How to Fix AttributeError: module ‘tensorflow’ has no attribute ‘gfile’

Diagram of How to Fix AttributeError: module 'tensorflow' has no attribute 'gfile'

Diagram

AttributeError: module ‘tensorflow’ has no attribute ‘gfile’ error typically occurs because you are “using TensorFlow version 2.0, and in this version, the gfile attribute is not accessible as tf.gfile.”

In older versions of TensorFlow (1.x), gfile was accessible as tf.gfile. However, starting with TensorFlow 2.x, the gfile interface has been moved to tf.io.gfile.

Here are some common methods and how they have changed:

Old Syntax (TensorFlow 1.x)

  1. tf.gfile.GFile
  2. tf.gfile.Exists
  3. tf.gfile.Remove
  4. tf.gfile.Rename

New Syntax (TensorFlow 2.x)

  1. tf.io.gfile.GFile
  2. tf.io.gfile.exists
  3. tf.io.gfile.remove
  4. tf.io.gfile.rename

How to fix the ‘Module ‘tensorflow’ has no attribute ‘gfile’’ error

Here are the ways to fix the error:

  1. Updating the TensorFlow version
  2. Changing import statement
  3. Downgrading Tensorflow to 1.13.1 or lower (Not Optimal)

Solution 1: Updating the tensorflow version

The most effortless way to fix the error is to update your TensorFlow version to a version that is compatible with your current version.

Check the version of TensorFlow you’re currently using by running the following command:

import tensorflow as tf

print(tf.__version__)

Output

2.13.0

If your TensorFlow version is not compatible, you can use the below command to update it to the specific version.

pip install tensorflow==<desired version>

Solution 2: Changing the import statement

If you are using TensorFlow version 2.x like me, then you need to import gfile like this:

tf.io.gfile.GFile

Solution 3: Downgrading Tensorflow to 1.13.1 or lower (Not recommended)

Downgrading the tensorflow version is never a good solution, but if you are stuck in a situation where you don’t have any option, then you can downgrade your version to 1.x, and it will fix the error.

pip install tensorflow==1.13.1

I hope one of these solutions will fix the error!

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