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lock torch version to 2.0.1 when build for #1283 #1290

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Merged
merged 4 commits into from
Oct 10, 2023
Merged

lock torch version to 2.0.1 when build for #1283 #1290

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4f1ecc2
lock torch version to 2.0.1 when build
yanxiyue Oct 8, 2023
a62909d
Merge branch 'vllm-project:main' into master
yanxiyue Oct 8, 2023
1bdfcfa
Merge branch 'vllm-project:main' into master
yanxiyue Oct 10, 2023
bbca9f5
Fix torch & xformers versions in requirements.txt
WoosukKwon Oct 10, 2023
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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -3,7 +3,7 @@ requires = [
"ninja",
"packaging",
"setuptools",
"torch >= 2.0.0",
"torch == 2.0.1",
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Will torch >= 2.0.0, < 2.1.0 be better? It seems that torch == 2.0.0 works as well.

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Thanks for the suggestion. I think this is good since xformers requires torch 2.0.1

(RECOMMENDED, linux & win) Install latest stable with pip: Requires PyTorch 2.0.1

"wheel",
]
build-backend = "setuptools.build_meta"
4 changes: 2 additions & 2 deletions requirements.txt
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Expand Up @@ -5,9 +5,9 @@ pandas # Required for Ray data.
pyarrow # Required for Ray data.
sentencepiece # Required for LLaMA tokenizer.
numpy
torch >= 2.0.0
torch == 2.0.1
transformers >= 4.33.1 # Required for Code Llama.
xformers >= 0.0.22
xformers == 0.0.22
fastapi
uvicorn[standard]
pydantic < 2 # Required for OpenAI server.