Tensorflow Lite, Edge Computing, Model Quantization, Energy Disaggregation.
Quantization (w8_a16): Description: In this mode, the weights are quantized to int8, while the activations are quantized to 16-bit integers (int16). This mode also allows fallback to float for unsupported operations. Advantages: It offers a middle ground between the w8_a8_fallback and w8_a8 modes,