RuntimeError: Attempt to use closed session in tflearn
I want to train my model using tflearn, but I am getting the error above. Here is my training loop: BTW I split my training inputs into separate numpy files
for i in range(EPOCHS):
for file in filess:
file = np.load(file)
x = []
y = []
for a, b in file:
x.append(a)
y.append(b[0])
x = np.array(x).reshape(-1,WIDTH,HEIGHT,1)
for sd in range(len(y)):
idx = genres.index(y[sd])
y[sd] = idx
print(y)
y = np.array(y)
try:
model.load(MODEL_NAME)
except:
print("no model")
model.fit({'input': x}, {'targets': y}, n_epoch=1,
snapshot_step=500, show_metric=True, run_id=MODEL_NAME)
model.save(MODEL_NAME)`
Here is the complete error message:
`Traceback (most recent call last):
File "main.py", line 39, in <module>
model.fit({'input': x}, {'targets': y}, n_epoch=1, snapshot_step=500,
show_metric=True, run_id=MODEL_NAME)
File "D:\Anaconda3\envs\python35\lib\site-packages\tflearn\models\dnn.py",
line 215, in fit
callbacks=callbacks)
File "D:\Anaconda3\envs\python35\lib\site-
packages\tflearn\helpers\trainer.py", line 356, in fit
self.train_ops = original_train_ops
File "D:\Anaconda3\envs\python35\lib\contextlib.py", line 77, in __exit__
self.gen.throw(type, value, traceback)
File "D:\Anaconda3\envs\python35\lib\site-
packages\tensorflow\python\framework\ops.py", line 3625, in get_controller
yield default
File "D:\Anaconda3\envs\python35\lib\site-
packages\tflearn\helpers\trainer.py", line 336, in fit
show_metric)
File "D:\Anaconda3\envs\python35\lib\site-
packages\tflearn\helpers\trainer.py", line 775, in _train
tflearn.is_training(True, session=self.session)
File "D:\Anaconda3\envs\python35\lib\site-packages\tflearn\config.py", line
95, in is_training
tf.get_collection('is_training_ops')[0].eval(session=session)
File "D:\Anaconda3\envs\python35\lib\site-
packages\tensorflow\python\framework\ops.py", line 569, in eval
return _eval_using_default_session(self, feed_dict, self.graph, session)
File "D:\Anaconda3\envs\python35\lib\site-
packages\tensorflow\python\framework\ops.py", line 3741, in
_eval_using_default_session
return session.run(tensors, feed_dict)
File "D:\Anaconda3\envs\python35\lib\site-
packages\tensorflow\python\client\session.py", line 778, in run
run_metadata_ptr)
File "D:\Anaconda3\envs\python35\lib\site-
packages\tensorflow\python\client\session.py", line 914, in _run
raise RuntimeError('Attempted to use a closed Session.')
RuntimeError: Attempted to use a closed Session.`
I really hope that you can help me because I have tried for a while but I have not found any solutions.
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I replaced try/except
withif os.path.exists(...)
But save(MODEL_NAME)
does not create a file with the name MODEL_NAME
and number of the files with the names "MODEL_NAME.meta"
, "MODEL_NAME.index"
, "MODEL_NAME.data-00000-of-00001"
, why if os.path.exists(...)
should check out one of these files.
import os
if os.path.exists(MODEL_NAME + ".meta"):
model.load(MODEL_NAME)
else:
model.fit(...)
model.save(MODEL_NAME)
Created as an answer to the question: Building ai chatbot but getting a trace error
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