Open rayeh5 opened 6 years ago
- Train your desired model
- Freez it by the provided python script ang generate a pb file.
- Use TensorFlow Lite Converter to convert .pb file to .tflite file
- Use it in TF-lite ! check the documentation
Thanks for the reply. I think that I don'e explain my question well.
The following are the error messages: From the error messages, it seems that:
Error messages:
N$ ./my_toco_float.sh 2018-11-30 14:23:35.412174: I tensorflow/contrib/lite/toco/import_tensorflow.cc:1233] Converting unsupported operation: DecodeWav 2018-11-30 14:23:35.412606: I tensorflow/contrib/lite/toco/import_tensorflow.cc:1233] Converting unsupported operation: AudioSpectrogram 2018-11-30 14:23:35.412876: I tensorflow/contrib/lite/toco/import_tensorflow.cc:1233] Converting unsupported operation: Mfcc 2018-11-30 14:23:35.414064: F tensorflow/contrib/lite/toco/tooling_util.cc:711] Check failed: model.HasArray(output_array) Output array not found: final_fc ./my_toco_float.sh: line 10: 3577 Aborted (core dumped) toco --input_file=./CNN_S.pb --input_format=TENSORFLOW_GRAPHDEF --output_format=TFLITE --output_file=./CNN_S.tflite --inference_type=FLOAT --input_shape=1,49,10,1 --input_array=x --input_data_type=FLOAT --output_arrays=final_fc
Thanks for your time.
@rayeh5 Obviously it is an issue with toco which currently does not support all operations. The trained models here include some modules to extract PCM data from wave files, finding spectrum and computing MFCC. You can find all supported operation at https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/g3doc/tf_ops_compatibility.md . As tensorflow has a good back-end for Audio recognition, I think you can open in their repo and asking for a support regarding these operations.
What are the input array and output arrays here? I am using tensor board and the .pbtxt format to check the input and output names for the 'DNN', the output is correct, but it is showing that the input is fingerprint_input and dropout_prob, and when using that it gives me the error of :
ValueError: Invalid tensors 'fingerprint_input,dropout_prob' were found,
Any hints will be really appreciated?
I can't find useful information to convert these models to TF-Lite and run it at Linux environment. Could someone give some hints? Thanks!