Cannot train model on multiple GPU

[cuongnc220592]

I have tried to use multi_gpu_model function to train on multiple GPU.
But when I edit the code as: training_model = multi_gpu_model(model, gpus=2), I got this error
The name "masks" is used 2 times in the model. All layer names should be unique.
I think it is caused from loss function
loss={
'regression' : keras_retinanet.losses.smooth_l1(),
'classification': keras_retinanet.losses.focal(),
'masks' : losses.mask(),
},
Do you have any suggestion to fix it ?
Thanks for your support

[hgaiser]

I've never tried to start a multi-gpu process with keras-maskrcnn. I do know that the keras implementation for multi-gpu is a bit weird and flawed, so don't expect great results..

That said, you could look at how we do it for keras-retinanet: https://github.com/fizyr/keras-retinanet/blob/master/keras_retinanet/bin/train.py