What you actually specified is torch the @ is kind of pip remark, pip will not actually parse it 🙂
use only the link https://download.pytorch.org/whl/cu100/torch-1.3.1%2Bcu100-cp36-cp36m-linux_x86_64.whl
I specified a torch @ https://download.pytorch.org/whl/cu100/torch-1.3.1%2Bcu100-cp36-cp36m-linux_x86_64.whl and it didn't detect the link, it tried to install latest version: 1.6.0
cuda 10.1, I guess this is because no wheel exists for torch==1.3.1 and cuda 11.0
Correct
how can I enforce a specific wheel to be installed?
You mean like specific CUDA wheel ?
you can simple put the http link to the wheel in the "installed packages", it should work
AgitatedDove14 one last question: how can I enforce a specific wheel to be installed?
I have 11.0 installed but on another machine with 11.0 installed as well, trains downloads torch for cuda 10.1, I guess this is because no wheel exists for torch==1.3.1 and cuda 11.0
That depends on what you have installed 🙂
I don't know why it didn't detect it in first place
You can always force it with environment variable CUDA_VERSION=10.1
agent.cuda_version = 110 agent.cudnn_version = 0
(since you are using venv mode, if the cuda is not detected at startup time, it will not install the GPU version, as it has no CUDA support)
what do you see in the console when you start the trains-agent , it should detect the cuda version
python3 -m trains_agent --config-file "~/trains.conf" daemon --queue default --log-level DEBUG --detached --gpus 1 > ~/trains-agent.startup.log 2>&1
This is also set in the command line.
--cpu-only or maybe without any --gpus flag at all
OK but nowhere I specified that, I just checked my trains.conf file
agent.cuda_version = 0 agent.cudnn_version = 0
Hi JitteryCoyote63
What do you have in the agent.cuda_version ?
(you can see it printed at the beginning of the log)