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Currently, if you create a training session with the C api using CreateTrainingSessionFromBuffer() there is no way to export the final model using ExportModelForInferencing(), because the latter complains that no eval path has been provided.
It should be possible I believe to allow for the export of the final model even if the session has been created from buffers.
To reproduce
Just initialize any training session with any model from buffers and try to export the model.
Urgency
No response
ONNX Runtime Installation
Released Package
ONNX Runtime Version or Commit ID
v2.18.0
PyTorch Version
2.3.1
Execution Provider
Default CPU
Execution Provider Library Version
No response
The text was updated successfully, but these errors were encountered:
Describe the issue
Currently, if you create a training session with the C api using
CreateTrainingSessionFromBuffer()
there is no way to export the final model usingExportModelForInferencing()
, because the latter complains that no eval path has been provided.It should be possible I believe to allow for the export of the final model even if the session has been created from buffers.
To reproduce
Just initialize any training session with any model from buffers and try to export the model.
Urgency
No response
ONNX Runtime Installation
Released Package
ONNX Runtime Version or Commit ID
v2.18.0
PyTorch Version
2.3.1
Execution Provider
Default CPU
Execution Provider Library Version
No response
The text was updated successfully, but these errors were encountered: