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[NaN check] Add NaN check to support bfloat16. #5879

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[NaN check] Add NaN check to support bfloat16. #5879

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5acbfa5
add nan check to support bfloat16
ys950902 Aug 8, 2024
125e193
Merge branch 'master' into nan_check
tjruwase Aug 9, 2024
503e0b9
Merge branch 'master' into nan_check
tjruwase Sep 3, 2024
7f4d8c5
Merge branch 'master' into nan_check
tohtana Sep 27, 2024
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2 changes: 1 addition & 1 deletion deepspeed/runtime/zero/stage3.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1997,7 +1997,7 @@ def _overflow_clean_up(self, prev_scale):
def _overflow_check_and_loss_scale_update(self):

# First compute norm for all group so we know if there is overflow
if self.dtype == torch.float16:
if self.dtype in [torch.float16, torch.bfloat16]:
self.check_overflow()

#loss scaling related computation
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2 changes: 1 addition & 1 deletion deepspeed/runtime/zero/stage_1_and_2.py
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Expand Up @@ -1828,7 +1828,7 @@ def step(self, closure=None):
see_memory_usage(f"In step before checking overflow")

# First compute norm for all group so we know if there is overflow
if self.dtype == torch.float16:
if self.dtype in [torch.float16, torch.bfloat16]:
self.check_overflow()

prev_scale = self.loss_scale
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