code: def _convert_global_pooling3d(
      inexpr, keras_layer, etab, data_layout, input_shape=None
  ):  # pylint: disable=unused-argument
      _check_data_format(keras_layer)
      pool_type = type(keras_layer).__name__
  
      global_pool_params = {"layout": data_layout}
      if pool_type == "GlobalMaxPooling3D":
          out = _op.nn.global_max_pool3d(inexpr, **global_pool_params)
      elif pool_type == "GlobalAveragePooling3D":
          out = _op.nn.global_avg_pool3d(inexpr, **global_pool_params)
      else:
          raise tvm.error.OpNotImplemented(
              f"Operator {keras_layer} is not supported for frontend Keras."
          )
  
      return _convert_flatten(
          out, keras_layer, etab, input_shape, data_layout
      )
  
imports: import dis
  import sys
  import numpy
  import tvm
  from tvm.ir import IRModule, TensorType, TupleType
  from ..None import analysis
  from ..None import expr
  from ..None import function
  from ..None import op
  from ...None import nd
  from .common import ExprTable, new_var
label_desc: Use image node_id 19 for calling a global function with example usage: _convert_global_pooling3d(inexpr, keras_layer, etab, data_layout, input_shape) and returns: _convert_flatten