diff --git a/docs/mindspore/source_en/note/api_mapping/pytorch_api_mapping.md b/docs/mindspore/source_en/note/api_mapping/pytorch_api_mapping.md
index 9b2e36310364f22e4303ddb93bf788c0760d5e42..81a23c966e56808e8bffdac4da6973cc0289d9de 100644
--- a/docs/mindspore/source_en/note/api_mapping/pytorch_api_mapping.md
+++ b/docs/mindspore/source_en/note/api_mapping/pytorch_api_mapping.md
@@ -292,9 +292,9 @@ Because of the framework mechanism, MindSpore does not provide the following par
 | [torch.nn.AvgPool2d](https://PyTorch.org/docs/2.1/generated/torch.nn.AvgPool2d.html) | [mindspore.mint.nn.AvgPool2d](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.AvgPool2d.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions) |
 | [torch.nn.BCELoss](https://PyTorch.org/docs/2.1/generated/torch.nn.BCELoss.html) | [mindspore.mint.nn.BCELoss](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.BCELoss.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions) |
 | [torch.nn.BCEWithLogitsLoss](https://pytorch.org/docs/2.1/generated/torch.nn.BCEWithLogitsLoss.html) | [mindspore.mint.nn.BCEWithLogitsLoss](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.BCEWithLogitsLoss.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions) |
-| [torch.nn.BatchNorm1d](https://PyTorch.org/docs/2.1/generated/torch.nn.BatchNorm1d.html) | [mindspore.mint.nn.BatchNorm1d](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.BatchNorm1d.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions)|
-| [torch.nn.BatchNorm2d](https://PyTorch.org/docs/2.1/generated/torch.nn.BatchNorm2d.html) | [mindspore.mint.nn.BatchNorm2d](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.BatchNorm2d.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions)|
-| [torch.nn.BatchNorm3d](https://PyTorch.org/docs/2.1/generated/torch.nn.BatchNorm3d.html) | [mindspore.mint.nn.BatchNorm3d](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.BatchNorm3d.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions)|
+| [torch.nn.BatchNorm1d](https://PyTorch.org/docs/2.1/generated/torch.nn.BatchNorm1d.html) | [mindspore.mint.nn.BatchNorm1d](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.BatchNorm1d.html) | Consistent functions, MindSpore is in inference mode by default. |
+| [torch.nn.BatchNorm2d](https://PyTorch.org/docs/2.1/generated/torch.nn.BatchNorm2d.html) | [mindspore.mint.nn.BatchNorm2d](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.BatchNorm2d.html) | Consistent functions, MindSpore is in inference mode by default. |
+| [torch.nn.BatchNorm3d](https://PyTorch.org/docs/2.1/generated/torch.nn.BatchNorm3d.html) | [mindspore.mint.nn.BatchNorm3d](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.BatchNorm3d.html) | Consistent functions, MindSpore is in inference mode by default. |
 | [torch.nn.ConstantPad1d](https://pytorch.org/docs/2.1/generated/torch.nn.ConstantPad1d.html)  | [mindspore.mint.nn.ConstantPad1d](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.ConstantPad1d.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions) |
 | [torch.nn.ConstantPad2d](https://pytorch.org/docs/2.1/generated/torch.nn.ConstantPad2d.html)  | [mindspore.mint.nn.ConstantPad2d](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.ConstantPad2d.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions) |
 | [torch.nn.ConstantPad3d](https://pytorch.org/docs/2.1/generated/torch.nn.ConstantPad3d.html)  | [mindspore.mint.nn.ConstantPad3d](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.ConstantPad3d.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions) |
@@ -303,7 +303,7 @@ Because of the framework mechanism, MindSpore does not provide the following par
 | [torch.nn.ConvTranspose2d](https://pytorch.org/docs/2.1/generated/torch.nn.ConvTranspose2d.html) | [mindspore.mint.nn.ConvTranspose2d](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.ConvTranspose2d.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions) |
