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Update sdxl_original_unet.py for apple silicon #2008

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Update sdxl_original_unet.py for apple silicon #2008

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8 changes: 4 additions & 4 deletions library/sdxl_original_unet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,6 +29,7 @@
import torch.utils.checkpoint
from torch import nn
from torch.nn import functional as F
import torch.amp as amp
from einops import rearrange


Expand Down Expand Up @@ -1110,9 +1111,8 @@ def call_module(module, h, emb, context):
import transformers

optimizer = transformers.optimization.Adafactor(unet.parameters(), relative_step=True) # working at 22.2GB with torch2

scaler = torch.cuda.amp.GradScaler(enabled=True)

# scaler = torch.cuda.amp.GradScaler(enabled=True)
scaler = amp.GradScaler(enabled=True)
print("start training")
steps = 10
batch_size = 1
Expand All @@ -1127,7 +1127,7 @@ def call_module(module, h, emb, context):
ctx = torch.randn(batch_size, 77, 2048).cuda()
y = torch.randn(batch_size, ADM_IN_CHANNELS).cuda()

with torch.cuda.amp.autocast(enabled=True):
with amp.autocast(enabled=True):
output = unet(x, t, ctx, y)
target = torch.randn_like(output)
loss = torch.nn.functional.mse_loss(output, target)
Expand Down