GitLab

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

* Upgrade pylint and first round formatting
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* round 2
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* round 3
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

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

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

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

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

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

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

* Link attention docs to the main docs and fix errors reported by Sphinx
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Lower the version of nbsphinx
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* Change the URL of example_attention.py to GitHub
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* More fixes in the attention tutorial
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

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

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

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

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

[Paddle] Fix forward and backward logic of te.Linear(parallel_mode='column') to adapt DiT of PaddleMIX (#963)

[Paddle] Fix forward and backward of Linear(parallel_mode='column')

When te.Linear(parallel_mode='column') is not used in pairs with te.Linear(parallel_mode='row'), the output should to be all-gathered when forward and reduce-scattered when backward.
Signed-off-by: minyu <minyu@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* NVTE_OVERRIDE_MAX_SEQ_LEN
Signed-off-by: Frank Lin <eee4017@gmail.com>

* small fix
Signed-off-by: Frank Lin <eee4017@gmail.com>

* preserve old amax_and_scale_update_inplace and new amax_and_scale_update_inplace
Signed-off-by: Frank Lin <eee4017@gmail.com>

* remove useless code path; try to simplify logic within the baseline
Signed-off-by: Frank Lin <eee4017@gmail.com>

* simplify logic
Signed-off-by: Frank Lin <eee4017@gmail.com>

* small fix
Signed-off-by: Frank Lin <eee4017@gmail.com>

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

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



* fix comments from Timmoon
Signed-off-by: Frank Lin <eee4017@gmail.com>

* fix comments from Timmoon
Signed-off-by: Frank Lin <eee4017@gmail.com>

* Update transformer_engine/paddle/distributed.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Frank Lin <eee4017@gmail.com>

* diable bw fp8 update
Signed-off-by: Frank Lin <eee4017@gmail.com>

* fix lint
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* fix ci error
Signed-off-by: Frank Lin <eee4017@gmail.com>

---------
Signed-off-by: Frank Lin <eee4017@gmail.com>
Co-authored-by: Frank Lin (Engrg-Hardware 1) <fralin@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

* 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>

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

* support main_grad
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* update main_grad and fuse_wgrad_accumulation
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* fix ci errors
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* minor change
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

---------
Signed-off-by: Shijie Wang <jaywan@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>

* use separate qkv
Signed-off-by: jaywan <jaywan@nvidia.com>

add support for GQA
Signed-off-by: jaywan <jaywan@nvidia.com>

minor changes
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

change rtol
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

fix reshape issue
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

add rmsnorm and rotary position embedding
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

update rmsnorm
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

refactor layernorm and rmsnorm
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

support swiglu
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

add fused rope
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

minor changes
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

add rope api to __init__
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

minor changes
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

fix fp8 dtype issue
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* simplify ut cases
Signed-off-by: jaywan <jaywan@nvidia.com>

* Update transformer_engine/paddle/layer/attention.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Shijie <505749828@qq.com>

* fix name issue
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

---------
Signed-off-by: Shijie Wang <jaywan@nvidia.com>
Signed-off-by: jaywan <jaywan@nvidia.com>
Signed-off-by: Shijie <505749828@qq.com>
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* Replace paddle.fluid imports with paddle.base
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Remove paddle.fluid usage from tests
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* use separate qkv
Signed-off-by: jaywan <jaywan@nvidia.com>

* add support for GQA
Signed-off-by: jaywan <jaywan@nvidia.com>

* minor changes
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* change rtol
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* fix reshape issue
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

---------
Signed-off-by: jaywan <jaywan@nvidia.com>
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* Actively free tensor in bwd
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* - Add inplace support for fp8 casting
- Allow skipping weight update in fp8 meta update
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Support weight caching for Linear
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add weight caching for LayernormLinear
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add weight caching for LayerNormMLP
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add weight caching for Transformer layer
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add PP unittests
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* Fix CI
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

* Add SP for linear
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add SP for LayerNormLinear
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add SP for LayerNormMLP
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add SP API for transformer layer
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add sequence_parallel attr
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add SP unittests for Transformer and Attention
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

