EdgeTPU optimizations (#6808)

* removed transpose op for better edgetpu support

* fix for training case

* enabled experimental new quantizer flag

* precalculate add and mul ops at compile time

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

export.py

@@ -331,7 +331,7 @@ def export_tflite(keras_model, im, file, int8, data, ncalib, prefix=colorstr('Te
             converter.target_spec.supported_types = []
             converter.inference_input_type = tf.uint8  # or tf.int8
             converter.inference_output_type = tf.uint8  # or tf.int8
-            converter.experimental_new_quantizer = False
+            converter.experimental_new_quantizer = True
             f = str(file).replace('.pt', '-int8.tflite')
 
         tflite_model = converter.convert()