Add support for training apis to support custom ops #16601
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orttraining/orttraining/python/training/onnxblock/_training_graph_utils.py
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One of our partner teams has a need for the op This pull request allows for us to register any user provided custom op library (such as |
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Co-authored-by: pengwa <pengwa@microsoft.com>
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This pull request contains a few changes: 1. Adds support for string ort values. 2. Fixes the training minimal build (that was broken with #16601) by putting custom op registration behind #ifdefs 3. Fixes the iOS pod package generation (that was again broken with #16601) by explicitly providing paths to be copied during pod creation.
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This pull request contains a few changes: 1. Adds support for string ort values. 2. Fixes the training minimal build (that was broken with #16601) by putting custom op registration behind #ifdefs 3. Fixes the iOS pod package generation (that was again broken with #16601) by explicitly providing paths to be copied during pod creation.
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So far, the training API did not include support to register custom op libraries.
One of the models we are working with requires the use of
onnxruntime-extensions.onnxruntime-extensionsis implemented as a custom op and needs to be registered withONNX Runtimebefore an ONNX model containing the custom op nodes can be executed.This pull request adds the necessary tooling to register the custom op library for both, artifact generation, and graph execution.
In addition, this pull request also adds support for executing models with string tensor inputs.