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Frequently Asked Questions

What is the tensorrt container?

The TensorRT container is released monthly to provide you with the latest NVIDIA deep learning software libraries and GitHub code contributions that have been sent upstream; which are all tested, tuned, and optimized. Container Release Notes :: NVIDIA Deep Learning TensorRT Documentation

How do I convert a PyTorch model to tensorrt?

One approach to converting a PyTorch model to TensorRT is to export a PyTorch model to ONNX and then convert into a TensorRT engine. For more details, see Using PyTorch with TensorRT through ONNX . The notebook will walk you through this path, starting from the below export steps:

What is tensortensorrt?

TensorRT is an SDK for optimizing trained deep learning models to enable high-performance inference. TensorRT contains a deep learning inference optimizer for trained deep learning models, and a runtime for execution.

How do I install tensorrt on Python?

Install the TensorRT Python wheel. python3 -m pip install --upgrade nvidia-tensorrt The above pip command will pull in all the required CUDA libraries and cuDNN in Python wheel format because they are dependencies of the TensorRT Python wheel. Also, it will upgrade nvidia-tensorrt to the latest version if you had a previous version installed.


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