class_docstr: NASNetA Normal Cell.
class_docstr_tok: ["NASNetA","Normal","Cell","."]
code: def __init__(
      self,
      num_conv_filters,
      drop_path_keep_prob,
      total_num_cells,
      total_training_steps,
      use_bounded_activation=False,
  ):
      operations = [
          "separable_5x5_2",
          "separable_3x3_2",
          "separable_5x5_2",
          "separable_3x3_2",
          "avg_pool_3x3",
          "none",
          "avg_pool_3x3",
          "avg_pool_3x3",
          "separable_3x3_2",
          "none",
      ]
      used_hiddenstates = [1, 0, 0, 0, 0, 0, 0]
      hiddenstate_indices = [0, 1, 1, 1, 0, 1, 1, 1, 0, 0]
      super(NasNetANormalCell, self).__init__(
          num_conv_filters,
          operations,
          used_hiddenstates,
          hiddenstate_indices,
          drop_path_keep_prob,
          total_num_cells,
          total_training_steps,
          use_bounded_activation,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow.compat.v1
label_desc: Use image node_id 1 to create a new NasNetANormalCell object from inherited base classes: NasNetABaseCell with example: obj = NasNetANormalCell(num_conv_filters, drop_path_keep_prob, total_num_cells, total_training_steps, use_bounded_activation)