diff --git a/docs/api/paddle/distributed/fleet/UtilBase_cn.rst b/docs/api/paddle/distributed/fleet/UtilBase_cn.rst
index 2db7a38a6ea..4086cc9893c 100644
--- a/docs/api/paddle/distributed/fleet/UtilBase_cn.rst
+++ b/docs/api/paddle/distributed/fleet/UtilBase_cn.rst
@@ -9,43 +9,43 @@ UtilBase
 方法
 ::::::::::::
 all_reduce(input, mode="sum", comm_world="worker")
-'''''''''
+''''''''''''''''''''''''''''''''''''''''''''''''''
 在指定的通信集合间进行归约操作，并将归约结果返回给集合中每个实例。
 
 **参数**
 
     - **input** (list|tuple|numpy.array) – 归约操作的输入。
     - **mode** (str) - 归约操作的模式，包含求和，取最大值和取最小值，默认为求和归约。
-    - **comm_world** (str) - 归约操作的通信集合，包含：server 集合(``server``)，worker 集合(``worker``)及所有节点集合(``all``)，默认为 worker 集合。
+    - **comm_world** (str) - 归约操作的通信集合，包含：server 集合 (``server``)，worker 集合 (``worker``) 及所有节点集合 (``all``)，默认为 worker 集合。
 
 **返回**
 
-Numpy.array|None：一个和``input``形状一致的 numpy 数组或 None。
+Numpy.array|None：一个和 ``input`` 形状一致的 numpy 数组或 None。
 
 **代码示例**
 
 COPY-FROM: paddle.distributed.fleet.UtilBase.all_reduce
 
 barrier(comm_world="worker")
-'''''''''
+''''''''''''''''''''''''''''
 在指定的通信集合间进行阻塞操作，以实现集合间进度同步。
 
 **参数**
 
-   - **comm_world** (str) - 阻塞操作的通信集合，包含：server 集合(``server``)，worker 集合(``worker``)及所有节点集合(``all``)，默认为 worker 集合。
+   - **comm_world** (str) - 阻塞操作的通信集合，包含：server 集合 (``server``)，worker 集合 (``worker``) 及所有节点集合 (``all``)，默认为 worker 集合。
 
 **代码示例**
 
 COPY-FROM: paddle.distributed.fleet.UtilBase.barrier
 
 all_gather(input, comm_world="worker")
-'''''''''
+''''''''''''''''''''''''''''''''''''''''
 在指定的通信集合间进行聚合操作，并将聚合的结果返回给集合中每个实例。
 
 **参数**
 
    - **input** (int|float) - 聚合操作的输入。
-   - **comm_world** (str) - 聚合操作的通信集合，包含：server 集合(``server``)，worker 集合(``worker``)及所有节点集合(``all``)，默认为 worker 集合。
+   - **comm_world** (str) - 聚合操作的通信集合，包含：server 集合 (``server``)，worker 集合 (``worker``) 及所有节点集合 (``all``)，默认为 worker 集合。
 
 **返回**
 
@@ -56,7 +56,7 @@ all_gather(input, comm_world="worker")
 COPY-FROM: paddle.distributed.fleet.UtilBase.all_gather
 
 get_file_shard(files)
-'''''''''
+'''''''''''''''''''''
 在数据并行的分布式训练中，获取属于当前训练节点的文件列表。
 
 .. code-block:: text
@@ -77,8 +77,7 @@ get_file_shard(files)
 COPY-FROM: paddle.distributed.fleet.UtilBase.get_file_shard
 
 print_on_rank(message, rank_id)
-'''''''''
-
+'''''''''''''''''''''''''''''''''
 在编号为 `rank_id` 的节点上打印指定信息。
 
