I have some problems in order to install tensorflow-gpu on Ubuntu 18.04 with CUDA 10.2.
This is the error that i have
2021-08-03 09:45:17.606800: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc: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
2021-08-03 09:45:17.607729: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties:
name: GeForce GTX TITAN X major: 5 minor: 2 memoryClockRate(GHz): 1.2155
pciBusID: 0000:02:00.0
2021-08-03 09:45:17.607791: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc: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
2021-08-03 09:45:17.608156: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 1 with properties:
name: GeForce GTX 970 major: 5 minor: 2 memoryClockRate(GHz): 1.253
pciBusID: 0000:01:00.0
2021-08-03 09:45:17.608263: W tensorflow/stream_executor/platform/default/dso_loader.cc: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
2021-08-03 09:45:17.608334: W tensorflow/stream_executor/platform/default/dso_loader.cc: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
2021-08-03 09:45:17.608403: W tensorflow/stream_executor/platform/default/dso_loader.cc: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
2021-08-03 09:45:17.608475: W tensorflow/stream_executor/platform/default/dso_loader.cc: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
2021-08-03 09:45:17.608542: W tensorflow/stream_executor/platform/default/dso_loader.cc: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
2021-08-03 09:45:17.608611: W tensorflow/stream_executor/platform/default/dso_loader.cc: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
2021-08-03 09:45:17.612481: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2021-08-03 09:45:17.612503: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1641] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
2021-08-03 09:45:17.637589: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3602230000 Hz
2021-08-03 09:45:17.638237: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5618c9c4f4f0 executing computations on platform Host. Devices:
2021-08-03 09:45:17.638258: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): Host, Default Version
2021-08-03 09:45:17.799789: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc: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
2021-08-03 09:45:17.803615: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc: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
2021-08-03 09:45:17.804107: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5618c9c16fa0 executing computations on platform CUDA. Devices:
2021-08-03 09:45:17.804120: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): GeForce GTX TITAN X, Compute Capability 5.2
2021-08-03 09:45:17.804126: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (1): GeForce GTX 970, Compute Capability 5.2
2021-08-03 09:45:17.804281: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1159] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-08-03 09:45:17.804292: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1165]
It seems that cudnn is correctly installed, but if i type "whereis libcudart.so" cannot find anything.
dpkg -l | grep cudnn
ii libcudnn7 7.6.5.32-1+cuda10.2 amd64 cuDNN runtime libraries
ii libcudnn7-dev 7.6.5.32-1+cuda10.2 amd64 cuDNN development libraries and headers
ii libcudnn8 8.2.2.26-1+cuda10.2 amd64 cuDNN runtime libraries
ii libcudnn8-dev 8.2.2.26-1+cuda10.2 amd64 cuDNN development libraries and headers
What do i have to do??
