[NPU] [DOC] fix typos, heading levels and terminology in NPU docs (#40402)

2026-09-20 15:15:58 +08:00
parent f4c256354c
commit 5c69e32abe
6 changed files with 17 additions and 16 deletions
@@ -267,6 +267,7 @@ This is a common workaround for corporate proxy environments. If it does not res
 If you cannot obtain the CA certificate, download datasets manually as shown in [Download Dataset Error](#download-dataset-error) below.

 ### EvalScope Request Retry Timeout
+
 If EvalScope keeps retrying requests with errors like:
 ```
 2026-06-22 03:09:03 - evalscope - WARNING: Attempt 4 / 5 failed: ....... Retrying...
@@ -42,13 +42,13 @@ Thread 0x0000fff873f6f120 (most recent call first):
 (SGLangEngine pid=3872176) [ERROR] 2026-04-14-12:14:41 (PID:3874122, Device:0, RankID:-1) ERR00100 PTA call acl api failed
 (SGLangEngine pid=3872176) [Error]: An internal error occurs in the runtime module on the host.
 (SGLangEngine pid=3872176) Rectify the fault based on the error information in the ascend log.
-(SGLangEngine pid=3872176) [PID: 3874122] 2026-04-14-12:14:41.897.548 AclNN_Runtime_Error(EZ9903): aclrtLaunchKerneWithHostArgs failed, return: 507000
+(SGLangEngine pid=3872176) [PID: 3874122] 2026-04-14-12:14:41.897.548 AclNN_Runtime_Error(EZ9903): aclrtLaunchKernelWithHostArgs failed, return: 507000
 (SGLangEngine pid=3872176)  Solution: In this scenario, collect the plog when the fault occurs and locate the fault based on the plog.
 (SGLangEngine pid=3872176)  TraceBack (most recent call last):
 (SGLangEngine pid=3872176)  Check kernel task failed, stream_id=2028, task_id=48, retCode=0x7080005.[FUNC:LaunchKernel][FILE:context.cc][LINE:1585]
 (SGLangEngine pid=3872176)  rtsLaunchKernelWithHostArgs execution failed, reason=kernel type error[FUNC:FuncErrorReason][FILE:error_message_manage.cc][LINE:61]
 (SGLangEngine pid=3872176)  rtsLaunchKernelWithHostArgs failed, runtime result = 507000.[FUNC:ReportCallError][FILE:Log_inner.cpp][LINE:148]
-(SGLangEngine pid=3872176)  aclrtLaunchKerneWWithHostArgs failed, return: 507000
+(SGLangEngine pid=3872176)  aclrtLaunchKernelWithHostArgs failed, return: 507000
 (SGLangEngine pid=3872176)  Launch kernel failed.
 (SGLangEngine pid=3872176)  #### KernelLaunch failed: /home/850b160/cann-8.5.8/opp/built-in/op_impl/ai_core/tbe//kernel/ascend910_93/ops_legacy/fill/Fill_41dadce325bOf810d03359af2a38990b_high_performance.o
 (SGLangEngine pid=3872176)  Kernel Run failed. opType: 18, Fill
@@ -119,7 +119,7 @@ prefill 7.log:3094:RuntimeError: ACL stream synchronize failed, error code:50703
 [ERROR] RUNTIME(164629,):2026-04-14-05:34:12.383.911 [stream.cc:1335]170327 GetError:AIV Kernel happen error, retCode=0x31.
 [ERROR] RUNTIME(164629,):2026-04-14-05:34:12.383.929 [stream.cc:1335]170327 GetError:[AIC_INFO] after execute:args print end
 [ERROR] RUNTIME(164629,):2026-04-14-05:34:12.383.936 stream.cc:13351170327 GetError: DFX INFO1Aicore kernel execute failed, device id=13, stream id=43, report stream id=43, task id=13145, tlip num=56,
- fault kernel_name=alloc_extend_kernel_18, ault kernel info ext=alloc_extend_kernel, program id=141, hash=14069671779787989248.
+ fault kernel_name=alloc_extend_kernel_18, fault kernel info ext=alloc_extend_kernel, program id=141, hash=14069671779787989248.
 [ERROR] RUNTIME(164629,):2026-04-14-05:34:12.383.943 [stream.cc:3549]170327 EnterFailureAbort:stream id=43 enter failure abort.
 [ERROR] RUNTIME(164629,):2026-04-14-05:34:12.383.973 [stars_engine.cc:1427]170327 StarsResumeRtsa:stop scheduling in abort failure mode: stream id=43, sq id=6,sq head=801, task id=13145, taskType=66.
 [ERROR] RUNTIME(164629,):2026-04-14-05:34:12.383.972 [stream.cc:1463]164629 SynchronizeExecutedTask:context is abort, status=0x715005e.
@@ -33,9 +33,9 @@ pip install -e .

 Current SGLang-MindSpore supports Qwen3 and DeepSeek V3/R1 models. This doc uses Qwen3-8B as an example.

-### Offline infer
+### Offline Inference

-Use the following script for offline infer:
+Use the following script for offline inference:

 <CodeGroup>
 ```python Offline Inference
@@ -107,7 +107,7 @@ python3 -m sglang.launch_server \

 ## Troubleshooting

-#### Debug Mode
+### Debug Mode

 Enable sglang debug logging by log-level argument.

@@ -132,7 +132,7 @@ export GLOG_v=0  # DEBUG
 ```
 </CodeGroup>

-#### Explicitly select devices
+### Explicitly select devices

 Use the following environment variable to explicitly select the devices to use.

@@ -142,7 +142,7 @@ export ASCEND_RT_VISIBLE_DEVICES=4,5,6,7  # to set device
 ```
 </CodeGroup>

-#### Some communication environment issues
+### Some communication environment issues

 In case of some environment with special communication environment, users need set some environment variables.

@@ -152,7 +152,7 @@ export MS_ENABLE_LCCL=off # current not support LCCL communication mode in SGLan
 ```
 </CodeGroup>

-#### Some dependencies of protobuf
+### Some dependencies of protobuf

 In case of some environment with special protobuf version, users need set some environment variables to avoid binary version mismatch.

@@ -1,7 +1,7 @@
 ---
 title: "Ring-SP Performance (Wan2.1-T2V-1.3B)"
 metatags:
-    description: "This page reports Ring-SP performance on Ascend NPU with torchnpu==2.10.0."
+    description: "This page reports Ring-SP performance on Ascend NPU with torch_npu==2.10.0."
 ---

 This page reports Ring-SP performance on Ascend NPU with `torch_npu==2.10.0`.
@@ -37,7 +37,7 @@ Current SGLang-MindSpore supports Qwen3 and DeepSeek V3/R1 models. This doc uses

 Use the following script for offline inference:

-```python Offline Infer
+```python Offline Inference
 import sglang as sgl

 # Initialize the engine with MindSpore backend