GitLab

* 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>

* Support num_gqa_groups arguments
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add GQA support on the JAX bridge code
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Fix the kv stride of the arbitrary backend
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Complete rewrite fused attention tests and add GQA coverage
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Support unfused GQA
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Calculate seqlen before the primitive for the better perf
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add GQA layer tests
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Apply code style checks for te_jax
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Apply code style checks for tests
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add num_gqa_groups doc
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Refine the qkv_type
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Correct the variable naming
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Handle Max512 CAUSAL
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add WAR for the latest jax image
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

* try to use cuDNN fused attention for context parallelism
Signed-off-by: xren <xren@nvidia.com>

* assert CP is only supported with NVTE_F16_arbitrary_seqlen
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* port fused attn api to context parallelism
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* add one more assert
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* assert CP does not support padded tokens
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* add qkv_format into CP implementation
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* remove qkv_format from CP function
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix qkv_for,at
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* fix bwd error with FA v2
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* make cp implementation support non-causal masking
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* bug fix
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* remove redundant asserts for CP
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* minor assert information change
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* assert core attn bias has not been supported with CP yet
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* make CP work with window_sizes of [-1, -1] and [-1, 0]
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* add draft code for fa test with cp
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* move fused attn test to a specific folder
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* add assert_close to flash attn cp test
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* add more tests for CP
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* add optional arguments for FA v2.4+
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* minor change
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* add skip condition for CP test
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* class and function naming fix
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* docstring fix
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* do not use fused attn if backend does not work with CP
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* create a separate folder for CP test as it needs multi-GPUs
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* add attn_mask_type check in attn_forwrad_func_with_cp
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* code format fix
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

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

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

* Remove assertion for NO_MASK
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Fix JAX distributed unit tests name
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

[JAX] Regression tests for custom ops sharding with both xmap and custom_partitioning.

Coverage:
- layernorm: fwd/grad, zero_centered_gamma, DP, TP_COL, DP_TP_COL
- rmsnorm: fwd/grad, DP, TP_COL, DP_TP_COL
- softmax: fwd/grad, SCALED, SCALED_MASKED, SCALED_UPPER_TRIANG_MASKED, DP, TP_COL, TP_ROW, DP_TP_COL, DP_TP_ROW
- self_fused_attn: fwd/grad, NO_BIAS, PRE_SCALE_BIAS, POST_SCALE_BIAS, NO_MASK, CAUSAL_MASK, PADDING_MASK, DP, TP_COL, DP_TP_COL
- cross_fused_attn: fwd/grad, NO_BIAS, NO_MASK, PADDING_MASK, DP, TP_COL, DP_TP_COL
Signed-off-by: Alp Dener <adener@nvidia.com>

* Experimental FP8 tensor
Co-authored-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: Sudhakar Singh <sudhakars@nvidia.com>
Co-authored-by: Przemyslaw Tredak <ptrendx@gmail.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add fp8 tensor to ci test
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* Default to FP8 usage
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

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

* Debug transpose caching

Handle case where transpose cache is updated externally.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Rename FP8GlobalStateManager.with_fp8_parameters
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* remove Float8Tensor from import API
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Avoid caching FP8 transposes if not required
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix import error in FP8 tensor tests
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Fix tranpose caching and checkpointing bug
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Improve caching and fix distopt case
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Update transformer_engine/pytorch/float8_tensor.py
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>

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

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

* Store FP8 attributes in dict

Easier for multiple tensors to share, e.g. detached tensors.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Make sure scale_inv is 1D tensor
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Make sure scale_inv is 1D tensor
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

* Set default fp8 data type
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@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>
Co-authored-by: Sudhakar Singh <sudhakars@nvidia.com>
Co-authored-by: Przemyslaw Tredak <ptrendx@gmail.com>

Inherit the existing XLA_FLAGS
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

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

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

* add support for flexible qkv layout
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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

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

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

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

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

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

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

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

* sb3hd/bs3hd working on top of 3xsbhd/bshd/thd
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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

