trt-onnx-quickstart
OfficialConvert ONNX models to TensorRT for efficient inference.
AuthorNVIDIA
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables developers to convert ONNX models to TensorRT, ensuring efficient and accurate inference on NVIDIA GPUs.
Core Features & Use Cases
- ONNX to TensorRT Conversion: Build and verify TensorRT engines from ONNX models for high-performance inference.
- Numerical Parity Check: Ensures that TensorRT engines match the outputs of ONNX Runtime within specified tolerances.
- Dynamic Shapes and Multi-Input Support: Handles multi-input models and dynamic shapes, including batch size and sequence length variations.
Quick Start
Run the trt-onnx-quickstart skill with the Hugging Face model ID or ONNX file to generate a TensorRT engine and verify its numerical parity against ONNX Runtime.
Dependency Matrix
Required Modules
tensorrtpythonpolygraphyonnxruntimeonnxsimonnx_graphsurgeonoptimum-onnxsentence-transformers
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: trt-onnx-quickstart Download link: https://github.com/NVIDIA/TensorRT/archive/main.zip#trt-onnx-quickstart Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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