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For scale>1, the adjustment adds 0.1mscaleln(scale) to one. The code returns one for scale≤1. One parameter specifies the context extension, while the other controls adjustment strength; the returned value should not be confused with the input parameter also named mscale.
Terms & definitions
| Term | Meaning in this source |
|---|---|
| scale | Context extension factor |
| mscale | Magnitude-adjustment strength |
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Original context
Read the surrounding source passage
def yarn_get_mscale(scale=1, mscale=1):
if scale <= 1:
return 1.0
return 0.1 * mscale * math.log(scale) + 1.0
def yarn_linear_ramp_mask(min, max, dim):Exact original notation
return 0.1 * mscale * math.log(scale) + 1.0