delete max limit check

Author: LDOUBLEV

python/paddle/nn/functional/pooling.py

@@ -42,25 +42,15 @@ def _check_instance(x, x_name, types=(int, float)):
                          format(types, x_name, type(x)))
 
 
-def _check_value_limitation(x, x_name, min_limit=1e-3, max_limit=None):
-    def _check_value(x, x_name, min_limit=1e-3, max_limit=None):
+def _check_value_limitation(x, x_name, min_limit=1e-3):
+    def _check_value(x, x_name, min_limit=1e-3):
         if isinstance(x, int) and min_limit is not None and x < min_limit:
             raise ValueError(
                 "Excepted the input {} to be greater than {} but received x: {}. ".
                 format(x_name, min_limit, x))
-        if isinstance(x, int) and max_limit is not None and x > max_limit:
-            raise ValueError(
-                "Excepted the input {} to be less than {} but received x: {}. ".
-                format(x_name, max_limit, x))
-
-    if isinstance(x, (list, tuple)):
-        for ele in x:
-            _check_value(ele, x_name)
-    elif isinstance(x, (int, float)):
-        _check_value(x, x_name)
-    else:
-        raise ValueError("Excepted {} type for {} but received type: {}. ".
-                         format((int, list, tuple), x_name, type(x)))
+
+    for ele in x:
+        _check_value(ele, x_name)
 
 
 def _zero_padding_in_batch_and_channel(padding, channel_last):
@@ -232,9 +222,8 @@ def avg_pool1d(x,
         stride = utils.convert_to_list(stride, 1, 'pool_stride')
         stride = [1] + stride
 
-    _check_value_limitation(
-        kernel_size, "kernel_size", min_limit=1e-3, max_limit=None)
-    _check_value_limitation(stride, "stride", min_limit=1e-3, max_limit=None)
+    _check_value_limitation(kernel_size, "kernel_size", min_limit=1e-3)
+    _check_value_limitation(stride, "stride", min_limit=1e-3)
 
     channel_last = _channel_last("NCL", 1)
     padding, padding_algorithm = _update_padding_nd(
@@ -350,9 +339,8 @@ def avg_pool2d(x,
     else:
         stride = utils.convert_to_list(stride, 2, 'pool_stride')
 
-    _check_value_limitation(
-        kernel_size, "kernel_size", min_limit=1e-3, max_limit=None)
-    _check_value_limitation(stride, "stride", min_limit=1e-3, max_limit=None)
+    _check_value_limitation(kernel_size, "kernel_size", min_limit=1e-3)
+    _check_value_limitation(stride, "stride", min_limit=1e-3)
 
     channel_last = _channel_last(data_format, 2)
     padding, padding_algorithm = _update_padding_nd(
@@ -477,9 +465,8 @@ def avg_pool3d(x,
     padding, padding_algorithm = _update_padding_nd(
         padding, 3, channel_last=channel_last, ceil_mode=ceil_mode)
 
-    _check_value_limitation(
-        kernel_size, "kernel_size", min_limit=1e-3, max_limit=None)
-    _check_value_limitation(stride, "stride", min_limit=1e-3, max_limit=None)
+    _check_value_limitation(kernel_size, "kernel_size", min_limit=1e-3)
+    _check_value_limitation(stride, "stride", min_limit=1e-3)
 
     if in_dygraph_mode():
         output = _C_ops.pool3d(