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...The trained models can be loaded onto edge devices such as IoT devices/sensors, and used to make fast and accurate predictions completely offline. A tool that adapts models trained by above algorithms to be inferred by fixedpoint arithmetic.
This Python module provides basic facilities for mathematics on fixed-point numbers. The number of fractional binary digits is tunable, allowing near-arbitrary precision arithmetic. Arithmetic & functions such as sqrt, exp, log, sin & cos are available.
For the latest releases please visit https://github.com/rwpenney/spfpm
a simple software implemented FPU. only 32bit precision is supported and the operation result is not accurate as modern FPUs, but it is light and compact. (uses simple 32bit integer operations only, good for machines that has no hardware FPU.)
Magic FixedPoint, it's an library that abstracts the use of fixedpoint math for environments that doesn't have floating point operations or in places that you don't want to use the traditional floating point operations.
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A library for fixedpoint calculation in s15.16, s7.24 and s7.8 format, entirely written in ANSI C for embedded software (with main focus on the Atmel AVR platforms).