從源碼上構建的Tensorflow pip在'導入張量流'上失敗

在Ubuntu 15.10，Cuda 7.5，cudnn 4.0，python 2.7上構建tensorflow 0.7源碼。 Bazel build和pip包生成OK。點安裝好吧。 Python腳本「導入張量流」失敗：從源碼上構建的Tensorflow pip在'導入張量流'上失敗

Traceback (most recent call last): 
    File "/home/keith/Desktop/tf1.py", line 8, in <module> 
    import tensorflow as tf 
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/__init__.py", line 23, in <module> 
    from tensorflow.python import * 
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/__init__.py", line 35, in <module> 
    from tensorflow.core.framework.graph_pb2 import * 
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/core/framework/graph_pb2.py", line 16, in <module> 
    from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attr__value__pb2 
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/core/framework/attr_value_pb2.py", line 16, in <module> 
    from tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__pb2 
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/core/framework/tensor_pb2.py", line 16, in <module> 
    from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2 
    File "/usr/local/lib/python2.7/dist-packages/tensorflow/core/framework/tensor_shape_pb2.py", line 22, in <module> 
    serialized_pb=_b('\n,tensorflow/core/framework/tensor_shape.proto\x12\ntensorflow\"z\n\x10TensorShapeProto\x12-\n\x03\x64im\x18\x02 \x03(\x0b\x32 .tensorflow.TensorShapeProto.Dim\x12\x14\n\x0cunknown_rank\x18\x03 \x01(\x08\x1a!\n\x03\x44im\x12\x0c\n\x04size\x18\x01 \x01(\x03\x12\x0c\n\x04name\x18\x02 \x01(\tB/\n\x18org.tensorflow.frameworkB\x11TensorShapeProtosP\x01\x62\x06proto3') 
TypeError: __init__() got an unexpected keyword argument 'syntax'

有什麼想法？謝謝

來源

2016-02-22 Keith Brodie

只是一個猜測：也許你已經安裝了舊版本的protobuf的？也許嘗試使用「-U」安裝pip，看看它是否有所作爲 – Keith

這看起來像一個protobuf庫版本錯誤。這裏有類似的問題很長的一段話： https://github.com/tensorflow/tensorflow/issues/11 接近尾聲時，有一些建議的解決方案可能會有所幫助。

來源

2016-02-22 16:40:57

我用optirun運行的Python使用CUDA加速在manjaro Linux的筆記本電腦上運行TensorFlow 0.7成功：

$optirun python

不過，我曾與protobuf的問題，我不得不卸載/重裝的protobuf的以前版本張量與pip。 http://bit.ly/1RHApU5

來源

2016-03-13 16:03:28

這是因爲protobuf的版本衝突的：我，我已經從apt-get的包管理器安裝的python-protobuf的V2.6.1和在安裝tensorflow從PIP經理安裝protobuf的3.3.0

所以我卸載了兩個：

sudo pip uninstall protobuf 
sudo apt-get remove python-protobuf

使用pip重新安裝，它解決了問題！

sudo pip install protobuf

希望這有助於..

來源

2017-07-27 11:28:55

從源碼上構建的Tensorflow pip在'導入張量流'上失敗

回答

相關問題