GitLab

Add THD + GQA supports for cuDNN >= 9.6
Signed-off-by: Reese Wang <rewang@nvidia.com>

* 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>

fix seq_dim in CP implementation
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* register CmdBufferCompatible traits via C++ API

* renamed FFI_Traits

* use register_ffi_target()

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

* fix bias for 0-dim tensor
Signed-off-by: Xin Yao <xiny@nvidia.com>

* add check
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* use numel() instead of nullptr
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Fix wgrad for GroupedLinear when weights doesn't require grad
Signed-off-by: Xin Yao <xiny@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

Fix FP8 activation recompute
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* Upgrade pylint and first round formatting
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* round 2
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* round 3
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* Fixes
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* minor tweak
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* add L1 test to test all supported FA versions
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fixed assertion bug for SWA
Signed-off-by: Md Fahim Faysal Khan <mdfahimfaysa@nvidia.com>
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* Build custom ORT ops before running ONNX tests
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Update test to check support for context parallel attention.
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* Let Fused RoPE support THD with CP
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* add comment
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* fa2 function import renaming
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* Fix bug in torch compile and seqdim is integer
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* Update attention.py

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* Annotate fused functions
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* Fixes to Float8Tensor
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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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* Use tuple window_size; update for PR #1212
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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
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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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