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Our designs ended up trained employing PyTorch AMP for blended precision. AMP keeps model parameters in float32 and casts to half precision when required.quite possibly also things such as roller bearings that happen to be smaller than they would want being for a longer daily life, but were preferred that measurement to save lots of excess weight.E