 | [torch.nn.CrossEntropyLoss](https://pytorch.org/docs/2.1/generated/torch.nn.CrossEntropyLoss.html) | [mindspore.mint.nn.CrossEntropyLoss](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.CrossEntropyLoss.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions) |
 | [torch.nn.Dropout](https://pytorch.org/docs/2.1/generated/torch.nn.Dropout.html) | [mindspore.mint.nn.Dropout](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.Dropout.html) | Consistent functions, MindSpore is in inference mode by default. |
-| [torch.nn.Dropout2d](https://pytorch.org/docs/2.1/generated/torch.nn.Dropout2d.html) | [mindspore.mint.nn.Dropout2d](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.Dropout2d.html) | Consistent functions, MindSpore has no parameter inplace, MindSpore is in inference mode by default. |
+| [torch.nn.Dropout2d](https://pytorch.org/docs/2.1/generated/torch.nn.Dropout2d.html) | [mindspore.mint.nn.Dropout2d](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.Dropout2d.html) | Consistent functions, MindSpore is in inference mode by default. |
 | [torch.nn.ELU](https://pytorch.org/docs/2.1/generated/torch.nn.ELU.html) | [mindspore.mint.nn.ELU](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.ELU.html) |Consistent functions, MindSpore has no parameter inplace. |
 | [torch.nn.Embedding](https://pytorch.org/docs/2.1/generated/torch.nn.Embedding.html) | [mindspore.mint.nn.Embedding](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.Embedding.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions) |
 | [torch.nn.Flatten](https://pytorch.org/docs/2.1/generated/torch.nn.Flatten.html) | [mindspore.mint.flatten](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.flatten.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions) |
@@ -337,7 +337,7 @@ Because of the framework mechanism, MindSpore does not provide the following par
 | [torch.nn.SmoothL1Loss](https://pytorch.org/docs/2.1/generated/torch.nn.SmoothL1Loss.html) | [mindspore.mint.nn.SmoothL1Loss](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.SmoothL1Loss.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions) |
 | [torch.nn.Softmax](https://pytorch.org/docs/2.1/generated/torch.nn.Softmax.html) | [mindspore.mint.nn.Softmax](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.Softmax.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions)|
 | [torch.nn.Softshrink](https://pytorch.org/docs/2.1/generated/torch.nn.Softshrink.html) | [mindspore.mint.nn.Softshrink](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.Softshrink.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions)|
-| [torch.nn.SyncBatchNorm](https://pytorch.org/docs/2.1/generated/torch.nn.SyncBatchNorm.html) | [mindspore.mint.nn.SyncBatchNorm](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.SyncBatchNorm.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions) |
+| [torch.nn.SyncBatchNorm](https://pytorch.org/docs/2.1/generated/torch.nn.SyncBatchNorm.html) | [mindspore.mint.nn.SyncBatchNorm](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.SyncBatchNorm.html) | Consistent functions, MindSpore is in inference mode by default. |
 | [torch.nn.Tanh](https://pytorch.org/docs/2.1/generated/torch.nn.Tanh.html) | [mindspore.mint.nn.Tanh](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.Tanh.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions) |
 | [torch.nn.Unfold](https://pytorch.org/docs/2.1/generated/torch.nn.Unfold.html) | [mindspore.mint.nn.Unfold](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.Unfold.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions)|
