class_docstr: Implementation of https://arxiv.org/pdf/1612.02295.pdf
class_docstr_tok: ["Implementation","of","https",":","\/\/arxiv.org\/pdf\/1612.02295.pdf"]
code: def get_logits(self, embeddings):
      logits = self.get_cosine(embeddings)
      return self.scale_logits(logits, embeddings)
  
imports: import math
  import numpy
  import scipy.special
  import torch
  from ..distances import CosineSimilarity
  from ..utils import common_functions
  from ..utils import loss_and_miner_utils
  from .base_metric_loss_function import BaseMetricLossFunction
  from .mixins import WeightRegularizerMixin
label_desc: Use image node_id 12 for calling the LargeMarginSoftmaxLoss obj's underlying member method code with example usage: obj.get_logits(embeddings) and returns: self