 **参数**
diff --git a/docs/guides/model_convert/convert_from_pytorch/pytorch_api_mapping_cn.md b/docs/guides/model_convert/convert_from_pytorch/pytorch_api_mapping_cn.md
index 80b15dded71..e5b613efc70 100644
--- a/docs/guides/model_convert/convert_from_pytorch/pytorch_api_mapping_cn.md
+++ b/docs/guides/model_convert/convert_from_pytorch/pytorch_api_mapping_cn.md
@@ -60,20 +60,20 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 10 | [torch.Tensor.short](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.short) | paddle.Tensor.short | - |
 | 11 | [torch.Tensor.cfloat](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.cfloat) | paddle.Tensor.cfloat | - |
 | 12 | [torch.Tensor.cdouble](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.cdouble) | paddle.Tensor.cdouble | - |
-| 13 | [torch.nn.init.calculate_gain](https://pytorch.org/docs/stable/generated/torch.nn.init.calculate_gain.html#torch.nn.init.calculate_gain) | paddle.nn.init.calculate_gain | - |
-| 14 | [torch.nn.init.constant_](https://pytorch.org/docs/stable/generated/torch.nn.init.constant_.html#torch.nn.init.constant_) | paddle.nn.init.constant_ | - |
-| 15 | [torch.nn.init.dirac_](https://pytorch.org/docs/stable/generated/torch.nn.init.dirac_.html#torch.nn.init.dirac_) | paddle.nn.init.dirac_ | - |
-| 16 | [torch.nn.init.eye_](https://pytorch.org/docs/stable/generated/torch.nn.init.eye_.html#torch.nn.init.eye_) | paddle.nn.init.eye_ | - |
-| 17 | [torch.nn.init.kaiming_normal_](https://pytorch.org/docs/stable/generated/torch.nn.init.kaiming_normal_.html#torch.nn.init.kaiming_normal_) | paddle.nn.init.kaiming_normal_ | - |
-| 18 | [torch.nn.init.kaiming_uniform_](https://pytorch.org/docs/stable/generated/torch.nn.init.kaiming_uniform_.html#torch.nn.init.kaiming_uniform_) | paddle.nn.init.kaiming_uniform_ | - |
-| 19 | [torch.nn.init.normal_](https://pytorch.org/docs/stable/generated/torch.nn.init.normal_.html#torch.nn.init.normal_) | paddle.nn.init.normal_ | - |
-| 20 | [torch.nn.init.ones_](https://pytorch.org/docs/stable/generated/torch.nn.init.ones_.html#torch.nn.init.ones_) | paddle.nn.init.ones_ | - |
-| 21 | [torch.nn.init.orthogonal_](https://pytorch.org/docs/stable/generated/torch.nn.init.orthogonal_.html#torch.nn.init.orthogonal_) | paddle.nn.init.orthogonal_ | - |
-| 22 | [torch.nn.init.trunc_normal_](https://pytorch.org/docs/stable/generated/torch.nn.init.trunc_normal_.html#torch.nn.init.trunc_normal_) | paddle.nn.init.trunc_normal_ | - |
-| 23 | [torch.nn.init.uniform_](https://pytorch.org/docs/stable/generated/torch.nn.init.uniform_.html#torch.nn.init.uniform_) | paddle.nn.init.uniform_ | - |
-| 24 | [torch.nn.init.xavier_normal_](https://pytorch.org/docs/stable/generated/torch.nn.init.xavier_normal_.html#torch.nn.init.xavier_normal_) | paddle.nn.init.xavier_normal_ | - |
-| 25 | [torch.nn.init.xavier_uniform_](https://pytorch.org/docs/stable/generated/torch.nn.init.xavier_uniform_.html#torch.nn.init.xavier_uniform_) | paddle.nn.init.xavier_uniform_ | - |
-| 26 | [torch.nn.init.zeros_](https://pytorch.org/docs/stable/generated/torch.nn.init.zeros_.html#torch.nn.init.zeros_) | paddle.nn.init.zeros_ | - |
+| 13 | [torch.nn.init.calculate_gain](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.calculate_gain) | paddle.nn.init.calculate_gain | - |
+| 14 | [torch.nn.init.constant_](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.constant_) | paddle.nn.init.constant_ | - |
+| 15 | [torch.nn.init.dirac_](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.dirac_) | paddle.nn.init.dirac_ | - |
+| 16 | [torch.nn.init.eye_](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.eye_) | paddle.nn.init.eye_ | - |
+| 17 | [torch.nn.init.kaiming_normal_](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.kaiming_normal_) | paddle.nn.init.kaiming_normal_ | - |
+| 18 | [torch.nn.init.kaiming_uniform_](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.kaiming_uniform_) | paddle.nn.init.kaiming_uniform_ | - |
+| 19 | [torch.nn.init.normal_](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.normal_) | paddle.nn.init.normal_ | - |
+| 20 | [torch.nn.init.ones_](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.ones_) | paddle.nn.init.ones_ | - |
+| 21 | [torch.nn.init.orthogonal_](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.orthogonal_) | paddle.nn.init.orthogonal_ | - |
+| 22 | [torch.nn.init.trunc_normal_](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.trunc_normal_) | paddle.nn.init.trunc_normal_ | - |
+| 23 | [torch.nn.init.uniform_](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.uniform_) | paddle.nn.init.uniform_ | - |
+| 24 | [torch.nn.init.xavier_normal_](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.xavier_normal_) | paddle.nn.init.xavier_normal_ | - |
+| 25 | [torch.nn.init.xavier_uniform_](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.xavier_uniform_) | paddle.nn.init.xavier_uniform_ | - |
+| 26 | [torch.nn.init.zeros_](https://pytorch.org/docs/stable/nn.init.html#torch.nn.init.zeros_) | paddle.nn.init.zeros_ | - |
 | 27 | [torch.nn.Conv1d](https://pytorch.org/docs/stable/generated/torch.nn.Conv1d.html#torch.nn.Conv1d) | paddle.nn.Conv1d | - |
 | 28 | [torch.nn.Conv2d](https://pytorch.org/docs/stable/generated/torch.nn.Conv2d.html#torch.nn.Conv2d) | paddle.nn.Conv2d | - |
 | 29 | [torch.nn.Conv3d](https://pytorch.org/docs/stable/generated/torch.nn.Conv3d.html#torch.nn.Conv3d) | paddle.nn.Conv3d | - |
@@ -108,14 +108,14 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 58 | [torch.autograd.Function](https://pytorch.org/docs/stable/generated/torch.autograd.Function.html#torch.autograd.Function) | paddle.autograd.Function | - |
 | 59 | [torch.take_along_dim](https://pytorch.org/docs/stable/torch.html#torch.take_along_dim) | paddle.take_along_dim | - |
 | 60 | [torch.Tensor.take_along_dim](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.take_along_dim) | paddle.Tensor.take_along_dim | - |
-| 61 | [torch.special.logsumexp](https://pytorch.org/docs/stable/generated/torch.special.logsumexp.html#torch.special.logsumexp) | paddle.special.logsumexp | - |
+| 61 | [torch.special.logsumexp](https://pytorch.org/docs/stable/special.html#torch.special.logsumexp) | paddle.special.logsumexp | - |
 | 62 | [torch.argwhere](https://pytorch.org/docs/stable/torch.html#torch.argwhere) | paddle.argwhere | - |
 | 63 | [torch.concatenate](https://pytorch.org/docs/stable/torch.html#torch.concatenate) | paddle.concatenate | - |
 | 64 | [torch.is_autocast_enabled](https://pytorch.org/docs/stable/torch.html#torch.is_autocast_enabled) | paddle.is_autocast_enabled | - |
 | 65 | [torch.get_autocast_gpu_dtype](https://pytorch.org/docs/stable/torch.html#torch.get_autocast_gpu_dtype) | paddle.get_autocast_gpu_dtype | - |
 | 66 | [torch.cumsum](https://pytorch.org/docs/stable/torch.html#torch.cumsum) | paddle.cumsum | - |
 | 67 | [torch.diff](https://pytorch.org/docs/stable/torch.html#torch.diff) | paddle.diff | - |
-| 68 | [torch.nn.functional.dropout1d](https://pytorch.org/docs/stable/generated/torch.nn.functional.dropout1d.html#torch.nn.functional.dropout1d) | paddle.nn.functional.dropout1d | - |
+| 68 | [torch.nn.functional.dropout1d](https://pytorch.org/docs/stable/nn.functional.html#torch.nn.functional.dropout1d) | paddle.nn.functional.dropout1d | - |
 | 69 | [torch.nn.parameter.Parameter](https://pytorch.org/docs/stable/generated/torch.nn.parameter.Parameter.html#torch.nn.parameter.Parameter) | paddle.nn.parameter.Parameter | - |
 | 70 | [torch.add](https://pytorch.org/docs/stable/torch.html#torch.add) | paddle.add | - |
 | 71 | [torch.div](https://pytorch.org/docs/stable/torch.html#torch.div) | paddle.div | - |
@@ -150,10 +150,10 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 100 | [torch.Tensor.new_full](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.new_full) | paddle.Tensor.new_full | - |
 | 101 | [torch.Tensor.new_empty](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.new_empty) | paddle.Tensor.new_empty | - |
 | 102 | [torch.eye](https://pytorch.org/docs/stable/torch.html#torch.eye) | paddle.eye | - |
-| 103 | [torch.cuda.cudart](https://pytorch.org/docs/stable/generated/torch.cuda.cudart.html#torch.cuda.cudart) | paddle.cuda.cudart | - |
-| 104 | [torch.cuda.check_error](https://pytorch.org/docs/stable/generated/torch.cuda.check_error.html#torch.cuda.check_error) | paddle.cuda.check_error | - |
-| 105 | [torch.cuda.mem_get_info](https://pytorch.org/docs/stable/generated/torch.cuda.mem_get_info.html#torch.cuda.mem_get_info) | paddle.cuda.mem_get_info | - |
-| 106 | [torch.cuda.is_initialized](https://pytorch.org/docs/stable/generated/torch.cuda.is_initialized.html#torch.cuda.is_initialized) | paddle.cuda.is_initialized | - |
+| 103 | [torch.cuda.cudart](https://pytorch.org/docs/stable/cuda.html#torch.cuda.cudart) | paddle.cuda.cudart | - |
+| 104 | [torch.cuda.check_error](https://pytorch.org/docs/stable/cuda.html#torch.cuda.check_error) | paddle.cuda.check_error | - |
+| 105 | [torch.cuda.mem_get_info](https://pytorch.org/docs/stable/cuda.html#torch.cuda.mem_get_info) | paddle.cuda.mem_get_info | - |
+| 106 | [torch.cuda.is_initialized](https://pytorch.org/docs/stable/cuda.html#torch.cuda.is_initialized) | paddle.cuda.is_initialized | - |
 | 107 | [torch.permute](https://pytorch.org/docs/stable/torch.html#torch.permute) | paddle.permute | - |
 | 108 | [torch.Tensor.permute](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.permute) | paddle.Tensor.permute | - |
 | 109 | [torch.repeat_interleave](https://pytorch.org/docs/stable/torch.html#torch.repeat_interleave) | paddle.repeat_interleave | - |
@@ -167,7 +167,7 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 117 | [torch.amax](https://pytorch.org/docs/stable/torch.html#torch.amax) | paddle.amax | - |
 | 118 | [torch.Tensor.stride](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.stride) | paddle.Tensor.stride | - |
 | 119 | [torch.Tensor.get_device](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.get_device) | paddle.Tensor.get_device | - |
-| 120 | [torch.random.initial_seed](https://pytorch.org/docs/stable/generated/torch.random.initial_seed.html#torch.random.initial_seed) | paddle.random.initial_seed | - |
+| 120 | [torch.random.initial_seed](https://pytorch.org/docs/stable/random.html#torch.random.initial_seed) | paddle.random.initial_seed | - |
 | 121 | [torch.as_tensor](https://pytorch.org/docs/stable/torch.html#torch.as_tensor) | paddle.as_tensor | - |
 | 122 | [torch.tensor](https://pytorch.org/docs/stable/torch.html#torch.tensor) | paddle.tensor | - |
 | 123 | [torch.Tensor.copy_](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.copy_) | paddle.Tensor.copy_ | - |
@@ -184,19 +184,19 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 134 | [torch.LongTensor](https://pytorch.org/docs/stable/torch.html#torch.LongTensor) | paddle.LongTensor | - |
 | 135 | [torch.BoolTensor](https://pytorch.org/docs/stable/torch.html#torch.BoolTensor) | paddle.BoolTensor | - |
 | 136 | [torch.norm](https://pytorch.org/docs/stable/torch.html#torch.norm) | paddle.norm | - |
-| 137 | [torch.linalg.norm](https://pytorch.org/docs/stable/generated/torch.linalg.norm.html#torch.linalg.norm) | paddle.linalg.norm | - |
+| 137 | [torch.linalg.norm](https://pytorch.org/docs/stable/linalg.html#torch.linalg.norm) | paddle.linalg.norm | - |
 | 138 | [torch.Tensor.size](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.size) | paddle.Tensor.size | - |
 | 139 | [torch.Tensor.to](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.to) | paddle.Tensor.to | - |
-| 140 | [torch.nn.Module.to](https://pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module.to) | paddle.nn.Module.to | - |
-| 141 | [torch.linalg.vector_norm](https://pytorch.org/docs/stable/generated/torch.linalg.vector_norm.html#torch.linalg.vector_norm) | paddle.linalg.vector_norm | - |
-| 142 | [torch.functional.split](https://pytorch.org/docs/stable/generated/torch.functional.split.html#torch.functional.split) | paddle.functional.split | - |
-| 143 | [torch.functional.unique_consecutive](https://pytorch.org/docs/stable/generated/torch.functional.unique_consecutive.html#torch.functional.unique_consecutive) | paddle.functional.unique_consecutive | - |
-| 144 | [torch.functional.atleast_1d](https://pytorch.org/docs/stable/generated/torch.functional.atleast_1d.html#torch.functional.atleast_1d) | paddle.functional.atleast_1d | - |
-| 145 | [torch.functional.atleast_2d](https://pytorch.org/docs/stable/generated/torch.functional.atleast_2d.html#torch.functional.atleast_2d) | paddle.functional.atleast_2d | - |
-| 146 | [torch.functional.atleast_3d](https://pytorch.org/docs/stable/generated/torch.functional.atleast_3d.html#torch.functional.atleast_3d) | paddle.functional.atleast_3d | - |
-| 147 | [torch.functional.broadcast_shapes](https://pytorch.org/docs/stable/generated/torch.functional.broadcast_shapes.html#torch.functional.broadcast_shapes) | paddle.functional.broadcast_shapes | - |
-| 148 | [torch.functional.einsum](https://pytorch.org/docs/stable/generated/torch.functional.einsum.html#torch.functional.einsum) | paddle.functional.einsum | - |
-| 149 | [torch.functional.norm](https://pytorch.org/docs/stable/generated/torch.functional.norm.html#torch.functional.norm) | paddle.functional.norm | - |
+| 140 | [torch.nn.Module.to](https://pytorch.org/docs/stable/nn.Module.html#torch.nn.Module.to) | paddle.nn.Module.to | - |
