search

tensorflow / tflite-micro

Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
Apache License 2.0
1.81k stars 793 forks source link

Force symmetric filter weights #624

Closed tbec closed 1 year ago

tbec commented 2 years ago

From fully_connected_common.cc I see that filter weights must be symmetric, i.e. zero_point=0. How can I achieve this? Also, is it only possible by using quantization-aware training, or it can it be done during post-training quantization? Is there a reference or example I can refer to? Thanks

github-actions[bot] commented 1 year ago

"This issue is being marked as stale due to inactivity. Remove label or comment to prevent closure in 5 days."

github-actions[bot] commented 1 year ago

"This issue is being closed because it has been marked as stale for 5 days with no further activity."