tflite_clustered_int8

keyword_spotting/ds_cnn_large/model_package_tf/model_archive/TFLite/tflite_clustered_int8

Description

This is a clustered (32 clusters, kmeans++ centroid initialization) and retrained (fine-tuned) fully quantized int8 version of the DS-CNN Large model developed by Arm, from the Hello Edge paper.

License

Apache-2.0

Network Information

Network Information	Value
Framework	TensorFlow Lite
Datatype	int8
SHA-1 Hash	2ee38794ed171c75d3313460a1633c5d6a79f530
Size (Bytes)	503816
Provenance	https://arxiv.org/abs/1711.07128
Training	Trained by Arm
Paper	https://arxiv.org/abs/1711.07128

DataSet

Dataset Information	Value
Name	Google Speech Commands test set

Accuracy

Metric	Value
accuracy	93.87%

HW Support

HW Support	Value
Cortex-A	✔️
Cortex-M	✔️
Mali GPU	✔️
Ethos U	✔️

Key

• ✔️ - Will run on this platform.
• ✖️ - Will not run on this platform.

Network Quality

Network Quality	Value
Recreate	✔️
Quality level	Deployable
Vanilla	✔️
Clustered	✔️
Pruned	✖️
Quantization - default	✖️
Quantization - full	✔️

Network Inputs

Input Node Name	Shape	Type	Example Path	Example Type	Example Shape	Example Use Case
input	(1, 490)	int8	models/keyword_spotting/ds_cnn_large/model_package_tf/model_archive/TFLite/tflite_clustered_int8/testing_input/input	int8	[1, 490]	The input is a processed MFCCs

Network Outputs

Output Node Name	Shape	Type	Example Path	Example Type	Example Shape	Example Use Case
Identity	(1, 12)	int8	models/keyword_spotting/ds_cnn_large/model_package_tf/model_archive/TFLite/tflite_clustered_int8/testing_output/Identity	int8	[1, 12]	The probability on 12 keywords