remove warning

paddlex/cv/datasets/dataset.py

@@ -46,7 +46,7 @@ def is_valid(sample):
                 return False
             elif isinstance(s, np.ndarray) and s.size == 0:
                 return False
-            elif isinstance(s, collections.Sequence) and len(s) == 0:
+            elif isinstance(s, collections.abc.Sequence) and len(s) == 0:
                 return False
     return True
 

paddlex/utils/utils.py

@@ -53,14 +53,14 @@ def get_environ_info():
 def parse_param_file(param_file, return_shape=True):
     from paddle.fluid.proto.framework_pb2 import VarType
     f = open(param_file, 'rb')
-    version = np.fromstring(f.read(4), dtype='int32')
-    lod_level = np.fromstring(f.read(8), dtype='int64')
+    version = np.frombuffer(f.read(4), dtype='int32')
+    lod_level = np.frombuffer(f.read(8), dtype='int64')
     for i in range(int(lod_level)):
-        _size = np.fromstring(f.read(8), dtype='int64')
+        _size = np.frombuffer(f.read(8), dtype='int64')
         _ = f.read(_size)
-    version = np.fromstring(f.read(4), dtype='int32')
+    version = np.frombuffer(f.read(4), dtype='int32')
     tensor_desc = VarType.TensorDesc()
-    tensor_desc_size = np.fromstring(f.read(4), dtype='int32')
+    tensor_desc_size = np.frombuffer(f.read(4), dtype='int32')
     tensor_desc.ParseFromString(f.read(int(tensor_desc_size)))
     tensor_shape = tuple(tensor_desc.dims)
     if return_shape: