Hello, I am trying to compile s ampleOnnxMNIST as in Nvidia guide, but I get this error
*LNK2001 unresolved external symbol “class sample::Logger sample::gLogger” (?gLogger@sample@@3VLogger@1@A) *
What might be the issue?
TensorRT Version: 126.96.36.199 GPU Type: NVIDIA GeForce GTX 1080 Ti Nvidia Driver Version: NVIDIA GeForce GTX 1080 Ti CUDA Version: cuda 11.03 CUDNN Version: cudnn Operating System + Version: windows 10 Python Version (if applicable): 3.6 TensorFlow Version (if applicable): 2.4.0 PyTorch Version (if applicable): Baremetal or Container (if container which image + tag):
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I am currently working on a project which involves applying DNN for control. I already constructed my network and I generated the TRT engine using tensorrt c++ api from the onnx file successfully. The network is made up of 2 inputs and 1 output. All inputs are data from sensors (force, position). The model performs well during the training and testing phase. My question is, how do I point the sensors to the input tensor for real-time inferencing? I will be grateful if you can help. I have been struggling with this for a long time now. All the examples I found only are all about images.