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Python tensorflow compiler error: Could not load dynamic library libnvinfer.so.7; dlerror: libnvinfer.so.7: cannot open shared object file (Fix)
By Guest on 20th December 2022 07:13:34 PM | Syntax: PYTHON | Views: 199


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  1. You may be trying to use a library called libnvinfer.so.7, but the system is unable to find it. This error can occur for a number of reasons. Here are a few things you can try to fix the error:
  2.  
  3. Make sure that the library is installed on your system. The library may not be installed, or it may be installed in a location that is not in your system's library search path.
  4.  
  5. If the library is installed, try adding the directory where the library is installed to your system's library search path. You can do this by adding the following line to your ~/.bashrc file:
  6.  
  7.  
  8. export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/path/to/library
  9.  
  10.  
  11. If the library is installed, but you are still getting the error, it is possible that the library is not compatible with your version of Python. Make sure that you are using the correct version of the library for your version of Python.
  12.  
  13. If the library is installed and is compatible with your version of Python, it is possible that there is an issue with the library itself. In this case, you may need to re-install the library or try a different version of the library.
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  15.  
  16. How do you install the missing library on github codespace (Linux)?
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  18.  
  19. To install a missing library on GitHub Codespaces, you can use the apt-get package manager. Here's an example of how to install the libnvinfer.so.7 library using apt-get:
  20.  
  21. Open a terminal in your Codespace.
  22. Run the following command to update the package index:
  23.  
  24.  
  25. sudo apt-get update
  26.  
  27.  
  28. Run the following command to install the library:
  29.  
  30.  
  31. sudo apt-get install libnvinfer7
  32.  
  33.  
  34. This will install the libnvinfer.so.7 library and any other dependencies it may have.
  35.  
  36. If the library is not available through apt-get, you may need to install it manually. You can do this by downloading the source code for the library and building it from scratch. Alternatively, you can try using a package manager like pip to install the library.
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  38.  
  39. How to check if library libnvinfer.so.7 is installed on linux?
  40.  
  41. To check if the libnvinfer.so.7 library is installed on a Linux system, you can use the ldconfig command. This command displays a list of all the shared libraries that are installed on your system and are available for use.
  42.  
  43. To use ldconfig, open a terminal and run the following command:
  44.  
  45.  
  46. ldconfig -p | grep libnvinfer.so.7
  47.  
  48.  
  49. This will search the list of libraries for libnvinfer.so.7. If the library is installed, it will be listed along with its location. If the library is not installed, you will see no output.
  50.  
  51. Alternatively, you can use the find command to search for the library on your system. For example, you can run the following command to search for the library:
  52.  
  53.  
  54. find / -name "libnvinfer.so.7" 2>/dev/null
  55.  
  56.  
  57. This will search the entire file system for the library. If the library is found, the full path to the library will be displayed. If the library is not found, you will see no output.
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  59.  
  60.  
  61.  
  62. --------------------------------------------------------------
  63.  
  64. Error message:
  65.  
  66. -rwxrwxrwx   1 codespace root 1490 Dec 20 06:32 zero_shot_classification.py*
  67. (venv) @user ➜ /workspaces/mlops_test (GPU ✗) $ ./hugging-face/zero_shot_classification.py
  68. 2022-12-20 18:58:26.920182: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 AVX512F FMA
  69. To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
  70. 2022-12-20 18:58:37.176477: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory
  71. 2022-12-20 18:58:37.176723: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory
  72. 2022-12-20 18:58:37.176755: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
  73. Usage: zero_shot_classification.py [OPTIONS] COMMAND [ARGS]...
  74.  
  75.  A cli for zero-shot classification
  76.  
  77. Options:
  78.  --help  Show this message and exit.
  79.  
  80. Commands:
  81.  classify  Classify text using zero-shot classification
  82.  
  83.  
  84.  
  85. More help: Watch: Installing Latest TensorFlow version with CUDA, cudNN and GPU support - Step by step tutorial
















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