default optimize to False since it can cause crashes

setup.py

@@ -2,13 +2,13 @@
 setup(
   name = 'tinymlgen',
   packages = ['tinymlgen'],
-  version = '0.2',
+  version = '0.3',
   license='MIT',
   description = 'Generate C code for microcontrollers from Tensorflow models',
   author = 'Simone Salerno',
   author_email = '[email protected]',
   url = 'https://github.com/eloquentarduino/tinymlgen',
-  download_url = 'https://github.com/eloquentarduino/tinymlgen/archive/v_02.tar.gz',
+  download_url = 'https://github.com/eloquentarduino/tinymlgen/archive/v_03.tar.gz',
   keywords = ['ML', 'microcontrollers', 'tensorflow', 'machine learning'],
   install_requires=[
     'tensorflow',

tinymlgen/tinymlgen.py

@@ -3,7 +3,7 @@
 import tensorflow as tf
 
 
-def port(model, optimize=True, variable_name='model_data', pretty_print=False):
+def port(model, optimize=False, variable_name='model_data', pretty_print=False):
     converter = tf.lite.TFLiteConverter.from_keras_model(model)
     if optimize:
         if isinstance(optimize, bool):