code: def set_floatx(value):
      """Sets the default float type.
  
      Note: It is not recommended to set this to float16 for training,
      as this will likely cause numeric stability issues
  
      Args:
          value (str): `'float16'`, `'float32'`, or `'float64'`.
      """
      global _FLOATX
      if value not in {"float16", "float32", "float64"}:
          raise ValueError("Unknown floatx type: " + str(value))
      _FLOATX = str(value)
  
file_path: unisim/unisim/config.py
imports: from .enums import AcceleratorType, BackendType
label_desc: Use image node_id 2 for calling a global function with example usage: set_floatx(value) without return types