Open Leo5050xvjf opened 2 months ago
Thank you for reaching out. ORT On-device training uses CPUs, so it should work with MIPS32. We have not tested it though and do not have a MIPS32 specific tutorial. However, if you want to try it out, we are happy to support and answer any questions along the way. You can follow along this tutorial, or anything else that seems more relevant for your use case in the tutorials directory and let us know how it goes. https://github.com/microsoft/onnxruntime-training-examples/tree/master/on_device_training/desktop/csharp/image_classification
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Describe the issue
Hello, Since I'm new to this area, my questions might be a bit unclear. I'm currently looking to perform on-device training on my edge device, and I would like to know if onnxruntime training can run on a mips32 Linux edge device using a CPU. If it's possible, are there any tutorials or documentation I can refer to? Thank you!
To reproduce
OS: Linux architecture: mips32
Urgency
No response
ONNX Runtime Installation
Other / Unknown
ONNX Runtime Version or Commit ID
unknown
PyTorch Version
unknown
Execution Provider
Default CPU
Execution Provider Library Version
No response