Fix dist example padding problem (#3687)

examples/pytorch/graphsage/experimental/train_dist.py

@@ -184,7 +184,12 @@ def pad_data(nids, device):
 def run(args, device, data):
     # Unpack data
     train_nid, val_nid, test_nid, in_feats, n_classes, g = data
+    shuffle = True
+    if args.pad_data:
         train_nid = pad_data(train_nid, device)
+        # Current pipeline doesn't support duplicate node id within the same batch
+        # Therefore turn off shuffling to avoid potential duplicate node id within the same batch
+        shuffle = False
     # Create sampler
     sampler = NeighborSampler(g, [int(fanout) for fanout in args.fan_out.split(',')],
                               dgl.distributed.sample_neighbors, device)
@@ -194,7 +199,7 @@ def run(args, device, data):
         dataset=train_nid.numpy(),
         batch_size=args.batch_size,
         collate_fn=sampler.sample_blocks,
-        shuffle=True,
+        shuffle=shuffle,
         drop_last=False)
 
     # Define model and optimizer
@@ -341,6 +346,8 @@ if __name__ == '__main__':
     parser.add_argument('--dropout', type=float, default=0.5)
     parser.add_argument('--local_rank', type=int, help='get rank of the process')
     parser.add_argument('--standalone', action='store_true', help='run in the standalone mode')
+    parser.add_argument('--pad-data', default=False, action='store_true',
+                        help='Pad train nid to the same length across machine, to ensure num of batches to be the same.')
     args = parser.parse_args()
 
     print(args)