strict_fusion
class torch.jit.strict_fusion
This class errors if not all nodes have been fused in inference, or
   symbolically differentiated in training.
Example:
Forcing fusion of additions.
  @torch.jit.script
  def foo(x):
      with torch.jit.strict_fusion():
          return x + x + x
