Removing debug print and moving assert

python/paddle/v2/fluid/io.py

@@ -244,6 +244,8 @@ def get_parameter_value(para, executor):
     :param para: the given parameter
     :return: the LoDTensor for the parameter
     """
+    assert is_parameter(para)
+
     get_program = Program()
     block = get_program.global_block()
     new_var = _clone_var_in_block_(block, para)
@@ -263,5 +265,4 @@ def get_parameter_value_by_name(name, executor, program=None):
     if program is None:
         program = g_main_program
     var = program.global_block().var(name)
-    assert is_parameter(var)
     return get_parameter_value(var, executor)

python/paddle/v2/fluid/layer_helper.py

@@ -158,7 +158,7 @@ class LayerHelper(object):
         or equal than 2.
         :param dim_start:
         :param dim_end: the shape of the bias will be
-        input_var.shape(dim_start:dim_end). The bias is broadcast to other
+        input_var.shape[dim_start:dim_end]. The bias is broadcasted to other
         dimensions and added to input_var to get the output
         """
         size = list(input_var.shape[dim_start:dim_end])

python/paddle/v2/fluid/layers.py

@@ -676,7 +676,6 @@ def conv2d(input,
     filter_shape = [num_filters, num_filter_channels] + filter_size
 
     std = (2.0 / (filter_size[0]**2 * num_channels))**0.5
-    print 'name=', name, 'std=', std
     filter = helper.create_parameter(
         attr=helper.param_attr,
         shape=filter_shape,