Difference between revisions of "TensorRT"

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(TRT ONNXParser FAQ)
(The Usage of Polygraphy)
 
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=== TRT & YoloV4 FAQ ===
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Refer to the page [https://elinux.org/TensorRT/YoloV4 TensorRT/YoloV4]<br>
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=== TRT ONNXParser FAQ ===
 
=== TRT ONNXParser FAQ ===
If you have some question about onnx dynamic shape and onnx Parsing issues, this page might be helpful
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If you have some question about onnx dynamic shape and onnx Parsing issues, this page might be helpful.<br>
 
Refer to the page [https://elinux.org/TensorRT/ONNX TensorRT/ONNX]<br>
 
Refer to the page [https://elinux.org/TensorRT/ONNX TensorRT/ONNX]<br>
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=== The Usage of Polygraphy ===
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Polygraphy is really useful debugging toolkit for TensorRT<br>
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Refer to the page [https://elinux.org/TensorRT/Polygraphy_Usage TensorRT/Polygraphy_Usage] <br>
  
  
 
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Latest revision as of 03:36, 29 February 2024

NVIDIA TensorRT™ is a platform for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high-throughput for deep learning inference applications. TensorRT-based applications perform up to 40x faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and finally deploy to hyperscale data centers, embedded, or automotive product platforms.

Introduction

TensorRT Download
TensorRT Developer Guide

FAQ

Official FAQ

TensorRT Developer Guide#FAQs



Common FAQ

You can find answers here for some common questions about using TRT.
Refer to the page TensorRT/CommonFAQ



TRT Accuracy FAQ

If your FP16 result or Int8 result is not as expected, below page may help you fix the accuracy issues.
Refer to the page TensorRT/AccuracyIssues



TRT Performance FAQ

If the performance of doing inference with TRT is not as expected, below page may help you to optimize the performance.
Refer to the page TensorRT/PerfIssues



TRT Int8 Calibration FAQ

Below page will present some FAQs about TRT Int8 Calibration.
Refer to the page TensorRT/Int8CFAQ



TRT Plugin FAQ

Below page will present some FAQs about TRT Plugin.
Refer to the page TensorRT/PluginFAQ



How to fix some Common Errors

If you met some Errors during using TRT, please find from below page for the answer.
Refer to the page TensorRT/CommonErrorFix



How to debug or analyze

Below page will help you debugging your inferencing in some ways.
Refer to the page TensorRT/How2Debug



TRT & YoloV3 FAQ

Refer to the page TensorRT/YoloV3



TRT & YoloV4 FAQ

Refer to the page TensorRT/YoloV4



TRT ONNXParser FAQ

If you have some question about onnx dynamic shape and onnx Parsing issues, this page might be helpful.
Refer to the page TensorRT/ONNX



The Usage of Polygraphy

Polygraphy is really useful debugging toolkit for TensorRT
Refer to the page TensorRT/Polygraphy_Usage