import tensorflow 出错TypeError: init() got an unexpected keyword argument serialized_options

博主在import tensorflow 的时候，出现如下错误：

>>> import tensorflow as tf
Traceback (most recent call last):
File \"\", line 1, in 
File \"/usr/local/lib/python3.4/dist-packages/tensorflow/init.py\", line 22, in 
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-im port
File \"/usr/local/lib/python3.4/dist-packages/tensorflow/python/init.py\", l ine 52, in 
from tensorflow.core. work.graph_pb2 import *
File \"/usr/local/lib/python3.4/dist-packages/tensorflow/core/ work/graph_p b2.py\", line 15, in 
from tensorflow.core. work import node_def_pb2 as tensorflow_dot_core_do t_ work_dot_node__def__pb2
File \"/usr/local/lib/python3.4/dist-packages/tensorflow/core/ work/node_de f_pb2.py\", line 15, in 
from tensorflow.core. work import attr_value_pb2 as tensorflow_dot_core_ dot_ work_dot_attr__value__pb2
File \"/usr/local/lib/python3.4/dist-packages/tensorflow/core/ work/attr_va lue_pb2.py\", line 15, in 
from tensorflow.core. work import tensor_pb2 as tensorflow_dot_core_dot_  work_dot_tensor__pb2
File \"/usr/local/lib/python3.4/dist-packages/tensorflow/core/ work/tensor_ pb2.py\", line 15, in 
from tensorflow.core. work import resource_handle_pb2 as tensorflow_dot_ core_dot_ work_dot_resource__handle__pb2
File \"/usr/local/lib/python3.4/dist-packages/tensorflow/core/ work/resourc e_handle_pb2.py\", line 22, in 
serialized_pb=_b(\'\\n/tensorflow/core/ work/resource_handle.proto\\x12\\nte nsorflow\"r\\n\\x13ResourceHandleProto\\x12\\x0e\\n\\x06\\x64\\x65vice\\x18\\x01 \\x01(\\t\\x 12\\x11\\n\\tcontainer\\x18\\x02 \\x01(\\t\\x12\\x0c\\n\\x04name\\x18\\x03 \\x01(\\t\\x12\\x11\\n\\ thash_code\\x18\\x04 \\x01(\\x04\\x12\\x17\\n\\x0fmaybe_type_name\\x18\\x05 \\x01(\\tBn\\n\\x1 8org.tensorflow. workB\\x0eResourceHandleP\\x01Z=github.com/tensorflow/tensorf low/tensorflow/go/core/ work\\xf8\\x01\\x01\\x62\\x06proto3\')
TypeError: init() got an unexpected keyword argument \'serialized_options\'

分析原因：出现这个问题，博主认为主要以为TensorFlow版本与protobuf版本不匹配的原因。

解决办法：首先输入命令  conda list  查看你TensorFlow版本与protobuf版本，如果你使用的是tensorflow 1.8或更早版本，请使用protobuf 3.4或更早版本。博主亲测，TensorFlow1.8与protobuf3.4匹配。如果您使用的是TF 1.9或更高版本，请使用最新版本的protobuf。目前最新好像是3.6.

tensorflow 1.11.0必须要求protobuf> = 3.6.0

方法1：先卸载：

pip uninstall protobuf

重新安装protobuf:

pip install -U protobuf

方法2：

pip3 uninstall protobuf 
pip3 uninstall tensorflow （卸载之前版本）
pip3 install tensorflow == 1.9.0（安装protobuf-3.6.0 tensorflow-1.5.0）

 总之，TensorFlow版本与protobuf版本，必须要匹配，可以降低TensorFlow版本。亲测的版本是：TensorFlow1.9与protobuf3.6匹配。TensorFlow1.8与protobuf3.4匹配。至于其他的，可以慢慢试那种搭配合适。