module has no attribute field ( Solved )

Module has no attribute field

Module has no attribute field error occurs because of internal directory structure change in torchtext in 0.9.0 version. Especially while importing in recent modules it fails and throws the same error. Actually while developing any code base we all take references from the internet. Accidently we take the reference of any older version and in our system, we keep the latest version. This creates incompatibility and throws the attribute error. This is the root cause mostly for all types of attribute errors. Anyways In this article, we will explore the best way to fix has no attribute field error.

module has no attribute field ( Solution ) –

In the beginning section, we have already understood the generic root cause for this error. If you think wisely, There are two approaches to resolve incompatibility.

Solution 1: Changing Import statement –

As we explained at the start, The internal directory structure change is the cause of this error. Now let’s see what is exactly changes. field has been migrated to Hence we need to make changes like the below in our import statement.-

from torchtext.legacy import data

The rest of the code base is the same and compatible. Most Importantly, This will work when you are using torchtext 0.9.0 version or above. Here is the release notes for PyTorchText.

module has no attribute field
module has no attribute field

Solution 2: Downgrading the version –

We all know either we can make our code base align with the current library version in the system. Else we adjust the library’s version as per the code base we are running. Here we will downgrade the version for TorchText to either 0.8.1 or lower.

torchtext lower version
torchtext lower version

In order to achieve the same, You may use the below command ( pip ).

pip install torchtext==0.8.1

You can change the version to lower as per the screenshot above.

Finally, I hope now you can resolve this error. In case you are still stuck, please let us know via comment.


Data Science Learner Team

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