Tensorflow Lite, Edge Computing, Model Quantization, Energy Disaggregation.
self.converter.target_spec.supported_ops = [tf.lite.OpsSet.TFLITE_BUILTINS] 2. Weight and Activation Quantization with Fallback (w8_a8_fallback): Description: Quantizes both weights and activations to int8, but allows fallback to floating-point for operations that do not support int8. The inputs