代码拉取完成，页面将自动刷新
在阅读本章节之前，请先阅读MindSpore官网教程损失函数。
MindSpore官网教程损失函数中讲解了内置、自定义和多标签损失函数，以及在模型训练中的使用指导，这里就MindSpore的损失函数与PyTorch的损失函数在功能和接口差异方面给出差异列表。
| torch.nn | torch.nn.functional | mindspore.nn | mindspore.ops | 差异说明 |
|---|---|---|---|---|
| torch.nn.L1Loss | torch.nn.functional.l1_loss | mindspore.nn.L1Loss | mindspore.ops.l1_loss | 一致 |
| torch.nn.MSELoss | torch.nn.functional.mse_loss | mindspore.nn.MSELoss | mindspore.ops.mse_loss | 一致 |
| torch.nn.CrossEntropyLoss | torch.nn.functional.cross_entropy | mindspore.nn.CrossEntropyLoss | mindspore.ops.cross_entropy | nn接口差异 |
| torch.nn.CTCLoss | torch.nn.functional.ctc_loss | mindspore.nn.CTCLoss | mindspore.ops.ctc_loss | 一致 |
| torch.nn.NLLLoss | torch.nn.functional.nll_loss | mindspore.nn.NLLLoss | mindspore.ops.nll_loss | 一致 |
| torch.nn.PoissonNLLLoss | torch.nn.functional.poisson_nll_loss | mindspore.nn.PoissonNLLLoss | - | 一致 |
| torch.nn.GaussianNLLLoss | torch.nn.functional.gaussian_nll_loss | mindspore.nn.GaussianNLLLoss | mindspore.ops.gaussian_nll_loss | 一致 |
| torch.nn.KLDivLoss | torch.nn.functional.kl_div | mindspore.nn.KLDivLoss | mindspore.ops.kl_div | MindSpore不支持 log_target 参数 |
| torch.nn.BCELoss | torch.nn.functional.binary_cross_entropy | mindspore.nn.BCELoss | mindspore.ops.binary_cross_entropy | 一致 |
| torch.nn.BCEWithLogitsLoss | torch.nn.functional.binary_cross_entropy_with_logits | mindspore.nn.BCEWithLogitsLoss | mindspore.ops.binary_cross_entropy_with_logits | 一致 |
| torch.nn.MarginRankingLoss | torch.nn.functional.margin_ranking_loss | mindspore.nn.MarginRankingLoss | mindspore.ops.margin_ranking_loss | 一致 |
| torch.nn.HingeEmbeddingLoss | torch.nn.functional.hinge_embedding_loss | mindspore.nn.HingeEmbeddingLoss | mindspore.ops.hinge_embedding_loss | 一致 |
| torch.nn.MultiLabelMarginLoss | torch.nn.functional.multilabel_margin_loss | mindspore.nn.MultiLabelMarginLoss | mindspore.ops.multilabel_margin_loss | 一致 |
| torch.nn.HuberLoss | torch.nn.functional.huber_loss | mindspore.nn.HuberLoss | mindspore.ops.huber_loss | 一致 |
| torch.nn.SmoothL1Loss | torch.nn.functional.smooth_l1_loss | mindspore.nn.SmoothL1Loss | mindspore.ops.smooth_l1_loss | 一致 |
| torch.nn.SoftMarginLoss | torch.nn.functional.soft_margin_loss | mindspore.nn.SoftMarginLoss | mindspore.ops.soft_margin_loss | 一致 |
| torch.nn.MultiLabelSoftMarginLoss | torch.nn.functional.multilabel_soft_margin_loss | mindspore.nn.MultiLabelSoftMarginLoss | mindspore.ops.multilabel_soft_margin_loss | 一致 |
| torch.nn.CosineEmbeddingLoss | torch.nn.functional.cosine_embedding_loss | mindspore.nn.CosineEmbeddingLoss | mindspore.ops.cosine_embedding_loss | 一致 |
| torch.nn.MultiMarginLoss | torch.nn.functional.multi_margin_loss | mindspore.nn.MultiMarginLoss | mindspore.ops.multi_margin_loss | 一致 |
| torch.nn.TripletMarginLoss | torch.nn.functional.triplet_margin_loss | mindspore.nn.TripletMarginLoss | mindspore.ops.triplet_margin_loss | 功能一致，参数个数或顺序不一致 |
| torch.nn.TripletMarginWithDistanceLoss | torch.nn.functional.triplet_margin_with_distance_loss | mindspore.nn.TripletMarginWithDistanceLoss | - | 一致 |
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