GitLab

* subclass DPA with BaseModule and test with test_gpt_checkpointing
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* test DPA only
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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for more information, see https://pre-commit.ci



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for more information, see https://pre-commit.ci



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

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

* added DL framework callbacks for bootstrapping userbuffers without MPI
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* linting and review fixes
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---------
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Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* New TE wrapper for PyTorch FullyShardedDataParallel to make TE modules distribute their activations after the forward pass and gather them before the backward pass
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* simplified TE module setup for FSDP comms
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* Fixed typo in attribute name
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Cleanup
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---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Calibration fix
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* Lint fix
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---------
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>
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* added squared relu in te-torch
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---------
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---------
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* Remove unnecessary Pylint overrides
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* Fixes to lint
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---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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* Support noop concat without providing full tensor

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---------
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* fixes; docs
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* Check for FP8
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* Reviews
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---------
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* WIP: fp8 v1 fprop integration
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This reverts commit 15fffd825d6f23f31ea709b16ba01dfd61efabf8.
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* Change order of ctxs
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* Fixes
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---------
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Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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Don't use autograd hook for bwd reduction
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* cleanup
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* Fix grads
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---------
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* FP8 cuda graphs
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* Fix numerics
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* exclude torch compile from numerics tests
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* More numerics fixes
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* Fix tests
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* Fix CI
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* rm fusion from unfused path
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---------
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fix the default userbuffer communicator init settings
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* Enable DGRAD RS overlap
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* fix lint; apply suggestions
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---------
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* userbuffer fp8 reduction support for individual overlap
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* cleanup dict ub_cfg dict value load
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* cleanup
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* Remove unnecessary fence from producer

From @erhoo82 
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Sangkug Lym <slym@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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* Atomic gemm for TP-AR and TP-RS overlap with P2P exchanges
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* FP8 reduction for atomic TP-RS with p2p exchange
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* Fix
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---------
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Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
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* Do not store input activations when not computing weight gradients
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* fix userbuffer tp comm overlap case
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---------
Signed-off-by: Sangkug Lym <slym@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Perform FP8 cast on gathered layernorm output in LayerNormLinear
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* Enable TP-AG overlap with return_layernorm_output
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* Use ub_overlap_ag
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---------
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>
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* TP-RS overlap with send/recv

Atomic GEMM based TP-RS overlap with send/recv
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Specify userbuffer overlap method of each overlap instance
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P2P TP-RS overlap with fp8 GEMM outputs
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Fix TP-RS overlap with send/recv
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* cleanup
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* cleanup
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* linting
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* fix typo
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---------
Signed-off-by: Sangkug Lym <slym@nvidia.com>
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* add_dtype_for_userbuf
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* Update transformer_engine/pytorch/module/base.py
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* Fix syntax
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* Fix lint
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---------
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* first draft of return_layernorm_output_gathered
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* explain use case more thoroughly in docstring
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* add same option in `LayerNormMLP`
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* Update transformer_engine/pytorch/module/layernorm_linear.py
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* address comments
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* add same option in LayerNormMLP
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* address linter errors
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---------
Signed-off-by: Chen Cui <chcui@nvidia.com>
Signed-off-by: Chen Cui <cxcui@alumni.cmu.edu>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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Co-authored-by: Jaemin Choi <jaeminc@nvidia.com>

* Avoid updating real during param cast
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* added non-reentrant mode support to TE checkpoint
Signed-off-by: Alp Dener <adener@nvidia.com>

* updated get_cuda_rng_tracker kwarg to get_rng_state_tracker to remain consistent with other TE API
Signed-off-by: Alp Dener <adener@nvidia.com>

* docstring cleanup
Signed-off-by: Alp Dener <adener@nvidia.com>

* added mechanism to disable bias_gelu_nvfusion in LayerNormMLP when checkpointing in non-reentrant mode
Signed-off-by: Alp Dener <adener@nvidia.com>

* refactored checkpoint and recompute hook names to match PyTorch implementation
Signed-off-by: Alp Dener <adener@nvidia.com>

* Fixed incorrect reference before assignment
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed argument error in calling native PyTorch checkpoint
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed linting errors for missing docstrings
Signed-off-by: Alp Dener <adener@nvidia.com>

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

* bias GELU fusion consistency between checkpoint test and reference comparison
Signed-off-by: Alp Dener <adener@nvidia.com>

