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* update cudnn-frontend to 1.13.0
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* Add dtype checks in multi-tensor Adam
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* fix underterminsic problem in CI
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* Fix clearing tensor data in backward removing is_first_op
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* Fix CI sm89/80
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* [PyTorch|common] Implement unpadding kernel for FP8

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* add license
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* Update padding.cu
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* Support MXFP8 and handle empty matrices
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* add support for head dim > 128
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* raise tols slightly to tolerate 1/2048 mismatches
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* fix is_training for test_te_layer
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* minor tweak for format
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* fix backend selection results
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* bump sm100 to sm100+
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* add sq=1 test for MLA
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* enable sq=1 for bprop
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* minor tweak in comments
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* fix head_dim logic and remove pytest skip
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* add FE fix for d>128
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* update FE again to take in small fixes
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* add cuDNN version info in L0 tests
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* increase tols for Unfused + large dim
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* Revert "add cuDNN version info in L0 tests"

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* fix tols for Unfused
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* Added support of FP4 data type
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* Refactoring to BitsNum in progress
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* Fixed compilation errors. All C++ tests passed
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* Fixed errors in JAX C++ extensions
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* Implemented GroupedDense and TestGroupedDense for BF16, FP16, and FP8 
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Revert "[JAX] GroupedDense v.2 without dynamic shape (#1721)"

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Same intention of commit 3e38a2ea

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This commit is to improve acc.
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