code: def test_static_loss_scaling(self):
      v = backend.Variable([[1.0, 2.0], [3.0, 4.0]])
      grads = (
          backend.convert_to_tensor([[1.0, 2.0], [3.0, 4.0]]) * 1024.0
      )
      optimizer = optimizers.SGD(
          learning_rate=1.0, loss_scale_factor=1024.0
      )
      optimizer.apply_gradients([(grads, v)])
      self.assertEqual(optimizer.scale_loss(1.0), 1024.0)
      self.assertAllClose(v, [[0.0, 0.0], [0.0, 0.0]])
  
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 6 for calling the OptimizerTest obj's underlying member method code with example usage: obj.test_static_loss_scaling() without return types