Comments (3)
Hi @svekars and @XA23i, what about this?
" This method converts both the weights and the activations to 8-bit integers beforehand so there wonβt be on-the-fly conversion on the activations during the inference, as the dynamic quantization does. While post-training static quantization can significantly enhance inference speed and reduce model size, this method may degrade the original model's performance."
from tutorials.
@jerryzh168 any thoughts?
from tutorials.
yes, I think it makes sense. Thank you.
from tutorials.
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