+| 141 | [torch.linalg.vector_norm](https://pytorch.org/docs/stable/linalg.html#torch.linalg.vector_norm) | paddle.linalg.vector_norm | - |
+| 142 | [torch.functional.split](https://pytorch.org/docs/stable/functional.html#torch.functional.split) | paddle.functional.split | - |
+| 143 | [torch.functional.unique_consecutive](https://pytorch.org/docs/stable/functional.html#torch.functional.unique_consecutive) | paddle.functional.unique_consecutive | - |
+| 144 | [torch.functional.atleast_1d](https://pytorch.org/docs/stable/functional.html#torch.functional.atleast_1d) | paddle.functional.atleast_1d | - |
+| 145 | [torch.functional.atleast_2d](https://pytorch.org/docs/stable/functional.html#torch.functional.atleast_2d) | paddle.functional.atleast_2d | - |
+| 146 | [torch.functional.atleast_3d](https://pytorch.org/docs/stable/functional.html#torch.functional.atleast_3d) | paddle.functional.atleast_3d | - |
+| 147 | [torch.functional.broadcast_shapes](https://pytorch.org/docs/stable/functional.html#torch.functional.broadcast_shapes) | paddle.functional.broadcast_shapes | - |
+| 148 | [torch.functional.einsum](https://pytorch.org/docs/stable/functional.html#torch.functional.einsum) | paddle.functional.einsum | - |
+| 149 | [torch.functional.norm](https://pytorch.org/docs/stable/functional.html#torch.functional.norm) | paddle.functional.norm | - |
 | 150 | [torch.multinomial](https://pytorch.org/docs/stable/torch.html#torch.multinomial) | paddle.multinomial | - |
 | 151 | [torch.var](https://pytorch.org/docs/stable/torch.html#torch.var) | paddle.var | - |
 | 152 | [torch.rand_like](https://pytorch.org/docs/stable/torch.html#torch.rand_like) | paddle.rand_like | - |
@@ -219,9 +219,9 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 169 | [torch.broadcast_shapes](https://pytorch.org/docs/stable/torch.html#torch.broadcast_shapes) | paddle.broadcast_shapes | - |
 | 170 | [torch.Tensor.scatter_reduce](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.scatter_reduce) | paddle.Tensor.scatter_reduce | - |
 | 171 | [torch.scatter_reduce](https://pytorch.org/docs/stable/torch.html#torch.scatter_reduce) | paddle.scatter_reduce | - |
-| 172 | [torch.nn.functional.silu](https://pytorch.org/docs/stable/generated/torch.nn.functional.silu.html#torch.nn.functional.silu) | paddle.nn.functional.silu | - |
+| 172 | [torch.nn.functional.silu](https://pytorch.org/docs/stable/nn.functional.html#torch.nn.functional.silu) | paddle.nn.functional.silu | - |
 | 173 | [torch.Tensor.softmax](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.softmax) | paddle.Tensor.softmax | - |
-| 174 | [torch.special.softmax](https://pytorch.org/docs/stable/generated/torch.special.softmax.html#torch.special.softmax) | paddle.special.softmax | - |
+| 174 | [torch.special.softmax](https://pytorch.org/docs/stable/special.html#torch.special.softmax) | paddle.special.softmax | - |
 | 175 | [torch.softmax](https://pytorch.org/docs/stable/torch.html#torch.softmax) | paddle.softmax | - |
 | 176 | [torch.Tensor.clamp](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.clamp) | paddle.Tensor.clamp | - |
 | 177 | [torch.Tensor.itemsize](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.itemsize) | paddle.Tensor.itemsize | - |
@@ -248,8 +248,8 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 198 | [torch.Tensor.square](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.square) | paddle.Tensor.square | - |
 | 199 | [torch.Tensor.tolist](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.tolist) | paddle.Tensor.tolist | - |
 | 200 | [torch.Tensor.zero_](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.zero_) | paddle.Tensor.zero_ | - |
-| 201 | [torch.distributed.get_rank](https://pytorch.org/docs/stable/generated/torch.distributed.get_rank.html#torch.distributed.get_rank) | paddle.distributed.get_rank | - |
-| 202 | [torch.distributed.get_world_size](https://pytorch.org/docs/stable/generated/torch.distributed.get_world_size.html#torch.distributed.get_world_size) | paddle.distributed.get_world_size | - |
+| 201 | [torch.distributed.get_rank](https://pytorch.org/docs/stable/distributed.html#torch.distributed.get_rank) | paddle.distributed.get_rank | - |
+| 202 | [torch.distributed.get_world_size](https://pytorch.org/docs/stable/distributed.html#torch.distributed.get_world_size) | paddle.distributed.get_world_size | - |
 | 203 | [torch.Tensor.shape](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.shape) | paddle.Tensor.shape | - |
 | 204 | [torch.float32](https://pytorch.org/docs/stable/torch.html#torch.float32) | paddle.float32 | - |
 | 205 | [torch.long](https://pytorch.org/docs/stable/torch.html#torch.long) | paddle.long | - |
@@ -381,15 +381,15 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 331 | [torch.Tensor.trunc_](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.trunc_) | paddle.Tensor.trunc_ | - |
 | 332 | [torch.Tensor.values](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.values) | paddle.Tensor.values | - |
 | 333 | [torch.\_\_version\_\_](https://pytorch.org/docs/stable/torch.html#torch.__version__) | paddle.\_\_version\_\_ | - |
-| 334 | [torch.\_\_version\_\_.split](https://pytorch.org/docs/stable/generated/torch.__version__.split.html#torch.__version__.split) | paddle.\_\_version\_\_.split | - |
+| 334 | [torch.\_\_version\_\_.split](https://pytorch.org/docs/stable/__version__.html#torch.__version__.split) | paddle.\_\_version\_\_.split | - |
 | 335 | [torch.diag_embed](https://pytorch.org/docs/stable/torch.html#torch.diag_embed) | paddle.diag_embed | - |
-| 336 | [torch.distributed.ReduceOp.MAX](https://pytorch.org/docs/stable/generated/torch.distributed.ReduceOp.html#torch.distributed.ReduceOp.MAX) | paddle.distributed.ReduceOp.MAX | - |
-| 337 | [torch.distributed.ReduceOp.MIN](https://pytorch.org/docs/stable/generated/torch.distributed.ReduceOp.html#torch.distributed.ReduceOp.MIN) | paddle.distributed.ReduceOp.MIN | - |
-| 338 | [torch.distributed.ReduceOp.SUM](https://pytorch.org/docs/stable/generated/torch.distributed.ReduceOp.html#torch.distributed.ReduceOp.SUM) | paddle.distributed.ReduceOp.SUM | - |
-| 339 | [torch.distributed.batch_isend_irecv](https://pytorch.org/docs/stable/generated/torch.distributed.batch_isend_irecv.html#torch.distributed.batch_isend_irecv) | paddle.distributed.batch_isend_irecv | - |
-| 340 | [torch.distributed.get_backend](https://pytorch.org/docs/stable/generated/torch.distributed.get_backend.html#torch.distributed.get_backend) | paddle.distributed.get_backend | - |
-| 341 | [torch.distributed.is_available](https://pytorch.org/docs/stable/generated/torch.distributed.is_available.html#torch.distributed.is_available) | paddle.distributed.is_available | - |
-| 342 | [torch.distributed.is_initialized](https://pytorch.org/docs/stable/generated/torch.distributed.is_initialized.html#torch.distributed.is_initialized) | paddle.distributed.is_initialized | - |
+| 336 | [torch.distributed.ReduceOp.MAX](https://pytorch.org/docs/stable/generated/torch.distributed.ReduceOp.MAX.html#torch.distributed.ReduceOp.MAX) | paddle.distributed.ReduceOp.MAX | - |
+| 337 | [torch.distributed.ReduceOp.MIN](https://pytorch.org/docs/stable/generated/torch.distributed.ReduceOp.MIN.html#torch.distributed.ReduceOp.MIN) | paddle.distributed.ReduceOp.MIN | - |
+| 338 | [torch.distributed.ReduceOp.SUM](https://pytorch.org/docs/stable/generated/torch.distributed.ReduceOp.SUM.html#torch.distributed.ReduceOp.SUM) | paddle.distributed.ReduceOp.SUM | - |
+| 339 | [torch.distributed.batch_isend_irecv](https://pytorch.org/docs/stable/distributed.html#torch.distributed.batch_isend_irecv) | paddle.distributed.batch_isend_irecv | - |
+| 340 | [torch.distributed.get_backend](https://pytorch.org/docs/stable/distributed.html#torch.distributed.get_backend) | paddle.distributed.get_backend | - |
+| 341 | [torch.distributed.is_available](https://pytorch.org/docs/stable/distributed.html#torch.distributed.is_available) | paddle.distributed.is_available | - |
+| 342 | [torch.distributed.is_initialized](https://pytorch.org/docs/stable/distributed.html#torch.distributed.is_initialized) | paddle.distributed.is_initialized | - |
 | 343 | [torch.e](https://pytorch.org/docs/stable/torch.html#torch.e) | paddle.e | - |
 | 344 | [torch.enable_grad](https://pytorch.org/docs/stable/torch.html#torch.enable_grad) | paddle.enable_grad | - |
 | 345 | [torch.inf](https://pytorch.org/docs/stable/torch.html#torch.inf) | paddle.inf | - |
@@ -404,13 +404,13 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 354 | [torch.nn.Tanhshrink](https://pytorch.org/docs/stable/generated/torch.nn.Tanhshrink.html#torch.nn.Tanhshrink) | paddle.nn.Tanhshrink | - |
 | 355 | [torch.nn.TransformerDecoder](https://pytorch.org/docs/stable/generated/torch.nn.TransformerDecoder.html#torch.nn.TransformerDecoder) | paddle.nn.TransformerDecoder | - |
 | 356 | [torch.nn.TripletMarginWithDistanceLoss](https://pytorch.org/docs/stable/generated/torch.nn.TripletMarginWithDistanceLoss.html#torch.nn.TripletMarginWithDistanceLoss) | paddle.nn.TripletMarginWithDistanceLoss | - |
-| 357 | [torch.nn.utils.parameters_to_vector](https://pytorch.org/docs/stable/generated/torch.nn.utils.parameters_to_vector.html#torch.nn.utils.parameters_to_vector) | paddle.nn.utils.parameters_to_vector | - |
-| 358 | [torch.nn.utils.vector_to_parameters](https://pytorch.org/docs/stable/generated/torch.nn.utils.vector_to_parameters.html#torch.nn.utils.vector_to_parameters) | paddle.nn.utils.vector_to_parameters | - |
+| 357 | [torch.nn.utils.parameters_to_vector](https://pytorch.org/docs/stable/nn.utils.html#torch.nn.utils.parameters_to_vector) | paddle.nn.utils.parameters_to_vector | - |
+| 358 | [torch.nn.utils.vector_to_parameters](https://pytorch.org/docs/stable/nn.utils.html#torch.nn.utils.vector_to_parameters) | paddle.nn.utils.vector_to_parameters | - |
 | 359 | [torch.pi](https://pytorch.org/docs/stable/torch.html#torch.pi) | paddle.pi | - |
 | 360 | [torch.set_default_dtype](https://pytorch.org/docs/stable/torch.html#torch.set_default_dtype) | paddle.set_default_dtype | - |
 | 361 | [torch.t](https://pytorch.org/docs/stable/torch.html#torch.t) | paddle.t | - |
 | 362 | [torch.utils.cpp_extension.BuildExtension](https://pytorch.org/docs/stable/generated/torch.utils.cpp_extension.BuildExtension.html#torch.utils.cpp_extension.BuildExtension) | paddle.utils.cpp_extension.BuildExtension | - |
-| 363 | [torch.utils.cpp_extension.BuildExtension.with_options](https://pytorch.org/docs/stable/generated/torch.utils.cpp_extension.BuildExtension.html#torch.utils.cpp_extension.BuildExtension.with_options) | paddle.utils.cpp_extension.BuildExtension.with_options | - |
+| 363 | [torch.utils.cpp_extension.BuildExtension.with_options](https://pytorch.org/docs/stable/utils.cpp_extension.BuildExtension.html#torch.utils.cpp_extension.BuildExtension.with_options) | paddle.utils.cpp_extension.BuildExtension.with_options | - |
 | 364 | [torch.Tensor.element_size](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.element_size) | paddle.Tensor.element_size | - |
 | 365 | [torch.Tensor.view_as](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.view_as) | paddle.Tensor.view_as | - |
 | 366 | [torch.dtype](https://pytorch.org/docs/stable/torch.html#torch.dtype) | paddle.dtype | - |
@@ -429,7 +429,7 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 379 | [torch.Tensor.\_\_rtruediv\_\_](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.__rtruediv__) | paddle.Tensor.\_\_rtruediv\_\_ | - |
 | 380 | [torch.Tensor.\_\_setitem\_\_](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.__setitem__) | paddle.Tensor.\_\_setitem\_\_ | - |
 | 381 | [torch.matmul](https://pytorch.org/docs/stable/torch.html#torch.matmul) | paddle.matmul | - |
-| 382 | [torch.linalg.matmul](https://pytorch.org/docs/stable/generated/torch.linalg.matmul.html#torch.linalg.matmul) | paddle.linalg.matmul | - |
+| 382 | [torch.linalg.matmul](https://pytorch.org/docs/stable/linalg.html#torch.linalg.matmul) | paddle.linalg.matmul | - |
 | 383 | [torch.Tensor.multiply](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.multiply) | paddle.Tensor.multiply | - |
 | 384 | [torch.Tensor.multiply_](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.multiply_) | paddle.Tensor.multiply_ | - |
 | 385 | [torch.Tensor.matmul](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.matmul) | paddle.Tensor.matmul | - |
@@ -439,7 +439,7 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 389 | [torch.Tensor.remainder](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.remainder) | paddle.Tensor.remainder | - |
 | 390 | [torch.remainder](https://pytorch.org/docs/stable/torch.html#torch.remainder) | paddle.remainder | - |
 | 391 | [torch.broadcast_to](https://pytorch.org/docs/stable/torch.html#torch.broadcast_to) | paddle.broadcast_to | - |
-| 392 | [torch.nn.functional.embedding](https://pytorch.org/docs/stable/generated/torch.nn.functional.embedding.html#torch.nn.functional.embedding) | paddle.nn.functional.embedding | - |
+| 392 | [torch.nn.functional.embedding](https://pytorch.org/docs/stable/nn.functional.html#torch.nn.functional.embedding) | paddle.nn.functional.embedding | - |
 | 393 | [torch.no_grad](https://pytorch.org/docs/stable/torch.html#torch.no_grad) | paddle.no_grad | - |
 | 394 | [torch.reshape](https://pytorch.org/docs/stable/torch.html#torch.reshape) | paddle.reshape | - |
 | 395 | [torch.Tensor.bitwise_or_](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.bitwise_or_) | paddle.Tensor.bitwise_or_ | - |
