onnxruntime/onnxruntime
Hector Li 6e17571f2f
Fix issue that the generated context cache model inputs/outputs order is not guaranteed (#19195)
Fix issue that the generated context cache model inputs/outputs order is not guaranteed

### Description
Currently, QNN EP generate the context cache model in Compile() method which only get access to the partitioned graph. And the inputs/outputs order for the partitioned graph is not guaranteed. And EP doesn't have the view of the input user model. Have to move the context cache model generation to a higher level in GraphPartitioner which has the view of the partitioned model.
This is also a break down of PR for multi-partition support.
https://github.com/microsoft/onnxruntime/pull/18865
2024-01-19 15:16:17 -08:00
..
contrib_ops Update x64 template kernel library for 'sqnbitgemm' (#19016) 2024-01-18 13:16:34 -08:00
core Fix issue that the generated context cache model inputs/outputs order is not guaranteed (#19195) 2024-01-19 15:16:17 -08:00
python Update LLaMA attention fusions (#19200) 2024-01-19 11:09:24 -08:00
test Fix issue that the generated context cache model inputs/outputs order is not guaranteed (#19195) 2024-01-19 15:16:17 -08:00
tool/etw
wasm [js] enable external data loading for ort-web (#19087) 2024-01-12 19:24:24 -08:00
__init__.py [ORT 1.17.0 release] Bump up version to 1.18.0 (#19170) 2024-01-17 11:18:32 -08:00
ReformatSource.ps1
ReformatSourcePython.bat
VSCodeCoverage.runsettings