code: def decode_hparams(overrides=""):
      """Hyperparameters for decoding."""
      hp = hparam.HParams(
          save_images=False,
          log_results=True,
          extra_length=100,
          min_length_ratio=0.0,
          batch_size=0,
          beam_size=4,
          alpha=0.6,
          eos_penalty=0.0,
          block_size=0,
          guess_and_check_top_k=0,
          guess_and_check_epsilon=-1,
          insertion_parallel=False,
          return_beams=False,
          write_beam_scores=False,
          max_input_size=-1,
          identity_output=False,
          num_samples=-1,  # Number of examples to decode.
          delimiter="\n",
          decode_to_file="",  # str. Prefix for filename to write decodings to.
          decode_reference="",  # str. Filename to read references from.
          decode_in_memory=False,
          # How much decode should wait for the next checkpoint
          decode_timeout_mins=240,
          summaries_log_dir="decode",  # Directory to write hook summaries.
          shards=1,  # How many shards of data to decode (treating 1 as None).
          shard_id=0,  # Which shard are we decoding if more than 1 above.
          shards_start_offset=0,  # Number of the first shard to decode.
          shard_google_format=False,  # If True use Google shard naming format.
          num_decodes=1,  # Number of times to go over the dataset.
          force_decode_length=False,
          display_decoded_images=False,
          # Multi-problem decoding task id.
          multiproblem_task_id=-1,
          # Used for video decoding.
          frames_per_second=10,
          skip_eos_postprocess=False,
          # Creates a blue/red border covering border_percent of the frame.
          border_percent=2,
          # Maximum number of videos displayed.
          # number of videos displayed = max_display_outputs * max_display_decodes
          max_display_outputs=10,
          max_display_decodes=5,
          # Used in computation of VGG feature based video metrics.
          # Set this to be the path to a trained VGG ckpt to output
          # useful metrics.
          vgg_ckpt_path="",
          # Used for MLPerf compliance logging.
          mlperf_decode_step=0.0,
          mlperf_threshold=25.0,
          mlperf_success=False,
          # A comma-delimited list of additional infer() outputs to be exported.
          export_extra_infer_outputs="",
      )
      hp.parse(overrides)
      return hp
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import operator
  import os
  import re
  import string
  import time
  import numpy
  import six
  from six.moves import input
  from tensor2tensor.data_generators import problem
  from tensor2tensor.data_generators import text_encoder
  from tensor2tensor.data_generators import text_problems
  from tensor2tensor.utils import contrib
  from tensor2tensor.utils import hparam
  from tensor2tensor.utils import mlperf_log
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 1 for calling a global function with example usage: decode_hparams(overrides) and returns: hp