[bugfix] Fix force_reload parameter of FraudDataset (#3210)

* enable force_reload of FraudDataset

* rewrite hash_key in FraudDataset

python/dgl/data/fraud.py

@@ -46,6 +46,10 @@ class FraudDataset(DGLBuiltinDataset):
         validation set size of the dataset, and the
         size of testing set is (1 - train_size - val_size)
         Default: 0.1
+    force_reload : bool
+        Whether to reload the dataset. Default: False
+    verbose: bool
+        Whether to print out progress information. Default: True.
 
     Attributes
     ----------
@@ -85,7 +89,8 @@ class FraudDataset(DGLBuiltinDataset):
         'amazon': 'user'
     }
     
-    def __init__(self, name, raw_dir=None, random_seed=717, train_size=0.7, val_size=0.1):
+    def __init__(self, name, raw_dir=None, random_seed=717, train_size=0.7,
+                 val_size=0.1, force_reload=False, verbose=True):
         assert name in ['yelp', 'amazon'], "only supports 'yelp', or 'amazon'"
         url = _get_dgl_url(self.file_urls[name])
         self.seed = random_seed
@@ -93,7 +98,10 @@ class FraudDataset(DGLBuiltinDataset):
         self.val_size = val_size
         super(FraudDataset, self).__init__(name=name,
                                            url=url,
-                                           raw_dir=raw_dir)
+                                           raw_dir=raw_dir,
+                                           hash_key=(random_seed, train_size, val_size),
+                                           force_reload=force_reload,
+                                           verbose=verbose)
     
     def process(self):
         """process raw data to graph, labels, splitting masks"""
@@ -154,19 +162,19 @@ class FraudDataset(DGLBuiltinDataset):
     
     def save(self):
         """save processed data to directory `self.save_path`"""
-        graph_path = os.path.join(self.save_path, self.name + '_dgl_graph.bin')
+        graph_path = os.path.join(self.save_path, self.name + '_dgl_graph_{}.bin'.format(self.hash))
         save_graphs(str(graph_path), self.graph)
     
     def load(self):
         """load processed data from directory `self.save_path`"""
-        graph_path = os.path.join(self.save_path, self.name + '_dgl_graph.bin')
+        graph_path = os.path.join(self.save_path, self.name + '_dgl_graph_{}.bin'.format(self.hash))
         graph_list, _ = load_graphs(str(graph_path))
         g = graph_list[0]
         self.graph = g
     
     def has_cache(self):
         """check whether there are processed data in `self.save_path`"""
-        graph_path = os.path.join(self.save_path, self.name + '_dgl_graph.bin')
+        graph_path = os.path.join(self.save_path, self.name + '_dgl_graph_{}.bin'.format(self.hash))
         return os.path.exists(graph_path)
     
     def _random_split(self, x, seed=717, train_size=0.7, val_size=0.1):
@@ -243,6 +251,10 @@ class FraudYelpDataset(FraudDataset):
         validation set size of the dataset, and the
         size of testing set is (1 - train_size - val_size)
         Default: 0.1
+    force_reload : bool
+        Whether to reload the dataset. Default: False
+    verbose: bool
+        Whether to print out progress information. Default: True.
 
     Examples
     --------
@@ -253,12 +265,15 @@ class FraudYelpDataset(FraudDataset):
     >>> label = graph.ndata['label']
     """
     
-    def __init__(self, raw_dir=None, random_seed=717, train_size=0.7, val_size=0.1):
+    def __init__(self, raw_dir=None, random_seed=717, train_size=0.7,
+                 val_size=0.1, force_reload=False, verbose=True):
         super(FraudYelpDataset, self).__init__(name='yelp',
                                                raw_dir=raw_dir,
                                                random_seed=random_seed,
                                                train_size=train_size,
-                                               val_size=val_size)
+                                               val_size=val_size,
+                                               force_reload=force_reload,
+                                               verbose=verbose)
 
 
 class FraudAmazonDataset(FraudDataset):
@@ -312,6 +327,10 @@ class FraudAmazonDataset(FraudDataset):
         validation set size of the dataset, and the
         size of testing set is (1 - train_size - val_size)
         Default: 0.1
+    force_reload : bool
+        Whether to reload the dataset. Default: False
+    verbose: bool
+        Whether to print out progress information. Default: True.
 
     Examples
     --------
@@ -322,9 +341,12 @@ class FraudAmazonDataset(FraudDataset):
     >>> label = graph.ndata['label']
     """
     
-    def __init__(self, raw_dir=None, random_seed=717, train_size=0.7, val_size=0.1):
+    def __init__(self, raw_dir=None, random_seed=717, train_size=0.7,
+                 val_size=0.1, force_reload=False, verbose=True):
         super(FraudAmazonDataset, self).__init__(name='amazon',
                                                  raw_dir=raw_dir,
                                                  random_seed=random_seed,
                                                  train_size=train_size,
-                                                 val_size=val_size)
+                                                 val_size=val_size,
+                                                 force_reload=force_reload,
+                                                 verbose=verbose)