[Docs] 更新第二类api_difference差异文档

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torch.Tensor.argwhere.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.Tensor.argwhere.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torch.Tensor.argwhere
+## [ 仅 API 调用方式不一致 ]torch.Tensor.argwhere
 ### [torch.Tensor.argwhere](https://pytorch.org/docs/stable/generated/torch.Tensor.argwhere.html#torch.Tensor.argwhere)
 ```python
 torch.Tensor.argwhere()

docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.Tensor.bernoulli.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.Tensor.bernoulli.md

@@ -1,4 +1,4 @@
-## [ torch 参数更多 ]torch.Tensor.bernoulli
+## [ 仅 API 调用方式不一致 ]torch.Tensor.bernoulli
 ### [torch.Tensor.bernoulli](https://pytorch.org/docs/stable/generated/torch.Tensor.bernoulli.html#torch.Tensor.bernoulli)
 ```python
 torch.Tensor.bernoulli(p=None, *, generator=None)

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torch.Tensor.pinverse.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.Tensor.pinverse.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torch.Tensor.pinverse
+## [ 仅 API 调用方式不一致 ]torch.Tensor.pinverse
 
 ### [torch.Tensor.pinverse](https://pytorch.org/docs/stable/generated/torch.Tensor.pinverse.html#torch.Tensor.pinverse)
 ```python

docs/guides/model_convert/convert_from_pytorch/api_difference/args_name_diff/torch.autograd.function.FunctionCtx.mark_non_differentiable.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.autograd.function.FunctionCtx.mark_non_differentiable.md

@@ -1,4 +1,4 @@
-## [ 仅参数名不一致 ]torch.autograd.function.FunctionCtx.mark_non_differentiable
+## [ 仅 API 调用方式不一致 ]torch.autograd.function.FunctionCtx.mark_non_differentiable
 ### [torch.autograd.function.FunctionCtx.mark_non_differentiable](https://pytorch.org/docs/stable/generated/torch.autograd.function.FunctionCtx.mark_non_differentiable.html#torch.autograd.function.FunctionCtx.mark_non_differentiable)
 ```python
 torch.autograd.function.FunctionCtx.mark_non_differentiable(*args)

docs/guides/model_convert/convert_from_pytorch/api_difference/output_args_type_diff/torch.cuda.get_rng_state_all.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.cuda.get_rng_state_all.md

@@ -1,4 +1,4 @@
-## [ 返回参数类型不一致 ]torch.cuda.get_rng_state_all
+## [ 仅 API 调用方式不一致 ]torch.cuda.get_rng_state_all
 ### [torch.cuda.get_rng_state_all](https://pytorch.org/docs/stable/generated/torch.cuda.get_rng_state_all.html#torch.cuda.get_rng_state_all)
 ```python
 torch.cuda.get_rng_state_all()

docs/guides/model_convert/convert_from_pytorch/api_difference/output_args_type_diff/torch.cuda.manual_seed.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.cuda.manual_seed.md

@@ -1,4 +1,4 @@
-## [ 返回参数类型不一致 ]torch.cuda.manual_seed
+## [ 仅 API 调用方式不一致 ]torch.cuda.manual_seed
 ### [torch.cuda.manual_seed](https://pytorch.org/docs/stable/generated/torch.cuda.manual_seed.html#torch.cuda.manual_seed)
 ```python
 torch.cuda.manual_seed(seed)

docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.distributed.ReduceOp.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.distributed.ReduceOp.md

@@ -1,4 +1,4 @@
-## [ torch 参数更多 ]torch.distributed.ReduceOp
+## [ 仅 API 调用方式不一致 ]torch.distributed.ReduceOp
 ### [torch.distributed.ReduceOp](https://pytorch.org/docs/stable/distributed.html?highlight=torch+distributed+reduceop#torch.distributed.ReduceOp)
 ```python
 torch.distributed.ReduceOp

docs/guides/model_convert/convert_from_pytorch/api_difference/output_args_type_diff/torch.max.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.max.md

@@ -1,4 +1,4 @@
-## [ 返回参数类型不一致 ]torch.max
+## [ 仅 API 调用方式不一致 ]torch.max
 输入一个 Tensor 对应 paddle.max，输入两个 Tensor 对应 paddle.maximum，因此有两组差异分析，分别如下：
 
 -------------------------------------------------------------------------------------------------

docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.median.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.median.md

@@ -1,4 +1,4 @@
-## [ torch 参数更多 ]torch.median
+## [ 仅 API 调用方式不一致 ]torch.median
 ### [torch.median](https://pytorch.org/docs/stable/generated/torch.median.html?highlight=median#torch.median)
 ```python
 torch.median(input,

docs/guides/model_convert/convert_from_pytorch/api_difference/output_args_type_diff/torch.min.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.min.md

