Hello, i’m actually trying to use tensorflow gpu for deeplearning, i installed CUDA 9.0 Cudnn 7.0 and tensorflow GPU 1.13.1 . When i try to test if tensorflow GPU is working with sess = tf.Session() i get this error :
Python 3.7.3 (default, Mar 27 2019, 22:11:17)
[GCC 7.3.0] :: Anaconda, Inc. on linux
Type “help”, “copyright”, “credits” or “license” for more information.
import tensorflow as tf
sess = tf.Session()
2019-06-02 00:54:00.446905: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2019-06-02 00:54:00.471579: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2208000000 Hz
2019-06-02 00:54:00.473071: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x55fa1b8c05c0 executing computations on platform Host. Devices:
2019-06-02 00:54:00.473103: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): ,
2019-06-02 00:54:00.595757: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:998] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2019-06-02 00:54:00.596616: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x55fa1b96c050 executing computations on platform CUDA. Devices:
2019-06-02 00:54:00.596643: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): GeForce GTX 1050, Compute Capability 6.1
2019-06-02 00:54:00.596955: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties:
name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493
pciBusID: 0000:01:00.0
totalMemory: 3.94GiB freeMemory: 3.65GiB
2019-06-02 00:54:00.596977: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0
Traceback (most recent call last):
File “”, line 1, in
File “/home/nabo/anaconda3/lib/python3.7/site-packages/tensorflow/python/client/session.py”, line 1551, in init
super(Session, self).init(target, graph, config=config)
File “/home/nabo/anaconda3/lib/python3.7/site-packages/tensorflow/python/client/session.py”, line 676, 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
If somone could help me fix it please,I will be very grateful. thank you