code: def _make_dense_block(data, num_layers, bn_size, growth_rate, index):
      """Makes a block of dense layers of the specified size."""
      layer_out = data
      blocks = []
      for i in range(num_layers):
          layer_out = _make_dense_layer(
              layer_out, growth_rate, bn_size, f"{index}_{i}"
          )
          blocks.append(layer_out)
      block_out = relay.concatenate(blocks, 1)
      return block_out
  
file_path: tvm/python/tvm/relay/testing/densenet.py
imports: from tvm import relay
  from .None import layers
  from .init import create_workload
label_desc: Use image node_id 2 for calling a global function with example usage: _make_dense_block(data, num_layers, bn_size, growth_rate, index) and returns: block_out