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An alternative way of teacher logits exchange #161

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10 changes: 5 additions & 5 deletions roll/pipeline/distill/distill_worker.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,6 @@
from roll.utils.functionals import (
append_to_dict,
)
from roll.utils.cuda_ipc_utils import MultiprocessingSerializer
from roll.utils.offload_states import OffloadStateType
from roll.pipeline.distill.various_divergence import VariousDivergence, GPTLMLoss

Expand Down Expand Up @@ -59,9 +58,9 @@ def train_step(self, data: DataProto):
"""
global_step = data.meta_info.get("global_step", 0)
is_offload_states = data.meta_info.get("is_offload_states", True)
# 获取teacher logits
self.teacher_logits = MultiprocessingSerializer.deserialize(
data.meta_info.get("teacher_logits_handles")[self.rank_info.rank])

logits_ref = data.meta_info.get("teacher_logits_handles")[self.rank_info.rank]
self.teacher_logits = ray.get(logits_ref) # GPU tensor directly
metrics = {}
self.logger.info(f"is_offload_states: {is_offload_states}")
with state_offload_manger(
Expand Down Expand Up @@ -181,5 +180,6 @@ def forward(self, data: DataProto):
self.logits = None
if forward_output:
self.logits = forward_output['logits']
return MultiprocessingSerializer.serialize(self.logits)

return ray.put(self.logits)

46 changes: 0 additions & 46 deletions roll/utils/cuda_ipc_utils.py
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