code: def forward(self, inputs):
      x = self.add(inputs, 0.001)
      y = self.softmax(x, dim=-1, dtype=self.dtype)
      return y
  
file_path: pytorch/benchmarks/tensorexpr/softmax.py
imports: import scipy.special
  from .None import benchmark
label_desc: Use image node_id 2 for calling the SoftmaxBench obj's underlying member method code with example usage: obj.forward(inputs) and returns: y