-
Writeup on prover for machine learning
- https://github.com/zkonduit/ezkl, proving nano-chatGPT
- https://github.com/ddkang/zkml, proving GPT-2, BERT and CLIP
- https://medium.com/@danieldkang/ve…
-
Hi, there!
First, I show you my example.
```
BLAS.set_num_threads(1)
block_mat1 = Matrix(1,1)
block_mat2 = Matrix(2,2)
block_mat3 = Matrix(3,3)
block_mat4 = Matrix(4,4)
block_mat1[1,1] = ones(…
-
Great package, Drew. I'm already benefiting from it, thank you.
I have a question/feature request that I hope might be of interest to you. Suppose I have a "wide" matrix, `X`, with `r` rows and `c` c…
-
The boids example is the best compute shader example that can be leached from wgpu. More examples need to be identified(probably from github) and implemented. I'm going to start a list of possible exa…
-
Giving nalgebra the ability to use SSE/SSE2/SSE3/SSE4/AVX instructions to preform matrix/vector computations on compatible x86 platforms would be a rather good idea, considering SSE was designed for t…
-
having .s() return nothing on an RNN's initial state is very confusing (at least to me), as there must be some kind of value from which the RNN starts and not revealing it just hides what's going on (…
-
### Is there an existing issue for this?
- [X] I have searched the existing issues for a bug report that matches the one I want to file, without success.
### Did you read the documentation and t…
-
Hi,
Your paper is really interesting and thank you for providing your code.
I am currently trying to add additional features to the RNN input. I don't get any errors but the gpu utilisation drops…
-
**Problem**
Currently, the schema which is supported by the graphData is `{ nodes: [], links: [] }`. Mostly client does a lot of computations using Adjacency Matrix `{nodes: [ links: [], metadata:{} …
-
I am dealing with a case in which I have many thousands of points in a huge area. As a result, the cost matrix computation takes an exceedingly long time. I think that this could be mitigated if there…