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fixed autocast

This commit is contained in:
Falko Victor Habel 2025-02-22 10:43:10 +01:00
parent 81ceddff3b
commit f576a0d789
1 changed files with 2 additions and 2 deletions
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4
src/aiunn/finetune.py
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@ -15,7 +15,7 @@ class UpscaleDataset(Dataset):
combined_df = pd.DataFrame()
for parquet_file in parquet_files:
# Load data with chunking for memory efficiency
df = pd.read_parquet(parquet_file, columns=['image_512', 'image_1024']).head(5000)
df = pd.read_parquet(parquet_file, columns=['image_512', 'image_1024']).head(2500)
combined_df = pd.concat([combined_df, df], ignore_index=True)
# Validate data format
@ -126,7 +126,7 @@ for epoch in range(num_epochs):
optimizer.zero_grad()
# Use automatic mixed precision context
with autocast(device_type=device):
with autocast(device_type="cuda"):
outputs = model(low_res)
loss = criterion(outputs, high_res)