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[Misc] Set default value of seed to None #14274

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[Misc] Set default value of seed to None #14274

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2 changes: 1 addition & 1 deletion vllm/engine/arg_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -104,7 +104,7 @@ class EngineArgs:
config_format: ConfigFormat = ConfigFormat.AUTO
dtype: str = 'auto'
kv_cache_dtype: str = 'auto'
seed: int = 0
seed: Optional[int] = None
max_model_len: Optional[int] = None
# Note: Specifying a custom executor backend by passing a class
# is intended for expert use only. The API may change without
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2 changes: 1 addition & 1 deletion vllm/entrypoints/llm.py
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Expand Up @@ -168,7 +168,7 @@ def __init__(
quantization: Optional[str] = None,
revision: Optional[str] = None,
tokenizer_revision: Optional[str] = None,
seed: int = 0,
seed: Optional[int] = None,
gpu_memory_utilization: float = 0.9,
swap_space: float = 4,
cpu_offload_gb: float = 0,
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4 changes: 2 additions & 2 deletions vllm/utils.py
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Expand Up @@ -644,7 +644,7 @@ def create_kv_caches_with_random_flash(
head_size: int,
cache_dtype: Optional[Union[str, torch.dtype]],
model_dtype: Optional[Union[str, torch.dtype]] = None,
seed: int = 0,
seed: Optional[int] = None,
device: Optional[str] = "cuda",
) -> tuple[list[torch.Tensor], list[torch.Tensor]]:
from vllm.platforms import current_platform
Expand Down Expand Up @@ -681,7 +681,7 @@ def create_kv_caches_with_random(
head_size: int,
cache_dtype: Optional[Union[str, torch.dtype]],
model_dtype: Optional[Union[str, torch.dtype]] = None,
seed: int = 0,
seed: Optional[int] = None,
device: Optional[str] = "cuda",
) -> tuple[list[torch.Tensor], list[torch.Tensor]]:

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