code: def binary_channel_to_unary(logits, eps=1e-9):
      """
      Converts binary channel logits to unary channel logits for lovasz hinge loss.
      """
      probas = F.softmax(logits, axis=1)
      probas = probas[:, 1, :, :]
      logits = paddle.log(probas + eps / (1 - probas + eps))
      logits = logits.unsqueeze(1)
      return logits
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import paddle
  from paddle import nn
  import paddle.nn.functional
  from paddleseg.cvlibs import manager
label_desc: Use image node_id 2 for calling a global function with example usage: binary_channel_to_unary(logits, eps) and returns: logits