code: def get_func_inputs(self):
      if len(self.func_input_stack) == 0:
          raise ValueError("No func input available")
      return self.func_input_stack[-1]
  
imports: import six
  import logging
  from coremltools.converters.mil.input_types import InputType, TensorType, ImageType, RangeDim, _get_shaping_class
  from coremltools.converters.mil.input_types import Shape
  from coremltools.converters.mil.mil.var import Var
  from coremltools.converters.mil.mil import get_new_symbol
  from coremltools.converters.mil.mil.types.symbolic import is_symbolic
  from coremltools.converters.mil.mil import types
  from .basic_graph_ops import topsort, simple_topsort
  from .convert_utils import convert_graph
  from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.mil import Program
  from coremltools.converters.mil.mil import Function
  from .ssa_passes.tf_passes import tensorflow_passes
  from coremltools.converters._profile_utils import _profile
label_desc: Use image node_id 7 for calling the TranscriptionContext obj's underlying member method code with example usage: obj.get_func_inputs() and returns: self