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TensorRT Refactored Samples

This directory contains refactored and improved versions of TensorRT samples, demonstrating best practices and modern implementations.

Available Samples

Sample Name Description Format
1_run_onnx_with_tensorrt Demonstrates ONNX model conversion to TensorRT and inference comparison ipynb
2_construct_network_with_layer_apis Constructing a Network with TensorRT Layer APIs ipynb

Launch Instructions

  1. Navigate to the desired sample directory and start the Jupyter server:
    pip install notebook
    cd 1_run_onnx_with_tensorrt # or any other sample
    jupyter notebook
    
  2. Then, open the main.ipynb file in the Jupyter Notebook interface that opens in your web browser.

Changelog

October 2025 Migrate to strongly typed APIs.

August 2025 Removed support for Python versions < 3.10.