Liqun/havenka/rel 1.8.1 round3 (#8246)
* Revert the cuda algo finding change as this causes a significant memory bloat. (#8181)
* Revert the cuda algo finding change as this causes a significant memory bloat.
* Address PR comment
* Make pipelines to support torch1.8.1 and torch1.9.0 (#8084)
* Add post-install command to build PyTorch CPP extensions from within onnxruntime package (#8027)
ORTModule requires two PyTorch CPP extensions that are currently JIT compiled. The runtime compilation can cause issues in some environments without all build requirements or in environments with multiple instances of ORTModule running in parallel
This PR creates a custom command to compile such extensions that must be manually executed before ORTModule is executed for the first time. When users try to use ORTModule before the extensions are compiled, an error with instructions are raised
PyTorch CPP Extensions for ORTModule can be compiled by running:
python -m onnxruntime.training.ortmodule.torch_cpp_extensions.install
Full build environment is needed for this
* Patch orttraining-ortmodule pipeline with latest fix on master
* add cuda version to build config
* lib path
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* Remove auto doc gen
Co-authored-by: Pranav Sharma <prs@microsoft.com>
Co-authored-by: Thiago Crepaldi <thiago.crepaldi@microsoft.com>
Co-authored-by: Baiju Meswani <bmeswani@microsoft.com>
