This ONNX model is compiled with a standard MCU and runs on it (both with and without quantization). However, I encounter the following error when using the Neural-ART Accelerator NPU (both with and without quantization):INTERNAL ERROR: Scale, zero-p...
Hello,I have a very similair problem as my last forum post, so here I go again. I tried the fix that worked last time (quantizing using ST AI Developer Cloud), but this didn't fix it this time. The problem:I have a large .onnx model which, untouched,...
Hello everyone! First post here. I'm a grad student in Computer Science and Engineering and I'm looking to learn Machine Learning on MCUs. My professor suggested I use the STM32 Nucleo development boards for this. I was wondering if anyone had a roug...
I am using X-CUBE-AI 9.0.0 in my project and need to run a quantized mobilenet_v2.0.35 model (.tflite). The model takes 4*56*56*3 (Batch * width * height * channel) input, but I am unable to find a way to run it with that input shape. The generated c...
Hi everyone,In X-CUBE-AI, it provides two different runtime, TFLite Micro and STM32Cube.AI. When I checked the used kernel by TFLite Micro, it seems that it doesn't use the optimized kernel from CMSIS-NN. For the case of STM32Cube.AI, we can't find h...
We are using the Nano Edge studio to run the STWIN DTMF Classifier on the STEVAL-STWINCSV1 on a Linux system. We followed the instructions from: https://wiki.st.com/stm32mcu/wiki/AI Entitled: How to create a dual-tone multi-frequency classifier us...
As stated, I have problem analyzing the ONNX model ported from a pytorch model. The code of the model is simple as follows: class LSTM(nn.Module): def __init__(self, input_size, hidden_size, num_layers, num_output=1): super(LSTM, self)._...
Hi ,I go into the hardfault handler when trying to run the ai_network_run which I call inside my run_inference function which is inside my ADC ISR , then it calls ai_platform_network_process , that is where we get thrown into the HardFault Handler . ...
I built a simple FCNN model based on onnx(regression, 4 input and 4 output), including three hidden layers with 64, 32, 16 nodes, and successfully "validate on target" in STM32 through X-CUBE-AI.Now I want to send(receive) data directly to(from) the...
When I used V4.3.1 before, there was a "5 Emulator" step, but it doesn't exist in V4.6.0.Is Emulator no longer available?