mirror of
https://git.datalinker.icu/vllm-project/vllm.git
synced 2025-12-17 21:25:58 +08:00
45 lines
1.1 KiB
Python
45 lines
1.1 KiB
Python
# SPDX-License-Identifier: Apache-2.0
|
|
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
|
|
|
|
from dataclasses import dataclass
|
|
|
|
import torch
|
|
|
|
from vllm.v1.sample.logits_processor import LogitsProcessors
|
|
|
|
|
|
@dataclass
|
|
class SamplingMetadata:
|
|
temperature: torch.Tensor | None
|
|
all_greedy: bool
|
|
all_random: bool
|
|
|
|
top_p: torch.Tensor | None
|
|
top_k: torch.Tensor | None
|
|
|
|
generators: dict[int, torch.Generator]
|
|
|
|
# None means no logprobs, 0 means sampled token logprobs only
|
|
max_num_logprobs: int | None
|
|
|
|
no_penalties: bool
|
|
prompt_token_ids: torch.Tensor | None
|
|
frequency_penalties: torch.Tensor
|
|
presence_penalties: torch.Tensor
|
|
repetition_penalties: torch.Tensor
|
|
|
|
output_token_ids: list[list[int]]
|
|
|
|
# `allowed_token_ids_mask` is a 2D bool tensor of shape (max batch size,
|
|
# vocab size).
|
|
allowed_token_ids_mask: torch.Tensor | None
|
|
|
|
# req_index -> bad_words_token_ids
|
|
bad_words_token_ids: dict[int, list[list[int]]]
|
|
|
|
# Loaded logits processors
|
|
logitsprocs: LogitsProcessors
|
|
|
|
# Speculative token ids
|
|
spec_token_ids: list[list[int]] | None = None
|