Fix error 'integer division or modulo by zero' in data_utils.py

#27 #50 #222 #227 的一种可选择解决方案

data_utils.py

@@ -195,10 +195,19 @@ class DistributedBucketSampler(torch.utils.data.distributed.DistributedSampler):
             if idx_bucket != -1:
                 buckets[idx_bucket].append(i)
 
-        for i in range(len(buckets) - 1, 0, -1):
-            if len(buckets[i]) == 0:
-                buckets.pop(i)
-                self.boundaries.pop(i + 1)
+        try: 
+            for i in range(len(buckets) - 1, 0, -1):
+                if len(buckets[i]) == 0:
+                    buckets.pop(i)
+                    self.boundaries.pop(i + 1)
+            assert all(len(bucket) > 0 for bucket in buckets)
+        # When one bucket is not traversed
+        except Exception as e:
+            print('Bucket warning ', e)
+            for i in range(len(buckets) - 1, -1, -1):
+                if len(buckets[i]) == 0:
+                    buckets.pop(i)
+                    self.boundaries.pop(i + 1)
 
         num_samples_per_bucket = []
         for i in range(len(buckets)):
@@ -264,4 +273,4 @@ class DistributedBucketSampler(torch.utils.data.distributed.DistributedSampler):
             return -1
 
     def __len__(self):
-        return self.num_samples // self.batch_size
+        return self.num_samples // self.batch_size