# python-tensorflowHow can I convert a Tensor object to a list in Python using TensorFlow?

To convert a Tensor object to a list in Python using TensorFlow, you can use the `tf.compat.v1.Session()`

and `eval()`

functions. The example code below shows how to do this:

```
import tensorflow as tf
# Create a Tensor object
tensor = tf.constant([[1,2,3], [4,5,6], [7,8,9]])
# Create a session
sess = tf.compat.v1.Session()
# Convert Tensor to a list
list_tensor = sess.run(tensor).tolist()
# Print the list
print(list_tensor)
```

## Output example

`[[1, 2, 3], [4, 5, 6], [7, 8, 9]]`

The code above consists of the following parts:

`import tensorflow as tf`

: This imports the TensorFlow library into the current Python session.`tensor = tf.constant([[1,2,3], [4,5,6], [7,8,9]])`

: This creates a Tensor object.`sess = tf.compat.v1.Session()`

: This creates a session in which the Tensor object can be evaluated.`list_tensor = sess.run(tensor).tolist()`

: This evaluates the Tensor object and converts it to a list.`print(list_tensor)`

: This prints the list.

For more information about converting Tensor objects to lists in TensorFlow, please see the TensorFlow documentation.

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