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Introduce sparse_initializers support.
Convert them to dense on model load and prune graph_proto_
so they don't consume space. Convert back to sparse on ORT Format model save.
Implement serializing sparse initializers to OrtFormat.
Fix Model::ToProto() to return original sparse initializers
Set a flag that graph_sync is needed when loading a simple ORT Format model.
otherwise nothing is resolved.
Add ORT Format history to README.md
ifdef MINIMAL build for DenseToSparseTensorInitializer
Allow duplicate initializers to support existing models.
Issue a warning instead of aborting.
* Revert "Remove SparseTensor support from minimal build. (#5114)"
This reverts commit
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| .. | ||
| contrib_ops | ||
| core | ||
| featurizers_ops/cpu | ||
| gsl | ||
| python | ||
| test | ||
| tool/etw | ||
| .style.yapf | ||
| __init__.py | ||
| ReformatSource.ps1 | ||
| ReformatSourcePython.bat | ||
| VSCodeCoverage.runsettings | ||