Скачать или смотреть How to Fix DLL Load Failed Error When Importing TensorFlow and TFLearn in Python

Resolve the common issue of `DLL load failed` when using TensorFlow and TFLearn in Python 3.6 by downgrading your TensorFlow installation to maintain compatibility.
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Fixing the DLL Load Failed Error with TensorFlow and TFLearn

If you are trying to create a chatbot in Python and you've encountered the ImportError: DLL load failed error after installing TensorFlow and TFLearn, you're not alone. This is a common problem for users trying to get these libraries up and running, especially with certain Python versions. In this guide, we will explore the issue in detail and provide a step-by-step solution to get you back on track with your project.

Understanding the Issue

You attempted to run the following code for your chatbot setup:

[[See Video to Reveal this Text or Code Snippet]]

However, when running this code, you faced the following error message:

[[See Video to Reveal this Text or Code Snippet]]

What Causes the Error?

The error typically arises from a compatibility issue between TFLearn and the version of TensorFlow installed on your machine. As of now, TFLearn supports TensorFlow version up to 1.2. If you have installed a newer version, such as TensorFlow 2.x, this can lead to the errors you're experiencing.

Solution: Downgrading TensorFlow

To resolve this issue and ensure compatibility, you need to downgrade your TensorFlow version. Follow these steps to do so:

Step 1: Uninstall Current TensorFlow

Before installing an older version of TensorFlow, it's essential first to remove the current installation. Open your command line interface (CLI) and run the following commands:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Install TensorFlow 1.x

Now, you can install TensorFlow version 1.15, which is the last version in the 1.x series. Use the command below:

[[See Video to Reveal this Text or Code Snippet]]

This installation will provide the necessary support for TFLearn and resolve the ImportError issues you were facing.

Verifying Your Installation

After installing TensorFlow 1.15, re-run your chatbot code snippet to verify that everything is working correctly. If you don't see the import errors anymore, congratulations! You've successfully fixed the issue and can continue developing your chatbot.

Conclusion

Encountering the ImportError: DLL load failed message can be frustrating, especially when you are eager to move forward with your project. However, by understanding the compatibility issues between TensorFlow and TFLearn and downgrading TensorFlow to version 1.15, you can resolve the problem.

Don't hesitate to reach out if you have further questions or face other issues. Happy coding!