
DOCS . NVIDIA . COM {
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Title:
Quick Start Guide — NVIDIA TensorRT Documentation
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32 years and 2 months (reg. 1993-04-20).
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Keywords {🔍}
tensorrt, onnx, model, api, engine, pytorch, runtime, models, conversion, python, convert, inference, deployment, trtexec, nvidia, run, refer, deploy, section, steps, network, export, learning, installation, precision, resnet, guide, file, batch, data, deep, execution, options, container, workflow, option, engines, documentation, support, jupyter, notebook, generate, auto, quick, start, framework, follow, cloud, converting, torchtensorrt,
Topics {✒️}
quick start tutorial command-line tool included command-line flags command-line parameters framework-agnostic model format open-source inference-serving software onnx interchange format resources high-level runtime api installation guide pre-trained fcn-resnet-101 model support matrix quick summary broad overview start documentation guide python runtime api deploy ngc-hosted containers python api works enable high-performance inference pre-trained resnet-50 model tensorrt builder api gui-based tool tensorrt runtime api onnx --saveengine=fcn-resnet101 network definition api python data loaders provide custom plug-ins deep learning model installing tensorrt installing tensorrt ai/onnx/models/resnet50 google cloud platform python api trtexec --onnx=fcn-resnet101 operators tensorrt command output torch-tensorrt conversion results run torch-tensorrt models custom layers working cpu-based infrastructure main automatic path tensorrt api pre-trained model advanced users randomized “dummy” data jupyter notebook included dynamic shapes enabled required python packages
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