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megatron gpt training fix #7199

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Aug 10, 2023
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Original file line number Diff line number Diff line change
Expand Up @@ -662,7 +662,9 @@ def _append_sequence_parallel_module_grads(self, module, grads):
""" Helper method for allreduce_sequence_parallel_gradients"""

for param in module.parameters():
sequence_parallel_param = getattr(param, 'sequence_parallel', False)
sequence_parallel_param = getattr(param, 'sequence_parallel', False) or getattr(
param, 'sequence_parallel_enabled', False
)
# (@adithyare) adapter training now extends MegatronGPTModel
# so we have to add this check here to ensure we do not
# perform all_reduce when grad is None.
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -15,8 +15,7 @@


try:
from apex.normalization.fused_layer_norm import MixedFusedLayerNorm
from apex.transformer.layers.layer_norm import FastLayerNorm
from apex.transformer.layers.layer_norm import FastLayerNorm, MixedFusedLayerNorm

HAVE_APEX = True
except (ImportError, ModuleNotFoundError):
Expand Down Expand Up @@ -59,4 +58,4 @@ def get_layer_norm(hidden_size, eps=1e-5, persist_layer_norm=False, sequence_par
if persist_layer_norm:
return FastLayerNorm(hidden_size, eps, sequence_parallel_enabled=sequence_parallel)
else:
return MixedFusedLayerNorm(hidden_size, eps, sequence_parallel_enbaled=sequence_parallel)
return MixedFusedLayerNorm(hidden_size, eps, sequence_parallel_enabled=sequence_parallel)
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