我成功安装了Tensorflow并运行了convolutional.py示例。 但是，当我运行示例Wide and Deep net tutorial时，我收到以下错误
% python wide_deep_tutorial.py
Training data is downloaded to /tmp/tmpr3k3fwnc
Test data is downloaded to /tmp/tmpzxhrdh00
model directory = /tmp/tmpg_s1yutm
WARNING:tensorflow:The default value of combiner will change from "sum" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:The default value of combiner will change from "sum" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:The default value of combiner will change from "sum" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:The default value of combiner will change from "sum" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:The default value of combiner will change from "sum" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:The default value of combiner will change from "sum" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:The default value of combiner will change from "sum" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:The default value of combiner will change from "sum" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:The default value of combiner will change from "sum" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:The default value of combiner will change from "mean" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:The default value of combiner will change from "mean" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:The default value of combiner will change from "mean" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:The default value of combiner will change from "mean" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:The default value of combiner will change from "mean" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:The default value of combiner will change from "mean" to "sqrtn" after 2016/11/01.
WARNING:tensorflow:From /home/eliethesaiyan/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn_linear_combined.py:711 in fit.: calling BaseEstimator.fit (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /home/eliethesaiyan/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn_linear_combined.py:711 in fit.: calling BaseEstimator.fit (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /home/eliethesaiyan/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn_linear_combined.py:711 in fit.: calling BaseEstimator.fit (from tensorflow.contrib.learn.python.learn.estimators.estimator) with batch_size is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
est = Estimator(...) -> est = SKCompat(Estimator(...))
Traceback (most recent call last):
File "wide_deep_tutorial.py", line 208, in <module>
tf.app.run()
File "/home/eliethesaiyan/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 43, in run
sys.exit(main(sys.argv[:1] + flags_passthrough))
File "wide_deep_tutorial.py", line 204, in main
train_and_eval()
File "wide_deep_tutorial.py", line 197, in train_and_eval
m.fit(input_fn=lambda: input_fn(df_train), steps=FLAGS.train_steps)
File "/home/eliethesaiyan/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn_linear_combined.py", line 711, in fit
max_steps=max_steps)
File "/home/eliethesaiyan/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/util/deprecation.py", line 191, in new_func
return func(*args, **kwargs)
File "/home/eliethesaiyan/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 355, in fit
max_steps=max_steps)
File "/home/eliethesaiyan/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 690, in _train_model
features, labels = input_fn()
File "wide_deep_tutorial.py", line 197, in <lambda>
m.fit(input_fn=lambda: input_fn(df_train), steps=FLAGS.train_steps)
File "wide_deep_tutorial.py", line 159, in input_fn
for k in CATEGORICAL_COLUMNS}
File "wide_deep_tutorial.py", line 159, in <dictcomp>
for k in CATEGORICAL_COLUMNS}
TypeError: __init__() got an unexpected keyword argument 'dense_shape'
在similar问题中提出的问题最多，有些人建议卸载protobuf并在安装tensorflow后安装它，但在我的情况下它没有帮助，如果有人可以提供帮助，我会非常感激。< / p>
答案 0 :(得分：5)
TL; DR：确保运行与已安装的TensorFlow版本匹配的wide_n_deep_tutorial.py版本。例如，如果安装了TensorFlow 0.12，则可以下载version from the r0.12 branch。
文件wide_n_deep_tutorial.py在TensorFlow的主分支中为recently changed，以反映API中的更改（在评论中为points out tf.SparseTensor.shape，tf.SparseTensor.dense_shape正在变为{{ 1}}在 next 版本中。）