code: def test_sum_close(self, rate):
      mod = dropout.Dropout(rate=rate)
      x = tf.ones([1000])
      rtol = 0.3 if "TPU" in self.device_types else 0.1
      self.assertAllClose(
          tf.reduce_sum(mod(x, is_training=True)),
          tf.reduce_sum(mod(x, is_training=False)),
          rtol=rtol,
      )
  
file_path: sonnet/sonnet/src/dropout_test.py
imports: from absl.testing import parameterized
  import numpy
  from sonnet.src import dropout
  from sonnet.src import test_utils
  import tensorflow
label_desc: Use image node_id 1 for calling the DropoutTest obj's underlying member method code with example usage: obj.test_sum_close(rate) without return types