Error compiling Keras model to ml.

I'm trying to convert a custom Keras model to ml model, via this code below:

##package versions
Keras version: 2.1.2
CoreML = 2.01b
tensorflow -1.10

Import coremltools from keras.models 
import load_model   
model = load_model('dummy.hdf5')  
print(model.summary())  
Coreml_model = coremltools.converters.keras.convert(model)

However I'm running into this error:

RuntimeError: Error compiling model: "compiler error: Invalid data blob: 'block1_conv1_output' shape (C,H,W = 32,0,0) for output of layer: 'block1_conv1'

If I run the model (for inference etc) there are no errors, it's just converting it to a coreml model that's outputting the error. So there doesn't seem to be a problem with the model itself.

Here is a dummy model I've created with which I'm having the same problem:

https://drive.google.com/open?id=1gchckYmIeDFCwUAEDXKM-An3K1VQ4DuW

Thank you.

Any suggestions?

Thank you.