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[NPU] [DOC] Fix outdated descriptions in the NPU documentation (#22707)

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amote-i
2026-04-14 19:21:15 +08:00
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parent 6da3aba6a5
commit 368cdfbe2f
1 changed files with 3 additions and 3 deletions
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docs/platforms/ascend/ascend_contribution_guide.md
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@@ -73,7 +73,7 @@ Also, do not rely on the "Latency/Output throughput" from this script, as it is
GSM8K is too easy for state-of-the-art models nowadays. Please try your own more challenging accuracy tests. GSM8K is too easy for state-of-the-art models nowadays. Please try your own more challenging accuracy tests.
You can find additional accuracy eval examples in: You can find additional accuracy eval examples in:
- [test_eval_accuracy_large.py](https://github.com/sgl-project/sglang/blob/main/test/registered/eval/test_eval_accuracy_large.py) - [test_eval_accuracy_large.py](https://github.com/sgl-project/sglang/blob/main/test/registered/eval/test_eval_accuracy_large.py)
- [test_moe_eval_accuracy_large.py](https://github.com/sgl-project/sglang/blob/main/test/registered/eval/test_moe_eval_accuracy_large.py) - [test_gpt_oss_1gpu.py](https://github.com/sgl-project/sglang/blob/main/test/registered/core/test_gpt_oss_1gpu.py)
## Benchmark the speed ## Benchmark the speed
Refer to [Benchmark and Profiling](../../developer_guide/benchmark_and_profiling.md). Refer to [Benchmark and Profiling](../../developer_guide/benchmark_and_profiling.md).
@@ -113,7 +113,7 @@ Each CI workflow has a default limit defined in its workflow configuration file.
```yaml ```yaml
cool-down-minutes: cool-down-minutes:
description: "Default cooldown period in minutes; 0 disables rate limiting" description: "Cooldown period in minutes for low-permission users; 0 disables rate limiting"
type: number type: number
default: 120 default: 120
``` ```
@@ -133,7 +133,7 @@ Users listed in [CI_PERMISSIONS.json](https://github.com/sgl-project/sglang/blob
- Reuse server launches in your unit tests to make tests run faster. - Reuse server launches in your unit tests to make tests run faster.
- When supporting new hardware or features, follow these guidelines: - When supporting new hardware or features, follow these guidelines:
- Do not drastically change existing code. - Do not drastically change existing code.
- Always prefer new files to introduce specific components for your new hardware (e.g., `allocator_ascend.py`). - Always prefer new files to introduce specific components for your new hardware (e.g., `allocator_npu.py`).
- If you write multiple if/else blocks for new features, ensure the common path (e.g., NVIDIA hardware or the existing code path) is the first branch. - If you write multiple if/else blocks for new features, ensure the common path (e.g., NVIDIA hardware or the existing code path) is the first branch.
## How to update sgl-kernel ## How to update sgl-kernel