MemoryError
ERROR:tensorflow:==================================
Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>):
<tf.Tensor 'report_uninitialized_variables/boolean_mask/GatherV2:0' shape=(?,) dtype=string>
If you want to mark it as used call its "mark_used()" method.
It was originally created here:
File "main.py", line 338, in
tf.app.run() File "/home/zjw/anaconda3/envs/tf113/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv)) File "main.py", line 334, in main
train() File "main.py", line 311, in train
break File "main.py", line 199, in get_ops
return ops File "/home/zjw/code/research/enas/enascifar/general_controller.py", line 277, in build_trainer
num_replicas=self.num_replicas) File "/home/zjw/code/research/enas/utils.py", line 224, in get_train_ops
return train_op, learning_rate, grad_norm, opt File "/home/zjw/anaconda3/envs/tf113/lib/python3.6/site-packages/tensorflow/python/training/sync_replicas_optimizer.py", line 360, in apply_gradients
return train_op File "/home/zjw/anaconda3/envs/tf113/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
MemoryError ERROR:tensorflow:================================== Object was never used (type <class 'tensorflow.python.framework.ops.Tensor'>): <tf.Tensor 'report_uninitialized_variables/boolean_mask/GatherV2:0' shape=(?,) dtype=string> If you want to mark it as used call its "mark_used()" method. It was originally created here: File "main.py", line 338, in
tf.app.run() File "/home/zjw/anaconda3/envs/tf113/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv)) File "main.py", line 334, in main
train() File "main.py", line 311, in train
break File "main.py", line 199, in get_ops
return ops File "/home/zjw/code/research/enas/enascifar/general_controller.py", line 277, in build_trainer
num_replicas=self.num_replicas) File "/home/zjw/code/research/enas/utils.py", line 224, in get_train_ops
return train_op, learning_rate, grad_norm, opt File "/home/zjw/anaconda3/envs/tf113/lib/python3.6/site-packages/tensorflow/python/training/sync_replicas_optimizer.py", line 360, in apply_gradients
return train_op File "/home/zjw/anaconda3/envs/tf113/lib/python3.6/site-packages/tensorflow/python/util/tf_should_use.py", line 193, in wrapped
return _add_should_use_warning(fn(*args, **kwargs))
Did somebody solve this problem>