Caroline Zhu 6236707c64 Enable >2GB models + allow model paths to be passed for generate_artifacts API (#20958) ... ### Description Alternative design from #20942 Allow users to pass in a model path for the generate_artifacts API. ### Motivation and Context - ONNX API calls such as the onnx checker + shape inference fail when given a model > 2GB, but work if a path to a model >2GB is passed in.		2024-06-21 09:55:26 -07:00
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amp	[Better Engineering] Bump ruff to 0.0.278 and fix new lint errors (#16789)	2023-07-21 12:53:41 -07:00
api	Introduce a Nominal Checkpoint for On-Device Training (#19232)	2024-01-30 22:11:25 -08:00
experimental	Manage ORTModule configurations consistently (#16396)	2023-06-27 19:19:36 +08:00
onnxblock	Enable >2GB models + allow model paths to be passed for generate_artifacts API (#20958)	2024-06-21 09:55:26 -07:00
optim	Bump ruff to 0.3.2 and black to 24 (#19878)	2024-03-13 10:00:32 -07:00
ort_triton	Support BFloat16 for Triton Codegen (#20353)	2024-04-18 17:15:11 +08:00
ortmodule	Flash attention recompute (#20603)	2024-05-21 13:38:19 +08:00
utils	Fix and enable few ORTModule Unit Tests (#19847)	2024-03-12 10:49:19 +08:00
__init__.py	Bump ruff to 0.3.2 and black to 24 (#19878)	2024-03-13 10:00:32 -07:00
_utils.py	Removed all the deprecated python training code and related tests and utils (#18333)	2023-11-17 18:19:21 -08:00
artifacts.py	Enable >2GB models + allow model paths to be passed for generate_artifacts API (#20958)	2024-06-21 09:55:26 -07:00