Tensorflow Lite, Edge Computing, Model Quantization, Energy Disaggregation.
providing better precision for activations at the cost of slightly larger model size. Usage Scenario: Useful when activations require higher precision than what int8 can offer, but still aims to reduce model size. Code Snippet: elif self.quant_mode == 'w8_a16':