Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

CUDDA status error #8826

Closed
mizo-1980 opened this issue Aug 20, 2023 · 2 comments
Closed

CUDDA status error #8826

mizo-1980 opened this issue Aug 20, 2023 · 2 comments

Comments

@mizo-1980
Copy link

Hello
I still not able to run darknet.exe
i write the command like >>
D:\darknet>darknet.exe detect cfg/yolov4.cfg yolov4.weights data/dog.jpg
CUDA-version: 12020 (12020), cuDNN: 8.9.4, GPU count: 1
OpenCV version: 4.8.0
0 : compute_capability = 500, cudnn_half = 0, GPU: NVIDIA GeForce GTX 960M
net.optimized_memory = 0
mini_batch = 1, batch = 8, time_steps = 1, train = 0
layer filters size/strd(dil) input output
0 Create CUDA-stream - 0
Create cudnn-handle 0
conv 32 3 x 3/ 1 608 x 608 x 3 -> 608 x 608 x 32 0.639 BF
1 conv 64 3 x 3/ 2 608 x 608 x 32 -> 304 x 304 x 64 3.407 BF
2 conv 64 1 x 1/ 1 304 x 304 x 64 -> 304 x 304 x 64 0.757 BF
3 route 1 -> 304 x 304 x 64
4 conv 64 1 x 1/ 1 304 x 304 x 64 -> 304 x 304 x 64 0.757 BF
5 conv 32 1 x 1/ 1 304 x 304 x 64 -> 304 x 304 x 32 0.379 BF
6 conv 64 3 x 3/ 1 304 x 304 x 32 -> 304 x 304 x 64 3.407 BF
7 Shortcut Layer: 4, wt = 0, wn = 0, outputs: 304 x 304 x 64 0.006 BF
8 conv 64 1 x 1/ 1 304 x 304 x 64 -> 304 x 304 x 64 0.757 BF
9 route 8 2 -> 304 x 304 x 128
10 conv 64 1 x 1/ 1 304 x 304 x 128 -> 304 x 304 x 64 1.514 BF
11 conv 128 3 x 3/ 2 304 x 304 x 64 -> 152 x 152 x 128 3.407 BF
12 conv 64 1 x 1/ 1 152 x 152 x 128 -> 152 x 152 x 64 0.379 BF
13 route 11 -> 152 x 152 x 128
14 conv 64 1 x 1/ 1 152 x 152 x 128 -> 152 x 152 x 64 0.379 BF
15 conv 64 1 x 1/ 1 152 x 152 x 64 -> 152 x 152 x 64 0.189 BF
16 conv 64 3 x 3/ 1 152 x 152 x 64 -> 152 x 152 x 64 1.703 BF
17 Shortcut Layer: 14, wt = 0, wn = 0, outputs: 152 x 152 x 64 0.001 BF
........
.........
and finally i have
Done! Loaded 162 layers from weights-file
Detection layer: 139 - type = 28
Detection layer: 150 - type = 28
Detection layer: 161 - type = 28
CUDA status Error: file: D:\darknet\src\blas_kernels.cu: func: add_bias_gpu() line: 121

CUDA Error: no kernel image is available for execution on the device

image
1

and i think i have every think ok
1

ANY Idea?
thanks

@rian-cst
Copy link

Hi,

This appears to be an issue with the CUDA architecture that you have chosen.

For a Nvidia GTX 960M, the CUDA architecture compute version seems to be 5.0.

@mizo-1980
Copy link
Author

thak you for your response ( rian-cst )

@cenit cenit closed this as completed Sep 9, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants