ONNX is an open format to represent deep learning models. With ONNX as an intermediate representation, it is easier to move models between state-of-the-art tools and frameworks for training and inference.
The mxnet.contrib.onnx
package refers to the APIs and interfaces that implement ONNX model format support for Apache MXNet.
With ONNX format support for MXNet, developers can build and train models with a variety of deep learning frameworks, and import these models into MXNet to run them for inference and training using MXNet’s highly optimized engine.
.. warning:: This package contains experimental APIs and may change in the near future.
This document describes all the ONNX-MXNet APIs.
.. autosummary::
:nosignatures:
mxnet.contrib.onnx.onnx2mx.import_model
mxnet.contrib.onnx.onnx2mx.import_to_gluon
mxnet.contrib.onnx.mx2onnx.export_model
.. toctree::
:maxdepth: 1
/tutorials/onnx/super_resolution.md
/tutorials/onnx/export_mxnet_to_onnx.md
/tutorials/onnx/inference_on_onnx_model.md
/tutorials/onnx/fine_tuning_gluon.md
.. automodule:: mxnet.contrib.onnx.onnx2mx.import_model
:members: import_model, get_model_metadata
.. automodule:: mxnet.contrib.onnx.onnx2mx.import_to_gluon
:members: import_to_gluon
.. automodule:: mxnet.contrib.onnx.mx2onnx.export_model
:members: export_model
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