code: def logsum_rows(x):
      R, C = x.shape
      m = x.max(axis=1)
      return np.log(np.exp(x - m[:, None]).sum(axis=1)) + m
  
imports: from __future__ import print_function
  from __future__ import absolute_import
  from __future__ import division
  from builtins import str
  from builtins import map
  from builtins import zip
  from builtins import range
  from past.utils import old_div
  import logging
  import time
  import numpy
  from scipy.special import erf
  from .None import pyll
  from .pyll import scope
  from .pyll.stochastic import implicit_stochastic
  from .base import miscs_to_idxs_vals
  from .base import miscs_update_idxs_vals
  from .None import rand
label_desc: Use image node_id 10 for calling a global function with example usage: logsum_rows(x) and returns: unknown