Jay Desai

https://github.com/xingyizhou/CenterNet2/issues/39#issuecomment-827180781

@abhigoku10 BiFPN uses 3 weights of shape (1,) and multiplies it with 3 features while asff uses 3 weights of shape (1,1,n,n) and multiplies with 3 features i.e. with x0.shape...

@glenn-jocher check this out shape of weight- batch, (1 of 3 channels),mat-size,mat-size Shape of level 1 - batch, n_channels, mat-size,mat_size fused_level_1 = level_1 * weight_level_1[:, 0:1, :, :] +\ level_2to1...

> @djaym7 yes I think I understand now, you are correct in your original explanation. So do you create a new convolutional module to create these weights at each yolo...

Can someone mirror this to google drive or dropbox ... ?

@xinqingguo did you set the env variable os.environ["GRADIO_ANALYTICS_ENABLED"] = "False" or some parameter ?

What's the solution ? and why closed ?

same issue with gpt models on HF

same with longformer

OpenDevin git:(main) ✗ make start-frontend Starting frontend... > [email protected] start > vite --port 3001 node:internal/errors:478 ErrorCaptureStackTrace(err); ^ Error: ENOSPC: System limit for number of file watchers reached, watch '/local/home/jdesa/Agent/OpenDevin/frontend/vite.config.ts' at...