#UBUNTU 18.04 CUDA 10.0 TENSORFLOW HOW TO#
#UBUNTU 18.04 CUDA 10.0 TENSORFLOW INSTALL#
#UBUNTU 18.04 CUDA 10.0 TENSORFLOW CODE#

Inside this tutorial you will learn how to configure your Ubuntu 18.04 machine for deep learning with TensorFlow and Keras.Д¬onfiguring a deep learning rig is half the battle when getting started with computer vision and deep learning.

#UBUNTU 18.04 CUDA 10.0 TENSORFLOW CODE#

Ii libcudnn8-dev 8.2.2.26-1+cuda10.Click here to download the source code to this post Ii libcudnn8 8.2.2.26-1+cuda10.2 amd64 cuDNN runtime libraries Ii libcudnn7-dev 7.6.5.32-1+cuda10.2 amd64 cuDNN development libraries and headers Ii libcudnn7 7.6.5.32-1+cuda10.2 amd64 cuDNN runtime libraries It seems that cudnn is correctly installed, but if i type 'whereis libcudart.so' cannot find anything. 09:45:17.804281: I tensorflow/core/common_runtime/gpu/gpu_:1159] Device interconnect StreamExecutor with strength 1 edge matrix:

09:45:17.804126: I tensorflow/compiler/xla/service/:175] StreamExecutor device (1): GeForce GTX 970, Compute Capability 5.2 09:45:17.804120: I tensorflow/compiler/xla/service/:175] StreamExecutor device (0): GeForce GTX TITAN X, Compute Capability 5.2 09:45:17.804107: I tensorflow/compiler/xla/service/:168] XLA service 0x5618c9c16fa0 executing computations on platform CUDA. 09:45:17.803615: I tensorflow/stream_executor/cuda/cuda_gpu_:1006] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 09:45:17.799789: I tensorflow/stream_executor/cuda/cuda_gpu_:1006] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 09:45:17.638258: I tensorflow/compiler/xla/service/:175] StreamExecutor device (0): Host, Default Version 09:45:17.638237: I tensorflow/compiler/xla/service/:168] XLA service 0x5618c9c4f4f0 executing computations on platform Host. Follow the guide at for how to download and setup the required libraries for your platform.

Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. 09:45:17.612503: W tensorflow/core/common_runtime/gpu/gpu_:1641] Cannot dlopen some GPU libraries. 09:45:17.612481: I tensorflow/stream_executor/platform/default/dso_:44] Successfully opened dynamic library libcudnn.so.7 09:45:17.608611: W tensorflow/stream_executor/platform/default/dso_:55] Could not load dynamic library 'libcusparse.so.10.0' dlerror: libcusparse.so.10.0: cannot open shared object file: No such file or directory 09:45:17.608542: W tensorflow/stream_executor/platform/default/dso_:55] Could not load dynamic library 'libcusolver.so.10.0' dlerror: libcusolver.so.10.0: cannot open shared object file: No such file or directory 09:45:17.608475: W tensorflow/stream_executor/platform/default/dso_:55] Could not load dynamic library 'libcurand.so.10.0' dlerror: libcurand.so.10.0: cannot open shared object file: No such file or directory 09:45:17.608403: W tensorflow/stream_executor/platform/default/dso_:55] Could not load dynamic library 'libcufft.so.10.0' dlerror: libcufft.so.10.0: cannot open shared object file: No such file or directory 09:45:17.608334: W tensorflow/stream_executor/platform/default/dso_:55] Could not load dynamic library 'libcublas.so.10.0' dlerror: libcublas.so.10.0: cannot open shared object file: No such file or directory 09:45:17.608263: W tensorflow/stream_executor/platform/default/dso_:55] Could not load dynamic library 'libcudart.so.10.0' dlerror: libcudart.so.10.0: cannot open shared object file: No such file or directory Name: GeForce GTX 970 major: 5 minor: 2 memorењњlockRate(GHz): 1.253

09:45:17.608156: I tensorflow/core/common_runtime/gpu/gpu_:1618] Found device 1 with properties: 09:45:17.607791: I tensorflow/stream_executor/cuda/cuda_gpu_:1006] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero Name: GeForce GTX TITAN X major: 5 minor: 2 memorењњlockRate(GHz): 1.2155 09:45:17.607729: I tensorflow/core/common_runtime/gpu/gpu_:1618] Found device 0 with properties: This is the error that i have 09:45:17.606800: I tensorflow/stream_executor/cuda/cuda_gpu_:1006] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero

#UBUNTU 18.04 CUDA 10.0 TENSORFLOW INSTALL#

I have some problems in order to install tensorflow-gpu on Ubuntu 18.04 with CUDA 10.2.

Ubuntu 18.04 cuda 10.0 tensorflow