code: def init_dense(self, layer):
      index_t = IntegerPrecisionType(width=1, signed=False)
  
      layer.set_attr("rfpad", 0)
      layer.set_attr("bfpad", 0)
  
      if layer.model.config.get_compression(layer):
          layer.set_attr("strategy", "compressed")
      else:
          n_in, n_out = self.get_layer_mult_size(layer)
          self.set_closest_reuse_factor(layer, n_in, n_out)
          layer.set_attr("strategy", "resource")
  
      if layer.model.config.is_resource_strategy(layer):
          if layer.model.config.get_compression(layer):
              index_t = layer.get_weights("weight").type.index_precision
  
      layer.set_attr(
          "index_t", NamedType(f"layer{layer.index}_index", index_t)
      )
  
imports: import os
  from contextlib import contextmanager
  import numpy
  from hls4ml.backends import FPGABackend
  from hls4ml.model.attributes import ConfigurableAttribute, TypeAttribute
  from hls4ml.model.flow import register_flow
  from hls4ml.model.layers import GRU, LSTM, Activation, Conv1D, Conv2D, Dense, Embedding, Layer, SimpleRNN, Softmax
  from hls4ml.model.optimizer import get_backend_passes, layer_optimizer
  from hls4ml.model.types import FixedPrecisionType, IntegerPrecisionType, NamedType
  from hls4ml.report import parse_quartus_report
label_desc: Use image node_id 9 for calling the QuartusBackend obj's underlying member method code with example usage: obj.init_dense(layer) without return types