Whenever I am trying to convert tf to tflite using different optimization techniques, it is showing the same final size. The model sizes I am getting are as follows :-
.h5 model size : 711 KB
I want to know the reason behind the same final optimized sizes. Even though I am using different optimization techniques, why am I getting the same final .tflite file sizes for different optimizations.
Note : I have also tried optimization using the code provided in examples for pruning, clustering and quantize-aware training on tensorflow website, still seeing the same final size for all optimizations.
Whenever I am trying to convert tf to tflite using different optimization techniques, it is showing the same final size. The model sizes I am getting are as follows :- .h5 model size : 711 KB
I want to know the reason behind the same final optimized sizes. Even though I am using different optimization techniques, why am I getting the same final .tflite file sizes for different optimizations.
Note : I have also tried optimization using the code provided in examples for pruning, clustering and quantize-aware training on tensorflow website, still seeing the same final size for all optimizations.