I am running the latest tlt-converter
-w parameter on a Jetson Xaxier NX and I noticed that at some higher memory settings, like 3-4GB or more it ends with a memory error showing that available memory is 0.
[ERROR] Internal error: plugin node BatchedNMS requires 1029376 bytes of scratch space, but only 0 is available
The issue does not happen with the default value of 1<<30. In the past I was encountering the same problem when building models in TensorRT, when the input parameter to the program was above the max value for a 32bit integer and as a result
setMaxWorkspaceSize was getting 0. Can you please verify if 64-bit integers are correctly handled in the input parameters of