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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def imagetransformer2d_base_8l_8_32_big():
 """hparams fo 8 layer big 2d model for cifar 10."""

  hparams = image_transformer2d_base()
  hparams.num_heads = 16
  hparams.hidden_size = 1024
  hparams.filter_size = 2048
  hparams.num_decoder_layers = 8
  hparams.batch_size = 1
  hparams.layer_prepostprocess_dropout = 0.3
  hparams.query_shape = (8, 16)
  hparams.memory_flange = (0, 32)
  hparams.unconditional = int(False)
  return hparams