I'm a graduate student at IUPUI. I am working with pruning of Squeezenext architecture for my thesis. So I want to deploy my model on a Cortex-M. I am using Pytorch framework. So could anyone help me in using CMSIS with Pytorch?
Thanks in Advance!!!
Right now we're still working on support for PyTorch, especially for M class. I would recommend looking at Tensorflow Lite Micro for the time being.
Hi Karl Fezer
We are also highly relying on PyTorch in our development work. Can you share the latest state of the support for PyTorch.
Specifically, we are planning to work on the new NPU architecture on the IMX8-Plus board.
Is there a way to efficiently used PyTorch models on this platform already, ideally via the C++ frontend?
Wow, sorry I missed this for so long. I would say we are looking into it, but consistently recommend testing in PyTorch and then rebuilding in Tensorflow if TFLu is the end goal.
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