Hello ST team,
I am currently trying to deploy an rPPG (remote photoplethysmography) model to the STM32N6 using the ST Edge AI Developer Cloud.
My model’s input tensor has the following 6-dimensional shape:
I uploaded a fully quantized ONNX model (int8_qdq.onnx) through the web UI and ran Analyze using a custom profile.
However, the analysis fails with the following error:
ST Edge AI Core v2.2.0-20266 2adc00962
WARNING: Unsupported keys in the current profile n6-allmems-O3 are ignored: memory_desc
> memory_desc is not a valid key anymore, use machine_desc instead
INTERNAL ERROR: Unexpected combination of configuration and input shape
To help reproduce the issue, I have attached my ONNX model file along with this post.
My questions are:
1.Does the current ST Edge AI Core / Developer Cloud support 6-D input tensors?
(e.g., models with multiple temporal + spatial + channel dimensions)
2.If not directly supported, what is the recommended way to reshape or flatten such inputs so that they can be processed by the toolchain?3.Are there any references or documentation describing the maximum supported tensor rank for model inputs on STM32N6?
Thank you very much for your help.
Looking forward to your guidance.
BCPH357
