Comments (2)
Thanks @adesun
I once slightly modified RNNSharp to apply managedCuda, however, its performance is worse than CPU+SIMD version. :(
To leverage GPU performance completely, RNNSharp has to have a large design and code modification. It's timing cost and currently, I don't have bandwidth for it.
from rnnsharp.
I see. thx.
from rnnsharp.
Related Issues (20)
- Impact of run-time feature HOT 4
- LSTM RNN HOT 2
- Plan to Use LSTM for Time Series HOT 1
- Need Help With PRETRAIN_TYPE=Autoencoder HOT 2
- Null reference exception with ForwardRNN HOT 3
- Incremental training HOT 3
- imncremental training NullReferenceException after last update HOT 2
- Training takes too long!! HOT 20
- Using the library from .Net Core HOT 3
- AdvUtils.dll Issue HOT 3
- puzzled about function : logsumexp HOT 1
- A question regarding usage or RNNSharp for a particular problem
- NullReferenceException in DropoutLayer
- System Total Fail due to double-Number conversion problems for non "es-US" Cultures
- A few questions regarding how to exploit RNNSharp
- Is there a way to further reduce file size of the model without affecting network size?
- Time Complexity
- RNNSharp Pseudo code
- About inference time
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 rnnsharp.