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Consolidate FFI and old descriptor impleemntation for fused attention.
Signed-off-by: Michael Goldfarb <mgoldfarb@nvidia.com>
Co-authored-by: Phuong Nguyen <36155692+phu0ngng@users.noreply.github.com>

[JAX] XLA Custom Calls with FFI for FusedAttnFwd, Quantize, Transpose, ActLuFP8, LayerNormForwardFP8FFI, and LayerNormBackwardFFI (#1263)

* Add TransposeFFI, test passed
Signed-off-by: Hua Huang <huah@nvidia.com>

* Add ActLuFP8FFI; fix TransposeFFI
Signed-off-by: Hua Huang <huah@nvidia.com>

* Add QuantizeFFI
Signed-off-by: Hua Huang <huah@nvidia.com>

* Add FusedAttnForwardFFI and some unit tests
Signed-off-by: Hua Huang <huah@nvidia.com>

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* Minor fix
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* Add LayerNormForwardFP8FFI & LayerNormBackwardFFI
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* Revise FusedAttnForwardFFI()
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* Add FFI_CudaGraph_Traits

All tests passed, ready for merge
Signed-off-by: Hua Huang <huah@nvidia.com>

* Bug fix for FFI data type mismatch

Also add a safeguard on the entrance to FFI function
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* Use 64-bit offsets for cuDNN 9.5+
* Align workspace tensors to 16B.
* Fix bug where std::accumulate overflowed on large tensor shapes.
* Only support 64-bit offsets on arbitrary sequence length fp16 backend.
Signed-off-by: Michael Goldfarb <mgoldfarb@nvidia.com>

* register CmdBufferCompatible traits via C++ API

* renamed FFI_Traits

* use register_ffi_target()

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* Expose JAX sliding window attn API
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* No SWA in context parallel; fix RNG seed in test
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* Handle SAW API discrepancy in cuDNN and Python
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* Add SAW API for flax, all tests passed

Will update tests/jax/test_praxis_layers.py next
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* Update test_praxis_layers.py for SWA, test passed
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* Use tuple window_size; update for PR #1212
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* Add and adjust some pytest.skip
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* Revised following Reese Wang's comments

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:

These errors does not exist in the previous commit
Signed-off-by: Hua Huang <huah@nvidia.com>

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* Fix no-SWA test case errors in previous commit
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* Add Padding mask w/ sliding windows sanity tests
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* Use float32 for the reference code softmax calculation
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Implementation of context parallel fused attention using all-gather.
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* Propagate sm_margin to the underly layernorm kernels

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* implemented custom call with ffi in csrc

* moved headers of misc to misc.h, add ffi.h

* ActLu and DActLu lowering with ffi_lowering

* CastTranspose with ffi_lowering

* enabled cudaGraph

* added 4d input test case to TestActivationLu

* added operand_output_aliases for CastTranspose

* added env var NVTE_JAX_WITH_FFI, default value = 1

* replace casting ActivationEnum by taking its value

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* Support non-deterministic algo
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* Refine the helper function name
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* Move fixture to conftest.py
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* Add runtime_segment < max_segment tests
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