This is the Linux app named tf2onnx whose latest release can be downloaded as tf2onnx-1.14.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named tf2onnx with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS:
tf2onnx
DESCRIPTION:
tf2onnx converts TensorFlow (tf-1.x or tf-2.x), keras, tensorflow.js and tflite models to ONNX via command line or python API. Note: tensorflow.js support was just added. While we tested it with many tfjs models from tfhub, it should be considered experimental. TensorFlow has many more ops than ONNX and occasionally mapping a model to ONNX creates issues. tf2onnx will use the ONNX version installed on your system and installs the latest ONNX version if none is found. We support and test ONNX opset-13 to opset-17. opset-6 to opset-12 should work but we don't test them. If you want the graph to be generated with a specific opset, use --opset in the command line, for example --opset 13. When running under tf-2.x tf2onnx will use the tensorflow V2 controlflow.
Features
- You can install tf2onnx on top of tf-1.x or tf-2.x
- If you don't have TensorFlow installed already, install the desired TensorFlow build
- ONNX Runtime (available for Linux, Windows, and Mac)
- tensorflow-onnx requires onnx-1.9 or better
- ONNX requires default values for graph inputs to be constant
- By default we use the opset 13 to generate the graph
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/tf2onnx.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.