Comments (2)
I think it depends a bit on what you would like. The current implementation uses cuTENSOR to implement arbitrary contractions between CuArrays, and as far as I know this does not support Diagonal. Of course, in the specific case of matrix multiplication, we could use CUDA to compute the result. I would think it is possible to play some stride tricks to get cuTENSOR to work with diagonal matrices in the cases where the contractions are not just matrix multiplication but I can't say I currently have the time to play around with it. However, if you want to give it a go, I could point you to some examples of what I have in mind
from tensoroperations.jl.
Thanks for the explanation. In my case, I was able to do the scaling due to the Diagonal matrix separately to the @tensor macro, so this isn't too important to me now.
from tensoroperations.jl.
Related Issues (20)
- 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 3
- 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
- Compability with CUDA 5.2 HOT 4
- Confusion when using cuTENSOR HOT 5
- cuTENSOR not working with automatic differentiation HOT 5
- Freed reference problem when combining cuTENSOR and Zygote HOT 8
- TensorOperationscuTENSORExt fails to compile HOT 4
- Costchecks are not using `GlobalRef` HOT 2
- Optdata cannot use `Int` as labeltype HOT 1
- install newest version? HOT 8
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.