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Revert "Organize public APIs" (#815)

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Ying Sheng
2024-07-29 19:40:28 -07:00
committed by GitHub
parent 3520f75fb1
commit db6089e6f3
10 changed files with 66 additions and 74 deletions
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2
docs/en/model_support.md
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@@ -12,5 +12,5 @@ To port a model from vLLM to SGLang, you can compare these two files [SGLang LLa
- Add `EntryClass` at the end.
- Test correctness by comparing the final logits and outputs of the two following commands:
- `python3 playground/reference_hf.py --model [new model]`
- `python3 -m sglang.benchmarks.bench_latency --model [new model] --correct --output-len 16 --trust-remote-code`
- `python3 -m sglang.bench_latency --model [new model] --correct --output-len 16 --trust-remote-code`
- Update [Supported Models](https://github.com/sgl-project/sglang/tree/main?tab=readme-ov-file#supported-models) at [README](../README.md).

10
docs/en/test_process.md
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@@ -4,15 +4,15 @@
Make sure your changes do not slow down the following benchmarks
```
# single gpu
python -m sglang.benchmarks.bench_latency --model-path meta-llama/Llama-2-7b-chat-hf --mem-fraction-static 0.8 --batch 32 --input-len 512 --output-len 256
python -m sglang.benchmarks.bench_latency --model-path meta-llama/Llama-2-7b-chat-hf --mem-fraction-static 0.8 --batch 1 --input-len 512 --output-len 256
python -m sglang.bench_latency --model-path meta-llama/Llama-2-7b-chat-hf --mem-fraction-static 0.8 --batch 32 --input-len 512 --output-len 256
python -m sglang.bench_latency --model-path meta-llama/Llama-2-7b-chat-hf --mem-fraction-static 0.8 --batch 1 --input-len 512 --output-len 256
# multiple gpu
python -m sglang.benchmarks.bench_latency --model-path meta-llama/Meta-Llama-3-70B --tp 8 --mem-fraction-static 0.6 --batch 32 --input-len 8192 --output-len 1
python -m sglang.benchmarks.bench_latency --model-path meta-llama/Meta-Llama-3-70B --tp 8 --mem-fraction-static 0.6 --batch 1 --input-len 8100 --output-len 32
python -m sglang.bench_latency --model-path meta-llama/Meta-Llama-3-70B --tp 8 --mem-fraction-static 0.6 --batch 32 --input-len 8192 --output-len 1
python -m sglang.bench_latency --model-path meta-llama/Meta-Llama-3-70B --tp 8 --mem-fraction-static 0.6 --batch 1 --input-len 8100 --output-len 32
# moe model
python -m sglang.benchmarks.bench_latency --model-path databricks/dbrx-base --tp 8 --mem-fraction-static 0.6 --batch 4 --input-len 1024 --output-len 32
python -m sglang.bench_latency --model-path databricks/dbrx-base --tp 8 --mem-fraction-static 0.6 --batch 4 --input-len 1024 --output-len 32
```
### High-level API