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* Limit number of architectures build
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* support dtype casting fusion in FusedAdam
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* minor changes
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* fix lint
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* changes based on review comments
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* fix typo
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* refactor
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* Fix linter warnings
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* Bump minimum CUDA version to 12.0
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* Debug CUDA version check
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* Debug CMake build
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Remove logic for CUDA <12.0 in PyTorch and Paddle builds. Update version in docs and README.
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* add default path for ffi include

* add an option to get XLA_HOME from env

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* implemented custom call with ffi in csrc

* moved headers of misc to misc.h, add ffi.h

* ActLu and DActLu lowering with ffi_lowering

* CastTranspose with ffi_lowering

* enabled cudaGraph

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* added operand_output_aliases for CastTranspose

* added env var NVTE_JAX_WITH_FFI, default value = 1

* replace casting ActivationEnum by taking its value

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* add timing for build

* using perf_counter

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* added threading build back

* integrating threading for pytorch and paddle extensions

* added messages

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* Fixes for wheels
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* Fix paddle wheel test
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* Specify python version
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* Fixes
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* Fix paddle wheel
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* fixes
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* fix
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* Fixes
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* fix
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* dynamically load nvrtc
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* Lint
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* properly include files for sdist
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* Fix paddle build from src [wip]
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* Fix workflow paddle build
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* Fix paddle
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* Fix paddle
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* fix lint from pr986
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* fix
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* Add sanity wheel test
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* Add sanity import to wheel test
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* remove upper limit on paddlepaddle version
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* Remove unused imports
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* Remove pybind11 dependency
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* Fix cpp tests
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* fixes
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* CLeanup, remove residual code
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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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fix 261 compile
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* add parallel build without pyproject
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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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cache was added in Python 3.9.
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* adding option to select only .cpp files in a dir in the build tool

* change cmake build path

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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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Fix editable build for paddle
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Cleanup
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