code: def test_lora_rank_argument(self):
      self.run_layer_test(
          layers.Dense,
          init_kwargs={
              "units": 5,
              "activation": "sigmoid",
              "kernel_regularizer": "l2",
              "lora_rank": 2,
          },
          input_shape=(2, 3, 4),
          expected_output_shape=(2, 3, 5),
          expected_num_trainable_weights=3,
          expected_num_non_trainable_weights=1,
          expected_num_seed_generators=0,
          expected_num_losses=2,  # we have 2 regularizers.
          supports_masking=True,
      )
  
imports: import os
  import numpy
  import pytest
  from keras import backend
  from keras import constraints
  from keras import layers
  from keras import models
  from keras import saving
  from keras import testing
  from keras.backend.common import keras_tensor
label_desc: Use image node_id 10 for calling the DenseTest obj's underlying member method code with example usage: obj.test_lora_rank_argument() without return types