ScalingAlgorithm

class torch.nn.functional.ScalingAlgorithm(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)

Algorithm used to compute and encode block scales for quantize_tensor().

MXFP_E8M0_RU = 0

MXFP E8M0 round-up scaling, described in Algorithm 1.

The block’s maximum absolute input value, divided by the largest representable quantized value, is rounded up to E8M0. If any input in the block is NaN or +/-Inf, the scale is E8M0 NaN (byte 0xff). An all-zero block instead receives the smallest E8M0 scale, $2^{-127}$ (byte 0x00), because E8M0 has no zero encoding.

as_integer_ratio()

Return integer ratio.

Return a pair of integers, whose ratio is exactly equal to the original int and with a positive denominator.

>>> (10).as_integer_ratio()
(10, 1)
>>> (-10).as_integer_ratio()
(-10, 1)
>>> (0).as_integer_ratio()
(0, 1)

bit_count()

Number of ones in the binary representation of the absolute value of self.

Also known as the population count.

>>> bin(13)
'0b1101'
>>> (13).bit_count()
3

bit_length()

Number of bits necessary to represent self in binary.

>>> bin(37)
'0b100101'
>>> (37).bit_length()
6

conjugate()

Returns self, the complex conjugate of any int.

denominator

the denominator of a rational number in lowest terms

imag

the imaginary part of a complex number

numerator

the numerator of a rational number in lowest terms

real

the real part of a complex number