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

---------
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Integrate cuDNN frontend v1 to fused attention and miscellaneous fixes
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* fix lint
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* fix jax/pytorch lint
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* 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
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* remove v.contiguous() since get_qkv_layout covers it
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* skip fp8 tests for sm89
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* further fix jax CI
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* fix jax CI
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* revert mask type to comma-separated list
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* fix lint
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* fix last two commits
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* integrate v1/pre-release-5
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* cleanup prerelease5 integration and fix FA2.1 commit
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* force dropout to 0 if not training
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* fix Jax CI
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* testing bias/alibi and padding+causal; add alibi to unfused DPA
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* set flag_arb to false when non determinism is not allowed
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* followup on prev commit; remove redundant python env var setting
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* WIP: minor tweaks for tests
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* prepare for tests
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* fix determinism logic for fused attn
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* add bias to bwd
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* fix gpt_checkpointing/dpa_accuracy problem
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* fix some seg fault issues
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add failure notes
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* remove use of non-deter var for backend selection
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* minor fix for lint and CI
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* fix workspace size in bwd and uncomment bias test
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* fix get_alibi and remove check_support
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* update tests status
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* remove workspace_opt from FADescriptor_v1
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* 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
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* swap bias/rng_state order in aux_ctx_tensor and add bias to aux_ctx_tensor in _qkvpacked/_kvpacked API
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* remove support for padding_causal + cross for max512
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* change alibi bias to float32 for bias_1_4/5 tests
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* further clean up tests
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* fix thd fwd output shape for FlashAttention and add backend info for DPA
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* fix definition of workspace limit when dbias is present
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* further tweak DP_WORKSPACE_LIMIT definition
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* disallow alibi+no_mask for sdpa flash and update alibi tests
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* update jax/paddle after PR525 and fix DP_WORKSPACE_LIMIT for dbias Jax tests
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* disable dbias for non-hopper archs
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* fix layernorm lint
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* remode unused arg for lint
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* remove build dir in setup.py
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* change selection logic to prefer fused attn on sm90
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* fix distributed jax test
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* fix h and s order in header
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* update to cudnn fe v1 branch
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* remove manual setting of workopt path due to dbias after v1 update
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* fix paddle CI
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* add post_scale_bias and alibi to sdpa flash support matrix
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* fix support matrix in header files
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* move headers back to .cu and change seed/offset to int64
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* update Megatron commit in L1 test and remove all prints in fused attn test
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* 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>

* Add async TP comm
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add set CUDA_DEVICE_MAX_CONNECTIONS warning for tp overlap
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

* Deprecate QKV_INTERLEAVED use in JAX
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Deprecate QKV_INTERLEAVED use in Paddle
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Enhance qkv enum mappings
Signed-off-by: rewang <rewang@nvidia.com>

* Fix LD_LIBRARY_PATH issue
Signed-off-by: rewang <rewang@nvidia.com>

* Arbitrary seqlen kernels only support self attention currently
Signed-off-by: rewang <rewang@nvidia.com>

---------
Signed-off-by: Reese Wang <rewang@nvidia.com>
Signed-off-by: rewang <rewang@nvidia.com>

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

* minor fix
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>

* Debug PyTorch and Paddle tests on Ada
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Only run Paddle layer tests with cuDNN fMHA on supported archs
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Reduce JAX FP8 GEMM sizes

Avoid split-k kernels on Ada.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Disable JAX fused self-attention test on Ada
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Run supported fused attention tests on Ada
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Run supported fused attention JAX tests on Ada
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Enable Paddle fused attention on Ada
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Update reference scale calculation in TensorFlow test
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Restore backend support to reference FP8 attention impl in PyT test

Review suggestion from @cyanguwa
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Debug Paddle tests on Ada
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Loosen tolerances for Paddle attention tests
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Assume causal mask implies equal seqlens in Paddle attention tests
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* fix mask conversion and rng_state
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* refactor fused attn
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* use CUB to do prefix sum
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* fuse dropout add
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* minor changes
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* optimize kernel
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

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

---------
Signed-off-by: Shijie Wang <jaywan@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>

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

* Support recompute core attention
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

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

* Improve recompute test
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Improve performance of stack backtrace
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Improve code stype
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

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

* Add control of attention dropout and hidden dropout RNG state
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

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

* [Paddle] Add TP, DP, PP, FSDP
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

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

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

* Improve variable naming
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Refactor FP8 Buffer
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

* Fix FP32 parallel training
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

* Squashed commit of the following:

commit 79e2e5fd774e67dcdda9aae01a9f31a6479c5d70
Author: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>
Date:   Sun Aug 20 14:39:16 2023 +0000

    Add TP test
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

commit 1d40ad60540490f97ed82ba877cc6eda8902cbf6
Author: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>
Date:   Sun Aug 20 14:22:25 2023 +0000

    Fix tp_size when disabled
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

commit 6632f735a0c8251862355fc74622af59fae3a509
Author: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>
Date:   Sun Aug 20 05:52:18 2023 +0000

    Add TP for attention and transformer layer
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add shape check
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add FSDP check for stage 1,2,3
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

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

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

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

---------
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add nn.layer: softmax, attention, transformer
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* code refactor
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* code refactor
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* update docs and set dropout=0.1
Signed-off-by: Shijie Wang <jaywan@nvidia.com>

* Update transformer_engine/paddle/layer/attention.py
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

Refactor fp8 state
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add FP8 support

- Add FP8 recipe
- Add FP8 path for nn layers
- Add MNIST FP8 example
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

* Fix LayerNormMLP FP8 backward
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Fix FP8 training in float32 accumulation
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Fix FP8 checkpointing for non forward execution cases (same as #323)
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Refactors and improvements for better code stype, readability and organization
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Remove unnecassary pylint override
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

* Add Linear layer (FP16)
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

- Add BF16 training example
- Add fp8_autocast (only supports non-fp8 for now)
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Remove FP8 stuff
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Simplify Linear layer forward
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add LayerNorm layer (BF16)
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add LayerNormLinear layer
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Store weights in BF16
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add LayerNormMLP layer
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Add BF16 MNIST example
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Remove in-place cast for compatibility with Paddle AMP mechanism
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

* Add Paddle op as a backend option
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

* Fix dtype change between iterations
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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

* Move forward function out of base layer
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

* Use Paddle nvtx bindings
Signed-off-by: Tian Zheng (Engrg-Hardware 1) <tizheng@nvidia.com>

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