class_docstr: Selects which previous layers to use.
class_docstr_tok: ["Selects","which","previous","layers","to","use","."]
docstr: Constructs an InputSelector.
  
  Args:
    input_indices: List of ints that determines which previous layers to pass
      to the next Combiner. For example, [-1] means to pass the only the
      output of the previous block, [-1, -2] means to pass the outputs of the
      previous two blocks.
code: def __init__(self, input_indices):
      """Constructs an InputSelector.
  
      Args:
        input_indices: List of ints that determines which previous layers to pass
          to the next Combiner. For example, [-1] means to pass the only the
          output of the previous block, [-1, -2] means to pass the outputs of the
          previous two blocks.
      """
      self._input_indices = input_indices
  
imports: import abc
  import collections
  import enum
  import time
  from absl import logging
  from model_search import block_builder
  from model_search import utils
  from model_search.architecture import architecture_utils
  from model_search.proto import phoenix_spec_pb2
  import tensorflow.compat.v2
label_desc: Use image node_id 1 to create a new InputSelector object  with example: obj = InputSelector(input_indices)