@@ -1,4 +1,4 @@
-## [ 返回参数类型不一致 ]torch.min
+## [ 仅 API 调用方式不一致 ]torch.min
 输入一个 Tensor 对应 paddle.min，输入两个 Tensor 对应 paddle.minimum，因此有两组差异分析，分别如下：
 
 --------------------------------------------------------------------------------------------------

docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nanmedian.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.nanmedian.md

@@ -1,4 +1,4 @@
-## [ torch 参数更多 ]torch.nanmedian
+## [ 仅 API 调用方式不一致 ]torch.nanmedian
 ### [torch.nanmedian](https://pytorch.org/docs/stable/generated/torch.nanmedian.html?highlight=nanmedian#torch.nanmedian)
 ```python
 torch.nanmedian(input,

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torch.nn.AdaptiveAvgPool2d.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.nn.AdaptiveAvgPool2d.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torch.nn.AdaptiveAvgPool2d
+## [ 仅 API 调用方式不一致 ]torch.nn.AdaptiveAvgPool2d
 ### [torch.nn.AdaptiveAvgPool2d](https://pytorch.org/docs/stable/generated/torch.nn.AdaptiveAvgPool2d.html)
 ```python
 torch.nn.AdaptiveAvgPool2d(output_size)

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torch.nn.AdaptiveAvgPool3d.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.nn.AdaptiveAvgPool3d.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torch.nn.AdaptiveAvgPool3d
+## [ 仅 API 调用方式不一致 ]torch.nn.AdaptiveAvgPool3d
 ### [torch.nn.AdaptiveAvgPool3d](https://pytorch.org/docs/stable/generated/torch.nn.AdaptiveAvgPool3d.html)
 ```python
 torch.nn.AdaptiveAvgPool3d(output_size)

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torch.nn.MaxUnpool1d.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.nn.MaxUnpool1d.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torch.nn.MaxUnpool1d
+## [ 仅 API 调用方式不一致 ]torch.nn.MaxUnpool1d
 ### [torch.nn.MaxUnpool1d](https://pytorch.org/docs/stable/generated/torch.nn.MaxUnpool1d.html?highlight=maxunpool1d#torch.nn.MaxUnpool1d)
 ```python
 torch.nn.MaxUnpool1d(kernel_size,

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torch.nn.MaxUnpool2d.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.nn.MaxUnpool2d.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torch.nn.MaxUnpool2d
+## [ 仅 API 调用方式不一致 ]torch.nn.MaxUnpool2d
 ### [torch.nn.MaxUnpool2d](https://pytorch.org/docs/stable/generated/torch.nn.MaxUnpool2d.html?highlight=maxunpool2d#torch.nn.MaxUnpool2d)
 ```python
 torch.nn.MaxUnpool2d(kernel_size,

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torch.nn.MaxUnpool3d.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.nn.MaxUnpool3d.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torch.nn.MaxUnpool3d
+## [ 仅 API 调用方式不一致 ]torch.nn.MaxUnpool3d
 ### [torch.nn.MaxUnpool3d](https://pytorch.org/docs/stable/generated/torch.nn.MaxUnpool3d.html?highlight=maxunpool3d#torch.nn.MaxUnpool3d)
 ```python
 torch.nn.MaxUnpool3d(kernel_size,

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torch.nn.Module.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.nn.Module.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torch.nn.Module
+## [ 仅 API 调用方式不一致 ]torch.nn.Module
 
 ### [torch.nn.Module](https://pytorch.org/docs/stable/generated/torch.nn.Module.html?highlight=torch+nn+module#torch.nn.Module)
 ```python

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torch.nn.Module.modules.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.nn.Module.modules.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torch.nn.Module.modules
+## [ 仅 API 调用方式不一致 ]torch.nn.Module.modules
 ### [torch.nn.Module.modules](https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module.modules)
 ```python
 torch.nn.Module.modules()

docs/guides/model_convert/convert_from_pytorch/api_difference/args_name_diff/torch.nn.Unfold.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.nn.Unfold.md

