Closed plinnie closed 2 years ago
Thanks for the report. Definitely an issue there.
This is fixed internally and will be in the next release in the next few days.
FYI. Fix is in new version pushed today. Please let us know if this fixes your issue.
Yes, I can load and process both models now. Thanks!
I have a non-quantized version, and a quantized version of a model, and both give me issues when attempting to load it into the GAP SDK nntool. I cloned the latest master this weekend. The model is loosely based on MobilenetV3. I'm using Python 3.9 and Tensorflow 2.7
The non-quanitzed model
Written as follows:
And then attempted to process as follows: (things go wrong when using the fusions command)
For the pre-quantized model
converted as follows (same keras model):
and processed as follows (things go wrong when attempting to load the model):
I'm new with using nntool and the GAP SDK,so manybe I missed some important step or limitations. Some guidence would be welcome.
Both models can be downloaded from here: https://surfdrive.surf.nl/files/index.php/s/9m2EjoerKtJHnBk