code: def test_initialize_one_view_from_vit_parameters_cross_attention(
      self,
  ):
      self.mtv_params["MultiviewEncoder"].pop("encoderblock_1_view0")
      self.mtv_params["MultiviewEncoder"].pop("encoderblock_1_view1")
      self.mtv_params["MultiviewEncoder"][
          "cross_view_encoderblock_1"
      ] = {
          "msa_ln_view0": jnp.zeros((10)),
          "msa_ln_view1": jnp.zeros((10)),
          "msa_view0": jnp.zeros((10)),
          "msa_view1": jnp.zeros((10)),
          "cross_attention_ln_view0": jnp.zeros((10)),
          "cross_attention_ln_view1": jnp.zeros((10)),
          "cross_attention_view0_1": jnp.zeros((10)),
          "mlp_ln_view0": jnp.zeros((10)),
          "mlp_ln_view1": jnp.zeros((10)),
          "mlp_view0": jnp.zeros((10)),
          "mlp_view1": jnp.zeros((10)),
      }
      self.restored_vit_params["Transformer"]["encoderblock_1"] = {
          "LayerNorm_0": jnp.ones((10)),
          "LayerNorm_1": jnp.ones((10)),
          "MultiHeadDotProductAttention_0": jnp.ones((10)),
          "MlpBlock_0": jnp.ones((10)),
      }
      self.expected_updated_mtv_params_from_vit["MultiviewEncoder"].pop(
          "encoderblock_1_view0"
      )
      self.expected_updated_mtv_params_from_vit["MultiviewEncoder"].pop(
          "encoderblock_1_view1"
      )
      self.expected_updated_mtv_params_from_vit["MultiviewEncoder"][
          "cross_view_encoderblock_1"
      ] = {
          "msa_ln_view0": jnp.ones((10)),
          "msa_ln_view1": jnp.zeros((10)),
          "msa_view0": jnp.ones((10)),
          "msa_view1": jnp.zeros((10)),
          "cross_attention_ln_view0": jnp.zeros((10)),
          "cross_attention_ln_view1": jnp.zeros((10)),
          "cross_attention_view0_1": jnp.zeros((10)),
          "mlp_ln_view0": jnp.ones((10)),
          "mlp_ln_view1": jnp.zeros((10)),
          "mlp_view0": jnp.ones((10)),
          "mlp_view1": jnp.zeros((10)),
      }
      model_utils.initialize_one_view_from_vit_parameters(
          self.mtv_cfg,
          self.mtv_params,
          self.restored_vit_cfg,
          self.restored_vit_params,
          view_idx=0,
      )
      self.assertDictEqualRecursive(
          self.mtv_params, self.expected_updated_mtv_params_from_vit
      )
  
imports: from absl.testing import parameterized
  import jax.numpy
  import ml_collections
  import numpy
  from scenic.projects.mtv import model_utils
  import tensorflow
label_desc: Use image node_id 11 for calling the ModelUtilsTest obj's underlying member method code with example usage: obj.test_initialize_one_view_from_vit_parameters_cross_attention() without return types