NVIDIA-AI-IOT / Lidar_AI_Solution

A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution, YUV2RGB, cuOSD,).
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if the input size of the spconv onnx should be dynamic ? #220

Open pegasus-zhang opened 7 months ago

pegasus-zhang commented 7 months ago

hi, in this project the onnx file generated from spconv has a static input size of 51, while the generated trt engine from the onnx file shoud have an input size of voxelNumber5 which is dynamic , is there any conversion for this in the "Inference function for sparse convolution" in libspconv ?

hopef commented 7 months ago

By default, libspconv is running on dynamic input size. The input size (5, 1) does not affect the pipeline. It's just a placeholder!