You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
python run_dense_net_3d.py --train -ds /home/user/jiangsudaxuematch/daima/UCF101
when I run this instruction , wrongs occur . wrong list in log.txt
Params:
weight_decay: 0.0001
bc_mode: False
should_save_logs: True
keep_prob: 1.0
gpu_id: 0
reduction: 1.0
dataset: /home/user/jiangsudaxuematch/daima/UCF101
model_type: DenseNet3D
depth: 20
train: True
should_save_model: True
test: False
renew_logs: False
total_blocks: 3
nesterov_momentum: 0.9
growth_rate: 12
Train params:
batch_size: 10
n_epochs: 70
queue_size: 300
reduce_lr_epoch_2: 55
sequence_length: 16
validation_set: True
num_classes: 5
crop_size: (150, 100)
reduce_lr_epoch_1: 30
initial_learning_rate: 0.1
validation_split: None
normalization: std
Start thread: train data preparation ...
Start thread: validation data preparation ...
Initialize the model..
Build DenseNet3D model with 3 blocks, 5 composite layers each.
Reduction at transition layers: 1.0
Traceback (most recent call last):
File "run_dense_net_3d.py", line 157, in
model = DenseNet3D(data_provider=data_provider, **model_params)
File "/home/user/jiangsudaxuematch/daima/models/dense_net_3d.py", line 88, in init
self._initialize_session()
File "/home/user/jiangsudaxuematch/daima/models/dense_net_3d.py", line 107, in _initialize_session
self.saver = tf.train.Saver(tf.global_variables(), max_to_keep=0)
File "/home/user/.local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1051, in init
self.build()
File "/home/user/.local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1072, in build
raise ValueError("No variables to save")
ValueError: No variables to save.
How can I solve this problem?
The text was updated successfully, but these errors were encountered:
python run_dense_net_3d.py --train -ds /home/user/jiangsudaxuematch/daima/UCF101
when I run this instruction , wrongs occur . wrong list in log.txt
Params:
weight_decay: 0.0001
bc_mode: False
should_save_logs: True
keep_prob: 1.0
gpu_id: 0
reduction: 1.0
dataset: /home/user/jiangsudaxuematch/daima/UCF101
model_type: DenseNet3D
depth: 20
train: True
should_save_model: True
test: False
renew_logs: False
total_blocks: 3
nesterov_momentum: 0.9
growth_rate: 12
Train params:
batch_size: 10
n_epochs: 70
queue_size: 300
reduce_lr_epoch_2: 55
sequence_length: 16
validation_set: True
num_classes: 5
crop_size: (150, 100)
reduce_lr_epoch_1: 30
initial_learning_rate: 0.1
validation_split: None
normalization: std
Start thread: train data preparation ...
Start thread: validation data preparation ...
Initialize the model..
Build DenseNet3D model with 3 blocks, 5 composite layers each.
Reduction at transition layers: 1.0
Traceback (most recent call last):
File "run_dense_net_3d.py", line 157, in
model = DenseNet3D(data_provider=data_provider, **model_params)
File "/home/user/jiangsudaxuematch/daima/models/dense_net_3d.py", line 88, in init
self._initialize_session()
File "/home/user/jiangsudaxuematch/daima/models/dense_net_3d.py", line 107, in _initialize_session
self.saver = tf.train.Saver(tf.global_variables(), max_to_keep=0)
File "/home/user/.local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1051, in init
self.build()
File "/home/user/.local/lib/python2.7/site-packages/tensorflow/python/training/saver.py", line 1072, in build
raise ValueError("No variables to save")
ValueError: No variables to save.
How can I solve this problem?
The text was updated successfully, but these errors were encountered: