GitLab

add deterministic option
Signed-off-by: Shijie Wang <jaywan@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix build error with Paddle >2.6.1
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* i
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* .
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fix 261 compile
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* add cuDNN swa
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* fix SWA
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* add set_deterministic and minor fixes for swa
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* add AttentionParams
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* change window_size to int64_t; fix swa/determinism tests; cache _attention_backends
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* add window_size to get_backend; fix jax and paddle
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* minor fixes; add set_deter to bwd_impl
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* fix unit tests
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* fix FP8 tests due to determinism
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* add support matrix for SWA and bias
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* minor fixes and lint
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* minor fixes
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* add wording on window_size special cases
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* minor tweak on wording
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* fix jax assertion error
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* fix wording
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* call bwd with deterministic=true for jax/paddle
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* add determinism words in documentation
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* NVTE_OVERRIDE_MAX_SEQ_LEN
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* small fix
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* preserve old amax_and_scale_update_inplace and new amax_and_scale_update_inplace
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* remove useless code path; try to simplify logic within the baseline
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* simplify logic
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* small fix
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* fix comments from Timmoon
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* fix comments from Timmoon
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* Update transformer_engine/paddle/distributed.py
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* diable bw fp8 update
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* fix lint
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* fix ci error
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* simplify offset tensors
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* minor fixes; tests pass
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* fix C lint
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* replace with_offset with with_padding
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* replace with_padding with padded
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* minor fixes after merge
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* minor fix for fused attn fwd/bwd calls
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* fix Jax
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* adjust spacing in docstring
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* fix pytorch tests; fix paddle api
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* fix lint
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* fix attn_biases
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* fix AttnFuncWithCP backward
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* fix jax
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* fix attn with CP
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* fix paddle
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* Apply formatting
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* Apply formatting
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* add THD support
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* add seq_offsets_o and use new offset calculation
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* addition to previous commit; fix unit test
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* add None for offset_o gradient
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* fix lint
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* WIP: test padding between sequences
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* WIP: fix tests for padding between sequences
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* fix tests for sbhd/bshd layouts; clean up
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* update cudnn-frontend and add tests for max_seqlen_q=1 and d=256 for inference
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* test sbhd/bshd layouts for sq1, d256 inference case
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* fix lint
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* replace wording from accumulative to cumulative
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* add offset tensors to custom fp8 mha tests
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* add version control for cuDNN
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* add sm>=90 constraint for thd support
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* fix cuDNN support for sq=1, d=256
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* fix lint and minor tweak for fp8 tests
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* modify cudnn version and restrict MQA/GQA support for THD
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* add notes for seq offset tensors
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* add dummy tensor to pass jax build
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* add dummy tensor to pass paddle build
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* fix Jax CI
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* use separate qkv
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add support for GQA
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minor changes
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change rtol
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fix reshape issue
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add rmsnorm and rotary position embedding
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update rmsnorm
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refactor layernorm and rmsnorm
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support swiglu
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add fused rope
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minor changes
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add rope api to __init__
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minor changes
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fix fp8 dtype issue
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* simplify ut cases
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* Update transformer_engine/paddle/layer/attention.py
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* fix name issue
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* Implement fused kernel for FP8 scale update
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* Add fused kernel for amax and scale update

Add unit test.
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* Replace paddle.fluid imports with paddle.base
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* Move fused kernel to core library
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* Debug test
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* Use FP8 update kernel in Paddle
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* Debug FP8 scale update in Paddle
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* Fix lint errors
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* Debug Paddle test failures
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* Make update kernel in-place for PyTorch
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* Revert cudnn-frontend commit
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* use separate qkv
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* add support for GQA
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* minor changes
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* change rtol
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* fix reshape issue
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* Actively free tensor in bwd
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* - Add inplace support for fp8 casting
- Allow skipping weight update in fp8 meta update
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* Support weight caching for Linear
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* Add weight caching for LayernormLinear
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* Add weight caching for LayerNormMLP
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* Add weight caching for Transformer layer
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* Add PP unittests
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* Fix CI
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* Add SP for linear
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* Add SP for LayerNormLinear
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* Add SP API for transformer layer
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* Add sequence_parallel attr
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* Add SP unittests for Transformer and Attention
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* Fix compatibility with PaddleNLP
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* Copyright
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* fix cudnn FA softmax shape
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* set inplace rng_state
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* Deprecate QKV_INTERLEAVED use in JAX
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* Deprecate QKV_INTERLEAVED use in Paddle
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* Enhance qkv enum mappings
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* Fix LD_LIBRARY_PATH issue
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* Arbitrary seqlen kernels only support self attention currently
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* Do not include logging macros in installed C headers
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* Debug logging macros
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* Debug C++ tests

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* Update CUDA driver macros

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* Use core error checking macros in PyTorch extensions

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* Fix missing arg when getting CUDA driver error string
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* Reuse logging header in frameworks
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* fix mask conversion and rng_state
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* refactor fused attn
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* use CUB to do prefix sum
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* fuse dropout add
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* minor changes
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* optimize kernel
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* Debug merge errors
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* fix formula
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* Eliminate amax_and_scale_update bubbles
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* Add CUDA check
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* Add FP8 support

- Add FP8 recipe
- Add FP8 path for nn layers
- Add MNIST FP8 example
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* Update README
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* Fix LayerNormMLP FP8 backward
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* Fix FP8 training in float32 accumulation
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* Fix FP8 checkpointing for non forward execution cases (same as #323)
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* Refactors and improvements for better code stype, readability and organization
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* Remove unnecassary pylint override
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* update flash attn
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* fix random seed
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* add more ops
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* add skipif
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* fix bug
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* minor change
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* minor change on coding style
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* Add cast_transpose

Add gelu, gelu_fp8

Add cast_transpose_bgrad_dgelu

Add layernorm_fwd and layernorm_fwd_fp8

Add layernorm_bwd
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* Fix missing header
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* First step of PaddlePaddle integration
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* Support paddle build
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* Minor fixes
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Fix pylint "wrong-import-order" warning
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Fix review comments
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Skip BF16 GEMM tests for unsupported arch
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

---------
Signed-off-by: Tian Zheng <tizheng@nvidia.com>
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>