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Use new litserve accelerator="auto" setting #1336

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merged 7 commits into from
Apr 24, 2024
Merged

Use new litserve accelerator="auto" setting #1336

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8170500
Use new litserve accelerator="auto" setting
rasbt Apr 22, 2024
d7a4ac4
Update litgpt/deploy/serve.py
rasbt Apr 22, 2024
8e63109
Merge branch 'main' into update-litserve
rasbt Apr 22, 2024
6fff15a
update devices
rasbt Apr 22, 2024
fe57f86
restore
rasbt Apr 22, 2024
680b0ce
Update litserve
rasbt Apr 24, 2024
5ad2e5b
Merge branch 'main' into update-litserve
rasbt Apr 24, 2024
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5 changes: 3 additions & 2 deletions litgpt/deploy/serve.py
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Original file line number Diff line number Diff line change
Expand Up @@ -99,7 +99,7 @@ def run_server(
top_k: int = 200,
max_new_tokens: int = 50,
devices: int = 1,
accelerator: str = "cuda",
accelerator: str = "auto",
port: int = 8000
) -> None:
"""Serve a LitGPT model using LitServe
Expand All @@ -114,7 +114,8 @@ def run_server(
generated text but can also lead to more incoherent texts.
max_new_tokens: The number of generation steps to take.
devices: How many devices/GPUs to use.
accelerator: The type of accelerator to use. For example, "cuda" or "cpu".
accelerator: The type of accelerator to use. For example, "auto", "cuda", "cpu", or "mps".capitalize
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The "auto" setting (default) chooses a GPU if available, and otherwise uses a CPU.
port: The network port number on which the model is configured to be served.
"""
check_valid_checkpoint_dir(checkpoint_dir, model_filename="lit_model.pth")
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2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -12,7 +12,7 @@ dependencies = [
"torch>=2.2.0",
"lightning==2.3.0.dev20240328",
"jsonargparse[signatures]>=4.27.6",
"litserve==0.0.0.dev2", # imported by litgpt.deploy
"litserve @ git+https://github.com/Lightning-AI/litserve.git@aefcb13721b97b9da4ed9f7166b2f870bedfd92f", # imported by litgpt.deploy
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]

[project.urls]
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