torch.backends.mps.is_available()
Returns a bool indicating if MPS is currently available.
Return type:
      bool
torch.backends.mps.is_built()
Returns whether PyTorch is built with MPS support. Note that this
   doesn't necessarily mean MPS is available; just that if this
   PyTorch binary were run a machine with working MPS drivers and
   devices, we would be able to use it.
Return type:
      bool
torch.backends.mkl
torch.backends.mkl.is_available()
Returns whether PyTorch is built with MKL support.
class torch.backends.mkl.verbose(enable)
On-demand oneMKL verbosing functionality To make it easier to debug
   performance issues, oneMKL can dump verbose messages containing
   execution information like duration while executing the kernel. The
   verbosing functionality can be invoked via an environment variable
   named MKL_VERBOSE. However, this methodology dumps messages in
   all steps. Those are a large amount of verbose messages. Moreover,