* remove qkvso_strides on torch side; cover it in generateQKVStrides
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* all 15 layouts pass
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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

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

* add note to deprecate some qkv layouts
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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

* remove a couple more comments
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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

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

* fix onnx for core attn; not fixed
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove nvtx and add env var for workspace opt
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove testing for env var
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* replace zeros/zeros_like with empty/empty_like
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix nvtx marker name for _q_k_v API
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove sm80 when compiling for h100
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add mapping from qkv layout to layout group and qkv format
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* clean up enums mapping and remove trailing spaces
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* simplify workspace opt control logic; only need env var
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix fp8 test, and minor modifications for other tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* avoid overwriting model configs in unit test
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* random fixes/improvements: get_qkv_format/etc, default values, docstrings, comments
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

* change workspace opt logic back to FORCE_WORKSPACE_OPT
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix FP8 tests and generateStrides function
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix get_backend logic for max512/arbitrary
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

* clean up unit tests for layouts, and fix minor lint issue
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* minor tweaks for CI testing: onnx string issue and test fused attn first
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove one unsupported layout from max512 and add a check to qkvpacked API
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix te layer test; reduce test time
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* revert compiler option changes; add back sm80 for even h100
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove some unit tests or make them optional to reduce CI time
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

* remove _q_k_v in naming and add NVTE_ERROR for FP8 Aux_CTX_Tensors size checks
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

* remove temp tests from last commit
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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

* remove redundant contiguous()
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* remove thd->bs3hd user warning to avoid GPU sync
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* adjust fused attn bs in tests
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* temporary fix for onnx issue; more fixes in PR 437
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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

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

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

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

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

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

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

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

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

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

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

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

* get default file name with time
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* Save full global state
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

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

* add support for multi-query/grouped-query attention
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

* revert to flash-attn 1.0.6 and build 2.0.0.post1 manually in CI
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add keyword name for DPA input
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

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

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

* Update tests/pytorch/test_fused_attn.py
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix TP and SP case
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* remove higher limit for flash-attn version
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>

* 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>

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

* Disable TorchDynamo optimizations in PyTorch modules
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add test for Torch Dynamo
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add torch.dynamo test to qa
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Skip torch.compile test for <v2.0
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Enable fused attention dropout
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Cast the uint32 key/counter to int64
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Update dropout support in fused attention docs
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Revise devPtrCuSeqlen* to align the naming
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Support different Jax PRNG impls
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Revert CastAsync since it is not used
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Implement is_training for 16-bit fused attn
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add fused attn with dropout sanity unit tests
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Enhance the comments readability and rng_state checker
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Change the attention dropout shape to align other frameworks
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Make encoder tests deterministic
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Change the default seed for the jax encoder tests
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Maintain offset in TE
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Enhance the resource safety
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Revert rng_state type to allow only i64
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Handle the corner case for elts_per_threads calculation
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Populate rng state by kernels
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Rename rng_state as seed in cpp_extensions
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Update the attention dropout comment
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

* Use torch.compile for version 2.0 and higher
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* Use NVFuser for dropout fusions
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* First step of PaddlePaddle integration
- Add build option for paddle
- Add basic test framework
- Add 3 basic operators: cast_from_fp8, cast_to_fp8, gemm
Signed-off-by: Tian Zheng <tizheng@nvidia.com>
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>

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

* Add paddle build support for new building framework
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>

* Clean up build process for Paddle stub file
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* 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>

* add mp example
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* update doc-string
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* better FP8 checker
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* update readme
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* replace te.* with te.flax* to remove deprecated warning
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* remove nouse os.environ
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* remove nouse
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix typo
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update examples/jax/encoder/README.md
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update examples/jax/encoder/README.md
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update examples/jax/encoder/README.md
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update examples/jax/encoder/README.md
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update examples/jax/encoder/test_multiprocessing_encoder.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* remove cuda-python
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* adjust readme
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update examples/jax/encoder/README.md
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix cpp lint

fix issue of "Could not find a newline character at the end of the file."
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix AssertionError: 1 GPU per process
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* replace tfds with datasets

