File size: 1,505 Bytes
b593054 443b6bc b593054 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 | """Ordered, residue-aware protein embedding utilities."""
from .pooling import POOLING_NAMES, Pooler, pagerank_weights
from .runner import (
EmbeddingMixin,
embed_dataset,
iter_fasta,
parse_fasta,
select_hidden_state_embeddings,
)
from .storage import (
DEFAULT_SHARD_SIZE,
append_sqlite_records,
convert_legacy_sqlite,
garbage_collect_safetensors_generations,
initialize_sqlite_run,
load_legacy_pth,
load_result,
load_safetensors_result,
load_sqlite_result,
save_result,
save_safetensors_result,
save_sqlite_result,
tensor_sha256,
update_sqlite_run_metadata,
)
from .types import (
EmbeddingBatch,
EmbeddingInput,
EmbeddingRecord,
EmbeddingResult,
LazyTensorReference,
TensorValue,
)
__all__ = [
"DEFAULT_SHARD_SIZE",
"POOLING_NAMES",
"EmbeddingBatch",
"EmbeddingInput",
"EmbeddingMixin",
"EmbeddingRecord",
"EmbeddingResult",
"LazyTensorReference",
"Pooler",
"TensorValue",
"append_sqlite_records",
"convert_legacy_sqlite",
"embed_dataset",
"garbage_collect_safetensors_generations",
"initialize_sqlite_run",
"iter_fasta",
"load_legacy_pth",
"load_result",
"load_safetensors_result",
"load_sqlite_result",
"pagerank_weights",
"parse_fasta",
"save_result",
"save_safetensors_result",
"save_sqlite_result",
"select_hidden_state_embeddings",
"tensor_sha256",
"update_sqlite_run_metadata",
]
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