Question

只需尝试在Centos 7计算机上运行未经修改的Reference教程。我有yum update机器。安装python3.6，从github中提取教程，下载并解压缩样本数据。其他教程运行。然后我跑：

python3.6 ptb_word_lm.py --data_path=simple-examples/data/

返回：

Traceback (most recent call last):
  File "ptb_word_lm.py", line 374, in <module>
    tf.app.run()
  File "/usr/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 43, in run
    sys.exit(main(sys.argv[:1] + flags_passthrough))
  File "ptb_word_lm.py", line 334, in main
    train_input = PTBInput(config=config, data=train_data, name="TrainInput")
  File "ptb_word_lm.py", line 94, in __init__
    data, batch_size, num_steps, name=name)
  File "/root/tensorflow/models/tutorials/rnn/ptb/reader.py", line 117, in ptb_producer
    [batch_size, (i + 1) * num_steps])
TypeError: strided_slice() missing 1 required positional argument: 'strides'

作为总NOOB，我完全陷入了困境！有人可以帮忙吗？

Answer 1

根据上述问题的评论，我安装了TensorFlow 1.0.0rc1。我使用了pip3.6，但是当我在Centos上时，OS Setup guide没有解决它，所以我不得不尝试每次下载：

(tensorflow) [tensorflow]# export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp35-cp35m-linux_x86_64.whl
(tensorflow) [tensorflow]# pip3.6 install --upgrade $TF_BINARY_URL
tensorflow-1.0.0rc1-cp35-cp35m-linux_x86_64.whl is not a supported wheel on this platform.
(tensorflow) [tensorflow]# export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp34-cp34m-linux_x86_64.whl
(tensorflow) [tensorflow]# pip3.6 install --upgrade $TF_BINARY_URL
tensorflow-1.0.0rc1-cp34-cp34m-linux_x86_64.whl is not a supported wheel on this platform.
(tensorflow) [tensorflow]# export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp27-none-linux_x86_64.whl
(tensorflow) [tensorflow]# pip3.6 install --upgrade $TF_BINARY_URL
tensorflow-1.0.0rc1-cp27-none-linux_x86_64.whl is not a supported wheel on this platform.
(tensorflow) [tensorflow]# export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp33-cp33m-linux_x86_64.whl
(tensorflow) [tensorflow]# pip3.6 install --upgrade $TF_BINARY_URL
tensorflow-1.0.0rc1-cp33-cp33m-linux_x86_64.whl is not a supported wheel on this platform.
(tensorflow) [tensorflow]# export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp36-cp36m-linux_x86_64.whl
(tensorflow) [tensorflow]# pip3.6 install --upgrade $TF_BINARY_URL
    Collecting tensorflow==1.0.0rc1 from https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp36-cp36m-linux_x86_64.whl
  Downloading https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc1-cp36-cp36m-linux_x86_64.whl (43.5MB)
    100% |████████████████████████████████| 43.5MB 28kB/s 
Requirement already up-to-date: six>=1.10.0 in /usr/lib/python3.6/site-packages (from tensorflow==1.0.0rc1)
Requirement already up-to-date: wheel>=0.26 in /usr/lib/python3.6/site-packages (from tensorflow==1.0.0rc1)
Requirement already up-to-date: protobuf>=3.1.0 in /usr/lib/python3.6/site-packages (from tensorflow==1.0.0rc1)
Requirement already up-to-date: numpy>=1.11.0 in /usr/lib64/python3.6/site-packages (from tensorflow==1.0.0rc1)
Requirement already up-to-date: setuptools in /usr/lib/python3.6/site-packages (from protobuf>=3.1.0->tensorflow==1.0.0rc1)
Requirement already up-to-date: packaging>=16.8 in /usr/lib/python3.6/site-packages (from setuptools->protobuf>=3.1.0->tensorflow==1.0.0rc1)
Requirement already up-to-date: appdirs>=1.4.0 in /usr/lib/python3.6/site-packages (from setuptools->protobuf>=3.1.0->tensorflow==1.0.0rc1)
Requirement already up-to-date: pyparsing in /usr/lib/python3.6/site-packages (from packaging>=16.8->setuptools->protobuf>=3.1.0->tensorflow==1.0.0rc1)
Installing collected packages: tensorflow
  Found existing installation: tensorflow 0.12.1
    Uninstalling tensorflow-0.12.1:
      Successfully uninstalled tensorflow-0.12.1
Successfully installed tensorflow-1.0.0rc1

因此RHEL/Centos的正确网址为：tensorflow-1.0.0rc1-cp36-cp36m-linux_x86_64.whl。运行以下命令验证升级：

(tensorflow) [tensorflow]# python3.6 -c 'import tensorflow as tf; print(tf.__version__)'
1.0.0-rc1

现在再次运行教程，TypeError已消失，但被AttributeError取代：

(tensorflow) [tensorflow]# python3.6 ptb_word_lm.py --data_path=simple-examples/data/
Traceback (most recent call last):
  ...
  File "ptb_word_lm.py", line 149, in __init__
     output = tf.reshape(tf.concat_v2(outputs, 1), [-1, size])
AttributeError: module 'tensorflow' has no attribute 'concat_v2'

原来两个tensorflow API发生了变化：

concat_v2消失，只需更换：concat
同样，scalar_summary已重命名为：summary.scalar。 ptb_word_lm.py

修改ptb_word_lm.py以进行上述两项更改，现在教程应该正确运行！

从Tensorflow运行RNN教程的TypeError

1 个答案: