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11 changes: 6 additions & 5 deletions src/diffusers/training_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,9 @@
if is_transformers_available():
import transformers

if transformers.integrations.deepspeed.is_deepspeed_zero3_enabled():
import deepspeed

if is_peft_available():
from peft import set_peft_model_state_dict

Expand Down Expand Up @@ -430,15 +433,13 @@ def step(self, parameters: Iterable[torch.nn.Parameter]):
self.cur_decay_value = decay
one_minus_decay = 1 - decay

context_manager = contextlib.nullcontext
if is_transformers_available() and transformers.integrations.deepspeed.is_deepspeed_zero3_enabled():
import deepspeed
context_manager = contextlib.nullcontext()

if self.foreach:
if is_transformers_available() and transformers.integrations.deepspeed.is_deepspeed_zero3_enabled():
context_manager = deepspeed.zero.GatheredParameters(parameters, modifier_rank=None)

with context_manager():
with context_manager:
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This is correct for GatheredParameters but I think will fail in non-DeepSpeed scenarious where nullcontext is used. Could you create the context_manager object too?

context_manager = contextlib.nullcontext()
if deepspeed enabled:
    context_manager = GatheredParameters(...)

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Got it.

params_grad = [param for param in parameters if param.requires_grad]
s_params_grad = [
s_param for s_param, param in zip(self.shadow_params, parameters) if param.requires_grad
Expand All @@ -460,7 +461,7 @@ def step(self, parameters: Iterable[torch.nn.Parameter]):
if is_transformers_available() and transformers.integrations.deepspeed.is_deepspeed_zero3_enabled():
context_manager = deepspeed.zero.GatheredParameters(param, modifier_rank=None)

with context_manager():
with context_manager:
if param.requires_grad:
s_param.sub_(one_minus_decay * (s_param - param))
else:
Expand Down
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