Commits · c9ea6be92948e1ec553037f1a04900617b9f7f6b · OpenDAS / TransformerEngine

02 Jan, 2025 1 commit
- Update copyright to include 2025 (#1388) · c9ea6be9
  Kirthi Shankar Sivamani authored Jan 02, 2025
```
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
```
  c9ea6be9
10 Jul, 2024 1 commit

Add cuDNN sliding window and set_deterministic_algorithm (#992) · 8e039fdc

Charlene Yang authored Jul 10, 2024



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

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

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

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

* change window_size to int64_t; fix swa/determinism tests; cache _attention_backends
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add window_size to get_backend; fix jax and paddle
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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

* fix FP8 tests due to determinism
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add support matrix for SWA and bias
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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



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

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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



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

* add wording on window_size special cases
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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

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

* call bwd with deterministic=true for jax/paddle
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add determinism words in documentation
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

---------
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

8e039fdc

14 Jun, 2024 1 commit

Apply formatting (#929) · 9416519d

Kirthi Shankar Sivamani authored Jun 13, 2024



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

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

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

9416519d

07 Jun, 2024 1 commit

Remove interval arg from recipe (#892) · d75db5f7

Kirthi Shankar Sivamani authored Jun 07, 2024



* Remove interval arg from recipe
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Remove usage of interval and use explicit kwarg for testing recipes
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

d75db5f7

01 May, 2024 1 commit

Handle the scaling factor when amax is too tiny that leads to an infinite scale (#786) · 7acb5e2b

Jinze Xue authored May 01, 2024



* Handle the scaling factor when amax is too tiny that leads to an infinite scale
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* revert formatting changes
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* fix comments
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* Apply review suggestion
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jinze Xue <155670984+jinzex@users.noreply.github.com>

* Apply review suggestion
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jinze Xue <155670984+jinzex@users.noreply.github.com>

* Apply review suggestion
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jinze Xue <155670984+jinzex@users.noreply.github.com>

* apply review suggestion
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* add test_recipe.py to qa/L0_pytorch_unittest/test.sh; fix unittest for is_first_microbatch=False
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

* revert changes to update_weight_scale_inv
Signed-off-by: Jinze Xue <jinzex@nvidia.com>

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

---------
Signed-off-by: Jinze Xue <jinzex@nvidia.com>
Signed-off-by: Jinze Xue <155670984+jinzex@users.noreply.github.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Jinze Xue <jinzex@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Tim Moon <tmoon@nvidia.com>

7acb5e2b

30 Apr, 2024 1 commit
- Avoid amax roll for non-run modules (#825) · a8178684
  Kirthi Shankar Sivamani authored Apr 30, 2024
```
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
```
  a8178684
16 Apr, 2024 1 commit

[C/PyTorch] Add FP8 DPA and MHA (#768) · 83a4c219

cyanguwa authored Apr 15, 2024



* 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>

83a4c219

12 Apr, 2024 2 commits

[PyTorch] Fix kernel_bulk launch config (#775) · b4ef463d
Kirthi Shankar Sivamani authored Apr 12, 2024
```
Fix 0 grid size
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
```
b4ef463d

[PyTorch] cuda graph support (#575) · 73f8d90f

Kirthi Shankar Sivamani authored Apr 12, 2024



* 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>

73f8d90f

08 Feb, 2024 1 commit

Implement fused kernel for FP8 scale update (#593) · a9500617

Tim Moon authored Feb 08, 2024



* Implement fused kernel for FP8 scale update
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add fused kernel for amax and scale update

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

* Replace paddle.fluid imports with paddle.base
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Move fused kernel to core library
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Use FP8 update kernel in Paddle
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Debug FP8 scale update in Paddle
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Debug Paddle test failures
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Make update kernel in-place for PyTorch
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Revert cudnn-frontend commit
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>

a9500617