mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-07-14 18:12:05 +00:00
a0f3e30de6
* initial setup and rename "how to" to "setup" * move API to main nav * move api to main nav * add get starated, rework nav order * rename to install move mds out of install section * update api nav and home page * add install docs and python qs updates * python get started work * remove c and obj c for now * move java, python, and obj-c docs under api folder * move java api html to iframe (ugh) * remove api docs w/o details, move api text getstar * remove api docs wo detail updates get started * remvoe iframes * move eco system to main nav * fix api buttons * added more examples moved intro to ORT * fix links * fix get started titles * fix get started titles * fix more links * fix more links * more link fixes * fix nav remove inferencing and training subnav * fix top nav remove inference and training nav * fix title * fix tutorials nav hierarchy * fix python api button * add tenorflow keras example * fix quickstart toc * add imports fix spacing * fix links * update nav and python get started page * move ort training example, add coming soon for iot * update C# get started * fix spacing on quantization * Add some js get started content * fix formatting * fix typo * removed onnx-pytorch and onnx-tf * updated pip install torch and added links iot page * added pytorch tutorial heirarchy * updated web to docs soon added release blog link * add web link
35 lines
No EOL
1.9 KiB
Markdown
35 lines
No EOL
1.9 KiB
Markdown
---
|
|
title: Accelerate TensorFlow
|
|
nav_order: 3
|
|
parent: Tutorials
|
|
---
|
|
# Accelerate TensorFlow model inferencing
|
|
{: .no_toc }
|
|
|
|
ONNX Runtime can accelerate inferencing times for TensorFlow, TFLite, and Keras models.
|
|
|
|
## Get Started
|
|
{: .no_toc }
|
|
* [End to end: Run TensorFlow models in ONNX Runtime](../tutorials/tf-get-started.md)
|
|
|
|
## Export model to ONNX
|
|
{: .no_toc }
|
|
### TensorFlow/Keras
|
|
{: .no_toc }
|
|
These examples use the [TensorFlow-ONNX converter](https://github.com/onnx/tensorflow-onnx), which supports TensorFlow 1, 2, Keras, and TFLite model formats.
|
|
|
|
* [TensorFlow: Object detection (efficentdet)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/efficientdet.ipynb)
|
|
* [TensorFlow: Object detection (SSD Mobilenet)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/ConvertingSSDMobilenetToONNX.ipynb)
|
|
* [TensorFlow: Image classification (efficientnet-edge)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/efficientnet-edge.ipynb)
|
|
* [TensorFlow: Image classification (efficientnet-lite)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/efficientnet-lite.ipynb)
|
|
* [TensorFlow: Natural Language Processing (BERT)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/BertTutorial.ipynb)
|
|
* [Keras: Image classification (Resnet 50)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/keras-resnet50.ipynb)
|
|
|
|
### TFLite
|
|
{: .no_toc }
|
|
* [TFLite: Image classifciation (mobiledet)](https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/mobiledet-tflite.ipynb)
|
|
|
|
## Accelerate TensorFlow model inferencing
|
|
{: .no_toc }
|
|
* [Accelerate BERT model on CPU](https://github.com/microsoft/onnxruntime/blob/master/onnxruntime/python/tools/transformers/notebooks/PyTorch_Bert-Squad_OnnxRuntime_CPU.ipynb)
|
|
* [Accelerate BERT model on GPU](https://github.com/microsoft/onnxruntime/blob/master/onnxruntime/python/tools/transformers/notebooks/PyTorch_Bert-Squad_OnnxRuntime_GPU.ipynb) |