TAO Converter Provide three optimization profiles for pointpillar

Hello, I am trying to follow the instructions on how to use the pointpillars model with ROS2 here: GitHub - NVIDIA-AI-IOT/ros2_tao_pointpillars: ROS2 node for 3D object detection using TAO-PointPillars.

As part of the instructions I have to use tao-converter to generate a TensorRT engine from the model.
I am using the deployable pointpillars model from PointPillarNet | NVIDIA NGC, and this is the command I am running to generate the engine:

./tao-converter  -k tlt_encode  \
               -e ~/trt.fp16.engine \
               -p points,1x204800x4,1x204800x4,1x204800x4 \
               -p num_points,1,1,1 \
               -t fp16 \
               ~/pointpillars_deployable.etlt

The output of which is:

Please provide three optimization profiles via -p <input_name>,<min_shape>,<opt_shape>,<max_shape>, where each shape has `x` as delimiter, e.g., NxC, NxCxHxW, NxCxDxHxW, etc.
Aborted (core dumped)

• Hardware (T4/V100/Xavier/Nano/etc): Jetson Nano
TensorRT version: 8.2
TAO Converter version: v3.21.11_trt8.0_aarch64

Thank you

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