No need to be snarky. The choice to default to FP32 is inspired by the fact that most typical use cases don't need double-precision (GPU shader languages and ga

No need to be snarky. The choice to default to FP32 is inspired by the fact that most typical use cases don't need double-precision (GPU shader languages and game engines do this all the time). This in turn allows us to vectorize code for 2x throughput compared to using FP64. We're gonna add a flag to change the default floating-point precision for devs who need extra precision. See docs: https://docs.fxn.ai/predictors/requirements#floating-point-values https://docs.fxn.ai/predictors/requirements#floating-point-v...