The Flax application crash if it use TensorFlow Dataset (tfds) in NVIDIA JAX container.
The tfds is very useful for downloading well-knwon dataset (e.g., MNIST, GLUE) and commonly used by TF/JAX community.
However, it seems like that it is NOT compatible with NVIDIA TensorFlow in NVIDIA JAX container and somehow affects JAX.
It triggers random errors at JAX initialization depending on different versions, and make CI unstable.
Thus, this commit replaces tfds with "huggingface datasets" to download needed datasets.
See "nvbugs 4039266" for more details.
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix input sharding

Unlike SPMD mode, in multiprocessing mode, the input tensor must be sharded manually.
Using DP=4, TP=2 as an example, the device mesh looks like:

mesh.device_ids = [[0, 1],
                   [2, 3],
                   [4, 5],
                   [6, 7]]

Assume that the process ID is mapped to GPU ID.
The process 0 and process 1 are grouped for model parallelism,
process 2 and process 3 are grouped together too, and so on.

The process 0 and process 1 need to share the same micro-batch in the training step,
process 0 and process 2, 4, and 6 have different micro-batch.

Thus, `shard_array_wrapper` partitions inputs to 4 parts (and setup
needed arguments for jax.make_array_from_single_device_arrays).
The process 0 and process 1 take the first quarter,
process 2 and process 3 take the second quarter, and so on.
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor UT for multiprocess example

Use Python `multiprocessing` to test the multiprocessing example,
if the system has multiple GPU. 1 GPU per process.

Because `jax.distributed.initialize` must be called before any other JAX or Flax API,
GPU info cannot be queried by calling jax.local_devices() in TestEncoder.
Thus, `unittest_query_gpu()` forks another process to query number of GPUs and
FP8 capability.
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* remove nouse arg `--num-gpu`

JAX doesn't have an API to setup number of GPU used in SPMD mode.
The only way is to use `CUDA_VISIBLE_DEVICES` for now.
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix typo
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix ut
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* simplify the mask setting
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* increase batch-size for multigpu example

The batch-size 64 is too small to be partitioned for 8xH100.
If batch-size is 64, the GEMM shape is 256x8192x8 per GPU.
The 8 is too small for FP8 GEMM kernel, and
cuBLASLt will throw "Failed to query heuristics".
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix downloading mnist error

To download MNIST via `huggingface datasets`, it requires Pillow.
Otherwise, it throws `An error occurred while generating the
dataset`
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

---------
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>
Signed-off-by: Tim Moon <4406448+timmoon10@users.noreply.github.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>

* Initial refactor; linker error
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix linking issue and make mpi conditional
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Fix TF/JAX build
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Use max SMs at the last RS chunk in pipelined overlap
Co-authored-by: Sangkug Lym <slym@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Make userbuffers support opt-in

Decouple userbuffers from MPI. Refactor MPI handling in build system. Standardize names to "userbuffers".
Signed-off-by: Tim Moon <tmoon@nvidia.com>

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

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

* Port initial changes
Co-authored-by: Sangkug Lym <slym@nvidia.com>
Co-authored-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* readd FA include for PyTorch
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Re-enable sm_70 + cleanup
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* LICENSE, cleanup header
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* 5k -> 173 errors
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* license and fixes in userbuffers-host
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

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

* Turn off default async amax reduction (#148)
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* remove unused code path
Signed-off-by: Sangkug Lym <slym@nvidia.com>

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

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

* Fix gencode flags in setup (#145)

* Fix gencode flags based on cuda version
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* Change overlap config dict error message
Signed-off-by: Sangkug Lym <slym@nvidia.com>

