code: def test_basics(self):
      self.run_layer_test(
          layers.GroupedQueryAttention,
          init_kwargs={
              "num_query_heads": 2,
              "num_key_value_heads": 2,
              "head_dim": 2,
          },
          input_shape={
              "query_shape": (2, 8, 16),
              "value_shape": (2, 4, 16),
          },
          expected_output_shape=(2, 8, 16),
          expected_num_trainable_weights=8,
          expected_num_non_trainable_weights=0,
          expected_num_seed_generators=0,
          expected_num_losses=0,
          supports_masking=True,
          run_training_check=False,
      )
  
      self.run_layer_test(
          layers.GroupedQueryAttention,
          init_kwargs={
              "num_query_heads": 2,
              "num_key_value_heads": 2,
              "head_dim": 2,
              "use_bias": False,
              "dropout": 0.5,
          },
          input_shape={
              "query_shape": (2, 8, 16),
              "value_shape": (2, 4, 16),
          },
          expected_output_shape=(2, 8, 16),
          expected_num_trainable_weights=4,
          expected_num_non_trainable_weights=0,
          expected_num_seed_generators=0,
          expected_num_losses=0,
          supports_masking=True,
          run_training_check=False,
      )
  
file_path: keras/keras/layers/attention/grouped_query_attention_test.py
imports: import numpy
  import pytest
  from absl.testing import parameterized
  from keras import backend
  from keras import initializers
  from keras import layers
  from keras import testing
label_desc: Use image node_id 1 for calling the GroupedQueryAttentionTest obj's underlying member method code with example usage: obj.test_basics() without return types