So, I decided to install it directly to download. Now, I download a file which is named “torch-2.0.0+cu117-cp310-cp310-win_amd64.whl” and I have a venv (virtual environment) for my project, but I don’t know how to connect this file to the project to import and use it.
Before that, I handled all the configs related to Cuda of my system, so I don’t have any problems with them. Cuda:
This is some information about my PC:
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Wed_Feb__8_05:53:42_Coordinated_Universal_Time_2023
Cuda compilation tools, release 12.1, V12.1.66
Build cuda_12.1.r12.1/compiler.32415258_0
Pip version: 21.2.3
Python version: Python 3.10.0 & 3.11.2
System type: 64-bit operating system
GPU: NVIDIA GeForce GTX 1650 Ti
Your locally installed CUDA toolkit won’t be used by the PyTorch binaries as they ship with their own CUDA library dependencies. You would only need to install a proper NVIDIA driver.
Could you post the error message you were getting from the pip install command?
I don’t know what exactly you’ve installed but if applications can communicate with your GPU the driver installation might be alright.
The posted error message indicates a timeout so I would recommend either rerunning the same command or checking if e.g. a firewall is preventing the download.
How should I check that GPU can communicate with applications?
I think that’s ok because I have a driver in the device manager of my PC and also I can check the version of my NVIDIA toolkit. Thus, I installed all of them right.
For that error, I’ve tried many times but when the downloaded file reaches 1.7GB, it suddenly stops and gives me that error. I asked about this in some groups in my country, they said that was because of our connection.
So, if I want to install that downloaded file I mentioned earlier, I mean “torch-2.0.0+cu117-cp310-cp310-win_amd64.whl”, how can I do that?
