with fp16 accumulation type) are allowed with fp16 GEMMs.
torch.backends.cuda.matmul.allow_bf16_reduced_precision_reduction
A "bool" that controls whether reduced precision reductions are
   allowed with bf16 GEMMs.
torch.backends.cuda.cufft_plan_cache
"cufft_plan_cache" caches the cuFFT plans
size
  A readonly "int" that shows the number of plans currently in the
  cuFFT plan cache.

torch.backends.cuda.max_size
  A "int" that controls cache capacity of cuFFT plan.

torch.backends.cuda.clear()
  Clears the cuFFT plan cache.

torch.backends.cuda.preferred_linalg_library(backend=None)
Warning:
 This flag is experimental and subject to change.

When PyTorch runs a CUDA linear algebra operation it often uses the
   cuSOLVER or MAGMA libraries, and if both are available it decides
   which to use with a heuristic. This flag (a "str") allows
   overriding those heuristics.

If "cusolver" is set then cuSOLVER will be used wherever
     possible.
