Description

This was built in an effort to better understand how weights are changed in a Neural Network when a model is quantized to fit on a smaller chip. Making models small!

Usage

1. Compile the script:
   • For C++:

     g++ quantized_mapping.cpp -o quantized_mapping

   • For C:

     gcc quantized_mapping.c -o quantized_mapping

2. Run the script with four arguments:

   ./quantized_mapping <og_start> <og_end> <new_start> <new_end>

   Example:

   ./quantized_mapping 10 20 0 100

Example Output

For the input 10 20 0 100, the script outputs:

Scaled Value: -1

Error Cases

• Incorrect argument count:

  Usage: ./quantized_mapping <og_start> <og_end> <new_start> <new_end>
  

• Division by zero:

  Error: Division by zero.
  

This script is a basic example of quantized value scaling, which is commonly used in tasks like mapping floating-point values to integer ranges in machine learning.