code: def test_iterations_counter(self):
      v = backend.Variable([[1.0, 2.0], [3.0, 4.0]])
      grads = backend.convert_to_tensor([[1.0, 1.0], [1.0, 1.0]])
      optimizer = optimizers.Adam(learning_rate=1.0)
      self.assertAllClose(optimizer.iterations, 0)
      optimizer.apply_gradients([(grads, v)])
      self.assertAllClose(optimizer.iterations, 1)
      optimizer.apply_gradients([(grads, v)])
      self.assertAllClose(optimizer.iterations, 2)
  
file_path: keras/keras/optimizers/optimizer_test.py
imports: import numpy
  import pytest
  from keras import backend
  from keras import constraints
  from keras import layers
  from keras import models
  from keras import optimizers
  from keras import testing
label_desc: Use image node_id 1 for calling the OptimizerTest obj's underlying member method code with example usage: obj.test_iterations_counter() without return types