code: def __init__(
      self,
      input_dims,
      output_dim,
      mm_dim=1600,
      chunks=20,
      rank=15,
      shared=False,
      dropout_input=0.0,
      dropout_pre_lin=0.0,
      dropout_output=0.0,
      pos_norm="before_cat",
  ):
      super().__init__()
      self.rank = rank
      self.dropout_input = dropout_input
      self.dropout_pre_lin = dropout_pre_lin
      self.dropout_output = dropout_output
      assert pos_norm in ["before_cat", "after_cat"]
      self.pos_norm = pos_norm
      # Modules
      self.linear0 = nn.Linear(input_dims[0], mm_dim)
      self.linear1 = (
          self.linear0 if shared else nn.Linear(input_dims[1], mm_dim)
      )
      self.merge_linears0 = nn.LayerList()
      self.merge_linears1 = nn.LayerList()
      self.chunks = self.chunk_sizes(mm_dim, chunks)
      for size in self.chunks:
          ml0 = nn.Linear(size, size * rank)
          self.merge_linears0.append(ml0)
          ml1 = ml0 if shared else nn.Linear(size, size * rank)
          self.merge_linears1.append(ml1)
      self.linear_out = nn.Linear(mm_dim, output_dim)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  import paddle
  from paddle import nn
  import paddle.nn.functional
  from paddle import ParamAttr
label_desc: Use image node_id 1 to create a new Block object from inherited base classes: nn with example: obj = Block(input_dims, output_dim, mm_dim, chunks, rank, shared, dropout_input, dropout_pre_lin, dropout_output, pos_norm)