GitLab

* Remove unnecessary Pylint overrides
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

---------
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Support noop concat without providing full tensor

Stop storing fused buffers in linear modules.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug noop cat func
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Construct TE modules in tests with correct dtypes
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add tolerances to numerical tests
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Use plain PyTorch concat when exporting to ONNX
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

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

* Check for FP8
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix LoRa-like use cases
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* WIP: fp8 v1 fprop integration
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: minor fixes
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add debug info
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add more debug info
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fprop working for h1; w/ debug info
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: add bprop
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* cleanup; bprop running but has mismatches
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add gitlab frontend as submodule
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* clean up and add back v0.9.2 FE support; fprop/bprop passing with 5e-2 tols
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix after merge; add bias_b/h to caching descriptor
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* distinguish fwd/bwd tensor types for bprop
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* minor fix for F16 cases; include added dqkv_type and d_scale_dp
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* adjust out shape for bwd in test
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add casting from/to FP8 to DPA module
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: bshd_bshd_bshd layout
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: support all sbhd/bshd layouts
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* clean up
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add qkvpacked and kvpacked support in both FusedAttnFunc and C levels
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove qkvpacked/kvpacked calls in DPA module (used for testing)
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove tp setup; add allow_non_contiguous; update FE; revert to sbh3d in tests; clean up
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add NVTE_FP8_DPA_BWD to control whether to use FP8 bwd or F16 bwd
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix MQA
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix MQA/GQA in FP8 v1 API
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update FE to 705d8e3, with API change
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* test causal mask
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* restrict mha_fill for THD format
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix fused attn with CP and comment out is_alibi code
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* clean up FE0.9 vs FE1.0 FP8 implementations, and related unit tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* change NVTE_FP8_DPA_BWD default to 1, and fix its use in qkvpacked/kvpacked APIs
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix lint and self.tp_size/group in FusedAttention()
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update FE to 6902c94
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add FP8 MHA support
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update to FE v1.3.0
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* minor fixes for FP8 MHA with different configs
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* emit stats regardless of is_training
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix linear when input is not Float8Tensor
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix d_out type when f16 bprop
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix user buffer for layernorm_linear/linear and revert two FP8 casts in MHA
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add docstring for fp8_dpa/mha in recipe
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

* fix backend selection to avoid FA
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* replace transpose with transpose_2d
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* use RMSE for FP8 unit tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* replace two more transpose with transpose_2d
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add FP8 initialization to FusedAttention
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

* Revert "add FP8 initialization to FusedAttention"

This reverts commit 15fffd825d6f23f31ea709b16ba01dfd61efabf8.
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Change order of ctxs
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* minor fixes
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add back docs and mark as beta
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* minor fixes for tests and docs
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

---------
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Don't use autograd hook for bwd reduction
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add LN margin to inference
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* cleanup
Signed-off-by: Sangkug Lym <slym@nvidia.com>

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

* Fix grads
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>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* FP8 cuda graphs
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>
Co-authored-by: Charlene Yang <charleney@nvidia.com>

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

* exclude torch compile from numerics tests
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* rm fusion from unfused path
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>
Co-authored-by: Charlene Yang <charleney@nvidia.com>

fix the default userbuffer communicator init settings
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* Enable DGRAD RS overlap
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

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

---------
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* userbuffer fp8 reduction support for individual overlap
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* cleanup dict ub_cfg dict value load
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* cleanup
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* 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>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Atomic gemm for TP-AR and TP-RS overlap with P2P exchanges
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* FP8 reduction for atomic TP-RS with p2p exchange
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* Fix
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>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Do not store input activations when not computing weight gradients
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* fix userbuffer tp comm overlap case
Signed-off-by: Sangkug Lym <slym@nvidia.com>

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

* Enable TP-AG overlap with return_layernorm_output
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

* Use ub_overlap_ag
Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>

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

* TP-RS overlap with send/recv

Atomic GEMM based TP-RS overlap with send/recv
Signed-off-by: Sangkug Lym <slym@nvidia.com>

Specify userbuffer overlap method of each overlap instance
Signed-off-by: Sangkug Lym <slym@nvidia.com>

P2P TP-RS overlap with fp8 GEMM outputs
Signed-off-by: Sangkug Lym <slym@nvidia.com>

Fix TP-RS overlap with send/recv
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* cleanup
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* cleanup
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* linting
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* fix typo
Signed-off-by: Sangkug Lym <slym@nvidia.com>

---------
Signed-off-by: Sangkug Lym <slym@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* add_dtype_for_userbuf
Signed-off-by: Hongbin Liu <hongbinl@nvidia.com>

* Update transformer_engine/pytorch/module/base.py
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

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

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

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

* first draft of return_layernorm_output_gathered
Signed-off-by: Chen Cui <chcui@nvidia.com>

* explain use case more thoroughly in docstring
Signed-off-by: Chen Cui <chcui@nvidia.com>

* add same option in `LayerNormMLP`
Signed-off-by: Chen Cui <chcui@nvidia.com>

* Update transformer_engine/pytorch/module/layernorm_linear.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Chen Cui <cxcui@alumni.cmu.edu>

* Update transformer_engine/pytorch/module/layernorm_linear.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Chen Cui <cxcui@alumni.cmu.edu>

