Diagram
The tf-trt warning: could not find tensorrt occurs when “TensorRT is not installed on your machine.” TensorRT is a high-performance deep learning inference optimizer and runtime library developed by NVIDIA for production deployment.
How to fix it?
To fix the tf-trt warning: could not find tensorrt, install tensorrt using this command: pip install tensorrt
Possible causes and solutions
TensorRT is not in the PATH
If TensorRT is installed, but the system can’t find it, it might be because it’s not in your PATH. You need to add it to your PATH environment variable. This process can differ depending on your operating system.
Incompatible versions
TensorFlow, CUDA, cuDNN, and TensorRT all need to be compatible. Make sure that you’re using versions of these libraries that work together. You can find this information in the compatibility matrix on the NVIDIA website.
TensorRT is not linked correctly with TensorFlow
If you built TensorFlow from the source, you must ensure it was adequately linked with TensorRT during the build process.
That’s it.
Krunal Lathiya is a seasoned Computer Science expert with over eight years in the tech industry. He boasts deep knowledge in Data Science and Machine Learning. Versed in Python, JavaScript, PHP, R, and Golang. Skilled in frameworks like Angular and React and platforms such as Node.js. His expertise spans both front-end and back-end development. His proficiency in the Python language stands as a testament to his versatility and commitment to the craft.