@@ -1,4 +1,4 @@
-## [ 仅参数名不一致 ]torch.nn.Unfold
+## [ 仅 API 调用方式不一致 ]torch.nn.Unfold
 ### [torch.nn.Unfold](https://pytorch.org/docs/stable/generated/torch.nn.Unfold.html?highlight=nn+unfold#torch.nn.Unfold)
 ```python
 torch.nn.Unfold(kernel_size,

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torch.nn.UpsamplingBilinear2d.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.nn.UpsamplingBilinear2d.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torch.nn.UpsamplingBilinear2d
+## [ 仅 API 调用方式不一致 ]torch.nn.UpsamplingBilinear2d
 ### [torch.nn.UpsamplingBilinear2d](https://pytorch.org/docs/stable/generated/torch.nn.UpsamplingBilinear2d.html?highlight=upsamplingbilinear2d#torch.nn.UpsamplingBilinear2d)
 ```python
 torch.nn.UpsamplingBilinear2d(size=None, scale_factor=None)

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torch.nn.UpsamplingNearest2d.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.nn.UpsamplingNearest2d.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torch.nn.UpsamplingNearest2d
+## [ 仅 API 调用方式不一致 ]torch.nn.UpsamplingNearest2d
 ### [torch.nn.UpsamplingNearest2d](https://pytorch.org/docs/stable/generated/torch.nn.UpsamplingNearest2d.html?highlight=upsampl#torch.nn.UpsamplingNearest2d)
 ```python
 torch.nn.UpsamplingNearest2d(size=None, scale_factor=None)

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torch.nn.ZeroPad2d.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.nn.ZeroPad2d.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torch.nn.ZeroPad2d
+## [ 仅 API 调用方式不一致 ]torch.nn.ZeroPad2d
 
 ### [torch.nn.ZeroPad2d](https://pytorch.org/docs/stable/generated/torch.nn.ZeroPad2d.html?highlight=zeropad#torch.nn.ZeroPad2d)
 ```python

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torch.nn.functional.pad.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.nn.functional.pad.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torch.nn.functional.pad
+## [ 仅 API 调用方式不一致 ]torch.nn.functional.pad
 ### [torch.nn.functional.pad](https://pytorch.org/docs/stable/generated/torch.nn.functional.pad.html)
 ```python
 torch.nn.functional.pad(input,

docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.nn.functional.softmax.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.nn.functional.softmax.md

@@ -1,4 +1,4 @@
-## [ torch 参数更多 ]torch.nn.functional.softmax
+## [ 仅 API 调用方式不一致 ]torch.nn.functional.softmax
 ### [torch.nn.functional.softmax](https://pytorch.org/docs/stable/generated/torch.nn.functional.softmax.html#torch.nn.functional.softmax)
 ```python
 torch.nn.functional.softmax(input, dim=None, _stacklevel=3, dtype=None)

docs/guides/model_convert/convert_from_pytorch/api_difference/torch_more_args/torch.optim.Optimizer.step.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.optim.Optimizer.step.md

@@ -1,4 +1,4 @@
-## [ torch 参数更多 ]torch.optim.Optimizer.step
+## [ 仅 API 调用方式不一致 ]torch.optim.Optimizer.step
 ### [torch.optim.Optimizer.step](https://pytorch.org/docs/stable/generated/torch.optim.Optimizer.step.html#torch-optim-optimizer-step)
 ```python
 torch.optim.Optimizer.step(closure)

docs/guides/model_convert/convert_from_pytorch/api_difference/output_args_type_diff/torch.sort.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.sort.md

@@ -1,4 +1,4 @@
-## [ 返回参数类型不一致 ]torch.sort
+## [ 仅 API 调用方式不一致 ]torch.sort
 ### [torch.sort](https://pytorch.org/docs/stable/generated/torch.sort.html?highlight=sort#torch.sort)
 ```python
 torch.sort(input,

docs/guides/model_convert/convert_from_pytorch/api_difference/input_args_usage_diff/torch.split.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.split.md

@@ -1,4 +1,4 @@
-## [ 输入参数用法不一致 ]torch.split
+## [ 仅 API 调用方式不一致 ]torch.split
 ### [torch.split](https://pytorch.org/docs/stable/generated/torch.split.html?highlight=torch%20split#torch.split)
 ```python
 torch.split(tensor,

docs/guides/model_convert/convert_from_pytorch/api_difference/output_args_type_diff/torch.utils.data.default_collate.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torch.utils.data.default_collate.md

@@ -1,4 +1,4 @@
-## [ 返回参数类型不一致 ]torch.utils.data.default_collate
+## [ 仅 API 调用方式不一致 ]torch.utils.data.default_collate
 ### [torch.utils.data.default_collate](https://pytorch.org/docs/stable/data.html?highlight=default_collate#torch.utils.data.default_collate)
 ```python
 torch.utils.data.default_collate(batch)

