Tang, Cheng 6d3c2c85ef Integrate eager mode source code into onnxruntime repo (#8584) ... * integrate eager mode source codde; build with cmake and integrate the python test * Adding the python path for importing libraries in the Eager mode * fix clang break;check if training and python enabled * handling the linking of torch libraries across multiple platforms * merge and fix the naming * add build instruction Co-authored-by: Abhishek Jindal <abjindal@OrtTrainingDev0.af05slrtruoetgaxwwjv5nsq5e.px.internal.cloudapp.net> Co-authored-by: ajindal1 <abjindal@microsoft.com>		2021-08-06 08:30:27 -07:00
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github	to create a training cpu package for torch-ort documentation (#7845)	2021-08-05 16:43:37 -07:00
wasm	[wasm] emsdk: allow to install emscripten only (#7961)	2021-06-07 09:45:02 -07:00
__init__.py
amd_hipify.py	Implement BatchNormInternal for cuda (#8172)	2021-07-28 16:04:49 +08:00
build.py	Integrate eager mode source code into onnxruntime repo (#8584)	2021-08-06 08:30:27 -07:00
clean_docker_image_cache.py
coverage.py
gen_def.py	Move one function from cuda_provider_factory.h (#8407)	2021-07-19 17:55:59 -07:00
get_docker_image.py
logger.py
op_registration_utils.py	Update Android AAR packaging pipeline script (#7559)	2021-05-04 11:13:33 -07:00
op_registration_validator.py
reduce_op_kernels.py
requirements.txt	Restore transformers tests and disable some tests (#8530)	2021-07-29 14:09:36 -07:00
upload_python_package_to_azure_storage.py	to support multiple cuda versions in published onnxruntime-training package (#7468)	2021-04-27 17:15:33 -07:00