diff --git a/tensorlayer/layers/convolution.py b/tensorlayer/layers/convolution.py
index a103739fc..d7b3432d8 100644
--- a/tensorlayer/layers/convolution.py
+++ b/tensorlayer/layers/convolution.py
@@ -59,7 +59,7 @@ def __init__(
             act = tf.identity
         logging.info("Conv1dLayer %s: shape:%s stride:%s pad:%s act:%s" % (self.name, str(shape), str(stride), padding, act.__name__))
 
-        with tf.variable_scope(name) as vs:
+        with tf.variable_scope(name):  # as vs:
             W = tf.get_variable(name='W_conv1d', shape=shape, initializer=W_init, dtype=D_TYPE, **W_init_args)
             self.outputs = tf.nn.convolution(
                 self.inputs, W, strides=(stride, ), padding=padding, dilation_rate=(dilation_rate, ), data_format=data_format)  # 1.2
@@ -834,9 +834,9 @@ def _tf_batch_map_offsets(inputs, offsets, grid_offset):
         offset_params = [osparam for osparam in offset_layer.all_params if osparam not in layer.all_params]
         offset_layers = [oslayer for oslayer in offset_layer.all_layers if oslayer not in layer.all_layers]
 
-        self.all_params.extend(offset_params)
-        self.all_layers.extend(offset_layers)
-        self.all_drop.update(offset_layer.all_drop)
+        self.all_params.extend(list(offset_params))
+        self.all_layers.extend(list(offset_layers))
+        self.all_drop.update(dict(offset_layer.all_drop))
 
         # this layer
         self.all_layers.extend([self.outputs])