Loss function gives NaNs in tensorboard histogram

Question

I need to use this loss function

 def loss(x,y,alpha,beta,eps=1e-6,name=None):
     loss = alpha*tf.math.log((0.5*(1+tf.math.exp(beta*(x-y)+eps)))**(2/beta))-(x-y