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There are many potential ways to do quantization for a neural network, for example, different bits for forward and backward, different number type for forward and backward. However, sometimes we also prefer simple quantization. We should add APIs to support:
pass in 1 set of argument and use it for both forward and backward
use 1 argument to change all number types for WAGEM, use 1 argument to change all rounding scheme for WAGEM.
change argument to take number format object instead.
The text was updated successfully, but these errors were encountered:
There are many potential ways to do quantization for a neural network, for example, different bits for forward and backward, different number type for forward and backward. However, sometimes we also prefer simple quantization. We should add APIs to support:
The text was updated successfully, but these errors were encountered: