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please help me solve this problem:
File "main.py", line 460, in
validation_steps=1)
File "/home/omnisky/anaconda3/envs/zhaoyin_env/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 1509, in fit
validation_split=validation_split)
File "/home/omnisky/anaconda3/envs/zhaoyin_env/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 953, in _standardize_user_data
K.get_session().run(x.initializer)
File "/home/omnisky/anaconda3/envs/zhaoyin_env/lib/python3.6/site-packages/tensorflow/python/keras/backend.py", line 461, in get_session
_SESSION = session_module.Session(config=config)
File "/home/omnisky/anaconda3/envs/zhaoyin_env/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1511, in init
super(Session, self).init(target, graph, config=config)
File "/home/omnisky/anaconda3/envs/zhaoyin_env/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 634, in init
self._session = tf_session.TF_NewSessionRef(self._graph._c_graph, opts)
tensorflow.python.framework.errors_impl.InternalError: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version
The text was updated successfully, but these errors were encountered:
From the last line, I can see the issue is with cuda version which as can be seen is old version .. make sure you have compatible cuda for your tensor , you may refer to authors setting
I saw this :-
Test Environment:
Ubuntu 18.04
Python 3.6.6
TensorFlow 1.11
Keras 2.1.6-tf
CUDA 9.0
cudnn 7.3.1
NVIDIA GTX 1080Ti
From the last line, I can see the issue is with cuda version which as can be seen is old version .. make sure you have compatible cuda for your tensor , you may refer to authors setting
I saw this :-
Test Environment:
Ubuntu 18.04
Python 3.6.6
TensorFlow 1.11
Keras 2.1.6-tf
CUDA 9.0
cudnn 7.3.1
NVIDIA GTX 1080Ti
please help me solve this problem:
File "main.py", line 460, in
validation_steps=1)
File "/home/omnisky/anaconda3/envs/zhaoyin_env/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 1509, in fit
validation_split=validation_split)
File "/home/omnisky/anaconda3/envs/zhaoyin_env/lib/python3.6/site-packages/tensorflow/python/keras/engine/training.py", line 953, in _standardize_user_data
K.get_session().run(x.initializer)
File "/home/omnisky/anaconda3/envs/zhaoyin_env/lib/python3.6/site-packages/tensorflow/python/keras/backend.py", line 461, in get_session
_SESSION = session_module.Session(config=config)
File "/home/omnisky/anaconda3/envs/zhaoyin_env/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1511, in init
super(Session, self).init(target, graph, config=config)
File "/home/omnisky/anaconda3/envs/zhaoyin_env/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 634, in init
self._session = tf_session.TF_NewSessionRef(self._graph._c_graph, opts)
tensorflow.python.framework.errors_impl.InternalError: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version
The text was updated successfully, but these errors were encountered: