code: def test_truncated_normal(self):
      shape = (12, 99, 7)
      with self.cached_session():
          for tensor_shape in [
              shape,
              tensor_shape_lib.TensorShape(shape),
          ]:
              self._runner(
                  init_ops.TruncatedNormal(mean=0, stddev=1, seed=126),
                  tensor_shape,
                  target_mean=0.0,
                  target_max=2,
                  target_min=-2,
              )
  
imports: import numpy
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the InitializersTest obj's underlying member method code with example usage: obj.test_truncated_normal() without return types