GitLab

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

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>

See merge request dcutoolkit/deeplearing/TransformerEngine!72
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See merge request dcutoolkit/deeplearing/TransformerEngine!71

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[PyT] Bump the min version expected to supported FP8 current scaling determinism on Blackwell (#2316)

* Bump the min version expected to supported FP8 cs det on Blackwell
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* Disable fused attn for cudnn < 9.14 for FP8 CS. Disable fused attn for cudnn < 9.18 for FP8 deterministic CS
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* Fix attention backend and tests for sm120
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* Disable MLA only for backward
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* Fix: Skip determinism tests for bprop for all sm >=100
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* Add username to TODO
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* Fix CI failures due to deterministic attention
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* some more cleanup
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* Fix debug test
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* add max_score for fused/unfused F16 non-CP
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* calculate max per head instead of max over all heads
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* update FE to 1.15.0-rc
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* remove logic for flash-attn
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* WIP: add CP support for p2p/a2a/all_gather
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* WIP: add thd support
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* fix lint
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* fix all_gather
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* disable fused attn + thd
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* Added sm_120f to the build
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* Change the arch specific handling
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* Fix
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* Support for CUDA<12.9
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* Fix
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* Common cases
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* Remove pure 100 from the list
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* Fix
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* Fix
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* Fix
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* [JAX] Support recipe flags for disabling SR, RHT, and 2D quantization
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* lint
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* Fix issue with SR state being erased due to pytree handling of NVFP4Quantizer
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* Support wheel build for cuda 13
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* [PyTorch] Add record_stream and untyped_storage func op in QuantizedTensor
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