code: def add_and_act(h, h_ff, bias, activation):
      if iscontiguous(h) and iscontiguous(h_ff) and iscontiguous(bias):
          if isinstance(activation, Rectlinclip) and (
              activation.slope == 0
          ):
              _h = ffi.cast("float *", ffi.from_buffer(h))
              _h_ff = ffi.cast("float *", ffi.from_buffer(h_ff))
              _bias = ffi.cast("float *", ffi.from_buffer(bias))
              NervanaObject.be.mathlib.cmath_add_and_act(
                  _h,
                  _h_ff,
                  _bias,
                  h.shape[0],
                  h.shape[1],
                  activation.xcut,
              )
              return True
          else:
              return False
      else:
          return False
  
imports: import sys
  import numpy
  from cffi import FFI
  from neon import NervanaObject
  from neon.transforms import Rectlinclip
label_desc: Use image node_id 25 for calling a global function with example usage: add_and_act(h, h_ff, bias, activation) and returns: False, True, False