original_d2net.onnx (29.1 MB) I have tried to deploy an ONNX model from PyTorch using TensorRT.
On PC everything was quite good.
On XAVIER NX I couldn’t pass the optimization phase.
I had an exception calling buildEngineWithConfig API:
“Assertion Error in mergeDAG: 0 (d2Inputs.size() == n2.inputs.size()) ”
I have also tried to use Onnx2trt tool from TensorRT OSS.
But the same error result.
“ Assertion Error in mergeDAG: 0 (d2Inputs.size() == n2.inputs.size()) ”
(now it used buildCudaEngine API)
What is the root cause for this issue ?
I would be grateful for any help.
Best Regards
Shlomi Peer
Environment 1 - Good
Win10
Visual studio 2019
CUDA Driver Version / Runtime Version - 10.2 / 10.2
CUDNN Version - 8.0.1
TensorRT - 7.2.1.6
GPU 1: NVIDIA Quadro M2000M
Display driver R451.77
Environment 2 - Error
Jetson XAVIER NX
Jetpack 4.4 DP [L4T 32.4.2]
Relevant Files
original_d2net.onnx
Steps To Reproduce
TensorRT OSS tool - run onnx2trt on jetson NX
set full name path to onnx attached as param1,
full name path for exported serialized file as param2
This topic was move to
Autonomous Machines => Jetson & Embedded Systems => Jetson Xavier NX