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torchvision.transforms.CenterCrop.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torchvision.transforms.CenterCrop.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torchvision.transforms.CenterCrop
+## [ 仅 API 调用方式不一致 ]torchvision.transforms.CenterCrop
 ### [torchvision.transforms.CenterCrop](https://pytorch.org/vision/main/generated/torchvision.transforms.CenterCrop.html)
 ```python
 torchvision.transforms.CenterCrop(

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torchvision.transforms.ColorJitter.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torchvision.transforms.ColorJitter.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torchvision.transforms.ColorJitter
+## [ 仅 API 调用方式不一致 ]torchvision.transforms.ColorJitter
 ### [torchvision.transforms.ColorJitter](https://pytorch.org/vision/main/generated/torchvision.transforms.ColorJitter.html)
 ```python
 torchvision.transforms.ColorJitter(brightness: Union[float, Tuple[float, float]] = 0, contrast: Union[float, Tuple[float, float]] = 0, saturation: Union[float, Tuple[float, float]] = 0, hue: Union[float, Tuple[float, float]] = 0)

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torchvision.transforms.Grayscale.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torchvision.transforms.Grayscale.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torchvision.transforms.Grayscale
+## [ 仅 API 调用方式不一致 ]torchvision.transforms.Grayscale
 
 ### [torchvision.transforms.Grayscale](https://pytorch.org/vision/main/generated/torchvision.transforms.Grayscale.html)
 ```python

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torchvision.transforms.Pad.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torchvision.transforms.Pad.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torchvision.transforms.Pad
+## [ 仅 API 调用方式不一致 ]torchvision.transforms.Pad
 
 ### [torchvision.transforms.Pad](https://pytorch.org/vision/main/generated/torchvision.transforms.Pad.html)
 

docs/guides/model_convert/convert_from_pytorch/api_difference/input_args_type_diff/torchvision.transforms.RandomAffine.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torchvision.transforms.RandomAffine.md

@@ -1,4 +1,4 @@
-## [ 输入参数类型不一致 ]torchvision.transforms.RandomAffine
+## [ 仅 API 调用方式不一致 ]torchvision.transforms.RandomAffine
 ### [torchvision.transforms.RandomAffine](https://pytorch.org/vision/main/generated/torchvision.transforms.RandomAffine.html)
 ```python
 torchvision.transforms.RandomAffine(

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torchvision.transforms.RandomCrop.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torchvision.transforms.RandomCrop.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torchvision.transforms.RandomCrop
+## [ 仅 API 调用方式不一致 ]torchvision.transforms.RandomCrop
 ### [torchvision.transforms.RandomCrop](https://pytorch.org/vision/main/generated/torchvision.transforms.RandomCrop.html)
 ```python
 torchvision.transforms.RandomCrop(

docs/guides/model_convert/convert_from_pytorch/api_difference/input_args_type_diff/torchvision.transforms.RandomRotation.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torchvision.transforms.RandomRotation.md

@@ -1,4 +1,4 @@
-## [ 输入参数类型不一致 ]torchvision.transforms.RandomRotation
+## [ 仅 API 调用方式不一致 ]torchvision.transforms.RandomRotation
 ### [torchvision.transforms.RandomRotation](https://pytorch.org/vision/main/generated/torchvision.transforms.RandomRotation.html)
 ```python
 torchvision.transforms.RandomRotation(

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torchvision.transforms.ToTensor.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torchvision.transforms.ToTensor.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torchvision.transforms.ToTensor
+## [ 仅 API 调用方式不一致 ]torchvision.transforms.ToTensor
 ### [torchvision.transforms.ToTensor](https://pytorch.org/vision/main/generated/torchvision.transforms.ToTensor.html?highlight=totensor#torchvision.transforms.ToTensor)
 ```python
 torchvision.transforms.ToTensor()

docs/guides/model_convert/convert_from_pytorch/api_difference/input_args_type_diff/torchvision.transforms.functional.affine.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torchvision.transforms.functional.affine.md

@@ -1,4 +1,4 @@
-## [ 输入参数类型不一致 ]torchvision.transforms.functional.affine
+## [ 仅 API 调用方式不一致 ]torchvision.transforms.functional.affine
 ### [torchvision.transforms.functional.affine](https://pytorch.org/vision/main/generated/torchvision.transforms.functional.affine.html)
 ```python
 torchvision.transforms.functional.affine(img: Tensor,

docs/guides/model_convert/convert_from_pytorch/api_difference/input_args_type_diff/torchvision.transforms.functional.perspective.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torchvision.transforms.functional.perspective.md

