class_docstr: Image-to-image transformer predicting blocks of the output in parallel.
class_docstr_tok: ["Image-to-image","transformer","predicting","blocks","of","the","output","in","parallel","."]
code: def _beam_decode(
      self, features, decode_length, beam_size, top_beams, alpha
  ):
      raise NotImplementedError
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import numpy
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_image_attention
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 5 for calling the Img2imgTransformerBlockParallel obj's underlying member method code with example usage: obj._beam_decode(features, decode_length, beam_size, top_beams, alpha) without return types