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
Hi JitteryCoyote63
What do you have in the agent.cuda_version ?
(you can see it printed at the beginning of the log)
agent.cuda_version = 0 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)
python3 -m trains_agent --config-file "~/trains.conf" daemon --queue default --log-level DEBUG --detached --gpus 1 > ~/trains-agent.startup.log 2>&1
what do you see in the console when you start the trains-agent , it should detect the cuda version
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 = 110 agent.cudnn_version = 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
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
AgitatedDove14 one last question: how can I enforce a specific wheel to be installed?
You can always force it with environment variable CUDA_VERSION=10.1
I don't know why it didn't detect it in first place
That depends on what you have installed 🙂