Attributeerror: module ‘tensorflow.keras.layers’ has no attribute ‘multiheadattention’

In this TensorFlow tutorial, I will show you how to fix the error Attributeerror: module ‘tensorflow.keras.layers’ has no attribute ‘multiheadattention’.

In this tutorial, I have explained the solution to this error; the solution is based on the version of TensorFlow. Additionally, I have explained what you can do to avoid this error in the near future.

Attributeerror: module ‘tensorflow.keras.layers’ has no attribute ‘multiheadattention’

The error Attributeerror: module ‘tensorflow.keras.layers’ has no attribute ‘multiheadattention’ means, the module ‘tensorflow.keras.layers’ doesn’t contain any attribute multiheadattention.

This error is caused by the version of TensorFlow you are using. You get the error if you use the code below in TensorFlow version 2.3.

from tensorflow.keras.layers import MultiHeadAttention

The MultiHeadAttention attribute was introduced in TensorFlow version 2.4 in the submodule tensorflow.keras.layers. This means you are trying to use an attribute that didn’t exist before version 2.4.

To access the MultiHeadAttention attribute, you must install the TensorFlow version 2.4 or above.

So first, uninstall the current version of TensorFlow using the below command.

pip uninstall tensorflow # for terminal
!pip uinstall tensorflow  # for jupyter notebook

Then, execute the code below to install the latest version of Tensorflow or 2.4.

pip install tensorflow # for terminal
!pip install tensorflow # for jupyter notebook

Then access the MultiHeadAttention from the tensorflow.keras.layers submodule as shown below.

from tensorflow.keras.layers import MultiHeadAttention

print(MultiHeadAttention)
Solution to Attributeerror module 'tensorflow.keras.layers' has no attribute 'multiheadattention'

When you execute the code, it successfully imports the attribute MultiHeadAttention, as seen in the above output.

Below, I have shown an example of how to use the attribute MultiHeadAttention correctly.

import tensorflow as tf
layer = tf.keras.layers.MultiHeadAttention(num_heads=2, key_dim=2, attention_axes=(2, 3))
input_tensor = tf.keras.Input(shape=[17, 28, 38, 89])
output_tensor = layer(input_tensor, input_tensor)
print(output_tensor.shape)
Complete Solution to Attributeerror module 'tensorflow.keras.layers' has no attribute 'multiheadattention'

The above code shows the correct way to import and use the attribute MultiHeadAttention.

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So, to use the MultiHeadAttention attribute, ensure you have installed TensorFlow version 2.4 or later. Also, remember how to import that attribute, as shown in the above example.

Finally, I suggest you regularly check the TensorFlow documentation for new API changes; before importing or using any attribute or module, ensure you are importing it from the correct module path.

Additionally, if a new version of TensorFlow comes, always update or adapt your code to the latest version of TensorFlow.

At last, I hope that you understand how to resolve the error Attributeerror: module ‘tensorflow.keras.layers’ has no attribute ‘multiheadattention’.

Conclusion

In this TensorFlow tutorial, you learned how to solve the error Attributeerror: module ‘tensorflow.keras.layers’ has no attribute ‘multiheadattention’.

Where you saw to access the attribute MultiHeadAttention, the tensorflow version must be 2.4 or later.

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