              3.7.1    
psutil                5.4.2    
pycairo               1.16.2   
pycrypto              2.6.1    
pycups                1.9.73   
pycurl                7.43.0.2 
pygobject             3.26.1   
pyinotify             0.9.6    
pyOpenSSL             17.5.0   
pyparsing             2.4.0    
pysmbc                1.0.15.6 
python-apt            1.8.3    
python-dateutil       2.8.0    
python-debian         0.1.32   
python-xapp           1.0.0    
python-xlib           0.20     
pytz                  2019.1   
pyxattr               0.6.0    
pyxdg                 0.25     
PyYAML                5.1      
requests              2.20.0   
scour                 0.36     
SecretStorage         2.3.1    
setproctitle          1.1.10   
setuptools            41.0.1   
six                   1.12.0   
sqlparse              0.3.0    
tensorboard           1.13.1   
tensorflow            1.13.1   
tensorflow-estimator  1.13.0   
termcolor             1.1.0    
ufw                   0.35     
urllib3               1.24     
virtualenv            16.5.0   
Werkzeug              0.15.2   
wheel                 0.33.1   
youtube-dl            2018.4.25

> python train.py --class_num 10 --image_shape 32 32 3 --stages 4 --channel_count 78 --graph_model ws --graph_param 32 4 0.75 --dropout_rate 0.2 --learning_rate 0.1 --momentum 0.9 --weight_decay 0.0001 --train_set_size 50000 --val_set_size 10000 --batch_size 100 --epochs 100 --checkpoint_dir ./checkpoint --checkpoint_name randwire_cifar10 --train_record_dir ./dataset/cifar10/train.tfrecord --val_record_dir ./dataset/cifar10/test.tfrecord
+++++++++++++++++++++++++++++++++++++++++++++++++
[Input Arguments]
class_num -> 10
image_shape -> [32, 32, 3]
stages -> 4
channel_count -> 78
graph_model -> ws
graph_param -> [32.0, 4.0, 0.75]
dropout_rate -> 0.2
learning_rate -> 0.1
momentum -> 0.9
weight_decay -> 0.0001
train_set_size -> 50000
val_set_size -> 10000
batch_size -> 100
epochs -> 100
checkpoint_dir -> ./checkpoint
checkpoint_name -> randwire_cifar10
train_record_dir -> ./dataset/cifar10/train.tfrecord
val_record_dir -> ./dataset/cifar10/test.tfrecord
+++++++++++++++++++++++++++++++++++++++++++++++++
WARNING:tensorflow:From /usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
WARNING:tensorflow:From /usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/network/RandWire.py:120: separable_conv2d (from tensorflow.python.layers.convolutional) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.separable_conv2d instead.
WARNING:tensorflow:From /usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/network/RandWire.py:121: batch_normalization (from tensorflow.python.layers.normalization) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.batch_normalization instead.
WARNING:tensorflow:From /usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/network/RandWire.py:13: dropout (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.dropout instead.
WARNING:tensorflow:From /usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/tensorflow/python/keras/layers/core.py:143: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
Traceback (most recent call last):
  File "train.py", line 170, in <module>
    main(args)
  File "train.py", line 57, in main
    args.graph_model, args.graph_param, args.checkpoint_dir + '/' + 'graphs', False, training)
  File "/usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/network/RandWire.py", line 126, in my_small_regime
    graph_data = gg.graph_generator(graph_model, graph_param, graph_file_path, 'conv' + str(stage) + '_' + graph_model)
  File "/usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/utils/graph_generator.py", line 8, in graph_generator
    graph = nx.random_graphs.connected_watts_strogatz_graph(*graph_param)
  File "</usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/decorator.py:decorator-gen-548>", line 2, in connected_watts_strogatz_graph
  File "/usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/networkx/utils/decorators.py", line 464, in _random_state
    return func(*new_args, **kwargs)
  File "/usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/networkx/generators/random_graphs.py", line 480, in connected_watts_strogatz_graph
    G = watts_strogatz_graph(n, k, p, seed)
  File "</usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/decorator.py:decorator-gen-546>", line 2, in watts_strogatz_graph
  File "/usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/networkx/utils/decorators.py", line 464, in _random_state
    return func(*new_args, **kwargs)
  File "/usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/networkx/generators/random_graphs.py", line 411, in watts_strogatz_graph
    for j in range(1, k // 2 + 1):
TypeError: 'float' object cannot be interpreted as an integer

> python train.py --class_num 10 --image_shape 32 32 3 --stages 4 --channel_count 78 --graph_model ba --graph_param 32 5 --dropout_rate 0.2 --learning_rate 0.1 --momentum 0.9 --weight_decay 0.0001 --train_set_size 50000 --val_set_size 10000 --batch_size 100 --epochs 100 --checkpoint_dir ./checkpoint --checkpoint_name randwire_cifar10 --train_record_dir ./dataset/cifar10/train.tfrecord --val_record_dir ./dataset/cifar10/test.tfrecord
+++++++++++++++++++++++++++++++++++++++++++++++++
[Input Arguments]
class_num -> 10
image_shape -> [32, 32, 3]
stages -> 4
channel_count -> 78
graph_model -> ba
graph_param -> [32.0, 5.0]
dropout_rate -> 0.2
learning_rate -> 0.1
momentum -> 0.9
weight_decay -> 0.0001
train_set_size -> 50000
val_set_size -> 10000
batch_size -> 100
epochs -> 100
checkpoint_dir -> ./checkpoint
checkpoint_name -> randwire_cifar10
train_record_dir -> ./dataset/cifar10/train.tfrecord
val_record_dir -> ./dataset/cifar10/test.tfrecord
+++++++++++++++++++++++++++++++++++++++++++++++++
WARNING:tensorflow:From /usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
WARNING:tensorflow:From /usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/network/RandWire.py:120: separable_conv2d (from tensorflow.python.layers.convolutional) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.separable_conv2d instead.
WARNING:tensorflow:From /usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/network/RandWire.py:121: batch_normalization (from tensorflow.python.layers.normalization) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.batch_normalization instead.
WARNING:tensorflow:From /usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/network/RandWire.py:13: dropout (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.dropout instead.
WARNING:tensorflow:From /usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/tensorflow/python/keras/layers/core.py:143: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
Traceback (most recent call last):
  File "/usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/networkx/utils/decorators.py", line 295, in _nodes_or_number
    nodes = list(range(n))
TypeError: 'float' object cannot be interpreted as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "train.py", line 170, in <module>
    main(args)
  File "train.py", line 57, in main
    args.graph_model, args.graph_param, args.checkpoint_dir + '/' + 'graphs', False, training)
  File "/usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/network/RandWire.py", line 126, in my_small_regime
    graph_data = gg.graph_generator(graph_model, graph_param, graph_file_path, 'conv' + str(stage) + '_' + graph_model)
  File "/usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/utils/graph_generator.py", line 12, in graph_generator
    graph = nx.random_graphs.barabasi_albert_graph(*graph_param)
  File "</usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/decorator.py:decorator-gen-552>", line 2, in barabasi_albert_graph
  File "/usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/networkx/utils/decorators.py", line 464, in _random_state
    return func(*new_args, **kwargs)
  File "/usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/networkx/generators/random_graphs.py", line 649, in barabasi_albert_graph
    G = empty_graph(m)
  File "</usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/decorator.py:decorator-gen-22>", line 2, in empty_graph
  File "/usr/local/google/home/dongseong/workspaces/RandWire_tensorflow/venv/lib/python3.6/site-packages/networkx/utils/decorators.py", line 297, in _nodes_or_number
    nodes = tuple(n)
TypeError: 'float' object is not iterable