evaluate_auc: use new utils.load_model (infer vocab, model variants) and dynamic device; remove unused imports

evaluate_auc.py

@@ -1,8 +1,4 @@
-import scipy.stats
-import scipy
-import warnings
 import torch
-from models import TimeAwareGPT2
 from tqdm import tqdm
 import pandas as pd
 import numpy as np
@@ -450,13 +446,15 @@ def main():
     # Create output folder if it doesn't exist.
     Path(output_path).mkdir(exist_ok=True, parents=True)
 
-    device = "cuda"
+    device = "cuda" if torch.cuda.is_available() else "cpu"
     seed = 1337
 
     # Load model checkpoint and initialize model.
-    model = load_model(f'config_{model_name}.json',
-                   f'best_model_{model_name}.pt', 
-                   1270)
+    model = load_model(
+        config_path=f'config_{model_name}.json',
+        model_path=f'best_model_{model_name}.pt',
+        device=device,
+    )
     model.eval()
     model = model.to(device)