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Fix execution with Transformer Engine #3852

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Merged
SunMarc merged 1 commit into from
Dec 1, 2025
Merged

Fix execution with Transformer Engine #3852

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4 changes: 2 additions & 2 deletions src/accelerate/utils/imports.py
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Original file line number Diff line number Diff line change
Expand Up @@ -116,9 +116,9 @@ def is_transformer_engine_available():

def is_transformer_engine_mxfp8_available():
if _is_package_available("transformer_engine", "transformer-engine"):
import transformer_engine.pytorch as te
from transformer_engine.pytorch.fp8 import check_mxfp8_support

return te.fp8.check_mxfp8_support()[0]
return check_mxfp8_support()[0]
return False


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4 changes: 2 additions & 2 deletions src/accelerate/utils/transformer_engine.py
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Expand Up @@ -154,9 +154,9 @@ def apply_fp8_autowrap(model, fp8_recipe_handler):

else:
import transformer_engine.common.recipe as te_recipe
import transformer_engine.pytorch as te
from transformer_engine.pytorch.fp8 import check_mxfp8_support

is_fp8_block_scaling_available, message = te.fp8.check_mxfp8_support()
is_fp8_block_scaling_available, message = check_mxfp8_support()

kwargs = fp8_recipe_handler.to_kwargs() if fp8_recipe_handler is not None else {}
if "fp8_format" in kwargs:
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