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

* Move common fixtures to conftest.py
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

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

* Fix conflicts of test_layer
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Avoid to left bias parameters in graph when use_bias=False
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

* Support FP8 Meta Dtype (FM32) and Align FP8 Scale Update with PyTorch.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Modify with the feedback of code review
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Hiding FlaxFloatMeta32 inside fp8.py
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Make functions to be JAX tracable objects.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Rebased with mian.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Update jax images for github workflow.
Signed-off-by: Ming Huang <mingh@nvidia.com>

---------
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Implemented swiglu and silu
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Renamed nvte-*silu to nvte-*swish + generalized GetDBiasDact functions
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* combined layernorm_geglu with layernorm_gelu into fused_layernorm
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* fixes to pass all unit tests in test_custom_call_compute.py,
test_layer.py, and test_praxis_layer.py
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* cleaning and formatting
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* renaming based on reviewers suggestions
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* implemented partial fused layernorm
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* geglu + bias passed tests
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* added partial fused calculation for dbias_1
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* clean up
Co-authored-by: Alp Dener <adener@nvidia.com>
Signed-off-by: Phuong Nguyen <36155692+phu0ngng@users.noreply.github.com>

---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>
Signed-off-by: Phuong Nguyen <36155692+phu0ngng@users.noreply.github.com>
Co-authored-by: Alp Dener <adener@nvidia.com>

* Allow multi-dims for dgamma and dbeta in LN descriptor.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Fix the jit error in examples/jax
Signed-off-by: Ming Huang <mingh@nvidia.com>

---------
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Remove unused headers
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Unify the fused attn workspace size cpp code
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Reduce the skipped cases
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Rename self/cross attention to qkvpacked/kvpacked
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Update attention mask docs
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

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

* disallow sharding of layernorm learnable parameters; force duplication
Signed-off-by: Keshav <keshavb@nvidia.com>

* fix tests and support tensors for gamma/beta in layernorms
Signed-off-by: Keshav <keshavb@nvidia.com>

* reverting
Signed-off-by: Keshav <keshavb@nvidia.com>

* added tests for rank-1 gamma/beta sharding
Signed-off-by: Keshav <keshavb@nvidia.com>

* fix lint errors
Signed-off-by: Keshav <keshavb@nvidia.com>

---------
Signed-off-by: Keshav <keshavb@nvidia.com>

Bias and seed can both be None, type checking is failed otherwise.
Signed-off-by: George Karpenkov <george@metaworld.me>

* added support for arbitrary bias shapes for fused_attn
Signed-off-by: Alp Dener <adener@nvidia.com>

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

* Add b1ss/bhss/11ss bias shapes when not requiring dBias
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

* add bias_b/h to plan cache
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fixed compile errors after PR653 merge
Signed-off-by: Alp Dener <adener@nvidia.com>

* updated JAX unittests for new bias shapes
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed mismatched mask type checking
Signed-off-by: Alp Dener <adener@nvidia.com>

* corrected skip condition
Signed-off-by: Alp Dener <adener@nvidia.com>

* fix selection logic for A100s
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* corrected skip checks for bias shapes
Signed-off-by: Alp Dener <adener@nvidia.com>

* resolved test issues but neginf with float16 is still problematic with JAX
Signed-off-by: Alp Dener <adener@nvidia.com>

* new bias shapes passing TE JAX CI for seqlen <= 512, seq_q == seq_kv and h_q == h_kv conditions
Signed-off-by: Alp Dener <adener@nvidia.com>

* TE/JAX fused attn tests for new bias shapes passing with neg_inf=-2**27 for Bfloat16 and -2**15 for Float16
Signed-off-by: Alp Dener <adener@nvidia.com>

* code style fixes and test parameter ID cleanup
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed incorrect skip condition for backward fused attn test
Signed-off-by: Alp Dener <adener@nvidia.com>

---------
Signed-off-by: Alp Dener <adener@nvidia.com>
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
Co-authored-by: Alp Dener <adener@nvidia.com>

* Softmax now forces XLA to unshard the hidden dimension with a warning. Unittests updated to check for numerics and warning with bad sharding
Signed-off-by: Alp Dener <adener@nvidia.com>

* correcting cudnn-frontend version
Signed-off-by: Alp Dener <adener@nvidia.com>

* fixed mismatched output sharding
Signed-off-by: Alp Dener <adener@nvidia.com>

* combined softmax tests and fixed code style/linting issues
Signed-off-by: Alp Dener <adener@nvidia.com>

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

Support various implementations of RoPE and fix a coordinate representation bug
Signed-off-by: Ming Huang <mingh@nvidia.com>

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

* Reuse func from the flax
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

* qkv packed draft
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Fix test_layer with fused attn
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add attn_bias_type and enhance a few code flow
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Move scale_factor from __call__ to init
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

* Add DPA public API and tests
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

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

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

* Add qkv separate fused attn
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Apply BSHD_BSHD_BSHD format
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Remove debug log
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

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

* Fine-grained fused attn settings
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Remove the default value of num_attetnion_head and head_dim
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add teardown for fused attn env
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Unify the Optional notation
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Fix Pre/Post scale bias comments
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

* Add checkpoint_name for fused attn
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Fix the fused attn batcher
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

* Adding support of sequence parallelism
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Adding RoPE
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Fix wrong batch_logical_axes
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Rnaming FSDP outer env var
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Poring RoPE to Praxis layers.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Porting GeLU + [FP8 Cast].
Signed-off-by: Ming Huang <mingh@nvidia.com>

* WAR to make XLA successfully match FP8 GEMM on FFN1 with GeLU.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Allowing arbitrary dimension of NVShape for the workspace allocation
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Adding checkpoint_name to fused functions of mlp.py to get better perf with nn.scan.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Modify with review feedback.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Fix bugs
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Fix typo.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Fixed for lint
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Follow review feedback to modify code.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Fix typo.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Port SP to Praxis
Signed-off-by: Ming-Xu Huang <mingh@nvidia.com>

* Fix an issue when enabling both GQA and RoPE.
Signed-off-by: Ming-Xu Huang <mingh@nvidia.com>

* Update docs
Signed-off-by: Ming-Xu Huang <mingh@nvidia.com>

---------
Signed-off-by: Ming Huang <mingh@nvidia.com>
Signed-off-by: Ming-Xu Huang <mingh@nvidia.com>