@@ -1,4 +1,4 @@
-## [ 输入参数类型不一致 ]torchvision.transforms.functional.perspective
+## [ 仅 API 调用方式不一致 ]torchvision.transforms.functional.perspective
 ### [torchvision.transforms.functional.perspective](https://pytorch.org/vision/main/generated/torchvision.transforms.functional.perspective.html#perspective)
 ```python
 torchvision.transforms.functional.perspective(

docs/guides/model_convert/convert_from_pytorch/api_difference/input_args_type_diff/torchvision.transforms.functional.rotate.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torchvision.transforms.functional.rotate.md

@@ -1,4 +1,4 @@
-## [ 输入参数类型不一致 ]torchvision.transforms.functional.rotate
+## [ 仅 API 调用方式不一致 ]torchvision.transforms.functional.rotate
 ### [torchvision.transforms.functional.rotate](https://pytorch.org/vision/stable/generated/torchvision.transforms.functional.rotate.html)
 ```python
 torchvision.transforms.functional.rotate(img: Tensor, angle: float, interpolation: InterpolationMode = InterpolationMode.NEAREST, expand: bool = False, center: Optional[List[int]] = None, fill: Optional[List[float]] = None)

docs/guides/model_convert/convert_from_pytorch/api_difference/paddle_more_args/torchvision.transforms.functional.to_tensor.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/torchvision.transforms.functional.to_tensor.md

@@ -1,4 +1,4 @@
-## [ paddle 参数更多 ]torchvision.transforms.functional.to_tensor
+## [ 仅 API 调用方式不一致 ]torchvision.transforms.functional.to_tensor
 ### [torchvision.transforms.functional.to_tensor](https://pytorch.org/vision/main/generated/torchvision.transforms.functional.to_tensor.html)
 ```python
 torchvision.transforms.functional.to_tensor(pic: Union[PIL.Image.Image, numpy.ndarray])

docs/guides/model_convert/convert_from_pytorch/api_difference/args_name_diff/transformers.StoppingCriteriaList.md → docs/guides/model_convert/convert_from_pytorch/api_difference/invok_diff_only/transformers.StoppingCriteriaList.md

@@ -1,4 +1,4 @@
-## [ 仅参数名不一致 ]transformers.StoppingCriteriaList
+## [ 仅 API 调用方式不一致 ]transformers.StoppingCriteriaList
 ### [transformers.StoppingCriteriaList](https://github.com/huggingface/transformers/blob/d625294d79341662784495551abdf45e6cb9372f/src/transformers/generation/stopping_criteria.py#L503)
 ```python
 transformers.StoppingCriteriaList(input_ids: torch.LongTensor, scores: torch.FloatTensor, **kwargs)

docs/guides/model_convert/convert_from_pytorch/tools/generate_pytorch_api_mapping.py

@@ -269,7 +269,7 @@ def generate_api_alias_table(
     # 遍历api_alias_data，为每个别名映射生成表格行
     for torch_api, torch_api_alias in api_alias_data.items():
         # 检查API是否已经在前面的类别中处理过
-        if torch_api in existing_apis or torch_api_alias in existing_apis:
+        if torch_api in existing_apis:
             continue
 
         # 在docs_mapping中查找torch_api_alias对应的Paddle API
@@ -309,7 +309,6 @@ def generate_api_alias_table(
         used_apis.add(torch_api)
         used_apis.add(torch_api_alias)
         existing_apis.add(torch_api)
-        existing_apis.add(torch_api_alias)
 
     # 生成Markdown表格字符串
     table_lines = TABLE_HEADER_LINES.copy()
@@ -370,6 +369,7 @@ def generate_no_implement_table(
         )
 
         # 检查API是否已经在前面的类别中处理过
+        torch_api = torch_api.replace(r"\_", "_")
         if torch_api in existing_apis:
             continue
 
@@ -411,7 +411,7 @@ def generate_no_implement_table(
     # 生成Markdown表格字符串
     table_lines = TABLE_HEADER_LINES.copy()
 
-    for idx, (_, col2, col3, mapping_category, remark) in enumerate(
+    for idx, (torch_api, col2, col3, mapping_category, remark) in enumerate(
         rows, start=1
     ):
         table_lines.append(
@@ -449,6 +449,7 @@ def update_mapping_table(
         if api_name in existing_apis:
             continue
 
+        existing_apis.add(api_name)
         mapping_info = api_mapping_dict.get(api_name, {})
         dst_api = mapping_info.get("dst_api", "-")