@@ -472,7 +472,7 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 422 | [torch.chunk](https://pytorch.org/docs/stable/torch.html#torch.chunk) | paddle.chunk | - |
 | 423 | [torch.Tensor.chunk](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.chunk) | paddle.Tensor.chunk | - |
 | 424 | [torch.any](https://pytorch.org/docs/stable/torch.html#torch.any) | paddle.any | - |
-| 425 | [torch.nn.functional.one_hot](https://pytorch.org/docs/stable/generated/torch.nn.functional.one_hot.html#torch.nn.functional.one_hot) | paddle.nn.functional.one_hot | - |
+| 425 | [torch.nn.functional.one_hot](https://pytorch.org/docs/stable/nn.functional.html#torch.nn.functional.one_hot) | paddle.nn.functional.one_hot | - |
 | 426 | [torch.unbind](https://pytorch.org/docs/stable/torch.html#torch.unbind) | paddle.unbind | - |
 | 427 | [torch.Tensor.unbind](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.unbind) | paddle.Tensor.unbind | - |
 | 428 | [torch.is_floating_point](https://pytorch.org/docs/stable/torch.html#torch.is_floating_point) | paddle.is_floating_point | - |
@@ -489,7 +489,7 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 439 | [torch.Tensor.all](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.all) | paddle.Tensor.all | - |
 | 440 | [torch.Tensor.any](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.any) | paddle.Tensor.any | - |
 | 441 | [torch.tensor_split](https://pytorch.org/docs/stable/torch.html#torch.tensor_split) | paddle.tensor_split | - |
-| 442 | [torch.nn.functional.gelu](https://pytorch.org/docs/stable/generated/torch.nn.functional.gelu.html#torch.nn.functional.gelu) | paddle.nn.functional.gelu | - |
+| 442 | [torch.nn.functional.gelu](https://pytorch.org/docs/stable/nn.functional.html#torch.nn.functional.gelu) | paddle.nn.functional.gelu | - |
 | 443 | [torch.layer_norm](https://pytorch.org/docs/stable/torch.html#torch.layer_norm) | paddle.layer_norm | - |
 | 444 | [torch.logical_not](https://pytorch.org/docs/stable/torch.html#torch.logical_not) | paddle.logical_not | - |
 | 445 | [torch.Tensor.logical_not](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.logical_not) | paddle.Tensor.logical_not | - |
@@ -503,9 +503,9 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 453 | [torch.Tensor.index_select](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.index_select) | paddle.Tensor.index_select | - |
 | 454 | [torch.dot](https://pytorch.org/docs/stable/torch.html#torch.dot) | paddle.dot | - |
 | 455 | [torch.Tensor.dot](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.dot) | paddle.Tensor.dot | - |
-| 456 | [torch.nn.functional.conv1d](https://pytorch.org/docs/stable/generated/torch.nn.functional.conv1d.html#torch.nn.functional.conv1d) | paddle.nn.functional.conv1d | - |
-| 457 | [torch.nn.functional.conv2d](https://pytorch.org/docs/stable/generated/torch.nn.functional.conv2d.html#torch.nn.functional.conv2d) | paddle.nn.functional.conv2d | - |
-| 458 | [torch.nn.functional.conv3d](https://pytorch.org/docs/stable/generated/torch.nn.functional.conv3d.html#torch.nn.functional.conv3d) | paddle.nn.functional.conv3d | - |
+| 456 | [torch.nn.functional.conv1d](https://pytorch.org/docs/stable/nn.functional.html#torch.nn.functional.conv1d) | paddle.nn.functional.conv1d | - |
+| 457 | [torch.nn.functional.conv2d](https://pytorch.org/docs/stable/nn.functional.html#torch.nn.functional.conv2d) | paddle.nn.functional.conv2d | - |
+| 458 | [torch.nn.functional.conv3d](https://pytorch.org/docs/stable/nn.functional.html#torch.nn.functional.conv3d) | paddle.nn.functional.conv3d | - |
 | 459 | [torch.conv1d](https://pytorch.org/docs/stable/torch.html#torch.conv1d) | paddle.conv1d | - |
 | 460 | [torch.conv2d](https://pytorch.org/docs/stable/torch.html#torch.conv2d) | paddle.conv2d | - |
 | 461 | [torch.conv3d](https://pytorch.org/docs/stable/torch.html#torch.conv3d) | paddle.conv3d | - |
@@ -534,7 +534,7 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 484 | [torch.Tensor.is_contiguous](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.is_contiguous) | paddle.Tensor.is_contiguous | - |
 | 485 | [torch.utils.cpp_extension.CUDA_HOME](https://pytorch.org/docs/stable/generated/torch.utils.cpp_extension.CUDA_HOME.html#torch.utils.cpp_extension.CUDA_HOME) | paddle.utils.cpp_extension.CUDA_HOME | - |
 | 486 | [torch.Tensor.is_coalesced](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.is_coalesced) | paddle.Tensor.is_coalesced | - |
-| 487 | [torch.torch.int32](https://pytorch.org/docs/stable/generated/torch.torch.int32.html#torch.torch.int32) | paddle.paddle.int32 | - |
+| 487 | [torch.torch.int32](https://pytorch.org/docs/stable/torch.html#torch.torch.int32) | paddle.paddle.int32 | - |
 | 488 | [torch.transpose](https://pytorch.org/docs/stable/torch.html#torch.transpose) | paddle.transpose | - |
 | 489 | [torch.Tensor.transpose](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.transpose) | paddle.Tensor.transpose | - |
 | 490 | [torch.unsqueeze](https://pytorch.org/docs/stable/torch.html#torch.unsqueeze) | paddle.unsqueeze | - |
@@ -542,7 +542,7 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 492 | [torch.sigmoid](https://pytorch.org/docs/stable/torch.html#torch.sigmoid) | paddle.sigmoid | - |
 | 493 | [torch.Tensor.topk](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.topk) | paddle.Tensor.topk | - |
 | 494 | [torch.outer](https://pytorch.org/docs/stable/torch.html#torch.outer) | paddle.outer | - |
-| 495 | [torch.nn.functional.sigmoid](https://pytorch.org/docs/stable/generated/torch.nn.functional.sigmoid.html#torch.nn.functional.sigmoid) | paddle.nn.functional.sigmoid | - |
+| 495 | [torch.nn.functional.sigmoid](https://pytorch.org/docs/stable/nn.functional.html#torch.nn.functional.sigmoid) | paddle.nn.functional.sigmoid | - |
 | 496 | [torch.Tensor.requires_grad](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.requires_grad) | paddle.Tensor.requires_grad | - |
 | 497 | [torch.Tensor.data](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.data) | paddle.Tensor.data | - |
 | 498 | [torch.Tensor.cpu](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.cpu) | paddle.Tensor.cpu | - |
@@ -560,10 +560,10 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 510 | [torch.Tensor.\_\_reduce\_ex\_\_](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.__reduce_ex__) | paddle.Tensor.\_\_reduce\_ex\_\_ | - |
 | 511 | [torch.from_numpy](https://pytorch.org/docs/stable/torch.html#torch.from_numpy) | paddle.from_numpy | - |
 | 512 | [torch.greater](https://pytorch.org/docs/stable/torch.html#torch.greater) | paddle.greater | - |
-| 513 | [torch.nn.functional.layer_norm](https://pytorch.org/docs/stable/generated/torch.nn.functional.layer_norm.html#torch.nn.functional.layer_norm) | paddle.nn.functional.layer_norm | - |
-| 514 | [torch.nn.attention.sdpa_kernel](https://pytorch.org/docs/stable/generated/torch.nn.attention.sdpa_kernel.html#torch.nn.attention.sdpa_kernel) | paddle.nn.attention.sdpa_kernel | - |
+| 513 | [torch.nn.functional.layer_norm](https://pytorch.org/docs/stable/nn.functional.html#torch.nn.functional.layer_norm) | paddle.nn.functional.layer_norm | - |
+| 514 | [torch.nn.attention.sdpa_kernel](https://pytorch.org/docs/stable/nn.attention.html#torch.nn.attention.sdpa_kernel) | paddle.nn.attention.sdpa_kernel | - |
 | 515 | [torch.nn.attention.SDPBackend](https://pytorch.org/docs/stable/generated/torch.nn.attention.SDPBackend.html#torch.nn.attention.SDPBackend) | paddle.nn.attention.SDPBackend | - |
-| 516 | [torch.nn.attention._cur_sdpa_kernel_backends](https://pytorch.org/docs/stable/generated/torch.nn.attention._cur_sdpa_kernel_backends.html#torch.nn.attention._cur_sdpa_kernel_backends) | paddle.nn.attention._cur_sdpa_kernel_backends | - |
+| 516 | [torch.nn.attention._cur_sdpa_kernel_backends](https://pytorch.org/docs/stable/nn.attention.html#torch.nn.attention._cur_sdpa_kernel_backends) | paddle.nn.attention._cur_sdpa_kernel_backends | - |
 | 517 | [torch.nn.SiLU](https://pytorch.org/docs/stable/generated/torch.nn.SiLU.html#torch.nn.SiLU) | paddle.nn.SiLU | - |
 | 518 | [torch.randperm](https://pytorch.org/docs/stable/torch.html#torch.randperm) | paddle.randperm | - |
 | 519 | [torch.Tensor.ge](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.ge) | paddle.Tensor.ge | - |
@@ -587,22 +587,22 @@ paddle.nn.Softplus(beta=0.5, threshold=15)
 | 537 | [torch.Tensor.scatter](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.scatter) | paddle.Tensor.scatter | - |
 | 538 | [torch.Tensor.scatter_](https://pytorch.org/docs/stable/tensors.html#torch.Tensor.scatter_) | paddle.Tensor.scatter_ | - |
 | 539 | [torch.scatter](https://pytorch.org/docs/stable/torch.html#torch.scatter) | paddle.scatter | - |
-| 540 | [torch.cuda.get_device_properties](https://pytorch.org/docs/stable/generated/torch.cuda.get_device_properties.html#torch.cuda.get_device_properties) | paddle.cuda.get_device_properties | - |
-| 541 | [torch.cuda.get_rng_state](https://pytorch.org/docs/stable/generated/torch.cuda.get_rng_state.html#torch.cuda.get_rng_state) | paddle.cuda.get_rng_state | - |
-| 542 | [torch.cuda.is_current_stream_capturing](https://pytorch.org/docs/stable/generated/torch.cuda.is_current_stream_capturing.html#torch.cuda.is_current_stream_capturing) | paddle.cuda.is_current_stream_capturing | - |
-| 543 | [torch.cuda.manual_seed_all](https://pytorch.org/docs/stable/generated/torch.cuda.manual_seed_all.html#torch.cuda.manual_seed_all) | paddle.cuda.manual_seed_all | - |
-| 544 | [torch.cuda.set_rng_state](https://pytorch.org/docs/stable/generated/torch.cuda.set_rng_state.html#torch.cuda.set_rng_state) | paddle.cuda.set_rng_state | - |
+| 540 | [torch.cuda.get_device_properties](https://pytorch.org/docs/stable/cuda.html#torch.cuda.get_device_properties) | paddle.cuda.get_device_properties | - |
+| 541 | [torch.cuda.get_rng_state](https://pytorch.org/docs/stable/cuda.html#torch.cuda.get_rng_state) | paddle.cuda.get_rng_state | - |
+| 542 | [torch.cuda.is_current_stream_capturing](https://pytorch.org/docs/stable/cuda.html#torch.cuda.is_current_stream_capturing) | paddle.cuda.is_current_stream_capturing | - |
+| 543 | [torch.cuda.manual_seed_all](https://pytorch.org/docs/stable/cuda.html#torch.cuda.manual_seed_all) | paddle.cuda.manual_seed_all | - |
+| 544 | [torch.cuda.set_rng_state](https://pytorch.org/docs/stable/cuda.html#torch.cuda.set_rng_state) | paddle.cuda.set_rng_state | - |
 | 545 | [torch.get_device_module](https://pytorch.org/docs/stable/torch.html#torch.get_device_module) | paddle.get_device_module | - |
-| 546 | [torch.cuda.is_available](https://pytorch.org/docs/stable/generated/torch.cuda.is_available.html#torch.cuda.is_available) | paddle.cuda.is_available | - |
+| 546 | [torch.cuda.is_available](https://pytorch.org/docs/stable/cuda.html#torch.cuda.is_available) | paddle.cuda.is_available | - |
 | 547 | [torch.device](https://pytorch.org/docs/stable/torch.html#torch.device) | paddle.device | - |
-| 548 | [torch.cuda.get_device_capability](https://pytorch.org/docs/stable/generated/torch.cuda.get_device_capability.html#torch.cuda.get_device_capability) | paddle.cuda.get_device_capability | - |
-| 549 | [torch.cuda.current_device](https://pytorch.org/docs/stable/generated/torch.cuda.current_device.html#torch.cuda.current_device) | paddle.cuda.current_device | - |
-| 550 | [torch.cuda.device_count](https://pytorch.org/docs/stable/generated/torch.cuda.device_count.html#torch.cuda.device_count) | paddle.cuda.device_count | - |
-| 551 | [torch.cuda.empty_cache](https://pytorch.org/docs/stable/generated/torch.cuda.empty_cache.html#torch.cuda.empty_cache) | paddle.cuda.empty_cache | - |
-| 552 | [torch.cuda.memory_allocated](https://pytorch.org/docs/stable/generated/torch.cuda.memory_allocated.html#torch.cuda.memory_allocated) | paddle.cuda.memory_allocated | - |
-| 553 | [torch.cuda.memory_reserved](https://pytorch.org/docs/stable/generated/torch.cuda.memory_reserved.html#torch.cuda.memory_reserved) | paddle.cuda.memory_reserved | - |
-| 554 | [torch.cuda.set_device](https://pytorch.org/docs/stable/generated/torch.cuda.set_device.html#torch.cuda.set_device) | paddle.cuda.set_device | - |
-| 555 | [torch.cuda.current_stream](https://pytorch.org/docs/stable/generated/torch.cuda.current_stream.html#torch.cuda.current_stream) | paddle.cuda.current_stream | - |
+| 548 | [torch.cuda.get_device_capability](https://pytorch.org/docs/stable/cuda.html#torch.cuda.get_device_capability) | paddle.cuda.get_device_capability | - |
+| 549 | [torch.cuda.current_device](https://pytorch.org/docs/stable/cuda.html#torch.cuda.current_device) | paddle.cuda.current_device | - |
+| 550 | [torch.cuda.device_count](https://pytorch.org/docs/stable/cuda.html#torch.cuda.device_count) | paddle.cuda.device_count | - |
+| 551 | [torch.cuda.empty_cache](https://pytorch.org/docs/stable/cuda.html#torch.cuda.empty_cache) | paddle.cuda.empty_cache | - |
+| 552 | [torch.cuda.memory_allocated](https://pytorch.org/docs/stable/cuda.html#torch.cuda.memory_allocated) | paddle.cuda.memory_allocated | - |
+| 553 | [torch.cuda.memory_reserved](https://pytorch.org/docs/stable/cuda.html#torch.cuda.memory_reserved) | paddle.cuda.memory_reserved | - |
+| 554 | [torch.cuda.set_device](https://pytorch.org/docs/stable/cuda.html#torch.cuda.set_device) | paddle.cuda.set_device | - |
+| 555 | [torch.cuda.current_stream](https://pytorch.org/docs/stable/cuda.html#torch.cuda.current_stream) | paddle.cuda.current_stream | - |
 