* address comments
Signed-off-by: Chen Cui <chcui@nvidia.com>

* add same option in LayerNormMLP
Signed-off-by: Chen Cui <chcui@nvidia.com>

* address linter errors
Signed-off-by: Chen Cui <chcui@nvidia.com>

---------
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>

Signed-off-by: Jaemin Choi <jaeminc@nvidia.com>
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>

* Implemented deferred initialization via `device='meta'` option for te.Linear and added new PyTorch example to demonstrate its use with FullyShardedDataParallel execution.
Signed-off-by: Alp Dener <adener@nvidia.com>

* correcting Float8Tensor initialization and fixing linting errors
Signed-off-by: Alp Dener <adener@nvidia.com>

* removed duplicate code from upstream rebase, local tests passing
Signed-off-by: Alp Dener <adener@nvidia.com>

* improved comments/documentation for FSDP example
Signed-off-by: Alp Dener <adener@nvidia.com>

* converted reset_parameters() into a base module function
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed Float8Tensor creation with deferred init, all tests passing locally
Signed-off-by: Alp Dener <adener@nvidia.com>

* extended deferred initialization to all TE modules
Signed-off-by: Alp Dener <adener@nvidia.com>

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

* removed unnecessary reference to the parent module of parameter, added clarifying comments in parameter reset
Signed-off-by: Alp Dener <adener@nvidia.com>

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

* Refactor parameter split in Linear module

Remove module state from noop_cat. Support arbitrary names in parameter split. Handle tensor parallelism.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Make noop_cat a standalone operation
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Update parameter splits in LayerNormLinear
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug case without bias

Fix pylint complaints.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove unused import
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

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

* Linear and LayerNormLinear weight and bias buffer cleanup at the end of init when there is no parameter split
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed typo in tensor name
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed typo in tensor name
Signed-off-by: Alp Dener <adener@nvidia.com>

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

* Disable dynamo for Fused Attention
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

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

* Integrate cuDNN frontend v1 to fused attention and miscellaneous fixes
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix lint
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix jax/paddle for unit tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix jax/pytorch lint
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* simplify stride generation
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix and/or logic in get_backend
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix flag_max512 and test_numerics
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove v.contiguous() since get_qkv_layout covers it
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* skip fp8 tests for sm89
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* further fix jax CI
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix jax CI
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* revert mask type to comma-separated list
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix lint
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix last two commits
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* integrate v1/pre-release-5
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* cleanup prerelease5 integration and fix FA2.1 commit
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* force dropout to 0 if not training
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix Jax CI
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* testing bias/alibi and padding+causal; add alibi to unfused DPA
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* set flag_arb to false when non determinism is not allowed
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* followup on prev commit; remove redundant python env var setting
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* WIP: minor tweaks for tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* prepare for tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix determinism logic for fused attn
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add bias to bwd
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix gpt_checkpointing/dpa_accuracy problem
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix some seg fault issues
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add failure notes
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove use of non-deter var for backend selection
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* minor fix for lint and CI
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix workspace size in bwd and uncomment bias test
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix get_alibi and remove check_support
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update tests status
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove workspace_opt from FADescriptor_v1
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* disable arbitrary backend + post scale bias in Jax; waiting on PR 525
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* clean up bhsd order
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* swap bias/rng_state order in aux_ctx_tensor and add bias to aux_ctx_tensor in _qkvpacked/_kvpacked API
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove support for padding_causal + cross for max512
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* change alibi bias to float32 for bias_1_4/5 tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* further clean up tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix thd fwd output shape for FlashAttention and add backend info for DPA
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix definition of workspace limit when dbias is present
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* further tweak DP_WORKSPACE_LIMIT definition
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* disallow alibi+no_mask for sdpa flash and update alibi tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update jax/paddle after PR525 and fix DP_WORKSPACE_LIMIT for dbias Jax tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* disable dbias for non-hopper archs
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix layernorm lint
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remode unused arg for lint
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove build dir in setup.py
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* change selection logic to prefer fused attn on sm90
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix distributed jax test
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix h and s order in header
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update to cudnn fe v1 branch
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove manual setting of workopt path due to dbias after v1 update
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix paddle CI
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add post_scale_bias and alibi to sdpa flash support matrix
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix support matrix in header files
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* move headers back to .cu and change seed/offset to int64
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* update Megatron commit in L1 test and remove all prints in fused attn test
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix L1 Megatron test
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix fp8 arg in L1 Megatron script
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* print only when debug flag is on
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove checkpointing loading to avoid loading other tests results
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

---------
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Signed-off-by: cyanguwa <8636796+cyanguwa@users.noreply.github.com>

* Float8Tensor uses cached transpose if available
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix bug with non-2D transpose
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Custom pickling for Float8Tensor
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug test for pickling Float8Tensor
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Review suggestions from @sudhakarsingh27

Avoid FP8 casts when copying between Float8Tensors. Make make_like a class function.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add unit test for checkpointing model with FP8 params

Debugged pickling and copy functions.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

Fix incorrect variable name in LayerNormMLP backward
Signed-off-by: Tim Moon <tmoon@nvidia.com>

[PyTorch] fix amax calculate during fp8 calibration
Signed-off-by: ladyrick <ladyrick@qq.com>