code: def testCreateZerosSlotFromDynamicShapedTensor(self):
      # slot_creator is used only in optimizer V1.
      with ops.Graph().as_default(), self.cached_session():
          v = random_ops.random_uniform([2], dtype=dtypes.float64)
          v = array_ops.placeholder_with_default(
              v, shape=[None], name="const"
          )
          with ops.control_dependencies(None):
              slot = slot_creator.create_zeros_slot(
                  v, name="slot", dtype=dtypes.float64
              )
  
          self.evaluate(variables.global_variables_initializer())
  
          self.assertEqual("const/slot", slot.op.name)
          self.assertEqual([2], array_ops.shape(slot).eval())
          self.assertEqual(dtypes.float64, slot.dtype.base_dtype)
          self.assertAllEqual([0.0, 0.0], self.evaluate(slot))
  
imports: import numpy
  from local_xla.xla import xla_data_pb2
  from tensorflow.python.compiler.xla.experimental import xla_sharding
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import partitioned_variables
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import slot_creator
label_desc: Use image node_id 6 for calling the SlotCreatorTest obj's underlying member method code with example usage: obj.testCreateZerosSlotFromDynamicShapedTensor() without return types