 ### 2. 仅 API 调用方式不一致
 **分类简介**
diff --git a/docs/guides/model_convert/convert_from_pytorch/tools/.gitignore b/docs/guides/model_convert/convert_from_pytorch/tools/.gitignore
index 0c071ca6492..ce0df2c5626 100644
--- a/docs/guides/model_convert/convert_from_pytorch/tools/.gitignore
+++ b/docs/guides/model_convert/convert_from_pytorch/tools/.gitignore
@@ -22,3 +22,4 @@ alias_refer_failed.log
 toc_warnings.txt
 unique_warnings.txt
 link_warnings.txt
+url_warnings.txt
diff --git a/docs/guides/model_convert/convert_from_pytorch/tools/generate_pytorch_api_mapping.py b/docs/guides/model_convert/convert_from_pytorch/tools/generate_pytorch_api_mapping.py
index a13d3b38452..78b5d68f36f 100644
--- a/docs/guides/model_convert/convert_from_pytorch/tools/generate_pytorch_api_mapping.py
+++ b/docs/guides/model_convert/convert_from_pytorch/tools/generate_pytorch_api_mapping.py
@@ -11,7 +11,7 @@ def get_pytorch_url(torch_api: str) -> str:
     根据PyTorch API名称生成其官方文档URL
 
