Observability and Control for TensorRT Engine Builds
Make Long-Running NVIDIA TensorRT Engine Builds Observable and Cancelable in Python or C++ | NVIDIA Technical Blog

Make Long-Running NVIDIA TensorRT Engine Builds Observable and Cancelable in Python or C++ | NVIDIA Technical Blog

7/22/2026

What this post added

Introduces a detailed guide on implementing and utilizing the `IProgressMonitor` API in TensorRT for both Python and C++. This includes subclassing `IProgressMonitor` to override `phase_start`, `step_complete`, and `phase_finish` methods, managing nested phase states, ensuring thread safety with locks, and rendering progress bars using virtual-terminal escapes. It also demonstrates how to integrate cancellation logic into `step_complete` and provides code examples for Python and C++.

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