backward gradient is vanished

Hi，thanks for your excellent work, and I'm focused on the work for a period. I think the core is Gradient optimization. But still then I haven't reproduce your experiment. Could you provide a little advice to me?

I build the network with the block that mentioned in your paper (B->A->C->P). and Backward is using full precision data (weights&gradient) for ||r|| < 1.