onnxruntime/tools/python/util/ort_format_model
Scott McKay 329fd03bb4
Add int32_t as required type to some operators (#7192)
* Updates to some operators to always support int32 and int64 based on testing of Android package build config with a minimal build.

If an operator can be used for shape manipulation (int64) it is frequently used for indices manipulation (int32), so we enable both types for that set of ops.
  - e.g. BERT models take indices as input
  - Scatter/Gather ops utilize indices

Misc. fix to python bindings to exclude call that fails in a minimal build.
2021-04-01 19:32:34 +10:00
..
__init__.py Support required types when excluding typed registrations (#6871) 2021-03-08 08:22:07 -08:00
operator_type_usage_processors.py Add int32_t as required type to some operators (#7192) 2021-04-01 19:32:34 +10:00
ort_model_processor.py Update kernel def hashing (#7019) 2021-03-22 09:28:27 -07:00
types.py Support required types when excluding typed registrations (#6871) 2021-03-08 08:22:07 -08:00
utils.py Update kernel def hashing (#7019) 2021-03-22 09:28:27 -07:00