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Hello @dusty-nv ! Pls merge this fix. There are problems in Jetson-inference with ONNX models on JetPack 6.2 . |
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I can confirm I ran into this issue on Jetpack 6.2 trying to run posenet and the suggested change fixed it. |
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This change builds on the latest changes for TensorRT 10 - c038530.
It fixes the following:
#ifand#endifforoutputDimssimilar to theinputDims. The issue is that the ONNX shiftDims was not being called due to a missing#endifafter getting theoutputDims.setTensorAddressfor output dimensions. This was causing a segmentation fault so the fix is to not call it similarly to the way it is implemented for input tensors.You can test this with
posenetbecause this is the one of the few models that is using ONNX as its source.