Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error **TensorFlow: AttributeError: ‘Tensor’ object has no attribute ‘shape’** **in python**. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

Table of Contents

## How TensorFlow: AttributeError: ‘Tensor’ object has no attribute ‘shape’ Error Occurs?

Today I get the following error **TensorFlow: AttributeError: ‘Tensor’ object has no attribute ‘shape’** **in python**.

## How To Solve TensorFlow: AttributeError: ‘Tensor’ object has no attribute ‘shape’ Error ?

**How To Solve TensorFlow: AttributeError: 'Tensor' object has no attribute 'shape' Error ?**To Solve TensorFlow: AttributeError: 'Tensor' object has no attribute 'shape' Error

`import tensorflow as tf`

and replace`train_data.shape`

with`tf.Session.run(tf.rank(train_data))`

**TensorFlow: AttributeError: 'Tensor' object has no attribute 'shape'**To Solve TensorFlow: AttributeError: 'Tensor' object has no attribute 'shape' Error

`import tensorflow as tf`

and replace`train_data.shape`

with`tf.Session.run(tf.rank(train_data))`

## Solution 1

**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 `"?"`

).

## Solution 2

import tensorflow as tf

and replace `train_data.shape`

with `tf.Session.run(tf.rank(train_data))`

**Summery**

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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