Sure.
Rerunning on a V100 32GB (Titan V is currently busy):
Reference (using @albanD’s code + adding torch.cuda.synchronize()):
 =====Test1=====
Discriminator backward :  0.0079403s
Generator backward :  0.0082126s
Hessian vector product :  0.0118001s
=====Test2=====
Discriminator backward :  0.0121739s
Generator backward :  0.0269434s
Hessian vector product :  0.7245934s

I’ve changed the output to seconds, as I believe time.time() calculates the seconds not ms.
Attaching nvprof 4.
Let me know, if you need more profiling output etc.