code: def _should_use_coo(a, sparsity):
      if not a.is_cuda:
          return False
      B, M, K = a.shape
      # amortize overhead of converting from csr to coo
      if B < 32 and M < 4096:
          return False
      if sparsity > 0.995:
          return False
      if sparsity < 0.9:
          return False
      if K > 64:
          return False
      # let's be overly cautious here for now
      return sparsity > 0.97
  
file_path: xformers/xformers/sparse/_csr_ops.py
imports: import torch
  from .utils import _csr_to_coo, _transpose_with_info
label_desc: Use image node_id 1 for calling a global function with example usage: _should_use_coo(a, sparsity) and returns: unknown, False, False, False, False, False