fix collections.Sequence in python3.10

python/paddle/fluid/backward.py

@@ -28,6 +28,10 @@
 import paddle.fluid
 from .data_feeder import check_type
 import warnings
+try:
+    from collections.abc import Sequence
+except:
+    from collections import Sequence
 __all__ = [
     'append_backward',
     'gradients',
@@ -1309,8 +1313,8 @@ def _append_backward_vars_(block, start_op_idx, grad_to_var, grad_info_map):
             if grad_var_ins:
                 existing_grad_var_ins = [
                     var for var in grad_var_ins
-                    if block.desc.has_var_recursive(cpt.to_bytes(var)) or var in
-                    parent_op_vars
+                    if block.desc.has_var_recursive(cpt.to_bytes(var)) or
+                    var in parent_op_vars
                 ]
                 if not existing_grad_var_ins:
                     '''
@@ -1722,7 +1726,7 @@ def append_backward(loss,
 def _as_list(x):
     if x is None:
         return []
-    return list(x) if isinstance(x, collections.Sequence) else [x]
+    return list(x) if isinstance(x, Sequence) else [x]
 
 
 def _is_ancestor_block(ancestor_block, block):

python/paddle/fluid/dygraph/dygraph_to_static/origin_info.py

@@ -21,6 +21,10 @@
 from paddle.fluid import core
 from paddle.fluid.dygraph.dygraph_to_static.utils import unwrap
 from paddle.fluid.framework import Program
+try:
+    from collections.abc import Sequence
+except:
+    from collections import Sequence
 
 # NOTE(liym27): Please use `getattr(ast_node, ORIGI_INFO)` instead of . operation to get the original information of ast node.
 ORIGI_INFO = "Original information of source code for ast node."
@@ -214,7 +218,7 @@ def ast_walk(transformed_node, static_node):
     def _as_list(x):
         if x is None:
             return []
-        return list(x) if isinstance(x, collections.Sequence) else [x]
+        return list(x) if isinstance(x, Sequence) else [x]
 
     transformed_node_list = _as_list(transformed_node)
     static_node_list = _as_list(static_node)

python/paddle/fluid/layers/rnn.py

@@ -33,6 +33,10 @@
 from ..framework import _non_static_mode
 from ..param_attr import ParamAttr
 from ..data_feeder import check_variable_and_dtype, check_type, check_dtype
+try:
+    from collections.abc import Sequence
+except:
+    from collections import Sequence
 
 __all__ = [
     'RNNCell',
@@ -163,7 +167,7 @@ def _is_shape_sequence(seq):
             # TODO: Add check for the illegal
             if isinstance(seq, dict):
                 return True
-            return (isinstance(seq, collections.Sequence) and
+            return (isinstance(seq, Sequence) and
                     not isinstance(seq, six.string_types))
 
         class Shape(object):

python/paddle/fluid/layers/utils.py

@@ -21,6 +21,10 @@
 from ..data_feeder import convert_dtype, check_variable_and_dtype, check_type, check_dtype
 from ..layer_helper import LayerHelper
 from sys import version_info
+try:
+    from collections.abc import Sequence
+except:
+    from collections import Sequence
 
 
 def convert_to_list(value, n, name, dtype=int):
@@ -74,8 +78,7 @@ def is_sequence(seq):
     """
     if isinstance(seq, dict):
         return True
-    return (isinstance(seq, collections.Sequence) and
-            not isinstance(seq, six.string_types))
+    return (isinstance(seq, Sequence) and not isinstance(seq, six.string_types))
 
 
 def _hash_with_id(*args):
@@ -148,7 +151,7 @@ def _sequence_like(instance, args):
         return type(instance)((key, result[key])
                               for key in six.iterkeys(instance))
     elif (isinstance(instance, tuple) and hasattr(instance, "_fields") and
-          isinstance(instance._fields, collections.Sequence) and
+          isinstance(instance._fields, Sequence) and
           all(isinstance(f, six.string_types) for f in instance._fields)):
         # This is a namedtuple
         return type(instance)(*args)

python/paddle/fluid/tests/unittests/gradient_checker.py

@@ -27,6 +27,10 @@
 from paddle.fluid.executor import Executor
 from paddle.fluid.backward import _append_grad_suffix_, _as_list
 from paddle.fluid.framework import _test_eager_guard
+try:
+    from collections.abc import Sequence
+except:
+    from collections import Sequence
 
 
 def _product(t):
@@ -91,7 +95,7 @@ def var_to_np_array_in_scope(scope, place, name):
 def make_jacobian(x, y_size, np_dtype):
     if isinstance(x, fluid.framework.Variable):
         return np.zeros((_product(x.shape), y_size), dtype=np_dtype)
-    elif isinstance(x, collections.Sequence):
+    elif isinstance(x, Sequence):
         jacobians = list(
             filter(lambda t: t is not None, (make_jacobian(
                 item, y_size, np_dtype) for item in x)))
@@ -310,7 +314,7 @@ def fail_test(msg):
             _compute_analytical_jacobian(prog, clone_x, clone_y, place, scope))
 
     for i, (x_idx,
-            y_idx) in enumerate(product(*[range(len(x)), range(len(y))])):
+            y_idx) in enumerate(product(* [range(len(x)), range(len(y))])):
         a = analytical[y_idx][x_idx]
         n = numerical[x_idx][y_idx]
         if not np.allclose(a, n, rtol, atol):

python/paddle/nn/layer/rnn.py

@@ -37,6 +37,10 @@
 from paddle.framework import core
 from paddle.static import default_startup_program
 from paddle.static import program_guard
+try:
+    from collections.abc import Sequence
+except:
+    from collections import Sequence
 
 __all__ = []
 
@@ -197,7 +201,7 @@ def _is_shape_sequence(seq):
             # TODO: Add check for the illegal
             if isinstance(seq, dict):
                 return True
-            return (isinstance(seq, collections.Sequence) and
+            return (isinstance(seq, Sequence) and
                     not isinstance(seq, six.string_types))
 
         class Shape(object):