Converts an ONNX deep learning model to a TensorFlow model.
TensorFlow models can be executed using the TensorFlow Network
Executor.
This node uses the Python libraries "onnx" and "onnx-tf". To use this
node, make sure that the Python integration is set up correctly (see
KNIME Python Integration Installation Guide
) and the libraries "onnx" and "onnx-tf" are installed in the
configured Python environment. You can install the libraries into an
existing environment by running "
pip install onnx onnx-tf
". Alternatively, you can create a new Conda environment with all
dependencies of the KNIME Deep Learning Integration on the "Python
Deep Learning" preference page (see
Setting up Python for KNIME Deep Learning
).
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
To use this node in KNIME, install the extension KNIME Deep Learning - ONNX Integration from the below update site following our NodePit Product and Node Installation Guide:
A zipped version of the software site can be downloaded here.
Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.