From 74b7348c70b55783abd467bd732df15dcaf30a8e Mon Sep 17 00:00:00 2001 From: wang_ziqi Date: Tue, 5 Aug 2025 11:05:24 +0800 Subject: [PATCH] bn/syncbn is infer mode by default ------ Signed-off-by: wang_ziqi --- .../source_en/note/api_mapping/pytorch_api_mapping.md | 10 +++++----- .../note/api_mapping/pytorch_api_mapping.md | 10 +++++----- 2 files changed, 10 insertions(+), 10 deletions(-) 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 9b2e363103..81a23c966e 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 2af08cd1ef..c800555280 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) | -- Gitee