code: def sigmoid(_outputs):
      return 1.0 / (1.0 + np.exp(-_outputs))
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/pipelines/text_classification.py
imports: import warnings
  from typing import Dict
  import numpy
  from ..utils import ExplicitEnum, add_end_docstrings, is_tf_available, is_torch_available
  from .base import PIPELINE_INIT_ARGS, GenericTensor, Pipeline
label_desc: Use image node_id 1 for calling a global function with example usage: sigmoid(_outputs) and returns: unknown