code: def testSelectEverything(self):
      ops.reset_default_graph()
      outfile = os.path.join(test.get_temp_dir(), "dump")
      opts = (
          builder(builder.trainable_variables_parameter())
          .with_file_output(outfile)
          .with_accounted_types([".*"])
          .select(
              [
                  "params",
                  "float_ops",
                  "occurrence",
                  "device",
                  "op_types",
                  "input_shapes",
              ]
          )
          .build()
      )
  
      with session.Session(
          config=self._no_rewrite_session_config()
      ) as sess, ops.device("/device:CPU:0"):
          x = lib.BuildSmallModel()
  
          self.evaluate(variables.global_variables_initializer())
          run_meta = config_pb2.RunMetadata()
          _ = sess.run(
              x,
              options=config_pb2.RunOptions(
                  trace_level=config_pb2.RunOptions.FULL_TRACE
              ),
              run_metadata=run_meta,
          )
  
          model_analyzer.profile(sess.graph, run_meta, options=opts)
  
imports: import gzip
  import io
  import os
  import random
  import re
  import numpy
  from tensorflow.core.profiler import profile_pb2
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import rewriter_config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops import while_loop
  from tensorflow.python.platform import gfile
  from tensorflow.python.platform import test
  from tensorflow.python.profiler import model_analyzer
  from tensorflow.python.profiler import option_builder
  from tensorflow.python.profiler import profile_context
  from tensorflow.python.profiler.internal import model_analyzer_testlib
  from tensorflow.python.util import compat
label_desc: Use image node_id 4 for calling the PrintModelAnalysisTest obj's underlying member method code with example usage: obj.testSelectEverything() without return types