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maybe fix branch to run offloading

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This commit is contained in:
BootsofLagrangian
2024-02-05 22:40:43 +09:00
parent 4295f91dcd
commit 3970bf4080
2 changed files with 8 additions and 0 deletions
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2
library/train_util.py
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@@ -3964,6 +3964,8 @@ def prepare_accelerator(args: argparse.Namespace):
zero3_init_flag=args.zero3_init_flag, zero3_save_16bit_model=args.zero3_save_16bit_model, zero3_init_flag=args.zero3_init_flag, zero3_save_16bit_model=args.zero3_save_16bit_model,
) )
deepspeed_plugin.deepspeed_config['train_micro_batch_size_per_gpu'] = args.train_batch_size deepspeed_plugin.deepspeed_config['train_micro_batch_size_per_gpu'] = args.train_batch_size
deepspeed_plugin.deepspeed_config['train_batch_size'] = \
args.train_batch_size * args.gradient_accumulation_steps * int(os.environ['WORLD_SIZE'])
accelerator = Accelerator( accelerator = Accelerator(
gradient_accumulation_steps=args.gradient_accumulation_steps, gradient_accumulation_steps=args.gradient_accumulation_steps,

6
sdxl_train.py
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@@ -391,6 +391,12 @@ def train(args):
if args.deepspeed: if args.deepspeed:
# Wrapping model for DeepSpeed # Wrapping model for DeepSpeed
import deepspeed
if args.offload_optimizer_device is not None:
accelerator.print('[DeepSpeed] start to manually build cpu_adam.')
deepspeed.ops.op_builder.CPUAdamBuilder().load()
accelerator.print('[DeepSpeed] building cpu_adam done.')
class DeepSpeedModel(torch.nn.Module): class DeepSpeedModel(torch.nn.Module):
def __init__(self, unet, text_encoder) -> None: def __init__(self, unet, text_encoder) -> None:
super().__init__() super().__init__()