I have the following code which uses TensorFlow. After I reshape a list, it says
AttributeError: \'Tensor\' object has no attribute \'shape\'
Use tf.shape(tensor)
, or tf.get_shape(tensor)
.
UPDATE: Since TensorFlow 1.0, tf.Tensor
now has a tf.Tensor.shape property, which returns the same value as tf.Tensor.get_shape().
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))