code: def sigmoid(_outputs):
      return 1.0 / (1.0 + np.exp(-_outputs))
  
file_path: transformers/src/transformers/pipelines/image_classification.py
imports: from typing import List, Union
  import numpy
  from ..utils import ExplicitEnum, add_end_docstrings, is_tf_available, is_torch_available, is_vision_available, logging, requires_backends
  from .base import PIPELINE_INIT_ARGS, Pipeline
label_desc: Use image node_id 1 for calling a global function with example usage: sigmoid(_outputs) and returns: unknown