diff --git a/python/pipeline/channel.py b/python/pipeline/channel.py
index a00d8e3a62bd2a332d37fb891c578b2afb0ff901..b7c229ea6f85794849e156524616647f4bc121ec 100644
--- a/python/pipeline/channel.py
+++ b/python/pipeline/channel.py
@@ -127,7 +127,6 @@ class ChannelData(object):
 
     def get_size(self):
         size = 0
-        dict_data = None
         if isinstance(self.dictdata, dict):
             for k in self.dictdata:
                 size += sys.getsizeof(self.dictdata[k]) + sys.getsizeof(k)
diff --git a/python/pipeline/pipeline_client.py b/python/pipeline/pipeline_client.py
index 5585463e8edd859d9e542d22d7bed0da53e7d857..cff7e9c3f77db88c762383b83dc466ed2a8240ae 100644
--- a/python/pipeline/pipeline_client.py
+++ b/python/pipeline/pipeline_client.py
@@ -108,7 +108,9 @@ class PipelineClient(object):
 
                 if isinstance(value, np.ndarray):
                     # copy shape
-                    _LOGGER.info("value shape is {}".format(value.shape))
+                    _LOGGER.debug(
+                        "key:{}, use_tensor_bytes:{}, value.shape:{}, value.dtype:{}".
+                        format(key, use_tensor_bytes, value.shape, value.dtype))
                     for one_dim in value.shape:
                         one_tensor.shape.append(one_dim)
 
@@ -118,6 +120,7 @@ class PipelineClient(object):
                         np.save(np_bytes, value, allow_pickle=True)
                         one_tensor.byte_data = np_bytes.getvalue()
                         one_tensor.elem_type = 13  #13 => bytes in proto
+                        continue
 
                     flat_value = value.flatten().tolist()
                     # copy data