Shypd.aiThe largest open index of AI toolstensorrtx is an open-source tool that implements popular deep learning networks using the TensorRT network definition API. It allows for flexible modification and debugging of network structures, offering advantages over traditional parsers.
Trending
About
TensorRTx is an open-source project designed to implement popular deep learning networks directly with the TensorRT network definition API. Unlike approaches that rely on parsers (like ONNX or UFF), TensorRTx emphasizes building networks from scratch, providing significant advantages. This method offers greater flexibility, allowing users to easily modify, add, delete, or replace layers, and even integrate preprocessing and postprocessing directly into the network. It also enhances debuggability, enabling incremental development and easy inspection of intermediate layer results. Furthermore, this approach is highly educational, fostering a deeper understanding of network structures rather than treating them as black boxes. The project supports various models including YOLO, ResNet, EfficientNet, and many others, with a clear workflow for converting trained models to TensorRT engines for efficient inference.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
