Comments (3)
Hello, thank you for your interest.
Actually, it is not tested yet since I ended up with not using the distributed training, but you may use following command for two GPUs,
CUDA_VISIBLE_DEVICES=0,1 python -m torch.distributed.launch --nproc_per_node=2 --master_port=$RANDOM train.py --config configs/UACANet-L.yaml --verbose --debug
Also, note that you may not use Expr.py
; instead, just run run/Test.py
and run/Eval.py
each.
Let me know if there's still problem.
from uacanet.
Hello @plemeri.Thank you for your help.
In general, distributed training allows each GPU to allocate the same size of memory. But.
from uacanet.
I'm currently unable to access any GPU server at this moment, so I'll check if there's any issue.
Besides, it looks like you have RTX 3090 which should be sufficient to train our network with only single device, so until then, you can use them individually.
Thanks!
from uacanet.
Related Issues (14)
- About SFA implementation HOT 3
- Results on ETIS-LaribPolypDB dataset HOT 3
- Clarification on pretrained weights HOT 1
- Could you please tell me how to get the CVC-300,CVC-ColonDB,ETIS dataset HOT 1
- A small question in Train.py
- About checkpoint saved HOT 1
- The evaluation result is not good. HOT 11
- About this Baseline model HOT 4
- about "break" in train.py HOT 1
- Some questions about the ‘bce_iou_loss’ function HOT 2
- result problem HOT 1
- Some questions about Axial-attention HOT 7
- Multiple classes training HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from uacanet.