Tensorflow-Lite Micro Model¶
This package allows for executing a quantized .tflite model file in the Tensorflow-Lite Micro interpreter.
Example Usage¶
Example usage of this package is as follows:
from mltk.core.tflite_micro import TfliteMicro
# Profile the model in the TFLM interpreter
profiling_results = TfliteMicro.profile_model(tflite_path)
print(profiling_results)
See the TfliteMicroModel API examples for more examples.
API Reference¶
This class wrappers the TF-Lite Micro interpreter loaded with a .tflite model |
TF-Lite Micro Model Details |
This class wraps the TF-Lite Micro C++ library |
Result of profiling a specifc model layer |
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TF-Lite Micro Accelerator |