-
```
This is an enhancement rather than an issue.
It would be nice to have several functions operate across multiple gpus
double gpuSumProd(vec, vec): this would compute the dot-product of two vecto…
-
```
This is an enhancement rather than an issue.
It would be nice to have several functions operate across multiple gpus
double gpuSumProd(vec, vec): this would compute the dot-product of two vecto…
-
### 🚀 The feature, motivation and pitch
The nonlinear conjugate gradient (CG) method is a good alternative to the L-BFGS optimizer. Features of nonlinear CG:
1. It theoretically converges faster…
-
The torch.nn.optim docs promised me conjugate gradient descent (mentions it in the closure section), but it's not there. No references to the algorithm in the code base either :(. Not yet ported from …
-
```
This is an enhancement rather than an issue.
It would be nice to have several functions operate across multiple gpus
double gpuSumProd(vec, vec): this would compute the dot-product of two vecto…
-
Hi,
I'm compiling bart within an apptainer (singularity) container. Here's the recipe:
Singularity container recipe
```
Bootstrap: docker
From: nvidia/cuda:12.5.1-devel-ubuntu22.04
Stage…
-
Could you please give me a sense/reference what these two func meaing for?
-
### 🚀 The feature, motivation and pitch
I am a compute fluid dynamic software developer. Pytorch really helped me for using GPU to accelerate computing. However, in compute fluid dynamic or other m…
-
Sometimes some is the test cab fail due to numerical issues. In most case (like 98%) they run just fine.
e.g.:
```
mltool $ ./scripts/test_runner.py
mltool-0.1.0.0: test (suite: mltool-test)…
-
The conjugate gradient with constrained and LBFGSB needs to be tested properly.