code: def test_various_calls(self):
      list_kwargs = []
      for share_qk in [True, False]:
          for output in ["none", "mult", "conv", "multconv"]:
              for concat in ["original", "fixed", "none"]:
                  kwargs = {
                      "share_qk": share_qk,
                      "output_layer_type": output,
                      "v_concat_type": concat,
                  }
                  list_kwargs.append(kwargs)
      for kwargs in list_kwargs:
          layer = sparsity.MultiplicativeConvCausalAttention(
              d_feature=4, n_heads=2, sparsity=2, **kwargs
          )
          x = np.array(
              [
                  [
                      [2, 5, 3, 4],
                      [0, 1, 2, 3],
                      [0, 1, 2, 3],
                  ]
              ]
          )
          _, _ = layer.init(shapes.signature(x))
  
          y = layer(x)
          self.assertEqual(y.shape, (1, 3, 4))
  
imports: import functools
  from absl.testing import parameterized
  import jax
  import numpy
  from tensorflow import test
  from trax import fastmath
  from trax import shapes
  import trax.layers
  from trax.layers import test_utils
  from trax.layers.research import sparsity
label_desc: Use image node_id 2 for calling the MultiplicativeConvCausalAttentionTest obj's underlying member method code with example usage: obj.test_various_calls() without return types