已合并
[bugfix]cp冗余资料回退 #36645
[bugfix]cp冗余资料回退 #36645
已合并
TrHan创建于 5月25日
1 个文件变更+0-23
Mdocs/api/torch_npu_apis.md+0-23
@@ -32,8 +32,6 @@ PyTorch Ascend Adapter named torch_npu is committed to maintaining compatibility
32 32 
33- **[torch.distributed.optim](#torchdistributedoptim)**33- **[torch.distributed.optim](#torchdistributedoptim)**
34 34 
35-- **[torch.distributed.tensor.experimental](#torchdistributedtensorexperimental)**
36- 
37- **[torch.distributed.tensor.parallel](#torchdistributedtensorparallel)**35- **[torch.distributed.tensor.parallel](#torchdistributedtensorparallel)**
38 36 
39- **[torch.distributed.checkpoint](#torchdistributedcheckpoint)**37- **[torch.distributed.checkpoint](#torchdistributedcheckpoint)**
@@ -11894,27 +11892,6 @@ Just like torch.cuda above, you only need to replace ``torch.cuda.amp.xxx`` with
11894</tbody>11892</tbody>
11895</table>11893</table>
11896 11894 
11897-## torch.distributed.tensor.experimental
11898- 
11899-<a name="table-context-parallel-experimental"></a>
11900-<table><thead align="left"><tr id="row-context-parallel-experimental-head"><th class="cellrowborder" valign="top" width="44.84%" id="mcps-context-parallel-experimental-api"><p id="p-context-parallel-experimental-api"><a name="p-context-parallel-experimental-api"></a><a name="p-context-parallel-experimental-api"></a>PyTorch API</p>
11901-</th>
11902-<th class="cellrowborder" valign="top" width="27.58%" id="mcps-context-parallel-experimental-compat"><p id="p-context-parallel-experimental-compat"><a name="p-context-parallel-experimental-compat"></a><a name="p-context-parallel-experimental-compat"></a>Compatibility</p>
11903-</th>
11904-<th class="cellrowborder" valign="top" width="27.58%" id="mcps-context-parallel-experimental-limit"><p id="p-context-parallel-experimental-limit"><a name="p-context-parallel-experimental-limit"></a><a name="p-context-parallel-experimental-limit"></a>Limitations</p>
11905-</th>
11906-</tr>
11907-</thead>
11908-<tbody><tr id="row-context-parallel-experimental-context-parallel"><td class="cellrowborder" valign="top" width="44.84%" headers="mcps-context-parallel-experimental-api "><p id="p-context-parallel-experimental-context-parallel"><a name="p-context-parallel-experimental-context-parallel"></a><a name="p-context-parallel-experimental-context-parallel"></a>torch.distributed.tensor.experimental.context_parallel</p>
11909-</td>
11910-<td class="cellrowborder" valign="top" width="27.58%" headers="mcps-context-parallel-experimental-compat "><p id="p-context-parallel-experimental-context-parallel-compat"><a name="p-context-parallel-experimental-context-parallel-compat"></a><a name="p-context-parallel-experimental-context-parallel-compat"></a>Y</p>
11911-</td>
11912-<td class="cellrowborder" valign="top" width="27.58%" headers="mcps-context-parallel-experimental-limit "><p id="p-context-parallel-experimental-context-parallel-limit"><a name="p-context-parallel-experimental-context-parallel-limit"></a><a name="p-context-parallel-experimental-context-parallel-limit"></a>Only supports the NPU fused SDPA path. The q/k/v tensors must use BNSD layout. pse, padding_mask, prefix, actual_seq_qlen, actual_seq_kvlen, sink, and arbitrary non-causal attention masks are not supported. Load balancing requires causal attention.</p>
11913-</td>
11914-</tr>
11915-</tbody>
11916-</table>
11917- 
11918## torch.distributed.tensor.parallel11895## torch.distributed.tensor.parallel
11919 11896 
11920<a name="table42392735619"></a>11897<a name="table42392735619"></a>