* simplify ub initialization
Signed-off-by: Sangkug Lym <slym@nvidia.com>

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

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

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

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

* fix TE macros in public header
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* compiles with and w/o MPI
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* fixes for python side annotations for conditional compile
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* link gdrAPI only when MPI found
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* load MPI before TE
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add Py side argument checks
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* remove unused code and catch silent failures
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

---------
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Sangkug Lym <slym@nvidia.com>
Co-authored-by: Sangkug Lym <slym@nvidia.com>
Co-authored-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

Signed-off-by: Tal Cherckez <tcherckez@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* refactor JAX examples
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix doc-string
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add dp example
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix params_axes_pspec
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Add model parallel example and refactor
Update readme
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* align code and readme
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* update verification
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add mask
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* num_gpu is configurable
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* update readme
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* update readme
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* solvepylint issue
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* ignore markdown and txt file from license check
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update README.md
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add flax into requirements.txt
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

---------
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Add tensorflow build

Improve build instructions

Fix pybind enum usage

Fix Python_EXECUTABLE cmake var

Move scale_inv calculations to FW
Signed-off-by: Trevor Morris <tmorris@nvidia.com>
Signed-off-by: kaixih <kaixih@nvidia.com>

* Apply clang-format
Signed-off-by: Trevor Morris <tmorris@nvidia.com>
Signed-off-by: kaixih <kaixih@nvidia.com>

* Format python files
Signed-off-by: Trevor Morris <tmorris@nvidia.com>
Signed-off-by: kaixih <kaixih@nvidia.com>

* Add TF build CI
Signed-off-by: Trevor Morris <tmorris@nvidia.com>
Signed-off-by: kaixih <kaixih@nvidia.com>

* Lint checks
Signed-off-by: kaixih <kaixih@nvidia.com>

* Another round of lint checks
Signed-off-by: kaixih <kaixih@nvidia.com>

* Fix TF image tag
Signed-off-by: Trevor Morris <tmorris@nvidia.com>
Signed-off-by: kaixih <kaixih@nvidia.com>

* Use the existing recipe file
Signed-off-by: kaixih <kaixih@nvidia.com>

* Add license claim blocks
Signed-off-by: kaixih <kaixih@nvidia.com>

* Fix a bug about bias dtype conversion
Signed-off-by: kaixih <kaixih@nvidia.com>

* Add mnist example and cleanup old examples
Signed-off-by: kaixih <kaixih@nvidia.com>

* Autopep8 the tests
Signed-off-by: kaixih <kaixih@nvidia.com>

* Autopep8 the examples
Signed-off-by: kaixih <kaixih@nvidia.com>

* Add example in Readme
Signed-off-by: kaixih <kaixih@nvidia.com>

* Add unit tests and linting for TensorFlow
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Add causal mask for non-fused case
Signed-off-by: kaixih <kaixih@nvidia.com>

* Fix the mismatched TF vs TE masks
Signed-off-by: kaixih <kaixih@nvidia.com>

* Addressing CI tests
Signed-off-by: kaixih <kaixih@nvidia.com>

* Run lint test
Signed-off-by: kaixih <kaixih@nvidia.com>

* Add missing import
Signed-off-by: kaixih <kaixih@nvidia.com>

* Skip fp8 tests for pre-Hopper GPUs
Signed-off-by: kaixih <kaixih@nvidia.com>

* Remove non-pytest tests
Signed-off-by: kaixih <kaixih@nvidia.com>

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

---------
Signed-off-by: Trevor Morris <tmorris@nvidia.com>
Signed-off-by: kaixih <kaixih@nvidia.com>
Signed-off-by: Tim Moon <tmoon@nvidia.com>
Co-authored-by: kaixih <kaixih@nvidia.com>
Co-authored-by: Tim Moon <tmoon@nvidia.com>

