title: Is it possible to see that kernel execution happened on Tensor Cores or not via nvprof (or some other method)?
body: <p>I'm trying to identify bottlenecks in GPU execution performance for deep learning models on Titan V / V100.
  I understand that certain requirements must be met for the underlying kernel execution to be performed on Tensor Cores based on <a href="https://devblogs.nvidia.com/parallelforall/programming-tensor-cores-cuda-9/" rel="nofollow noreferrer">https://devblogs.nvidia.com/parallelforall/programming-tensor-cores-cuda-9/</a></p>
  
  <p>"nvprof" provides an easy way to dump all the kernel executions on GPU, but it does not seem to say whether Tensor Cores were actually used or not.
  Is that a way to capture such info?</p>