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* Make ORT as Pytorch JIT backend LORT likely doesn't work with aten fallback so we only test LORT in its own CI. * Revert changes to enable external CUDA allocator. Will add it later. Revert "Revert changes to enable external CUDA allocator. Will add it later." This reverts commit d5487f2e193014c805505afae8fb577c53667658. Fix external allocator * Relax tolerance and remove commented code * Print more information in CI * Fix pointer * Address comments. 1. Reuse ORT-eager mode's environment. 2. Remove unused ctor. * Use Pytorch master branch as all PRs are merged Fix * Refine based on cpplint feedbacks * Revert changes to allow custom CUDA allocator in public APIs * Use torch.testing.assert_close * Use unittest framework * Switch docker repo * Rename *.cpp to *.cc * Address comments * Add comment * Use same pipeline file for eager and lort pipelines * Address comments * Add yaml comment * Fix cmake files * Address comments * Rename flags, remove printing code, remove dead comment |
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| .. | ||
| github | ||
| __init__.py | ||
| amd_hipify.py | ||
| build.py | ||
| clean_docker_image_cache.py | ||
| coverage.py | ||
| gen_def.py | ||
| get_docker_image.py | ||
| logger.py | ||
| op_registration_utils.py | ||
| op_registration_validator.py | ||
| policheck_exclusions.xml | ||
| reduce_op_kernels.py | ||
| requirements.txt | ||
| upload_python_package_to_azure_storage.py | ||