NGC | Catalog
CatalogResourcesTorch-TensorRT Notebooks

Torch-TensorRT Notebooks

Logo for Torch-TensorRT Notebooks
Collection of Jupyter Notebooks illustrating how Torch-TensorRT can optimize inference with several well-known deep learning models
Latest Version
January 5, 2024
Compressed Size
1.33 MB

Torch-TensorRT is an integration of the PyTorch deep learning framework and the TensorRT inference acceleration framework. With this toolkit, users can generate an optimized TensorRT engine from a trained PyTorch model with a single line of code. The tutorial notebooks included here illustrate the inference optimization procedure (and benchmark the results) for the following networks and applications:

  • Hugging Face BERT: Masked Language Modeling
  • EfficientNet: Image Classification
  • Resnet50: Image Classification
  • SSD: Object Detection