I am not able to install TensorRT in a miniconda env. It gets installed successfully as indicated in the “Steps To Reproduce”, but when I import it gives an error that “ModuleNotFoundError: No module named ‘tensorrt_bindings’”
python
Python 3.12.8 | packaged by Anaconda, Inc. | (main, Dec 11 2024, 16:31:09) [GCC 11.2.0] on linux
Type “help”, “copyright”, “credits” or “license” for more information.
import torch
import onnx
import tensorrt
Traceback (most recent call last):
File “”, line 1, in
File “/home/puneet/.conda/envs/asr/lib/python3.12/site-packages/tensorrt/init.py”, line 18, in
from tensorrt_bindings import *
ModuleNotFoundError: No module named ‘tensorrt_bindings’
The error “ModuleNotFoundError: No module named ‘tensorrt_bindings’” when trying to import TensorRT in a Miniconda environment may be caused by several factors. Here are some possible causes and solutions:
Possible Causes:
Incorrect Installation: TensorRT may not have been installed correctly, leading to missing modules.
Missing Dependencies: Essential dependencies required for TensorRT might not be installed or properly configured in your Miniconda environment.
Path Configuration Issues: The path to the TensorRT installation might not be added to the system or Python path, preventing Python from locating the module.
Version Compatibility: The installed version of TensorRT may not be compatible with the version of Python or other packages in your Miniconda environment.
Possible Solutions:
Reinstall TensorRT: Try reinstalling TensorRT in the Miniconda environment. Use the command:
conda install -c nvidia tensorrt
Ensure that you use a compatible version as specified in the documentation.
Check Dependencies: Confirm that all required dependencies for TensorRT are installed in your environment. Refer to the TensorRT documentation for a full list of dependencies.
Update PATH and Python Path: Ensure that the path to the TensorRT installation is included in your system’s PATH and the Python path. You can append the TensorRT installation path to the PATH variable using:
export PATH=$PATH:/path/to/tensorrt
Also, ensure that the TensorRT Python bindings are accessible in your Python environment.
Verify Version Compatibility: Make sure the version of TensorRT you are trying to install is compatible with your Python version (3.12 in this case) and other libraries. Check the compatibility matrix in the official TensorRT documentation.
By following these troubleshooting steps and verifying your setup, you should be able to resolve the ‘ModuleNotFoundError’ and successfully import TensorRT in your Miniconda environment.