A GLM with n=500 and p=100, needs float64 to converge; Deep learning model with billions of params = float16. HOW
A GLM with n=500 and p=100, needs float64 to converge; Deep learning model with billions of params = float16. HOW
Read more: destevez.net/2024/11/hera...
Read more: destevez.net/2024/11/hera...
a modest proposal by @vmx.cx
hackmd.io/@vmx/floats-...
please share if you <3 #atprotocol and also numeric data types
#datamodels #atproto #whynofloats #float64 #ieee754 #atgeo
a modest proposal by @vmx.cx
hackmd.io/@vmx/floats-...
please share if you <3 #atprotocol and also numeric data types
#datamodels #atproto #whynofloats #float64 #ieee754 #atgeo
Uninlined generic functions have a "dict" arg, since Go generics are neither erased nor monomorphized, but instead instantiated for each "GC shape" (e.g. T=*int and T=*float64 get the same code, but T=int32 and T=int64 do not).
Uninlined generic functions have a "dict" arg, since Go generics are neither erased nor monomorphized, but instead instantiated for each "GC shape" (e.g. T=*int and T=*float64 get the same code, but T=int32 and T=int64 do not).
cybersect.substack.com/p/pi-is-exac...
cybersect.substack.com/p/pi-is-exac...
(huge_number - huge_number2)
which can lead to machine precision noise in python computing, while mpmath can help a lot, sometimes just doing
(huge_number.astype('float64') - huge_number2.astype('float64'))
does the job more elegantly!
(huge_number - huge_number2)
which can lead to machine precision noise in python computing, while mpmath can help a lot, sometimes just doing
(huge_number.astype('float64') - huge_number2.astype('float64'))
does the job more elegantly!
it's also remarkably fast
it's also remarkably fast
構造体のフィールドをコマンドラインオプションの受け皿にする struct2flag を更新しました
>Release v0.2.0 · hymkor/struct2flag github.com/hymkor/struc...
- BindTag メソッドを追加し、任意の構造体タグ名を利用できるようにした
- float64, time.Duration をサポート
構造体のフィールドをコマンドラインオプションの受け皿にする struct2flag を更新しました
>Release v0.2.0 · hymkor/struct2flag github.com/hymkor/struc...
- BindTag メソッドを追加し、任意の構造体タグ名を利用できるようにした
- float64, time.Duration をサポート
This is the value "12.5" encoded into a Float64 (default size in #ElixirLang)
It's also a little teaser for my next blog post about binary pattern matching in Elixir ;)
This is the value "12.5" encoded into a Float64 (default size in #ElixirLang)
It's also a little teaser for my next blog post about binary pattern matching in Elixir ;)
s/o @ptr.pet for hydrant and for pushing us forward!
s/o @ptr.pet for hydrant and for pushing us forward!
Unable to allocate 129. PiB for an array with shape (134217728, 134742528) and data type float64
Awwww, why not?
Unable to allocate 129. PiB for an array with shape (134217728, 134742528) and data type float64
Awwww, why not?