Comments (5)
I had to manually install pytorch to get it to run on the GPU.
Run the command from here: https://pytorch.org/get-started/locally/
Make sure you have the correct version of Cuda installed (11.7) as well
from point-e.
Same issue here. GPU util 0%, CPU up to 77%
from point-e.
Uninstall torch and torchvision, then try:
install torch torchvision --extra-index-url https://download.pytorch.org/whl/cu117
from point-e.
not sure if I wanna screw anything up, at the moment I run it with certain parameters, which my 8gb seems to handle. Problem is I can't seem to allow a sufficient standard for proper embedding training.
Regarding what's in that Link of @Arkay92 mention, what's that about "torch.cuda.device_of() function to determine if the input tensors are on the GPU or CPU" - is it solely for the Colab or I can use it somehow running webUI? to see utilization of GPU
from point-e.
not sure if I wanna screw anything up, at the moment I run it with certain parameters, which my 8gb seems to handle. Problem is I can't seem to allow a sufficient standard for proper embedding training.
Regarding what's in that Link of @Arkay92 mention, what's that about "torch.cuda.device_of() function to determine if the input tensors are on the GPU or CPU" - is it solely for the Colab or I can use it somehow running webUI? to see utilization of GPU
Hi, seems I may have overthought the gpu detection and need to rework in a new PR but with the current one it should delete old gradients in the forward pass leading to much faster compilation on point diffusion stuff check it out and let me know if you have any issues π
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Related Issues (20)
- How to generate a Point cloud batch file?
- number of points
- java implementation
- Support for other dtypes
- module 'clip' has no attribute 'load'
- Test
- TypeError: 'float' object cannot be interpreted as an integer HOT 2
- Adjusted model and diffusion configs do not work
- Error - No module named 'clip' HOT 2
- virtual environment setup
- Code for create uniform 4K points from renders as stated in the paperοΌ HOT 1
- how to create a high resolution mesh for human organs
- About reprojected pixel to point cloud HOT 1
- Training Time (GPU hours)
- txt2pointcloud PytorchStreamReader failed reading zip archive HOT 1
- it seems the img2point can`t fit all imgs HOT 1
- Return Points with simple API Request? HOT 2
- how to get the same point cloud rendering result as your paper?
- TypeError: __init__() got an unexpected keyword argument 'device' HOT 1
- pelota
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