-
### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
-
Hi, I want to ask does it support global structure pruning. Does it support ultralytics yolov8 model? Thank you
-
Hi, Thank you for your code. I used pytorch structure pruning for global pruning. I could find 0 in weight_mask, before prune.remove(module, 'weight')
My code is like this:
for name, module in m…
-
I tried to use torch pruning to do filter pruning
The model I want to prune is ResNet18
```cpp
model.to(device)
model.eval()
example_inputs = torch.randn(1, 3, 32, 32).to(device)
before = summ…
-
**Step 2**: Prune the models (SECOND as example, on 8 GPUs):
**How long does it take for you to fall on the dataset once during the pruning iteration process?**
-
Any possible way to prune these 6 GB models? :/
I'm 20 MB over my VRAM.
-
Hello!
I'm designing a model for time series data prediction, and I haven't executed any specific pruning commands. After several epochs, I used the command **"model.fc_kan.plot(beta=100); plt.show…
-
### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussion…
-
**Is your feature request related to a problem? Please describe.**
A good deal of recent literature on quantization/pruning/distillation uses pre-activation resnet (resnetv2) as preliminary results. …
-
Before Pruning: MACs=1.009904 G, #Params=0.007226 G
After Pruning: MACs=0.379899 G, #Params=0.002635 G
image 1/128 D:\Torch-Pruning-master\data\coco128\images\train2017\000000000009.jpg: 480x640 (no…