Tensorflow Failed to create Session
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I installed tensorflow-gpu on my laptop but when I try to create a new session I get this error:
`> import tensorflow as tf
hello = tf.constant('hi,tensorflow')
sess = tf.Session()
2018-11-22 01:32:54.083160: I C:UsersUserSourceRepostensorflowtensorflowcorecommon_runtimegpugpu_device.cc:1105] Found device 0 with properties:
name: GeForce MX150 major: 6 minor: 1 memoryClockRate(GHz): 1.5315
pciBusID: 0000:01:00.0
totalMemory: 4.00GiB freeMemory: 3.32GiB
2018-11-22 01:32:54.090965: I C:UsersUserSourceRepostensorflowtensorflowcorecommon_runtimegpugpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce MX150, pci bus id: 0000:01:00.0, compute capability: 6.1)
2018-11-22 01:32:54.101480: E C:UsersUserSourceRepostensorflowtensorflowcorecommon_runtimedirect_session.cc:168] Internal: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version
Traceback (most recent call last):
File "", line 1, in
File "C:UsersMHDAnaconda3envstf_15libsite-packagestensorflowpythonclientsession.py", line 1509, in init
super(Session, self).init(target, graph, config=config)
File "C:UsersMHDAnaconda3envstf_15libsite-packagestensorflowpythonclientsession.py", line 628, in init
self._session = tf_session.TF_NewDeprecatedSession(opts, status)
File "C:UsersMHDAnaconda3envstf_15libsite-packagestensorflowpythonframeworkerrors_impl.py", line 473, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InternalError: Failed to create session.`
- tensorflow-gpu 1.5.0
- CUDA Toolkit 9.1
- cudNN 7.0.5
- python 3.6.7
- GPU Nvidia Geforce MX150 (4 GB)
- GPU driver version 391.25
- operating sys. windows 10 pro
NOTE: I installed tensorflow-gpu 1.12 (the latest version) but it didn't work out for me
python tensorflow
edited Nov 24 at 13:28
talonmies
59k17128195
asked Nov 22 at 0:01
Mhd Dabbas
11
add a comment |
up vote
-2
down vote
favorite
I installed tensorflow-gpu on my laptop but when I try to create a new session I get this error:
`> import tensorflow as tf
hello = tf.constant('hi,tensorflow')
sess = tf.Session()
2018-11-22 01:32:54.083160: I C:UsersUserSourceRepostensorflowtensorflowcorecommon_runtimegpugpu_device.cc:1105] Found device 0 with properties:
name: GeForce MX150 major: 6 minor: 1 memoryClockRate(GHz): 1.5315
pciBusID: 0000:01:00.0
totalMemory: 4.00GiB freeMemory: 3.32GiB
2018-11-22 01:32:54.090965: I C:UsersUserSourceRepostensorflowtensorflowcorecommon_runtimegpugpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce MX150, pci bus id: 0000:01:00.0, compute capability: 6.1)
2018-11-22 01:32:54.101480: E C:UsersUserSourceRepostensorflowtensorflowcorecommon_runtimedirect_session.cc:168] Internal: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version
Traceback (most recent call last):
File "", line 1, in
File "C:UsersMHDAnaconda3envstf_15libsite-packagestensorflowpythonclientsession.py", line 1509, in init
super(Session, self).init(target, graph, config=config)
File "C:UsersMHDAnaconda3envstf_15libsite-packagestensorflowpythonclientsession.py", line 628, in init
self._session = tf_session.TF_NewDeprecatedSession(opts, status)
File "C:UsersMHDAnaconda3envstf_15libsite-packagestensorflowpythonframeworkerrors_impl.py", line 473, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InternalError: Failed to create session.`
- tensorflow-gpu 1.5.0
- CUDA Toolkit 9.1
- cudNN 7.0.5
- python 3.6.7
- GPU Nvidia Geforce MX150 (4 GB)
- GPU driver version 391.25
- operating sys. windows 10 pro
NOTE: I installed tensorflow-gpu 1.12 (the latest version) but it didn't work out for me
python tensorflow
edited Nov 24 at 13:28
talonmies
59k17128195
asked Nov 22 at 0:01
Mhd Dabbas
11
Don't post code or output as images, post them es text within your question. And then read everything here: docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
– talonmies
Nov 22 at 0:22
Says it all in the screenshot you posted,cuda driver version is insufficient for cuda runtime version. See this.
– lieblos
Nov 22 at 0:30
the problem has solved by updating the driver and restarting the computer :)
– Mhd Dabbas
Nov 22 at 5:33
add a comment |
up vote
-2
down vote
favorite
up vote
-2
down vote
favorite
I installed tensorflow-gpu on my laptop but when I try to create a new session I get this error:
`> import tensorflow as tf
hello = tf.constant('hi,tensorflow')
sess = tf.Session()
2018-11-22 01:32:54.083160: I C:UsersUserSourceRepostensorflowtensorflowcorecommon_runtimegpugpu_device.cc:1105] Found device 0 with properties:
name: GeForce MX150 major: 6 minor: 1 memoryClockRate(GHz): 1.5315
pciBusID: 0000:01:00.0
totalMemory: 4.00GiB freeMemory: 3.32GiB
2018-11-22 01:32:54.090965: I C:UsersUserSourceRepostensorflowtensorflowcorecommon_runtimegpugpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce MX150, pci bus id: 0000:01:00.0, compute capability: 6.1)
2018-11-22 01:32:54.101480: E C:UsersUserSourceRepostensorflowtensorflowcorecommon_runtimedirect_session.cc:168] Internal: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version
Traceback (most recent call last):
File "", line 1, in
File "C:UsersMHDAnaconda3envstf_15libsite-packagestensorflowpythonclientsession.py", line 1509, in init
super(Session, self).init(target, graph, config=config)
File "C:UsersMHDAnaconda3envstf_15libsite-packagestensorflowpythonclientsession.py", line 628, in init
self._session = tf_session.TF_NewDeprecatedSession(opts, status)
File "C:UsersMHDAnaconda3envstf_15libsite-packagestensorflowpythonframeworkerrors_impl.py", line 473, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InternalError: Failed to create session.`
- tensorflow-gpu 1.5.0
- CUDA Toolkit 9.1
- cudNN 7.0.5
- python 3.6.7
- GPU Nvidia Geforce MX150 (4 GB)
- GPU driver version 391.25
- operating sys. windows 10 pro
NOTE: I installed tensorflow-gpu 1.12 (the latest version) but it didn't work out for me
python tensorflow
edited Nov 24 at 13:28
talonmies
59k17128195
asked Nov 22 at 0:01
Mhd Dabbas
11
I installed tensorflow-gpu on my laptop but when I try to create a new session I get this error:
`> import tensorflow as tf
hello = tf.constant('hi,tensorflow')
sess = tf.Session()
2018-11-22 01:32:54.083160: I C:UsersUserSourceRepostensorflowtensorflowcorecommon_runtimegpugpu_device.cc:1105] Found device 0 with properties:
name: GeForce MX150 major: 6 minor: 1 memoryClockRate(GHz): 1.5315
pciBusID: 0000:01:00.0
totalMemory: 4.00GiB freeMemory: 3.32GiB
2018-11-22 01:32:54.090965: I C:UsersUserSourceRepostensorflowtensorflowcorecommon_runtimegpugpu_device.cc:1195] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce MX150, pci bus id: 0000:01:00.0, compute capability: 6.1)
2018-11-22 01:32:54.101480: E C:UsersUserSourceRepostensorflowtensorflowcorecommon_runtimedirect_session.cc:168] Internal: cudaGetDevice() failed. Status: CUDA driver version is insufficient for CUDA runtime version
Traceback (most recent call last):
File "", line 1, in
File "C:UsersMHDAnaconda3envstf_15libsite-packagestensorflowpythonclientsession.py", line 1509, in init
super(Session, self).init(target, graph, config=config)
File "C:UsersMHDAnaconda3envstf_15libsite-packagestensorflowpythonclientsession.py", line 628, in init
self._session = tf_session.TF_NewDeprecatedSession(opts, status)
File "C:UsersMHDAnaconda3envstf_15libsite-packagestensorflowpythonframeworkerrors_impl.py", line 473, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InternalError: Failed to create session.`
- tensorflow-gpu 1.5.0
- CUDA Toolkit 9.1
- cudNN 7.0.5
- python 3.6.7
- GPU Nvidia Geforce MX150 (4 GB)
- GPU driver version 391.25
- operating sys. windows 10 pro
NOTE: I installed tensorflow-gpu 1.12 (the latest version) but it didn't work out for me
python tensorflow
python tensorflow
edited Nov 24 at 13:28
talonmies
59k17128195
asked Nov 22 at 0:01
Mhd Dabbas
11
edited Nov 24 at 13:28
talonmies
59k17128195
asked Nov 22 at 0:01
Mhd Dabbas
11
edited Nov 24 at 13:28
talonmies
59k17128195
edited Nov 24 at 13:28
talonmies
59k17128195
edited Nov 24 at 13:28
talonmies
59k17128195
59k17128195
asked Nov 22 at 0:01
Mhd Dabbas
11
asked Nov 22 at 0:01
Mhd Dabbas
11
asked Nov 22 at 0:01
Mhd Dabbas
11
11
Don't post code or output as images, post them es text within your question. And then read everything here: docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
– talonmies
Nov 22 at 0:22
Says it all in the screenshot you posted,cuda driver version is insufficient for cuda runtime version. See this.
– lieblos
Nov 22 at 0:30
the problem has solved by updating the driver and restarting the computer :)
– Mhd Dabbas
Nov 22 at 5:33
add a comment |
Don't post code or output as images, post them es text within your question. And then read everything here: docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
– talonmies
Nov 22 at 0:22
Says it all in the screenshot you posted,cuda driver version is insufficient for cuda runtime version. See this.
– lieblos
Nov 22 at 0:30
the problem has solved by updating the driver and restarting the computer :)
– Mhd Dabbas
Nov 22 at 5:33
Don't post code or output as images, post them es text within your question. And then read everything here: docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
– talonmies
Nov 22 at 0:22
Don't post code or output as images, post them es text within your question. And then read everything here: docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
– talonmies
Nov 22 at 0:22
Says it all in the screenshot you posted,
cuda driver version is insufficient for cuda runtime version. See this.– lieblos
Nov 22 at 0:30
Says it all in the screenshot you posted,
cuda driver version is insufficient for cuda runtime version. See this.– lieblos
Nov 22 at 0:30
the problem has solved by updating the driver and restarting the computer :)
– Mhd Dabbas
Nov 22 at 5:33
the problem has solved by updating the driver and restarting the computer :)
– Mhd Dabbas
Nov 22 at 5:33
add a comment |
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Don't post code or output as images, post them es text within your question. And then read everything here: docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html
– talonmies
Nov 22 at 0:22
Says it all in the screenshot you posted,
cuda driver version is insufficient for cuda runtime version. See this.– lieblos
Nov 22 at 0:30
the problem has solved by updating the driver and restarting the computer :)
– Mhd Dabbas
Nov 22 at 5:33