code: def decompress_decoder_1d(x, hparams, name=None):
      """Decoder that decompresses 1-D inputs by 2**num_compress_steps.
  
      Args:
        x: Tensor of shape [batch, compress_length, channels].
        hparams: HParams.
        name: string, variable scope.
  
      Returns:
        Tensor of shape [batch, length, hparams.hidden_size].
      """
      x = tf.expand_dims(x, axis=2)
      output = decompress_decoder(
          x,
          hparams,
          strides=(2, 1),
          kernel=(hparams.kernel_size, 1),
          name=name,
      )
      return tf.squeeze(output, axis=2)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from six.moves import range
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_image_attention
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import transformer_layers
  from tensor2tensor.utils import beam_search
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
  import tensorflow_probability
label_desc: Use image node_id 12 for calling a global function with example usage: decompress_decoder_1d(x, hparams, name) and returns: tf