TensorFlow: AttributeError: 'Tensor' object has no attribute 'shape'

UPDATE: Since TensorFlow 1.0, tf.Tensor now has a tf.Tensor.shape property, which returns the same value as tf.Tensor.get_shape().

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Indeed, in versions prior to TensorFlow 1.0 tf.Tensor doesn't have a .shape property. You should use the Tensor.get_shape() method instead:

train_data = tf.reshape(train_data, [400, 1])
print "train_data.shape: " + str(train_data.get_shape())

Note that in general you might not be able to get the actual shape of the result of a TensorFlow operation. In some cases, the shape will be a computed value that depends on running the computation to find its value; and it may even vary from one run to the next (e.g. the shape of tf.unique()). In that case, the result of get_shape() for some dimensions may be None (or "?").

import tensorflow as tf

and replace train_data.shape with tf.Session.run(tf.rank(train_data))