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AQIT 0.1.0
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Go to the source code of this file.
Namespaces | |
| namespace | aquin |
| namespace | aquin.compute |
| namespace | aquin.compute.activation_store |
Functions | |
| list[Path] | aquin.compute.activation_store.find_chunk_paths (Path acts_dir) |
| dict[str, Any]|None | aquin.compute.activation_store.read_manifest (Path acts_dir) |
| Path | aquin.compute.activation_store.write_collect_manifest (Path acts_dir, *, str model_id, int layer, str model_mode, int d_model, str source, int n_vectors, str|None checkpoint_path=None, str|None corpus_path=None) |
| int | aquin.compute.activation_store._split_save_chunks (torch.Tensor stacked, Path out_dir) |
| int | aquin.compute.activation_store.import_capture_to_chunks (Path capture_dir, int layer, Path out_dir) |
| int | aquin.compute.activation_store.import_capture_to_chunks_balanced (Path capture_dir, int layer, Path out_dir, *, str|None group=None) |
| Path | aquin.compute.activation_store.resolve_training_acts_dir (str|Path path, int layer, *, bool balance=False, str|None balance_group=None) |
| int | aquin.compute.activation_store.count_vectors (Path acts_dir) |
| tuple[torch.Tensor, torch.Tensor] | aquin.compute.activation_store.compute_norm (Path acts_dir, int d_model) |
| None | aquin.compute.activation_store.validate_acts_manifest (Path acts_dir, *, str model_id, int layer) |
Variables | |
| int | aquin.compute.activation_store.CHUNK_SIZE = 50_000 |
| str | aquin.compute.activation_store.MANIFEST_NAME = "manifest.json" |