code: def test_dtype_arg(self):
      y_true = np.array([1.0, 0.0, 1.0, 0.0], dtype="float32")
      y_pred = np.array([0.1, 0.2, 0.3, 0.4], dtype="float32")
  
      # Note: we use float16 and not float64 to test this because
      # JAX will map float64 to float32.
      loss_fn = ExampleLoss(dtype="float16")
      loss = loss_fn(y_true, y_pred)
      self.assertEqual(backend.standardize_dtype(loss.dtype), "float16")
  
imports: import numpy
  import pytest
  from keras import backend
  from keras import losses
  from keras import ops
  from keras import testing
  from keras.losses.loss import Loss
label_desc: Use image node_id 9 for calling the LossTest obj's underlying member method code with example usage: obj.test_dtype_arg() without return types