code: def xception_base():
      """Set of hyperparameters."""
      hparams = common_hparams.basic_params1()
      hparams.batch_size = 128
      hparams.hidden_size = 768
      hparams.dropout = 0.2
      hparams.symbol_dropout = 0.2
      hparams.label_smoothing = 0.1
      hparams.clip_grad_norm = 2.0
      hparams.num_hidden_layers = 8
      hparams.kernel_height = 3
      hparams.kernel_width = 3
      hparams.learning_rate_decay_scheme = "exp"
      hparams.learning_rate = 0.05
      hparams.learning_rate_warmup_steps = 3000
      hparams.initializer_gain = 1.0
      hparams.weight_decay = 3.0
      hparams.num_sampled_classes = 0
      hparams.sampling_method = "argmax"
      hparams.optimizer_adam_epsilon = 1e-6
      hparams.optimizer_adam_beta1 = 0.85
      hparams.optimizer_adam_beta2 = 0.997
      return hparams
  
file_path: tensor2tensor/tensor2tensor/models/xception.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import math
  from six.moves import range
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
label_desc: Use image node_id 5 for calling a global function with example usage: xception_base() and returns: hparams