Wei-Sheng Chin b0279b14d8 [DORT] Enable Dynamic Shape in DORT and Use Different InferenceSession's when Inputs Are Not Compatible (#16753) ... Sometimes, ONNX exporter generates rank- or shape-dependent sub-graphs. Thus, error could occur when running the ONNX model with different inputs. This PR ([78e736d](78e736d857)) addresses this problem by - if needed, exporting multiple ONNX models with different inputs for the same GraphModule. - implementing a naive mechanism to determine of existing ONNX models (and the associated InferenceSession) can be reused. On the other hand, in the second commit [b5a9b5f](b5a9b5f849), this PR also enables dynamic shapes in DORT by - passing dynamic_shapes = True to exporter (see how DEFAULT_DYNAMIC_BACKEND is created) - calling torch._dynamo.optimize(dynamic_ort_aot, dynamic=True) (see how dynamic_ort_aot is created).		2023-07-24 16:54:01 -07:00
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deprecated	Adopt linrtunner as the linting tool - take 2 (#15085)	2023-03-24 15:29:03 -07:00
training	[DORT] Enable Dynamic Shape in DORT and Use Different InferenceSession's when Inputs Are Not Compatible (#16753)	2023-07-24 16:54:01 -07:00
checkpointing_utils.py	[Better Engineering] Bump ruff to 0.0.278 and fix new lint errors (#16789)	2023-07-21 12:53:41 -07:00
ort_trainer.py	[Better Engineering] Bump ruff to 0.0.278 and fix new lint errors (#16789)	2023-07-21 12:53:41 -07:00
orttraining_pybind_common.h	Re-work global objects dependancies in pybind layer. (#14941)	2023-03-10 13:55:31 -08:00
orttraining_pybind_state.cc	Add support for training apis to support custom ops (#16601)	2023-07-14 11:15:51 -07:00
orttraining_python_module.cc	ExecutionProvider API refactor - move allocator from EP level to SessionState level and indexed by OrtDevice (#15833)	2023-06-19 17:44:45 -07:00
orttraining_python_module_eager.h	Run clang-format in CI (#15524)	2023-04-18 09:26:58 -07:00
pt_patch.py	Adopt linrtunner as the linting tool - take 2 (#15085)	2023-03-24 15:29:03 -07:00