ii graphsurgeon-tf7.1.0-1+cuda10.2amd64 GraphSurgeonforTensorRTpackageii libnvinfer-bin7.1.0-1+cuda10.2amd64 TensorRT binaries ii libnvinfer-dev7.1.0-1+cuda10.2amd64 TensorRT development libraries and headers ii libnvinfer-doc7.1.0-1+cuda10.2all TensorRT documentation ii libnvinfer-plugin-dev7.1....
[xxx@localhostbin]$./sample_mnist ./sample_mnist:errorwhileloadingsharedlibraries:libnvinfer.so.7:cannotopensharedobjectfile:Nosuchfileordirectory 1. 2. 参考资料 1 TensorRT Installation Guide https://docs.nvidia.com/deeplearning/sdk/tensorrt-install-guide/index.html 2 ...
More specifically, the target Jetson system must have TensorRT libraries installed. Demo #1 and Demo #2: works for TensorRT 3.x+, Demo #3: requires TensoRT 5.x+, Demo #4 and Demo #5: requires TensorRT 6.x+. Demo #6 part 1: INT8 requires TensorRT 6.x+ and only works on GPUs ...
Getting started with TensorRT 10.0 is easier, thanks to updated Debian and RPM metapackages. For example,>apt-get install tensorrtorpip install tensorrtwill install all relevant TensorRT libraries for C++ or Python. In addition, Debug Tensors is a newly added API to mark tensors as debug ...
message(STATUS " libraries: ${PROTOBUF_LIBRARIES}") message(STATUS " include path: ${PROTOBUF_INCLUDE_DIR}") else() message(WARNING "Protobuf not found, onnx model convert tool won't be built") endif() set(TENSORRT_ROOT /home/prototype/Downloads/TensorRT-5.0.2.6) ...
ii libnvinfer-plugin-dev 8.2.4-1+cuda11.4 amd64 TensorRT plugin libraries ... ... 关于那两个巨坑 第1 个坑说白了就是要在安装前,一定要先验证一下有没有装好 CUDA,可以用下面的命令查询一下: dpkg -l | grep cuda# 会像上面一样,列出所有 CUDA 相关的包 ...
pip install 对应python版本的.whl文件 然后运行python解释器,看看能否import tensorrt。 3 篇外—Ubuntu下的环境变量设置 上面这些步骤包含很多环境变量的设置,但它们都是通过在shell中采用export命令进行设置,这样当我们重新打开一个shell后,这些设置就失效了。如果我们需要将一些变量固定下来,每次打开一个新shell,这些环...
ii libnvinfer5 5.0.2-1+cuda10.0 amd64 TensorRT runtime libraries ii python-libnvinfer 5.0.2-1+cuda10.0 amd64 Python bindings for TensorRT ii python-libnvinfer-dev 5.0.2-1+cuda10.0 amd64 Python development package for TensorRT ii python3-libnvinfer 5.0.2-1+cuda10.0 amd64 Python 3 bindings...
pip install nvidia-pyindex pip install nvidia-tensorrt==8.4.3.1 pip install torch-tensorrt==1.2.0 -f https://github.com/pytorch/tensorrt/releases Installing the TensorRT pip package will allow Torch-TensorRT to automatically load the TensorRT libraries without any modification to enviornment variables...
NCCL libraries found in /usr/lib/x86_64-linux-gnu/libnccl.so This looks like a system path. Assuming NCCL header path is /usr/include Please specify a list of comma-separated Cuda compute capabilities you want to build with. You can find the compute capability of your device at: https:...