-
Hi, thanks for the great effort. Is there any benchmark against native CUDA code? I can use this to write a GPU version of my GBM algorithm.
https://github.com/perpetual-ml/perpetual
-
My use case scenario is deploying model inference services in the cloud, utilizing GPU virtualization technology to split one GPU into multiple instances. Each instance runs a model, and since one car…
-
1. pick a classical algorithm (e.g. HCAL reconstruction) that has already been ported to CUDA
2. get GPU code for that algorithm
3. set up custom backend using library for that algorithm
4. set up …
-
### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussi…
-
Hi,
I have tried running inference.py on 363 complexes given on testset_csv.csv. But getting failed cases on CPU are 21 complexes (linalg.svd: The algorithm failed to converge because the input matr…
-
hi so I have a problem using Nvidia GPU and I saw you said to use xmrig-cuda. I downloaded the newest one then I downloaded v10 both times it didn't work. in running it on a GeForce gt 710, maybe its …
-
### 🐛 Describe the bug
## Issue Description
After updating to macOS 14.4, I have encountered significant performance degradation when using MPS with the deterministic algorithm **enabled**.
## …
-
hello dear dose any one know why result of SSD Algorithm produced too many boxes on my video during inferences .I trained for 20000 iteration with 32 batch size and earning rate of 1e-7 .
second issu…
-
GPU 3: Dual mining disabled: Not supported for this algorithm combination.
GPU 4: Dua1 mining disabled: Not supported for this algorithm combination.
GPU 0: Dual mining disabled: Not supported for t…
-
### Description
When trying to run a longer algorithm, the execution fails with an error message without a more precise indication of where in the code the issue occurred:
```
F external/xla/xla/se…