Python Forum

Hello,

I had a lot of troubles while trying to make work TensorFlow with GPU support.
I plan to reinstall all the necessary tools.
If my vision is correct, the tools necessary to run TensorFlow on a computer with NVIDIA card are the following:

• TensorFlow itself
  
• CUDA
  
• CUDA dev. kit
  
• cuDNN
  
• NVIDIA drivers for graphical card
  

TensorFlow must be last tool in this list to install.
And all of these tools (or at least some of them) will not work properly (or simply will not work at all) if during installation you are not careful about the versions of the corresponding tools.
So, before starting I want to clarify two questions:

• Actually the last version of TF is 2.1.0. Is it compatible with last version of CUDA which is 10.2 ?
  
• In all manuals I've seen until now TF is installed using pip. Why not pip3 ?
  

Thanks

Hallo.

I run Tensorflow 2.1.0 and Cuda 10.2

I did installing it by pip install and had installed everything in that way. I run python 3.7 in Spyder.

(Mar-19-2020, 04:31 PM)Finpyth Wrote: [ -> ]Hallo.

I run Tensorflow 2.1.0 and Cuda 10.2

I did installing it by pip install and had installed everything in that way. I run python 3.7 in Spyder.

Everything in that way ... what do you mean saying this. After all other components from the list aren't python modules and are installed without pip.
BTW which version of NVIDIA driver and which version of cuDNN you have installed ?
Thanks.