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I am not that much into ML, just fiddled with it a bit, is tf32=fp16?


Not quite, but close. “tf32” is 18 bits, but with the same 10 bits of exponent that fp32 has. It’s the range of fp32 with the precision of fp16. It’s a shame to see such unoriginality in new number representations. I’d much rather see Posit hardware acceleration: https://web.stanford.edu/class/ee380/Abstracts/170201-slides...


TF32 is 19 bits, not 18 bits. There's an additional bit for sign.

https://blogs.nvidia.com/blog/2020/05/14/tensorfloat-32-prec...


No, tf32 has the same size exponent field as f32 but the mantissa size of f16, 10 bits.




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