onnx model cuda compatible
The export was generated with CUDA 12.8, PyTorch 2.7.1+cu128, and LEAPP 0.5.2.
- Any more docs on the process to generate it, especially LEAPP, which we could reference?
- Any compatibility facts to point out between the CUDA version used for expert and the CUDA runtime version?
exports/g1-static-apple-b1-480x640/onnx/leapp-0.5.2/graph.png filter=lfs diff=lfs merge=lfs -text
nitpick: lfs for all png files vs this specific path?
What's the use of exports/g1-static-apple-b1-480x640/onnx/leapp-0.5.2/graph.png file?
What's the use of exports/g1-static-apple-b1-480x640/onnx/leapp-0.5.2/graph.png file?
I believe this is part of the exported bundle from LEAPP. It is the results from the compute graph trace.
exports/g1-static-apple-b1-480x640/onnx/leapp-0.5.2/graph.png filter=lfs diff=lfs merge=lfs -text
nitpick: lfs for all png files vs this specific path?
I will add the rule for all png files from a leapp export.
The export was generated with CUDA 12.8, PyTorch 2.7.1+cu128, and LEAPP 0.5.2.
- Any more docs on the process to generate it, especially LEAPP, which we could reference?
- Any compatibility facts to point out between the CUDA version used for expert and the CUDA runtime version?
I will add a README to indicate how the model was exported. In terms of the documentation on CUDA version, I think this is just for debug trace purposes that is added by LEAPP, but I don't think there is a compatibility dependency. As long as the system that is used to trace the compute graph has a CUDA version that supports the ONNX operators exported it should be able to finish the export. If it didn't I believe the export should at least fail.
refs/pr/2 ref