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def custom_loss(y, f, Qsim_t): # tf.cast(y, tf.float32) # tf.cast(f, tf.float32) x_std = (y-min_v)/(max_v-min_v) y = x_std*(f1-f2) + f2 x_std = (f-min_v)/(max