 | [torch.nn.Upsample](https://pytorch.org/docs/2.1/generated/torch.nn.Upsample.html) | [mindspore.mint.nn.Upsample](https://www.mindspore.cn/docs/en/master/api_python/mint/mindspore.mint.nn.Upsample.html) | [Consistent](https://www.mindspore.cn/docs/en/master/note/api_mapping/pytorch_api_mapping.html#api-mapping-consistency-criteria-and-exceptions) |
diff --git a/docs/mindspore/source_zh_cn/note/api_mapping/pytorch_api_mapping.md b/docs/mindspore/source_zh_cn/note/api_mapping/pytorch_api_mapping.md
index 2af08cd1efa96e52e1183d3f9befd3676802c175..c800555280eb147bb2a7ec00da75dfaff4b31d96 100644
--- a/docs/mindspore/source_zh_cn/note/api_mapping/pytorch_api_mapping.md
+++ b/docs/mindspore/source_zh_cn/note/api_mapping/pytorch_api_mapping.md
@@ -292,9 +292,9 @@ mindspore.mint.argmax只有一种API形式，即mindspore.mint.argmax(input, dim
 | [torch.nn.AvgPool2d](https://PyTorch.org/docs/2.1/generated/torch.nn.AvgPool2d.html) | [mindspore.mint.nn.AvgPool2d](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.AvgPool2d.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景) |
 | [torch.nn.BCELoss](https://PyTorch.org/docs/2.1/generated/torch.nn.BCELoss.html) | [mindspore.mint.nn.BCELoss](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.BCELoss.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景) |
 | [torch.nn.BCEWithLogitsLoss](https://pytorch.org/docs/2.1/generated/torch.nn.BCEWithLogitsLoss.html) | [mindspore.mint.nn.BCEWithLogitsLoss](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.BCEWithLogitsLoss.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景) |
-| [torch.nn.BatchNorm1d](https://PyTorch.org/docs/2.1/generated/torch.nn.BatchNorm1d.html) | [mindspore.mint.nn.BatchNorm1d](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.BatchNorm1d.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景)|
-| [torch.nn.BatchNorm2d](https://PyTorch.org/docs/2.1/generated/torch.nn.BatchNorm2d.html) | [mindspore.mint.nn.BatchNorm2d](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.BatchNorm2d.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景)|
-| [torch.nn.BatchNorm3d](https://PyTorch.org/docs/2.1/generated/torch.nn.BatchNorm3d.html) | [mindspore.mint.nn.BatchNorm3d](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.BatchNorm3d.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景)|
+| [torch.nn.BatchNorm1d](https://PyTorch.org/docs/2.1/generated/torch.nn.BatchNorm1d.html) | [mindspore.mint.nn.BatchNorm1d](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.BatchNorm1d.html) | 功能一致，MindSpore默认为推理模式 |
+| [torch.nn.BatchNorm2d](https://PyTorch.org/docs/2.1/generated/torch.nn.BatchNorm2d.html) | [mindspore.mint.nn.BatchNorm2d](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.BatchNorm2d.html) | 功能一致，MindSpore默认为推理模式 |
+| [torch.nn.BatchNorm3d](https://PyTorch.org/docs/2.1/generated/torch.nn.BatchNorm3d.html) | [mindspore.mint.nn.BatchNorm3d](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.BatchNorm3d.html) | 功能一致，MindSpore默认为推理模式 |
 | [torch.nn.ConstantPad1d](https://pytorch.org/docs/2.1/generated/torch.nn.ConstantPad1d.html)  | [mindspore.mint.nn.ConstantPad1d](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.ConstantPad1d.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景) |
 | [torch.nn.ConstantPad2d](https://pytorch.org/docs/2.1/generated/torch.nn.ConstantPad2d.html)  | [mindspore.mint.nn.ConstantPad2d](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.ConstantPad2d.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景) |
 | [torch.nn.ConstantPad3d](https://pytorch.org/docs/2.1/generated/torch.nn.ConstantPad3d.html)  | [mindspore.mint.nn.ConstantPad3d](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.ConstantPad3d.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景) |
@@ -303,7 +303,7 @@ mindspore.mint.argmax只有一种API形式，即mindspore.mint.argmax(input, dim
