Operating system and DeepLabCut version
Windows 10, with an Anaconda Env, & DeepLabCut 2.x.
CUDA 10, tf 1.13.1
GTX 1080 TI
The problem
When I launch the training, the training starts, but it doesn't utilize my GPU that well. 1000 iterations took about 5-11 minutes(?). Here is my log.txt
I have reinstalled my drivers, including CUDA; rebuilt my conda environment. In the meantime, I should mention that the card does in fact draw a lot of power, and that it may in fact be utilized. I just can't see it on task manager.
How to Reproduce the problem
Steps to reproduce the behavior:
Run deeplabcut.train_network(path_config_file, gputouse=0)
Over view of my GPU usage
Operating system and DeepLabCut version
Windows 10, with an Anaconda Env, & DeepLabCut 2.x.
CUDA 10, tf 1.13.1
GTX 1080 TI
The problem
When I launch the training, the training starts, but it doesn't utilize my GPU that well. 1000 iterations took about 5-11 minutes(?). Here is my log.txt
I have reinstalled my drivers, including CUDA; rebuilt my conda environment. In the meantime, I should mention that the card does in fact draw a lot of power, and that it may in fact be utilized. I just can't see it on task manager.
How to Reproduce the problem
Steps to reproduce the behavior:
Run
deeplabcut.train_network(path_config_file, gputouse=0)Over view of my GPU usage
