Comments (5)
Jutho
commented on June 1, 2024
We are working on TensorOperations.jl behind the scene, to make it decouple it from CUDA as a requirement, and to make it easier to maintain different backends. This will definitely be part of that, but it will take some more time.
from tensoroperations.jl.
PhyX-Meow
commented on June 1, 2024
Good news to hear. Thank you!
from tensoroperations.jl.
sents
commented on June 1, 2024
If you need it right now you could use https://github.com/sents/TensorOperations.jl/tree/CUDA4 for the time being.
from tensoroperations.jl.
Jutho
commented on June 1, 2024
@sents , thanks for that. That could be useful for us, in particular @lkdvos who is currently spearheading the new version of TensorOperations.jl .
Also, these developments could be followed here: https://github.com/lkdvos/TensorOperations.jl/tree/v4
from tensoroperations.jl.
roflmaostc
commented on June 1, 2024
Hi!
Is there a rough timeline when the CUDA v4 compatibility will be released?
At least Tullio.jl depends on this and causes my code to be quite outdated...
from tensoroperations.jl.
Related Issues (20)
- possible memory leak with metaprogramming
- Why drop caching Tensors? HOT 3
- Is TensorOperations able to take advantage of symmetry in the output? HOT 8
- Manual allocation strategy HOT 2
- Floating Point Accuracy of @tensor results with CUDA HOT 3
- Enable multithreads when doing the permutedims in the TTGT algorithms HOT 2
- Unexpected `DimensionMismatch` (v4.0.2 -> v4.0.3) HOT 3
- Wrong result with subnetworks with equal labels HOT 2
- Bug in CUDA backend HOT 6
- Unintuitive `ncon` result when scalar HOT 2
- Taking gradients of traces HOT 6
- np.einsum_path vs TensorOperations HOT 3
- `ncon` fails with AD HOT 2
- `tensortrace` not working on Arrays of Symbolic Expressions from Symbolics.jl. HOT 2
- Combining LinearAlgebra.Diagonal with a CuArray inside @tensor HOT 2
- Compability with CUDA 5.2 HOT 3
- Confusion when using cuTENSOR HOT 4
- cuTENSOR not working with automatic differentiation HOT 5
- Freed reference problem when combining cuTENSOR and Zygote HOT 4
- TensorOperationscuTENSORExt fails to compile HOT 3
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 tensoroperations.jl.