code: def _get_mdn_coef(output):
      logmix, mean, logstd = tf.split(output, 3, -1)
      logmix = logmix - tf.reduce_logsumexp(logmix, -1, keepdims=True)
      return logmix, mean, logstd
  
file_path: magenta/magenta/models/svg_vae/svg_decoder_loss.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import modalities
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 4 for calling a global function with example usage: _get_mdn_coef(output) and returns: logmix,  mean,  logstd