As stated in the post
I’m planning to deploy TensorRT7 as a dll plugin for a portable application on Windows platform, and I found out by looking at the VS calls that TensorRT actually calls a lot of dll files from the CUDA\bin directory, and I think I can only install CUDA to run the TensorRT portable application.
My question is, is it possible to satisfy a portable application with a minimum of dll dependencies? Not by installing CUDA
TensorRT Version: 126.96.36.199
GPU Type: RTX 3080
Nvidia Driver Version: 470.05
CUDA Version: 11.1
CUDNN Version: 8.0
Operating System + Version: Windows 10 21343
Steps To Reproduce
- Exact steps/commands to run your repro
Write a TensorRT application, generate it as a dll file, and call it through an external program
- Full traceback of errors encountered
If CUDA is not installed, it will not run, indicating that nvinfer.dll cannot be found.