mesut

I got same error. I am using python 3.10, torch 2.0 . What is the problem about data?

I used this scripts to train model (medium version). It did not work. I am gonna check about feature size.

Hi Richard I trained ds_cnn model with this conf (dct_coefficient_count=10); `python train.py --model_architecture ds_cnn --model_size_info 5 172 10 4 2 1 172 3 3 2 2 172 3 3 1...

Nope. I trained ds_cnn in ML-ZOO with same label. same output size. I generated .tflite file. And I converted it with this; `https://github.com/thodoxuan99/KWS_MCU/blob/main/kws_cortex_m/tflite_to_tflu.py` I moved weight to this place; `ARM-software/ML-examples/tree/main/cmsis-pack-examples/kws/src/kws_micronet_m.tflite.cpp`...

https://drive.google.com/file/d/1xwsQFV7VS4ngEQPy-aGrvO-ZppLsdXKi/view?usp=sharing I trained ds_cnn_medium with default parameters.

Hi Richard I commented [this line](https://github.com/ARM-software/ML-zoo/blob/fec0bb5bcd486eb2839cdb7d437d466067402a6a/models/keyword_spotting/ds_cnn_medium/model_package_tf/model_core_utils/models.py#L325) to deactivate softmax And I gave output with "x" variable. My new code looks like; ``` # Squeeze before passing to output fully connected...

It matches, but it does not give any output. Even wrong keyword. It did not print any text to screen

Are not there any open-source code for training script of micronet model which you use?

> Okay, I converted your model with > > `xxd -i ds_cnn_quantized.tflite > model_data.cc` and copied the contents of the array into `ARM-software/ML-examples/tree/main/cmsis-pack-examples/kws/src/kws_micronet_m.tflite.cpp`, overwriting the existing model data that is...

Still blank output... can you show me these modifications also; so i can try same model which you tried. * I manually enlisted this operator by editing the local cmsis...