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Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix file extensions
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* fix build
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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* upgrade paddle container for CI
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* moved userbuffers code to TE/common
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* moved comm+GEMM overlap code to TE/common
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* removed PyTorch depdency from comm+GEMM overlap in TE/common
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* added TE/PyTorch wrappers for refactored comm+GEMM overlap code in TE/common
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* updated TE/PyTorch Python API to match the refactored comm+GEMM overlap code
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* updated unit tests to work with refactored comm+GEMM overlap code
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* added a pylint exception to comm+GEMM overlap test runner
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* fixing linting errors
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* added documentation for te.initialize_ub
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* fixed compile errors when building with NVTE_UB_WITH_MPI=1
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* fixed default bootstrap backend
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* updated bootstrap backend documentation
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* close UB bootstrap socket to avoid interfering with CUDA Multicast shareable file handle send/recv
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* added torch::Tensor wrappers for communication buffer and atomic counters so PyTorch can factor externally allocated memory into its garbage collection threshold
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* automated handling of world, local and node ranks/sizes within C++ CommOverlapHelper to simplify Python function signatures
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* fixed incorrect read of environment variables
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* corrected priority for _SOCKET_IFNAME environment variables in UB bootstrapping
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* moved multicast support check to cuda_runtime.h and replaced cudaDeviceGetProp call with cached sm_count()
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* removed commented out old code and replaced external collective function type defines with aliases
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* compile-time CUDA version guard for CUDA Driver Multicast attribute
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* condensed UB docs, corrected const violations
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* fixed autodoc rst for UB calls, added CUDA version guard on Multicast UB kernels
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* fixed incorrect UB type reporting for P2P overlaps, comment reformatting
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* fix NVTE_UB_WITH_MPI read
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* Add default value
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* Allow to pass architectures like 90a, without being overriden
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* Review suggestion from @timmoon10
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* Limit number of architectures build
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* Bump minimum CUDA version to 12.0
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* added threading build back

* integrating threading for pytorch and paddle extensions

* added messages

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[PyTorch] Fixing hang in `initialize_ub()` for multi-node runs after PR901 removal of MPI-dependence (#986)

* Re-implementing PR901 (removing MPI-dependence in Userbuffers) with multi-node fixes

* passing data-parallel rank/size info from torch.distributed to userbuffers
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* multi-node example working with UB_SKIPMC=1 but not with multicast
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* fixed multi-node hang in initialize_ub(), updated comm+GEMM overlap example to support multi-node mixed tensor/data parallelism, added README
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* fixed use case when Userbuffers is asked to allocate the TP overlap buffer with UB_SKIPMC=1
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* corrected example problem to set device by local ordinal instead of global process rank
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* double-free fix in userbuffers destructor
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* removed unnecessary and incorrect torch.cuda.set_device(...)
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* corrected inter-node ranks logic
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* generalized node ID logic in initialize_ub to handle arbitrary world rank layouts within node
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* added single-node comm+GEMM overlap unit tests
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* LayerNormMLP example confirmed working with 2 nodes on Eos
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* unit test cleanup
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* corrected DP group ranks logic in LNMLP comm+GEMM overlap example
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* corrected enums in unit test
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* fixed incorrect Ubuf object init signature
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* switched default backend for Userbuffer bootstrapping to Gloo with MPI and NCCL fallbacks, and initialize_ub option to manually select backend
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* fixed all comm+GEMM overlap unit tests
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* corrected all_gather use for Gloo backend
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* changed userbuffers allgather callback to always use all_gather() instead of all_gather_into_tensor()
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* restored and verified old MPI-based bootstrapping via NVTE_UB_WITH_MPI=1 option at compile time
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* disabled scoped GIL release for comm+GEMM overlap algorithms
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* avoid dist.init_device_mesh in comm+GEMM overlap example to support older PyTorch versions
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* applied RS overlap FP8 fix from PR1004
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* fixed segfault in Userbuffers destructor
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* corrected comm+GEMM overlap unit test arguments
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* fixed unit test run command for when Userbuffers is compiled with MPI
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* Refactored torch.distributed collectives into pure C++ callbacks
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* removed libcuda.so link at compile time for TE/PyTorch extension
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* linting fixes
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* updated get_symbol() in TE/common/cuda_utils.h to new impl based on cudaGetDriverEntryPoint
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* fix duplicate quotation
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* Apply formatting
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* Apply formatting
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* added DL framework callbacks for bootstrapping userbuffers without MPI
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* removed userbuffers availability check in TE modules since userbuffers is now always compiled
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* added comm+GEMM overlap example with LayerNormMLP
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* lintin and review fixes
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* linting and review fixes
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* added header guards
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* removed defunct userbuffers checks in build_utils and setup.py
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* added exposed API in modules/base.py to __all__
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* removed transformer_engine/CMakeLists.txt and shifted all TE/common compile into transformer_engine/common/CmakeLists.txt

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Cleanup
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