GitLab

Signed-off-by: Wuyufan <Wuyf1@sugon.com>
解决了如下问题：
1. FA 48个单测报错问题（fA输入:[B,S,H,D] reshape to [blocknums,blocksize,H,D]）.
2. 在解决FA 报错的时候一个kernel launch error.
3. norm_mlp问题暂时用rest_rng_state解决

See merge request dcutoolkit/deeplearing/TransformerEngine!77
Co-authored-by: Tangao <2205747538@qq.com>
Co-authored-by: wuyufffan <1095978552@qq.com>

Signed-off-by: wenjh <wenjh@sugon.com>

Signed-off-by: zhaochao <zhaochao1@sugon.com>

Signed-off-by: zhaochao <zhaochao1@sugon.com>

Signed-off-by: zhaochao <zhaochao1@sugon.com>

Signed-off-by: zhaochao <zhaochao1@sugon.com>

Signed-off-by: zhaochao <zhaochao1@sugon.com>

Signed-off-by: zhaochao <zhaochao1@sugon.com>

Signed-off-by: Tangao <2205747538@qq.com>

Signed-off-by: Tangao <2205747538@qq.com>

* Make sure to set usages for linear op quantizers before forward
Signed-off-by: Tim Moon <tmoon@nvidia.com>

* Avoid unsupported case for fused dbias+quantize kernel

Hopper does not support dbias + FP8 cast without FP8 transpose.
Signed-off-by: Tim Moon <tmoon@nvidia.com>

---------
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* debug existing usage
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* fix fp8_dpa
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* reimplement fp8_dpa
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

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

* more clean up
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* update FE develop
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* redesign CS; need cleanup
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* clean up
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* clean up s/dP quantizers
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>

* return dP to DS
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* improve quantizer_helper; tweak dP DS/CS logic
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* debug CP
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* update FE commit
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* clean up non-CP; debug dq/dk mismatches
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* minor success with CP; need to remove debug info
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* remove debug info
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* disable fp8 output for fp8_mha + CS
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* add output_tensor_type to FADescriptor
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* minor fixes for CP
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* remove print
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* enable a2a+p2p for CS CP and require additional cp_group_global
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* fix last commit
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* consolidate CP P2P per-tile calls for fwd/bwd and fused/flash
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* fix flash-attn from last commit
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* fix attn_mask_type in f16 causal
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* revert bb6a0a59 temporarily
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* fix dbias for fused attn CP
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* clean up prints/comments and add back NVTE_CS_dP_SCALE
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* remove prints from 69639024
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* fix last commit
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* move fp8_autocast(fp8_recipe) print to utils.py
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* add debug logging to unit tests
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* fix NVTE_FP8_DPA_BWD=0 for CP
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* small fixes for float8_current_scaling(), nominal types, and unruly d_out types
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Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* Bump cuDNN FE to 1.14.0
Signed-off-by: Vladimir Cherepanov <vcherepanov@nvidia.com>

* Change submodule hash
Signed-off-by: Vladimir Cherepanov <vcherepanov@nvidia.com>

* Pick up a cuDNN FE fix
Signed-off-by: Vladimir Cherepanov <vcherepanov@nvidia.com>

* New model configs in tests
Signed-off-by: Vladimir Cherepanov <vcherepanov@nvidia.com>

* Exclude cuDNN backend for some configs
Signed-off-by: Vladimir Cherepanov <vcherepanov@nvidia.com>

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Signed-off-by: Vladimir Cherepanov <vcherepanov@nvidia.com>

expose more activation functions
Signed-off-by: Xin Yao <xiny@nvidia.com>

* code drop
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

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

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* fix
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

* fix
Signed-off-by: Pawel Gadzinski <pgadzinski@nvidia.com>

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

* Add rmsnorm_bwd_add
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Add BackwardAddRMSNorm fused operation
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Try to optimize register usage in kernels
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Add separate BackwardAdd stage for the fused backward add
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

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Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Add `nvte_cublas_gemm_scaled`
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Support use of `alpha` and `beta` in `tex.generic_gemm`
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Support use of `alpha` and `beta` in `general_gemm`
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Support use of `alpha` and `beta` in `BasicLinear._functional_forward` and `BasicLinear._functional_backward`
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Add `ForwardLinearScaleAdd` fusion
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Add `BackwardLinearScale` fusion
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Apply suggestions from code review
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

* Remove calls to `validate_gemm_scale` from `BasicLinear`
Signed-off-by: Jan Bielak <jbielak@nvidia.com>

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Signed-off-by: Jan Bielak <jbielak@nvidia.com>
Co-authored-by: Tim Moon <4406448+timmoon10@users.noreply.github.com>