---------
Signed-off-by: Alp Dener <adener@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Added QuickGELUActivation from HuggingFace/Transformers to common and pytorch
Signed-off-by: Alp Dener <adener@nvidia.com>

* Removing 'qgelu' from double-size activations list in LayerNormMLP.
Signed-off-by: Alp Dener <adener@nvidia.com>

* indent fix
Signed-off-by: Alp Dener <adener@nvidia.com>

---------
Signed-off-by: Alp Dener <adener@nvidia.com>
Co-authored-by: Przemyslaw Tredak <ptredak@nvidia.com>

* Add option to avoid updating transpose cache when possible
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix typo
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use string kwarg for FP8 transpose caching
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove unused attr
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* Support GEMM-GELU fusion with split AG overlap
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

* Fix linter complaints
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jaemin Choi <minitu77@gmail.com>

* Avoid code duplication
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

* Fix issue with modifying tuple
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

* Disable GEMM-GELU fusion when split AG overlap is not enabled
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

* Add ub_split_ag parameter to LayerNormMLP unit test
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

* Move knob into LayerNormMLP, auto-disable fusion when split AG overlap is not enabled
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

* Revert changes to test_layernorm_mlp_accuracy
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jaemin Choi <minitu77@gmail.com>

---------
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>
Signed-off-by: Jaemin Choi <minitu77@gmail.com>
Co-authored-by: Jaemin Choi <jaeminc@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

Use cloned scale_inv for fp8 cast
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add zero_centered_gamma option to RMSNorm
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* More improvements to tests
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Tweaking the tolerances
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix LayerNormMLP test
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Update transformer_engine/common/rmsnorm/rmsnorm_api.cpp
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Update transformer_engine/common/rmsnorm/rmsnorm_api.cpp
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Tweak tolerances with bfloat16
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

---------
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* fixes for recomputation
Signed-off-by: Jimmy Zhang <jiemingz@nvidia.com>

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

* Fix onnx export [wip]
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* register op; fixes
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Jimmy Zhang <jiemingz@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Jimmy Zhang <jiemingz@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Do not allocate FP8 workspace buffers when params are FP8
Signed-off-by: Tim Moon <tmoon@nvidia.com>

Fixed offloading for PyT version/ Added Attention activation offloading support/ Native FP8 support (#632)

* Fixed offloading for PyT version/ Added Attention activation offloading support/ Native FP8 support
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* Removed activation offloading for fused attention
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* Fixed the illegal memory access issue for activation offloading of attention
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* Removed the version guard
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* Pipeline failures fix
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* Fixed lint erros
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* Lint error fix
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

---------
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>
Co-authored-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* added missing parameter materialization on real device for LayerNorm and RMSNorm
Signed-off-by: Alp Dener <adener@nvidia.com>

* added new unittest for deferred initialization and modified parameter materialization to support standalone execution outside of FSDP
Signed-off-by: Alp Dener <adener@nvidia.com>

* restored tensor parallel attributes that were being wiped out by the parameter reset
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed incorrect order of fp8 metadata initialization
Signed-off-by: Alp Dener <adener@nvidia.com>

* added deferred init unittest to the QA script
Signed-off-by: Alp Dener <adener@nvidia.com>

---------
Signed-off-by: Alp Dener <adener@nvidia.com>

Signed-off-by: Markus Schnoes <markus.schnoes@gmx.de>

Activation offloading to CPU's for the Linear, Layernorm Linear and the Layernorm MLP modules (#571)

* Added support activation offloading to CPU's
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* Moving CPU offloading library to TE
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* Restructured code, added switch to choose between weight/activation offloading
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* Removed arg during constructor
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* Fix nit-pick errors
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

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

* Fix to the code block in docs
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Added offloading unit test
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* Fixed formatting
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* wgrad fusion fix, minor errors and lint
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Errors, test, lint
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Fixed stray PyT tensors in LayernormMLP getting offloaded
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* Fixed typi
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>

* Fix offloading for rmsnorm, rm test
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Float8Tensor compatible offloading
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

---------
Signed-off-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Selvaraj Anandaraj <selvaraja@login-eos01.eos.clusters.nvidia.com>
Co-authored-by: Przemyslaw Tredak <ptredak@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>