class_docstr: Abstract class for TensorFlow model loader.
class_docstr_tok: ["Abstract","class","for","TensorFlow","model","loader","."]
docstr: Load NetworkEnsemble (TFSSA) and parse into MIL program.
docstr_tok: ["Load","NetworkEnsemble","(","TFSSA",")","and","parse","into","MIL","program","."]
code: def _program_from_tf_ssa(self):
      """Load NetworkEnsemble (TFSSA) and parse into MIL program."""
      pass
  
imports: import gc
  import os
  from distutils.version import StrictVersion
  from tempfile import mktemp
  import tensorflow
  from tqdm import tqdm
  from coremltools import _logger
  from coremltools._deps import _get_version
  from coremltools.converters._profile_utils import _profile
  from .._utils import get_output_names
  from .basic_graph_ops import fill_outputs
  from .converter import TFConverter
  from .parsed_tf_node import ParsedTFNode
  from .tf_graph_pass import cond_to_where, constant_propagation, delete_asserts, delete_disconnected_nodes, delete_unnecessary_constant_nodes, functionalize_loops, fuse_dilation_conv, insert_get_tuple, quantization_pass, remove_variable_nodes, tensor_array_resource_removal
  from .tfssa import NetworkEnsemble, SSAFunction
label_desc: Use image node_id 5 for calling the TFLoader obj's underlying member method code with example usage: obj._program_from_tf_ssa() without return types