     Args:
-        api_name: PyTorch API的全限定名（如'torch.add', 'torch.nn.Linear', 'torch.Tensor.add'）
+        torch_api: PyTorch API的全限定名（如'torch.add', 'torch.nn.Linear', 'torch.Tensor.add'）
 
     Returns:
         对应API的官方文档URL字符串
@@ -19,45 +19,56 @@ def get_pytorch_url(torch_api: str) -> str:
     Rules:
     1. Tensor相关API指向tensors.html
     2. 顶层函数（torch.xxx）指向torch.html
-    3. 类/独立函数指向generated/[name].html
-    4. 类方法指向父类页面#锚点
-    5. 特殊处理torchvision等子库的URL结构
+    3. 模块级函数/常量指向模块名.html（如nn.init.html）
+    4. 类/独立函数指向generated/[name].html
+    5. 类方法指向父类页面#锚点
+    6. 特殊处理torchvision等子库的URL结构
     """
     base_url = "https://pytorch.org/docs/stable/"
     api_name = torch_api.replace(r"\_", "_")
-    # 1. 处理Tensor相关API（特殊页面）
+
+    # 特殊子库处理（torchvision）
+    if api_name.startswith("torchvision."):
+        vision_base = "https://pytorch.org/vision/stable/"
+        if api_name == "torchvision.models":
+            return f"{vision_base}models.html"
+        return f"{vision_base}generated/{api_name}.html#{api_name}"
+
+    # 1. 处理Tensor相关API
     if api_name.startswith("torch.Tensor") or api_name == "torch.Tensor":
         return f"{base_url}tensors.html#{api_name}"
 
