mindocr/mindocr/losses/kie_loss.py at 86efafa9853c63a7610bbba71f9ac333a685d549 · mindspore-lab/mindocr · GitHub

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import mindspore as ms
from mindspore import nn

__all__ = ["VQASerTokenLayoutLMLoss", "VQAReTokenLayoutLMLoss"]


class VQASerTokenLayoutLMLoss(nn.LossBase):
    """
    Loss for token classification task.
    """

    def __init__(self, **kwargs):
        super().__init__()
        self.loss_fct = nn.CrossEntropyLoss()

    def construct(self, predicts, labels):
        loss = self.loss_fct(predicts.transpose(0, 2, 1), labels.astype(ms.int32))
        return loss


class VQAReTokenLayoutLMLoss(nn.LossBase):

    """
    Loss for relation extraction task.
    """

    def __init__(self, **kwargs):
        super().__init__()
        self.loss_fct = nn.CrossEntropyLoss()

    def construct(self, predicts, labels):
        loss = self.loss_fct(predicts.transpose(0, 2, 1), labels.astype(ms.int32))
        return loss