* add layernorm1p fp8 test
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* combine tests for easy maintenance
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* using torch.autocast for AMP and check grad types
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add test for wgrad accumulation fusion
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Setup numerical tests + SAR
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add test for full activation recompute
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add tests for checkpoint load/store
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* TE vs framework numerical tests
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* add transformer module , unittests and examples
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update tests/jax/test_sharding.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* Update transformer_engine/jax/transformer.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* remove pylint: disable=line-too-long
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* remove pylint: disable=too-many-func-args
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Fix the wrong broadcasting dim to dropout masks when enable transpose_bs.
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Enable 2xACC for WGRAD and DGRAD by default
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* rename LayerNormMlpBlock as LayerNormMLP
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor to avoid line-too-long
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* rename amax_history_size to amax_history_len
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* align dropout mask to TE/PyTorch as default
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* enlarge atol for decoder unittests

Two decoder unittests can pass in old JAX container(e.g., 23.02)
but can't in latest container (devel).

1. The actual(-0.020264) and desired(-0.020386) are very close.
2. The TE kernels are not changed, the diff should come from
   new codegen behavior of XLA.

Thus, it is a common floating-point accumulated error.
Enlarge atol to avoid unittest failures.
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Adding Amax History Support

1. hide amax update in custom_vjp
2. replace amax indexing with roll(using circular buffer)
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* move kernel_init to __post_init__
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor encoder examples
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update transformer_engine/jax/fp8.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* Update transformer_engine/jax/fp8.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* remove envvar regarding 2xACC
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* remove unused import
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

---------
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Ming-Xu Huang <mingh@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Separate linting passes for different frameworks
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* add building workflow for jax modules
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* replace bit_cast with reinterpret_cast
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add nvtx to cmake check list
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor layernorm fwd
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor rmsnorm fwd
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor layernorm_bwd
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* set pytorch as default in setup.py
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* rename extension from *.cc to *.cpp

cpplint cannot recognize *.cc file, so rename the extension
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor style, to align TE/PyTorch
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add pybinding, unittest and qa
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix license
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* disable c-extension-no-member and no-name-in-module
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add dataclass avoid pylint error
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update transformer_engine/__init__.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* Update tests/jax/test_custom_call_shape.py

fix typo
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* Update tests/jax/test_custom_call_shape.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* add building workflow for jax modules
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* replace bit_cast with reinterpret_cast
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add nvtx to cmake check list
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor layernorm fwd
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor rmsnorm fwd
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor layernorm_bwd
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* set pytorch as default in setup.py
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* rename extension from *.cc to *.cpp

cpplint cannot recognize *.cc file, so rename the extension
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* refactor style, to align TE/PyTorch
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add pybinding, unittest and qa
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix license
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* disable c-extension-no-member and no-name-in-module
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add dataclass avoid pylint error
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update transformer_engine/__init__.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* Update tests/jax/test_custom_call_shape.py

fix typo
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* Update tests/jax/test_custom_call_shape.py
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* fix conflict due to PR62
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* fix c-extension-no-member and no-name-in-module

1. add transformer_engine_jax into extension-pkg-whitelist
2. convert pylintrc from CRLF to LF format
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* Update setup.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>

* remove pylint:disable and refactor import order
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

---------
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>
Signed-off-by: Jeng Bai-Cheng <jeng1220@users.noreply.github.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* move TE/PyTorch UT to tests/pytorch

1. move tests/* files to tests/pytorch/
2. adjust UT paths in qa/L0_unittest/test.sh
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* update build.yml
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

---------
Signed-off-by: Ryan Jeng <rjeng@nvidia.com>

* add flash attention to TransformerLayer
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* Add docs for FP8 calibration (#61)
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* Fix the integer overflow in fused softmax (#60)
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* prefix flash attn env var with NVTE_
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* Address steady memory increase and bloated checkpoints (#63)
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix env var logic
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix flash attn env var logic again
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* remove d2d copies (#64)

* remove d2d copies
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* Increase number of FP8 tensors per GEMM (#22)

* Increase number of FP8 tensors per GEMM
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Enable FP8 output tensor for fp8_gemm
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* [BERT FP8] Initial TE review comments
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Temporary fix for cuda graph non convergence
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Address review comments-2
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Review comments-3
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Cleanup
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Change for New API
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Remove unnecessary clone for D_scale, D_amax
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Avoid Roll for AMAX history size = 1
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Update onnx_te_gemm API
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

