-
## 🐛 Bug
## To Reproduce
Steps to reproduce the behavior:
1. I run the following code, and observe memory usage by `nvidia-smi`
```
import torch
a = torch.randn(64,16,200,200)
a = a…
-
windows 10 RTX3090
I want to install mxnet,but I do not find mxnet version to match with RTX3090.so whl file can supply or how can compile it with windows 10 or win11.
-
I have an RTX 3090, I'm using Ubuntu through SSH on another computer. On a fresh install of A1111, I went to extensions => then added the git and clicked installed, but it stays over 10 minutes at "pr…
-
Thank you very much for your excellent work. I only have one RTX3090. How should I modify the configuration file to achieve the model trained by you on multiple cards?
-
Hi, I am trying to Finetune HMR2.0 on 3 RTX3090. It works fine when I only train it on 1 gpu.
When I set trainer.devices=3, I received the error:
ValueError: ctypes objects containing pointers can…
-
之前用的RealESRGANv2-animevideo-xsx2,1080p超2160p,RX480 1分钟34图,RTX3090 1分钟173图
然后realcugan,RTX3090 1分钟只有35图,并且cuda占用率只有40%
剩余配置是i9 7980XE、双通道32G
-
I tried to setup up swift-diffusion with CUDA, the build seems to run without any error.
But when i generate an image with txt2img, i get gray image. the diffusion steps run very fast. And there is n…
ghost updated
1 month ago
-
Hello, I've recently switched computers to be able to run the Resnet101 part of the Mask RCNN code. The problem I've been facing is that the program keeps using the CPU instead of the GPU.
**Curre…
-
Load to GPU: UNet3DModel
Unload to CPU: UNet3DModel
Traceback (most recent call last):
File "/usr/local/lib/python3.10/site-packages/gradio/queueing.py", line 528, in process_events
response…
-
I tried to run distributed training on multi machine single GPU, and found it takes much more time than training on single machine single GPU, so I made the following test:
Config: configs/coco/ins…