Signed-off-by: Sourashis Roy <sroy@roblox.com> Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu> Co-authored-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
32 lines
644 B
Python
32 lines
644 B
Python
from dataclasses import dataclass
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from typing import Dict, List, Optional, Set
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import torch
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@dataclass
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class SamplingMetadata:
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temperature: torch.Tensor
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all_greedy: bool
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all_random: bool
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top_p: torch.Tensor
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top_k: torch.Tensor
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no_top_p: bool
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no_top_k: bool
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generators: Dict[int, torch.Generator]
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max_num_logprobs: int
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no_penalties: bool
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prompt_token_ids: Optional[torch.Tensor]
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frequency_penalties: torch.Tensor
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presence_penalties: torch.Tensor
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repetition_penalties: torch.Tensor
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output_token_ids: List[List[int]]
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min_tokens: List[int]
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stop_token_ids: List[Set[int]]
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