 | [torch.nn.ConvTranspose2d](https://pytorch.org/docs/2.1/generated/torch.nn.ConvTranspose2d.html) | [mindspore.mint.nn.ConvTranspose2d](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.ConvTranspose2d.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景) |
 | [torch.nn.CrossEntropyLoss](https://pytorch.org/docs/2.1/generated/torch.nn.CrossEntropyLoss.html) | [mindspore.mint.nn.CrossEntropyLoss](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.CrossEntropyLoss.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景) |
 | [torch.nn.Dropout](https://pytorch.org/docs/2.1/generated/torch.nn.Dropout.html) | [mindspore.mint.nn.Dropout](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.Dropout.html) | 功能一致，MindSpore默认为推理模式 |
-| [torch.nn.Dropout2d](https://pytorch.org/docs/2.1/generated/torch.nn.Dropout2d.html) | [mindspore.mint.nn.Dropout2d](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.Dropout2d.html) | 功能一致，MindSpore不含参数inplace，MindSpore默认为推理模式 |
+| [torch.nn.Dropout2d](https://pytorch.org/docs/2.1/generated/torch.nn.Dropout2d.html) | [mindspore.mint.nn.Dropout2d](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.Dropout2d.html) | 功能一致，MindSpore默认为推理模式 |
 | [torch.nn.ELU](https://pytorch.org/docs/2.1/generated/torch.nn.ELU.html) | [mindspore.mint.nn.ELU](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.ELU.html) | 功能一致，MindSpore不含参数inplace|
 | [torch.nn.Embedding](https://pytorch.org/docs/2.1/generated/torch.nn.Embedding.html) | [mindspore.mint.nn.Embedding](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.Embedding.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景) |
 | [torch.nn.Flatten](https://pytorch.org/docs/2.1/generated/torch.nn.Flatten.html) | [mindspore.mint.flatten](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.flatten.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景) |
@@ -337,7 +337,7 @@ mindspore.mint.argmax只有一种API形式，即mindspore.mint.argmax(input, dim
 | [torch.nn.SmoothL1Loss](https://pytorch.org/docs/2.1/generated/torch.nn.SmoothL1Loss.html) | [mindspore.mint.nn.SmoothL1Loss](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.SmoothL1Loss.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景) |
 | [torch.nn.Softmax](https://pytorch.org/docs/2.1/generated/torch.nn.Softmax.html) | [mindspore.mint.nn.Softmax](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.Softmax.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景)|
 | [torch.nn.Softshrink](https://pytorch.org/docs/2.1/generated/torch.nn.Softshrink.html) | [mindspore.mint.nn.Softshrink](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.Softshrink.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景)|
-| [torch.nn.SyncBatchNorm](https://pytorch.org/docs/2.1/generated/torch.nn.SyncBatchNorm.html) | [mindspore.mint.nn.SyncBatchNorm](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.SyncBatchNorm.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景) |
+| [torch.nn.SyncBatchNorm](https://pytorch.org/docs/2.1/generated/torch.nn.SyncBatchNorm.html) | [mindspore.mint.nn.SyncBatchNorm](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.SyncBatchNorm.html) | 功能一致，MindSpore默认为推理模式 |
 | [torch.nn.Tanh](https://pytorch.org/docs/2.1/generated/torch.nn.Tanh.html) | [mindspore.mint.nn.Tanh](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.Tanh.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景) |
 | [torch.nn.Unfold](https://pytorch.org/docs/2.1/generated/torch.nn.Unfold.html) | [mindspore.mint.nn.Unfold](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.Unfold.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景)|
 | [torch.nn.Upsample](https://pytorch.org/docs/2.1/generated/torch.nn.Upsample.html) | [mindspore.mint.nn.Upsample](https://www.mindspore.cn/docs/zh-CN/master/api_python/mint/mindspore.mint.nn.Upsample.html) | [一致](https://www.mindspore.cn/docs/zh-CN/master/note/api_mapping/pytorch_api_mapping.html#api映射一致标准及例外场景) |