Is it possible to customize TensorFloat32?

Good Afternoon,
the nVidia A100 has a huge performance advantage in computing Tensorfloat32(TF32) numbers. The TF32 has just 19 Bits (source: What is the TensorFloat-32 Precision Format? | NVIDIA Blog). Is there an possibility to fully customize the 19Bits of TF32 numbers?

Kind regardes,

Daniel Wulf.

at the link above it is described that the input numbers and the output numbers are FT32’s but internal calculations are made by map the FT32 x FT32 in dot products with less need of bits. So there is no need for me to customize the TF32 Format for me.


It’s not clear to me what you mean by “fully customize” or if you are actually still asking a question here.