[D]Opinions on dealing with Numpy subnormal computation warning

Prof. Brendan Dolan-Gavitt at NYU have just published a finding [someones been messing with my subnormals](https://moyix.blogspot.com/2022/09/someones-been-messing-with-my-subnormals.html).

1. Non-regular floating-point numbers (subnormal)

According to [IEEE754](http://zh.wikipedia.org/wiki/IEEE_754), floating-point numbers are composed of sign bit, exponent, and mantissa. For 8-byte double type data, the exponent bit has 11 bits, which can represent the order of 2 The range is -1022~+1023, and the value of the corresponding exponent part is 1~2046 (plus an offset of 1023).

The mantissa of the double type has 52 bits, …

computation machinelearning numpy opinions