code: def testLargeShape(self):
      with self.session():
          v = variables.Variable(
              array_ops.zeros(dtype=dtypes.float32, shape=[2**33, 1])
          )
          n = random_ops.truncated_normal(v.shape)
          self.assertEqual([8589934592, 1], n.shape.as_list())
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_random_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the TruncatedNormalTest obj's underlying member method code with example usage: obj.testLargeShape() without return types