Merge branch 'master' into setDaemon

examples/pytorch/eeg-gcnn/EEGGraphDataset.py

@@ -84,17 +84,22 @@ def get_sensor_distances(self):
     def get_geodesic_distance(
         self, montage_sensor1_idx, montage_sensor2_idx, coords_1010
     ):
+        def get_coord(ref_sensor, coord):
+            return float(
+                (coords_1010[coords_1010.label == ref_sensor][coord]).iloc[0]
+            )
+
         # get the reference sensor in the 10-10 system for the current montage pair in 10-20 system
         ref_sensor1 = self.ref_names[montage_sensor1_idx]
         ref_sensor2 = self.ref_names[montage_sensor2_idx]
 
-        x1 = float(coords_1010[coords_1010.label == ref_sensor1]["x"])
-        y1 = float(coords_1010[coords_1010.label == ref_sensor1]["y"])
-        z1 = float(coords_1010[coords_1010.label == ref_sensor1]["z"])
+        x1 = get_coord(ref_sensor1, "x")
+        y1 = get_coord(ref_sensor1, "y")
+        z1 = get_coord(ref_sensor1, "z")
 
-        x2 = float(coords_1010[coords_1010.label == ref_sensor2]["x"])
-        y2 = float(coords_1010[coords_1010.label == ref_sensor2]["y"])
-        z2 = float(coords_1010[coords_1010.label == ref_sensor2]["z"])
+        x2 = get_coord(ref_sensor2, "x")
+        y2 = get_coord(ref_sensor2, "y")
+        z2 = get_coord(ref_sensor2, "z")
 
         # https://math.stackexchange.com/questions/1304169/distance-between-two-points-on-a-sphere
         r = 1  # since coords are on unit sphere

examples/pytorch/ogb/directional_GSN/main.py

@@ -302,7 +302,7 @@ def train(dataset, params):
 
     optimizer = optim.Adam(model.parameters(), lr=0.0008, weight_decay=1e-5)
     scheduler = optim.lr_scheduler.ReduceLROnPlateau(
-        optimizer, mode="min", factor=0.8, patience=8, verbose=True
+        optimizer, mode="min", factor=0.8, patience=8
     )
 
     epoch_train_losses, epoch_val_losses = [], []

examples/pytorch/ogb/ogbn-arxiv/gcn.py

@@ -136,7 +136,6 @@ def run(
         mode="min",
         factor=0.5,
         patience=100,
-        verbose=True,
         min_lr=1e-3,
     )
 

examples/pytorch/ogb/ogbn-products/gat/gat.py

@@ -302,7 +302,6 @@ def run(
         mode="max",
         factor=0.7,
         patience=20,
-        verbose=True,
         min_lr=1e-4,
     )
 

examples/pytorch/ogb/ogbn-products/mlp/mlp.py

@@ -215,7 +215,6 @@ def run(
         mode="max",
         factor=0.7,
         patience=20,
-        verbose=True,
         min_lr=1e-4,
     )
 

examples/pytorch/ogb/ogbn-proteins/gat.py

@@ -246,7 +246,7 @@ def run(
         model.parameters(), lr=args.lr, weight_decay=args.wd
     )
     lr_scheduler = optim.lr_scheduler.ReduceLROnPlateau(
-        optimizer, mode="max", factor=0.75, patience=50, verbose=True
+        optimizer, mode="max", factor=0.75, patience=50
     )
 
     total_time = 0