This directory contains refactored and improved versions of TensorRT samples, demonstrating best practices and modern implementations.
| 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 |
- 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
- Then, open the
main.ipynbfile in the Jupyter Notebook interface that opens in your web browser.
October 2025 Migrate to strongly typed APIs.
August 2025 Removed support for Python versions < 3.10.