code: def test_repr(self, strategy_fn):
      with strategy_fn().scope():
          loss_scale = loss_scale_module.DynamicLossScale(
              initial_loss_scale=1, increment_period=2, multiplier=3
          )
          if context.executing_eagerly():
              self.assertEqual(
                  repr(loss_scale),
                  "DynamicLossScale(current_loss_scale=1.0, "
                  "num_good_steps=0, initial_loss_scale=1.0, "
                  "increment_period=2, multiplier=3.0)",
              )
          else:
              self.assertEqual(
                  repr(loss_scale),
                  "DynamicLossScale(initial_loss_scale=1.0, "
                  "increment_period=2, multiplier=3.0)",
              )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import mirrored_strategy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training.experimental import loss_scale
label_desc: Use image node_id 18 for calling the DynamicLossScaleTest obj's underlying member method code with example usage: obj.test_repr(strategy_fn) without return types