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16 bit floating point numpy

Magnificent Millipede answered on June 30, 2020 Popularity 1/10 Helpfulness 1/10

answer 16 bit floating point numpy

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16 bit floating point numpy

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#define half_ctype_add(a, b, outp) *(outp) = \
        npy_float_to_half(npy_half_to_float(a) + npy_half_to_float(b))
#define half_ctype_subtract(a, b, outp) *(outp) = \
        npy_float_to_half(npy_half_to_float(a) - npy_half_to_float(b))
#define half_ctype_multiply(a, b, outp) *(outp) = \
        npy_float_to_half(npy_half_to_float(a) * npy_half_to_float(b))
#define half_ctype_divide(a, b, outp) *(outp) = \
        npy_float_to_half(npy_half_to_float(a) / npy_half_to_float(b))

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Tags: 16-bit floating-point numpy python

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Contributed on Mar 13 2022

Magnificent Millipede

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16 bit floating point numpy

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# to create an x-bit point with numpy, use np.intx
# to create an unsigned x-bit point with numpy, use np.uintx
# examples:
import numpy as np

a = np.int16(10000) # 10000 stored as a 16-bit number (can store numbers from -32768 to 32767)
b = np.uint(10000) # 10000 stored as an unsigned 16-bit number (can store numbers from 0 to 65535)

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Contributed on Jun 30 2020

ryaba_ryaba_

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16 bit floating point numpy

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