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Ich konnte Tensorflow installieren und führen Sie das Convolutional.py Beispiel. jedoch, wenn ich gehen, um das Beispiel Wide and Deep net tutorial, iTensorflow nicht weit und tief Netzwerk-Tutorial
% 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'
Die Ausgabe erhalten den folgenden Fehler zu führen, die in einer similar Frage aufgeworfen wurden, schlug einige protobuf deinstallieren und installieren Sie es nach tensorflow installieren, aber es hat nicht Hilfe in meinem Fall würde ich sehr schätzen, wenn jemand helfen könnte.
Versuchen Sie, 'dense_shape' durch' shape' zu ersetzen. Ich denke, dass es in einer zukünftigen Version der API '' dichte_form '' genannt wird. – kempy
Es hat funktioniert, ich denke, wenn ich dichte_shape verwenden sollte, hätte ich direkt von github auschecken sollen – Eliethesaiyan