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

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

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

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

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

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

Merge commit '734bcedd' of https://github.com/NVIDIA/TransformerEngine

add swap env

See merge request dcutoolkit/deeplearing/TransformerEngine!40

Signed-off-by: Przemek Tredak <ptredak@nvidia.com>

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

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* check if the given recipe is supported in fp8_autocast
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* Update list of authorized CI users
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Fix flax variables when creating quantizers directly from a recipe
Signed-off-by: Jeremy Berchtold <jberchtold@nvidia.com>

fix: fixes multi head attention for context parallel: rotary embedding to use padded cu_seq_lens (#2077)

fix: fixes mha to use padded cu_seq_lens during cp
Signed-off-by: Jonathan Mitchell <jomitchell@nvidia.com>

* Add `nvte_cublas_gemm_scaled`
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Signed-off-by: wenjh <wenjh@sugon.com>

* Move some dist fused attn tests to L2
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* Fix usage of pytest_parametrize_wrapper in test_distributed_fused_attn
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* Remove test code for L2 dist residing in L2 test.sh
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* Add comments for code. Swap the test data shapes in REORDER_CAUSAL_LOAD_BALANCING_DATA_SHAPES
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* Add L0 to the data shape dictionaries in the distributed test
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Add launch bounds to swizzle kernel, use empty scale inv
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* Unfused impl for dbias-quantize
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* Unfused impl for dact-dbias-quantize
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* Disable fused bgrad-quantize for unsupported recipes
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* Remove unfused dbias-quantize impls

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Avoid registering FP8 recipe update in ops without backward pass
Signed-off-by: Tim Moon <tmoon@nvidia.com>
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