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Tensorflow Backend for ONNX
| Date | Stars |
|---|---|
| 2026-07-24 | 1326 |
| 2026-07-25 | 1326 |
| 2026-07-28 | 1326 |
| 2026-07-30 | 1326 |
| 2026-08-06 | 1326 |
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# TensorFlow Backend for ONNX
### Note this repo is not actively maintained and will be deprecated. If you are interested in becoming the owner, please contact the ONNX Steering Committee (https://github.com/onnx/steering-committee).
[Open Neural Network Exchange (ONNX)](https://onnx.ai) is an open standard format for representing machine learning models. ONNX is supported by a community of partners who have implemented it in many frameworks and tools.
TensorFlow Backend for ONNX makes it possible to use ONNX models as input for [TensorFlow](https://www.tensorflow.org). The ONNX model is first converted to a TensorFlow model and then delegated for execution on TensorFlow to produce the output.
This is one of the two TensorFlow converter projects which serve different purposes in the ONNX community:
- [onnx-tensorflow](https://github.com/onnx/onnx-tensorflow) converts ONNX models to Tensorflow
- [tf2onnx](https://github.com/onnx/tensorflow-onnx) converts Tensorflow models to ONNX
## Converting Models from ONNX to TensorFlow
### Use CLI
[Command Line Interface Documentation](https://github.com/onnx/onnx-tensorflow/blob/master/doc/CLI.md)
From ONNX to TensorFlow: `onnx-tf convert -i /path/to/input.onnx -o /path/to/output`
### Convert Programmatically
[From ONNX to TensorFlow](https://github.com/onnx/onnx-tensorflow/blob/master/example/onnx_to_tf.py)
### Migrating from `onnx-tf` to `tf-onnx`
We have joined force with Microsoft to co-develop ONNX TensorFlow frontend.
For current onnx-tf frontend users, please migrate to use tf-onnx (https://github.com/onnx/tensorflow-onnx) where our code had been merged into.
## ONNX Model Inference with TensorFlow Backend
```
import onnx
from onnx_tf.backend import prepare
onnx_model = onnx.load("input_path") # load onnx model
output = prepare(onnx_model).run(input) # run the loaded model
```
## More Tutorials
[Running an ONNX model using TensorFlow](https://github.com/onnx/tutorials/blob/master/tutorials/OnnxTensorflowImport.ipynb)
## Production Installation
ONNX-TF requires ONNX (Open Neural Network Exchange) as an external dependency, for any issues related to ONNX installation, we refer our users to [ONNX project repository](https://github.com/onnx/onnx) for documentation and help. Notably, please ensure that `protoc` is available if you plan to install ONNX via pip.
The specific ONNX release version that we support in the master branch of ONNX-TF can be found [here](https://github.com/onnx/onnx-tensorflow/blob/master/ONNX_VERSION_NUMBER). This information about ONNX version requirement is automatically encoded in `setup.py`, therefore users needn't worry about ONNX version requirement when installing ONNX-TF.
To install the latest version of ONNX-TF via pip, run `pip install onnx-tf`.
Because users often have their own preferences for which variant of TensorFlow to install (i.e., a GPU version instead of a CPU version), we do not explicitly require tensorflow in the installation script. It is therefore users' responsibility to ensure that the proper variant of TensorFlow is available to ONNX-TF. Moreover, we require TensorFlow version == 2.8.0.
## Development
### Coverage Status
[ONNX-TensorFlow Op Coverage Status](https://github.com/onnx/onnx-tensorflow/blob/master/doc/support_status.md)
### API
[ONNX-TensorFlow API](https://github.com/onnx/onnx-tensorflow/blob/master/doc/API.md)
### Installation
- Install ONNX master branch from source.
- Install TensorFlow >= 2.8.0, tensorflow-probability and tensorflow-addons. (Note TensorFlow 1.x is no longer supported)
- Run `git clone https://github.com/onnx/onnx-tensorflow.git && cd onnx-tensorflow`.
- Run `pip install -e .`.
### Folder Structure
- __onnx_tf__: main source code file.
- __test__: test files.
### Code Standard
- FoExcerpt of 6,747 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:80dc8bd2fc606f78, topic:deep-learning, topic:tensorflow
matched fp:80dc8bd2fc606f78, topic:onnx