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Optimize model device placement by moving to load_model function #3

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Merged
GilbertKrantz merged 2 commits into from
Oct 24, 2025
Merged

Optimize model device placement by moving to load_model function #3

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5473d11
Initial plan
Copilot Oct 23, 2025
05a7c14
Move model.to(device) to load_model function
Copilot Oct 23, 2025
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4 changes: 2 additions & 2 deletions gradio-inference.py
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Original file line number Diff line number Diff line change
Expand Up @@ -80,7 +80,8 @@ def load_model(model_type: str = "efficientvit") -> nn.Module:
logging.warning(
f"Default model path '{model_path}' not found. Using untrained model."
)
# Set model to evaluation mode
# Move model to device and set to evaluation mode
model.to(device)
model.eval()
return model

Expand Down Expand Up @@ -182,7 +183,6 @@ def predict_image(image: np.ndarray, model_type: str) -> tuple[dict, np.ndarray]

# Load model
model = load_model(model_type)
model.to(device)

# Preprocess image
logging.info("Preprocessing image...")
Expand Down