class_docstr: A benchmark class to validate 2 dimensional reduction performance.
  Only a simple add is fused to induce the fuser and isolate reduction perf.
class_docstr_tok: ["A","benchmark","class","to","validate","2","dimensional","reduction","performance",".","Only","a","simple","add","is","fused","to","induce","the","fuser","and","isolate","reduction","perf","."]
code: def instantiate_input(self):
      dim0, dim1 = self.rand_shape([self.dim0, self.dim1])
  
      self.inputs = [
          self.randn(
              [dim0, dim1],
              device=self.device,
              dtype=self.dtype,
              requires_grad=self.requires_grad,
          )
      ]
  
imports: from .None import benchmark
label_desc: Use image node_id 2 for calling the DynamicReduce2DBench obj's underlying member method code with example usage: obj.instantiate_input() without return types