def __init__(self, logit_scale=1.0):
    """Constructor.

    Args:
      logit_scale: When this value is high, the prediction is "diffused" and
                   when this value is low, the prediction is made peakier.
                   (default 1.0)

    """
    super(WeightedSoftmaxClassificationLoss, self).__init__()
    self._logit_scale = logit_scale
Constructor.

    Args:
      logit_scale: When this value is high, the prediction is "diffused" and
                   when this value is low, the prediction is made peakier.
                   (default 1.0)

    
inference_api/src/main/object_detection/core/losses.py