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examples/llm/g_retriever.py

@@ -185,14 +185,14 @@ def inference_step(model, batch, model_save_name):
 
 
 def train(
-    num_epochs,  # Total number of training epochs
-    hidden_channels,  # Number of hidden channels in GNN
-    num_gnn_layers,  # Number of GNN layers
-    batch_size,  # Training batch size
-    eval_batch_size,  # Evaluation batch size
-    lr,  # Initial learning rate
-    checkpointing=False,  # Whether to checkpoint model
-    tiny_llama=False,  # Whether to use tiny LLaMA model
+        num_epochs,  # Total number of training epochs
+        hidden_channels,  # Number of hidden channels in GNN
+        num_gnn_layers,  # Number of GNN layers
+        batch_size,  # Training batch size
+        eval_batch_size,  # Evaluation batch size
+        lr,  # Initial learning rate
+        checkpointing=False,  # Whether to checkpoint model
+        tiny_llama=False,  # Whether to use tiny LLaMA model
 ):
     """Train a GNN+LLM model on WebQSP dataset.