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* TE primitive checkpointing policies
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* Remove batched gemm policy
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[JAX] Fixing GemmPrimitive partitioning rules to handle tensor-parallelism correctly for sequence-parallel inputs (#1980)

* updated GemmPrimitive partitioning rules to explicitly control all-reduce vs. reduce-scatter for sequence-parallelism
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* corrected handling of FSDP sharding for the RHS operand
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* use correct logical axes variable to identify sequence-parallel dim in LayerNormDenseGeneral
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* fixed linting issues
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* MXFP8 issue traced to scale factor padding with NaNs instead of zeros
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linting fixes
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* moved reshape of encoder output in encoder examples to make custom partitioning rules work correctly
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* added helper functions for padding and unpadding block scales, changed GemmPrimitive to accept unpadded scales and pad them after sharding
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Still need further debugging:
FAILED test_fused_attn.py::TestFusedAttn::test_backward[NO_SWA-DROP_0.0-4-128-256-16-16-64-BF16-CROSS-KV_PACKED-NO_MASK-NO_BIAS] - AssertionError:
FAILED test_fused_attn.py::TestFusedAttn::test_backward[NO_SWA-DROP_0.0-4-128-256-16-16-64-BF16-CROSS-KV_PACKED-NO_MASK-POST_SCALE_BIAS-1HSS] - AssertionError:
FAILED test_fused_attn.py::TestFusedAttn::test_backward[NO_SWA-DROP_0.0-4-128-256-16-16-64-BF16-CROSS-SEPARATE-NO_MASK-NO_BIAS] - AssertionError:
FAILED test_fused_attn.py::TestFusedAttn::test_backward[NO_SWA-DROP_0.0-4-128-256-16-16-64-BF16-CROSS-SEPARATE-NO_MASK-POST_SCALE_BIAS-1HSS] - AssertionError:

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

* Splitted cpp_extensions.py, renamed mlp.py and fused_attn.py
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* fixed import in tests
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Reformat FP8 Meta

1. Reformat FP8 meta to be one-set-per-tensor.
2. Remove fp8_max and scale_inv.
3. Remove unused functions in fp8.py
Signed-off-by: Ming Huang <mingh@nvidia.com>

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

* Remove ShardingType and MajorShardingType
Signed-off-by: Ming Huang <mingh@nvidia.com>

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

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

* Rename few variables.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Add jit to update_amax_list
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Fixed naming error in LayernormMLP
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Fixed bugs in test_distributed_layernorm_mlp.py
Signed-off-by: Ming Huang <mingh@nvidia.com>

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

- Made order of gated act consistent in all branches
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Fixed the shape mismatching issue in MLP.
Signed-off-by: Ming Huang <mingh@nvidia.com>

* Add a corresponding test
Signed-off-by: Ming Huang <mingh@nvidia.com>

---------
Signed-off-by: Ming Huang <mingh@nvidia.com>
Co-authored-by: Phuong Nguyen <36155692+phu0ngng@users.noreply.github.com>

* renamed gelu to act

* added relu, srelu, qgelu

* fixes initialization for layernorm_fp8_mlp tests

* moved activation_fp8 prim into testunit file

* Moved NVTE_Activation_Enum to common/.../activation.h

---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* templated primitives and respective C++ functions
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* fixes for LayerNormMLP, tests in test_custom_compute all passed
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* added default arg for pybind get_workspace_size funcs
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* fixes for TestTransFormer with non-gated act tests
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* renamed gelu to act
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* improved enum implementation, avoid using magic numbers
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Exposed C++ ActivationEnum to python side
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Changed error messages
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* changed conditional check on input shape for dbias_cast_transpose
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* changed dtype (tol) for bias grad tests
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* fixes so that layer_norm_fp8_mlp can take bias = None
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Set bias = None in flax modules
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

---------
Signed-off-by: Phuong Nguyen <phuonguyen@nvidia.com>

* Add layernorm_fp8_dot unit test
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Update the softmax primitives support conditions
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add tests for the softmax primitives
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Round1 refactor of test_layer
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Split dropout arguments of ref code and add hidden/intermediate dropout elementwise comparison
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add dropout_braodcast_dim, self_attn_mask tests and clean a few code
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Abstract test layer and fix a rope reference code diff
Signed-off-by: Reese Wang <rewang@nvidia.com>

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

* Add epsilon and float32 tests
Signed-off-by: Reese Wang <rewang@nvidia.com>

* Add relpos_bias and attention dropout tests
Signed-off-by: Reese Wang <rewang@nvidia.com>

* 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>

* 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>

* 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>

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>