You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
First of all - thanks for all the work that went into this. This is a huge help for someone starting out in this research area.
I'm looking to train a speech enhancement model and ultimately run inference on a resource-limited edge device. So model pruning and quantization is of particular interest to me. Has any one experimented with doing this within the asteroid framework? I know BaseModel inherits from a vanilla PyTorch nn class, so I imagine it should be possible to use the PyTorch pruning API.
Another question: has anyone implemented the CRUSE model in the asteroid framework? This looks like a good model to try given my resource constraints.
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
-
Hi all,
First of all - thanks for all the work that went into this. This is a huge help for someone starting out in this research area.
I'm looking to train a speech enhancement model and ultimately run inference on a resource-limited edge device. So model pruning and quantization is of particular interest to me. Has any one experimented with doing this within the asteroid framework? I know BaseModel inherits from a vanilla PyTorch nn class, so I imagine it should be possible to use the PyTorch pruning API.
Another question: has anyone implemented the CRUSE model in the asteroid framework? This looks like a good model to try given my resource constraints.
Thanks!
Beta Was this translation helpful? Give feedback.
All reactions