Comments (3)
ttoinou
commented on August 14, 2024
I don't know the answer for true parallelization but I think it might be possible to train one model per GPU (or maybe train a two image style on two gpu by regularly swapping models between two gpu) and to generate one model per GPU in parallel. At least the power computation is not lost (a good example would be for images sequence or dividing a big image into multiple block generated in parallel)
from chainer-fast-neuralstyle.
yusuketomoto
commented on August 14, 2024
The codes doesn’t support multiple GPU parallel computation. In general there are two types of parallel computation: model-parallel and data-parallel. You can implement both types of parallel computation with Chainer referring to this.
from chainer-fast-neuralstyle.
ycjing
commented on August 14, 2024
@ttoinou @yusuketomoto Thank you very much! I'll have a try.
from chainer-fast-neuralstyle.
Related Issues (20)
- kanagawa
- the result is dark when it is used for super resolution
- Is there a style size?
- why do you set batch_size equal 1 HOT 1
- OutOfMemoryError when generate on Azure ND6 VM
- RuntimeError: CUDA environment is not correctly set up
- cupy.cuda.compiler.CompileException: nvrtc: error: failed to load builtins HOT 5
- LC_RPATH @executable_path error or libnvrtc-builtins.dylib error HOT 5
- How much is the proper training epoch?
- hello! can you code Fast Neural Style Transfer with Arbitrary Style ? HOT 6
- Memory error without GPU. HOT 1
- ValueError: test argument is not supported anymore. Use chainer.using_config HOT 5
- error in run train.py
- Style transfer between any two images - iOS App needs beta tester HOT 6
- volatile argument is not supported anymore. Use chainer.using_config HOT 10
- Output size few pixels smaller
- Artx - iOS App that transfer styles between any two images HOT 4
- how to download vgg16 and setup it ?
- error in sh setup_model.sh HOT 1
- RuntimeError: CUDA environment is not correctly set up HOT 1
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 chainer-fast-neuralstyle.