Feat (core): use runtime parameter for scale #1037
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Giuseppe5
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LGTM! Once the conflicts are fixed and the tests pass, this can be merged. |
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nickfraser
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Nov 5, 2024
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It should help with the implementation of quantized scales since we can rely on the runtime value to compute scale rather than used the tracked parameter.
A bit more forward looking, this is a more """functional""" implementation of quantization, more similar to what happens with activations.
If we assume that group_dim can also become a runtime parameter, this could help towards having a """functional""" weight quantizer that it is not attached to any specific layer
@nickfraser