@@ -29,29 +29,42 @@ MACE supports post-training quantization if you want to take a chance to quantiz
This method requires developer to calculate tensor range of each activation layer statistically using sample inputs.
MACE provides tools to do statistics with following steps:
1. Convert original model to run on CPU host without obfuscation (by setting `target_abis` to `host`, `runtime` to `cpu`, and `obfuscate` to `0`, appending `:0` to `output_tensors` if missing in yaml config).
E.g.,
1. Convert original model to run on CPU host without obfuscation (by setting `target_abis` to `host`, `runtime` to `cpu`,
and `obfuscate` to `0`, appending `:0` to `output_tensors` if missing in yaml config). E.g.,