Install_tensorRT_cuda10.2_in_ubuntu18.04.4

# Requirements: 
#    OS: Ubuntu18.04 LTS
#    Python >= 3.8
#    Cuda: 10.2, 
#    CudaNN 8.1.1

# Download TensorRT 7.2.3 for Linux and CUDA 10.2 from https://developer.nvidia.com/nvidia-tensorrt-7x-download for ubuntu 18.04
# or from this link https://developer.nvidia.com/compute/machine-learning/tensorrt/secure/7.2.3/local_repos/nv-tensorrt-repo-ubuntu1804-cuda10.2-trt7.2.3.4-ga-20210226_1-1_amd64.deb

# OPEN terminal
sudo dpkg -i nv-tensorrt-repo-ubuntu1804-cuda10.2-trt7.2.3.4-ga-20210226_1-1_amd64.deb
sudo apt-key add /var/nv-tensorrt-repo-ubuntu1804-cuda10.2-trt7.2.3.4-ga-20210226/7fa2af80.pub
sudo apt-get update
sudo apt-get install tensorrt
sudo apt-get install python3-libnvinfer-dev

sudo apt-get install onnx-graphsurgeon

#check 
dpkg -l | grep nvinfer


# Before Installing tensorrt python packags, make sure that your python version is >= 3.8
# Install pip wheel for run in python (python means python3)
python -m pip install --upgrade setuptools pip
python -m pip install nvidia-pyindex

python -m pip install --upgrade nvidia-tensorrt

# check tensorrt python
python
>>> import tensorrt
>>> print(tensorrt.__version__)
>>> assert tensorrt.Builder(tensorrt.Logger())