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[group offloading] avoid unnecessary moving out to speed up inference #12910

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[group offloading] avoid unnecessary moving out to speed up inference #12910

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26 changes: 8 additions & 18 deletions src/diffusers/hooks/group_offloading.py
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Original file line number Diff line number Diff line change
Expand Up @@ -126,8 +126,6 @@ def __init__(

def _init_cpu_param_dict(self):
cpu_param_dict = {}
if self.stream is None:
return cpu_param_dict

for module in self.modules:
for param in module.parameters():
Expand Down Expand Up @@ -239,24 +237,16 @@ def _offload_to_disk(self):
tensor_obj.data = torch.empty_like(tensor_obj.data, device=self.offload_device)

def _offload_to_memory(self):
if self.stream is not None:
if not self.record_stream:
self._torch_accelerator_module.current_stream().synchronize()
if not self.record_stream:
self._torch_accelerator_module.current_stream().synchronize()

for group_module in self.modules:
for param in group_module.parameters():
param.data = self.cpu_param_dict[param]
for param in self.parameters:
for group_module in self.modules:
for param in group_module.parameters():
param.data = self.cpu_param_dict[param]
for buffer in self.buffers:
buffer.data = self.cpu_param_dict[buffer]
else:
for group_module in self.modules:
group_module.to(self.offload_device, non_blocking=False)
for param in self.parameters:
param.data = param.data.to(self.offload_device, non_blocking=False)
for buffer in self.buffers:
buffer.data = buffer.data.to(self.offload_device, non_blocking=False)
for param in self.parameters:
param.data = self.cpu_param_dict[param]
for buffer in self.buffers:
buffer.data = self.cpu_param_dict[buffer]

@torch.compiler.disable()
def onload_(self):
Expand Down