-    parts = api_name.split(".")
-
     # 2. 处理顶层函数（无子模块）
-    if len(parts) == 2 and parts[0] == "torch":
+    if len(api_name.split(".")) == 2 and api_name.startswith("torch."):
         return f"{base_url}torch.html#{api_name}"
 
-    # 3. 识别类名首字母大写的部分（PyTorch命名规范）
-    base_parts = []
-    found_class = False
-    for part in parts:
-        if part and part[0].isupper():  # 检测类名（首字母大写）
-            found_class = True
-        base_parts.append(part)
-        if found_class:
-            break  # 定位到最近的类名
-
-    # 4. 根据不同情况生成URL
-    if found_class:
-        base_name = ".".join(base_parts)
-        # 处理torchvision等子库
-        if api_name.startswith("torchvision."):
-            return f"https://pytorch.org/vision/stable/generated/{base_name}.html#{api_name}"
-        return f"{base_url}generated/{base_name}.html#{api_name}"
-    else:
-        # 5. 处理独立函数
-        if api_name.startswith("torchvision."):
-            return f"https://pytorch.org/vision/stable/generated/{api_name}.html#{api_name}"
+    # 分割API路径
+    parts = api_name.split(".")
+    module_path = ".".join(parts[:-1])  # 模块路径
+    item_name = parts[-1]  # 最后一项名称
+
+    # 3. 处理模块级函数/常量
+    if parts[0] == "torch" and not parts[-1][0].isupper():
+        # 特殊模块映射（基于官方文档结构）
+        module_map = {
+            "torch.nn.init": "nn.init",
+            "torch.nn.functional": "nn.functional",
+            "torch.cuda.amp": "amp",
+            "torch.distributions": "distributions",
+        }
+        module_key = ".".join(parts[:-1])
+        module_slug = module_map.get(
+            module_key, module_key.replace("torch.", "")
+        )
+        return f"{base_url}{module_slug}.html#{api_name}"
+
+    # 4. 处理类/独立函数
+    if parts[-1][0].isupper() or len(parts) == 1:
         return f"{base_url}generated/{api_name}.html#{api_name}"
 
