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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:
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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: Xiaowei Ren <xren@nvidia.com>

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

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci



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

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

* fix FP8 with A2A implementation
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

* add paper references to CP implementations with all-gather and all-to-all
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

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

* elaborate cp_comm_type
Signed-off-by: Xiaowei Ren <xren@nvidia.com>

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

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Signed-off-by: Xiaowei Ren <xren@nvidia.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

* propagate scale_inv modification to GroupedLinear
Signed-off-by: Xin Yao <xiny@nvidia.com>

* optimization for separate scale_inv of weights and single output
Signed-off-by: Xin Yao <xiny@nvidia.com>

* let grouped gemm support different input combinations
Signed-off-by: Xin Yao <xiny@nvidia.com>

* fix type
Signed-off-by: Xin Yao <xiny@nvidia.com>

* add contiguous check
Signed-off-by: Xin Yao <xiny@nvidia.com>

* use len() instead of isinstance
Signed-off-by: Xin Yao <xiny@nvidia.com>

* fix ut
Signed-off-by: Xin Yao <xiny@nvidia.com>

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Signed-off-by: Xin Yao <xiny@nvidia.com>
Co-authored-by: Kirthi Shankar Sivamani <ksivamani@nvidia.com>

* [TE/PyTorch][MoE] Add FP8 padding and unpadding module 

 1. Add multi-tensor padding kernel for FP8 with padding size = 16.
 2. Add FP8Padding and Fp8Unpadding module
 3. Add Padded GroupedLinear unit tests

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Signed-off-by: beinggod <zhangruibin@01.ai>
Co-authored-by: Phuong Nguyen <36155692+phu0ngng@users.noreply.github.com>