* Fix Lint errors
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>

---------
Signed-off-by: Vasudevan Rengasamy <vrengasamy@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* Bug fixes from PR 22 (#65)

* Bug fixes from PR 22
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add FP8 tests to ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* bundle unittests for ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* replace rearrange with transpose
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* QKV parameters unfused path fixes and optimization (#66)

* Bug fixes from PR 22
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add FP8 tests to ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Better QKV parameter fusion
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* keep original param for unfused case to retain externally set attrs
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

* No need to set data pointers
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Assert memory loc in NoopCat
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Handle case of different memory in param and buffer
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Reassign params memory to avoid more concats
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Fix gradients when using AMP (#70)

retain grad related attrs while casting
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Charlene Yang <charleney@nvidia.com>

* fix pylint violations 

fixed pyline violations such as trailing white spaces and too long lines 
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>

* fix pylint violation on line 264 with R1719
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>

* fix two more pylint violations
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>

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

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

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

* check for correct flash-attn version
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* lint+build fixes, correct settings for default flash-attn
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

* fix onnx and disable flash-attn export test
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* cleanup internal API; rm duplication
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* only install TE wheel (exclude flash-attn to rm conflicts)
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* forgot to change install wheel path
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

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

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

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

* review comments and fixes to selective checkpointing
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

---------
Signed-off-by: Charlene Yang <charleney@nvidia.com>
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: cyanguwa <cyang.uwa@gmail.com>
Co-authored-by: Charlene Yang <charleney@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Bug fixes from PR 22
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add FP8 tests to ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* bundle unittests for ci
Signed-off-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

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

* Add ONNX export support for TE modules (#1)

* Add TorchScript Operators
* Add symbolic methods to ONNX exporter
* Add tests for the ONNX export
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fixes for pylint tests
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix pylint warning in softmax.py
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* move FP8 ORT lib inside tests/
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* enable cross attention tests
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* refactor code by @nzmora
* Increase layernorm FP16 threshold
* Normalize onnx file names: _ separates configs; - separates words in a single config
* Add get_attn_mask_str and fix mask string
* Add missing ONNX files
* Moved generated ONNX files to tests/gen_onnx_models/
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix merge conflict changes
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix Q/DQ scale input
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* enable FP16 config when bias is disabled
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix pylint check errors
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* updates
1. remove List import for pylint failure
2. address comments: remove state tensors from GPU
3. address comments: Update reverse_map_dtype function and add to namespace
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* minor fix: coding guidelines
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* changes:
1. skip FP8 tests on  non-hopper devices
2. minor fix for C++ lint check
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* fix onnxruntime version
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* minor fix: add space between code and comment
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* changes
1. update copyrights
2. update path to ORT .so
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>

* Apply suggestions from code review
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: asfiyab-nvidia <117682710+asfiyab-nvidia@users.noreply.github.com>
Signed-off-by: Asfiya Baig <asfiyab@nvidia.com>
Signed-off-by: asfiyab-nvidia <117682710+asfiyab-nvidia@users.noreply.github.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* Add NVTX to TE modules
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

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

* Fix NVTX in _prepare_backward
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Add NVTX to C API
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Fix cpplint and link nvToolsExt
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Add NVTX to GeGlu
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

* Use -O2 for the test_operator
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Increase test parallelism
Signed-off-by: Reese Wang <rewang@nvidia.com>
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

* Add pylint to Lint action
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Test Ubuntu 20.04
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Pylint inside the container
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

* Update transformer_engine/pytorch/distributed.py
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>
Signed-off-by: Przemyslaw Tredak <ptrendx@gmail.com>
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Przemyslaw Tredak <ptrendx@gmail.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Add lint test as GitHub action
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>
Signed-off-by: Przemek Tredak <ptredak@nvidia.com>