Edge AI

INTERNAL ERROR: 'FLOAT16' --> Is it that STM doesnot support tf.float16 formats ?

I tried to compress a keras model. It is a versy simple Neural network model with just fully connected (dense) layers. I converted it to tflite and compressed the weight to tf.float16 which was originally tf.float32. When I upload the model, it gave ...

keras model on cubemx ai is giving accurancy = n.a

hello,i have a keras model generated on google colab, i have test on google colab and it works fine, i wanted to export it on cubemx and when i start teh validation on desktop process i'am having an accurancy that is n.a here is the output of my cube...

we are try to run ROS in STM32 cortex M. Is that possible to run ROS in cortex M? Can we run CMSIS NN and CMSIS FreeRTOS at the same time? Could we install Linux in SMT32 Cortex M? Thanks

X-CUBE-AI, tflite model: INTERNAL ERROR: Transpose of batch not supported

Using X-CUBE-AI 6.0.0, trying to import a tflite model of a RNN network, with both dense and LSTM layers, this error is returned. I can't find any information on that. Is there something that can be done?Thank you very much

Is Tensorflow 2.7 currently supported?

As the title states is the Tensorflow 2.7 support by X-Cube-AI?If not when is it going to and is there a workaround for implementing the 2.7's functionalities on previous versions?

I get errors of the mode with lambda layers using cubemx.AI

What's the best practice of porting a pretrained pytorch model to STM32 MCU?

Dear support-team,I've encountered quite some problems when loading a pre-trained Pytorch mobilenetv2 model in Xcube-AI. I have tried the following with the app stm32ai located in the installation repository of X-Cube-AI/7.0.0. torch fp32 --> onnx_fp...