+    # 5. 默认处理（类方法）
+    return f"{base_url}generated/{module_path}.html#{api_name}"
+
 
 def escape_underscores_in_api(api_name):
     r"""
diff --git a/docs/guides/model_convert/convert_from_pytorch/tools/validate_api_difference.py b/docs/guides/model_convert/convert_from_pytorch/tools/validate_api_difference.py
index 218b6fb5af4..de4418471d8 100644
--- a/docs/guides/model_convert/convert_from_pytorch/tools/validate_api_difference.py
+++ b/docs/guides/model_convert/convert_from_pytorch/tools/validate_api_difference.py
@@ -1,11 +1,19 @@
 import argparse
+import concurrent.futures
 import os
 import re
 from collections import defaultdict
+from urllib.parse import urlparse
+
+import requests
+from tqdm import tqdm  # 用于显示进度条
 
 # 默认文件路径
 DEFAULT_FILE_PATH = "/workspace/paddleDocs/docs/guides/model_convert/convert_from_pytorch/pytorch_api_mapping_cn.md"
 
+# 用户代理头，模拟浏览器访问
+USER_AGENT = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36"
+
 
 def parse_toc(lines):
     """
@@ -305,6 +313,142 @@ def extract_all_urls(categories):
     return urls_with_context
 
 
+def is_valid_url(url):
+    """
+    检查URL是否有效
+    """
+    try:
+        result = urlparse(url)
+        return all([result.scheme, result.netloc])
+    except ValueError:
+        return False
+
+
+def check_url_exists(url_info):
+    """
+    检查URL是否存在（是否返回404）
+    返回状态码和错误信息
+    """
+    url = url_info["url"]
+
+    # 检查URL是否有效
+    if not is_valid_url(url):
+        return {
+            "status": "invalid",
+            "status_code": None,
+            "error": "无效的URL格式",
+            "url_info": url_info,
+        }
+
+    # 设置请求头
+    headers = {"User-Agent": USER_AGENT}
+
+    try:
+        # 发送HEAD请求（更快，节省带宽）
+        response = requests.head(
+            url, headers=headers, timeout=10, allow_redirects=True
+        )
+        status_code = response.status_code
+
+        # 如果HEAD请求不被支持（405错误），则尝试GET请求
+        if status_code == 405:
+            response = requests.get(
+                url, headers=headers, timeout=10, allow_redirects=True
+            )
+            status_code = response.status_code
+
+        # 根据状态码判断URL是否存在
+        if status_code == 200:
+            return {
+                "status": "ok",
+                "status_code": status_code,
+                "error": None,
+                "url_info": url_info,
+            }
+        elif status_code == 404:
+            return {
+                "status": "not_found",
+                "status_code": status_code,
+                "error": "页面不存在",
+                "url_info": url_info,
+            }
+        elif 400 <= status_code < 500:
+            return {
+                "status": "client_error",
+                "status_code": status_code,
+                "error": "客户端错误",
+                "url_info": url_info,
+            }
+        elif 500 <= status_code < 600:
+            return {
+                "status": "server_error",
+                "status_code": status_code,
+                "error": "服务器错误",
+                "url_info": url_info,
+            }
+        else:
+            return {
+                "status": "other_error",
+                "status_code": status_code,
+                "error": f"HTTP状态码: {status_code}",
+                "url_info": url_info,
+            }
+
+    except requests.exceptions.RequestException as e:
+        return {
+            "status": "request_error",
+            "status_code": None,
+            "error": str(e),
+            "url_info": url_info,
+        }
+
+
+def check_urls_exist(urls_with_context, max_workers=10):
+    """
+    使用多线程检查所有URL是否存在（是否返回404）
+    返回警告列表
+    """
+    warnings = []
+    total_urls = len(urls_with_context)
+
+    print(
+        f"开始使用多线程检查 {total_urls} 个URL的存在性（线程数：{max_workers}）..."
+    )
+
+    with (
+        tqdm(total=total_urls, desc="检查URL") as pbar,
+        concurrent.futures.ThreadPoolExecutor(
+            max_workers=max_workers
+        ) as executor,
+    ):
+        # 提交所有任务
+        future_to_url = {
+            executor.submit(check_url_exists, url_info): url_info
+            for url_info in urls_with_context
+        }
+
+        # 处理完成的任务
+        for future in concurrent.futures.as_completed(future_to_url):
+            result = future.result()
+
+            # 更新进度条
+            pbar.update(1)
+
+            # 如果不是200状态码，则添加到警告列表
+            if result["status"] != "ok":
+                warning_msg = (
+                    f"URL访问错误: {result['error']}\n"
+                    f"URL: {result['url_info']['url']}\n"
+                    f"上下文: {result['url_info']['context']}\n"
+                )
+                if result["status_code"]:
+                    warning_msg += f"状态码: {result['status_code']}\n"
+                warnings.append(warning_msg)
+
+    print(f"URL检查完成，发现 {len(warnings)} 个问题")
+    return warnings
+
+
 def main():
     parser = argparse.ArgumentParser(description="Markdown 文件校验工具")
     parser.add_argument(
@@ -313,6 +457,12 @@ def main():
         help="要校验的 Markdown 文件路径",
         default=DEFAULT_FILE_PATH,
     )
+    parser.add_argument(
+        "--skip-url-check",
+        action="store_true",
+        help="跳过URL存在性检查（避免网络请求）",
+    )
+
     args = parser.parse_args()
 
     current_script_path = os.path.abspath(__file__)
@@ -354,12 +504,12 @@ def main():
     print(f"找到 {len(toc)} 个目录条目")
     print(f"找到 {len(categories)} 个类别")
 
-    # 执行三个校验
+    # 执行三个基本校验
     toc_warnings = check_toc_consistency(toc, categories)
     unique_warnings = check_unique_torch_apis(categories)
     link_warnings = check_links_exist(categories)
 
-    # 输出警告到文件（保存在 tools_dir 路径下）
+    # 输出警告到文件
     if toc_warnings:
         output_path = os.path.join(tools_dir, "toc_warnings.txt")
         with open(output_path, "w", encoding="utf-8") as f:
@@ -381,8 +531,34 @@ def main():
             f.writelines(warning + "\n" for warning in link_warnings)
         print(f"生成 {output_path}，包含 {len(link_warnings)} 个警告")
 
+    # 执行URL存在性检查（除非明确跳过）
+    url_warnings = []
+    if not args.skip_url_check:
+        # 提取所有URL
+        urls_with_context = extract_all_urls(categories)
+        print(f"找到 {len(urls_with_context)} 个URL需要检查")
+
+        # 检查URL存在性（使用多线程）
+        url_warnings = check_urls_exist(
+            urls_with_context, max(os.cpu_count() - 4, 1)
+        )
+
+        if url_warnings:
+            output_path = os.path.join(tools_dir, "url_warnings.txt")
+            with open(output_path, "w", encoding="utf-8") as f:
+                f.write("URL存在性校验警告:\n")
+                f.writelines(warning + "\n" for warning in url_warnings)
+            print(f"生成 {output_path}，包含 {len(url_warnings)} 个警告")
+    else:
+        print("跳过URL存在性检查")
+
     # 如果没有警告，输出成功信息
-    if not toc_warnings and not unique_warnings and not link_warnings:
+    if (
+        not toc_warnings
+        and not unique_warnings
+        and not link_warnings
+        and not url_warnings
+    ):
         print("所有校验通过，没有发现警告!")