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hub / github.com/abetlen/llama-cpp-python / MTMDProcessor

Class MTMDProcessor

examples/server/server.py:10534–11226  ·  view source on GitHub ↗

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10532
10533
10534class MTMDProcessor:
10535 @dataclass
10536 class MediaChunk:
10537 kind: Literal["image", "audio", "video"]
10538 key: str
10539 chunk: Any
10540 n_tokens: int
10541 decode_n_pos: int
10542 non_causal: bool
10543 embeddings: Optional[np.ndarray] = None
10544
10545 @dataclass
10546 class ParsedChunk:
10547 text_tokens: Optional[List[int]] = None
10548 media: Optional["MTMDProcessor.MediaChunk"] = None
10549
10550 def __init__(
10551 self,
10552 *,
10553 model_path: str,
10554 llama_model: Any,
10555 chat_formatter: Jinja2ChatFormatter,
10556 tokenize: Callable[..., List[int]],
10557 n_embd_inp: int,
10558 n_batch: int,
10559 n_ubatch: int,
10560 n_threads_batch: int,
10561 mmproj_path: str,
10562 batch_max_tokens: int,
10563 embedding_cache: Optional[MTMDEmbeddingCache],
10564 allowed_media_domains: Optional[List[str]],
10565 allowed_local_media_path: Optional[str],
10566 image_max_bytes: int,
10567 audio_max_bytes: int,
10568 video_max_bytes: int,
10569 image_timeout_seconds: float,
10570 ) -> None:
10571 self.chat_formatter = chat_formatter
10572 self.tokenize = tokenize
10573 self.n_embd_inp = n_embd_inp
10574 self.n_batch = n_batch
10575 self.n_ubatch = n_ubatch
10576 self.mmproj_path = mmproj_path
10577 self.embedding_cache = embedding_cache
10578 self.batch_max_tokens = batch_max_tokens
10579 self.model_fingerprint = MTMDEmbeddingCache.fingerprint_file(model_path)
10580 self.mmproj_fingerprint = MTMDEmbeddingCache.fingerprint_file(mmproj_path)
10581 self.allowed_media_domains = (
10582 {domain.lower() for domain in allowed_media_domains}
10583 if allowed_media_domains is not None
10584 else set()
10585 )
10586 self.allowed_local_media_path = (
10587 Path(allowed_local_media_path).expanduser().resolve()
10588 if allowed_local_media_path is not None
10589 else None
10590 )
10591 self.image_max_bytes = image_max_bytes

Callers 1

mainFunction · 0.85

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