on building TensorRT:get the error recipe for target 'nvinfer_plugin'failed.
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- Dominant language
- C++
- Stars
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Description
Description
make nvinfer_plugin -j$(nproc)
Environment
**TensorRT Version7.1.3:
NVIDIA Driver Version:
**CUDA Version10.2:
**CUDNN Version8:
Operating System:
Python Version (if applicable):3.6
Relevant Files
Model link:
我的错误日志
令我觉得奇怪的是：执行``$HOME/install/bin/cmake .. -DGPU_ARCHS="53" -DTRT_LIB_DIR=/usr/lib/aarch64-linux-gnu/ -DCMAKE_C_COMPILER=/usr/bin/gcc -DTRT_BIN_DIR=pwd/out` -Wno-dev`之后，命令行显示可以找到nvinfer_plugin.so文件
Commands or scripts:
**我也在我的环境下找到了libnvinfer_plugin.so.7.1.3文件，也添加了相应的环境变量。
**:
### Tasks
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the provided CMake and make commands for the nvinfer_plugin target, then inspect the linker failure reported in plugin/CMakeFiles/nvinfer_plugin.dir/build.make. Compare the target architecture with /usr/local/cuda-10.2/lib64/libcudnn.so and the aarch64 library path. Done means the cause of the wrong-format error is confirmed and a reproducible build configuration or fix is documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cmake, cpp
- Domain
- build-system
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100