TypeError: Unexpected keyword argument passed to optimizer: learning_rate

Question

I am trying to load a Keras model which was trained on an Azure VM (NC promo). But I am getting the following error.

TypeError: Unexpected keyword argumen

Answer 1

This happened to me too. Most likely because the learning_rate was renamed from version 2.2.* to 2.3.0 in September 2018. (see release notes: https://github.com/keras-team/keras/releases : Rename lr to learning_rate for all optimizers. )

This worked for me:

sudo pip install keras --upgrade 

Answer 2

Did you use a custom optimizer?

If so, you can load like this:

model = load_model('my_model_name.h5', custom_objects={
    'Adam': lambda **kwargs: hvd.DistributedOptimizer(keras.optimizers.Adam(**kwargs))
})

Alternatively you can load your model with model = load_model('my_model_name.h5', compile=False) and then add an optimizer and recompile, but that will lose your saved weights.

Answer 3

Similar to Chayan Bansal, what fixed it for me was to update my Tensorflow-GPU library.

If you're using Anaconda with tensorflow-gpu installed, open the Anaconda prompt, activate the virtual environment you're using, and enter "conda update tensorflow-gpu"

Answer 4

I was running into the same thing. You will have to upgrade to Tensorlfow 2.0 and Keras, or match the two systems together.

Answer 5

I had the same problem. Using Keras version 2.3.1 and TensorFlow-GPU version 1.13, I had to upgrade Tensorflow-GPU to version 1.15

pip uninstall tensorflow-gpu
pip install tensorflow-gpu==1.15

Answer 6

I've had a similar problem.

You you have this issue, try to use lr instead of learning_rate when defining the learning rate in your optimizer.