I installed TensorFlow on my Ubuntu 15.10 machine as instructed for CPU only:
$ pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
Then when I run the Python REPL and import tensorflow, I get:
$ python Python 2.7.10 (default, Oct 14 2015, 16:09:02) [GCC 5.2.1 20151010] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import tensorflow as tf Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/phil/.local/lib/python2.7/site-packages/tensorflow/__init__.py", line 4, in <module> from tensorflow.python import * File "/home/phil/.local/lib/python2.7/site-packages/tensorflow/python/__init__.py", line 13, in <module> from tensorflow.core.framework.graph_pb2 import * File "/home/phil/.local/lib/python2.7/site-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 "/home/phil/.local/lib/python2.7/site-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 "/home/phil/.local/lib/python2.7/site-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 "/home/phil/.local/lib/python2.7/site-packages/tensorflow/core/framework/tensor_shape_pb2.py", line 22, in <module> serialized_pb=_b('\n,tensorflow/core/framework/tensor_shape.proto \x12\ntensorflow\"d\n\x10TensorShapeProto\x12-\n\x03\x64im\x18\x02 \x03(\x0b\x32 .tensorflow.TensorShapeProto.Dim\x1a!\n\x03\x44im\x12\x0c\n\x04size\x18\x01 \x01(\x03\x12\x0c\n\x04name\x18\x02 \x01(\tb\x06proto3') TypeError: __init__() got an unexpected keyword argument 'syntax'
I have the Ubuntu protobuf-compiler package installed and it's version 2.6.1-1.2
Several users have reported issues that arise when an older version of protobuf is installed.
TensorFlow requires (and uses a copy of) protobuf-3.0.0a4. However it seems to be conflicting with your installed version (perhaps due to how the PYTHONPATH environment variable is configured on your system?). Can you try uninstalling the python-protobuf
package if it is installed, and then seeing if TensorFlow starts correctly?
Some users have had success when using a virtualenv. For instructions on installing TensorFlow into a virtualenv, see the getting started guide.
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