aac_metrics.functional.spice module¶
- check_spice_install(
- cache_path: str,
Check if SPICE is installed in cache directory.
Raises FileNotFoundError or NotADirectoryError exception if something is missing.
- spice(
- candidates: list[str],
- mult_references: list[list[str]],
- return_all_scores: bool = True,
- *,
- cache_path: str | Path | None = None,
- java_path: str | Path | None = None,
- tmp_path: str | Path | None = None,
- n_threads: int | None = None,
- java_max_memory: str = '8G',
- timeout: None | int | Iterable[int] = None,
- separate_cache_dir: bool = True,
- use_shell: bool | None = None,
- verbose: int = 0,
Semantic Propositional Image Caption Evaluation function.
- Parameters:
candidates – The list of sentences to evaluate.
mult_references – The list of list of sentences used as target.
return_all_scores – If True, returns a tuple containing the globals and locals scores. Otherwise returns a scalar tensor containing the main global score. defaults to True.
cache_path – The path to the external code directory. defaults to the value returned by
get_default_cache_path().java_path – The path to the java executable. defaults to the value returned by
get_default_java_path().tmp_path – Temporary directory path. defaults to the value returned by
get_default_tmp_path().n_threads – Number of threads used to compute SPICE. None value will use the default value of the java program. defaults to None.
java_max_memory – The maximal java memory used. defaults to “8G”.
timeout – The number of seconds before killing the java subprogram. If a list is given, it will restart the program if the i-th timeout is reached. If None, no timeout will be used. defaults to None.
separate_cache_dir – If True, the SPICE cache files will be stored into in a new temporary directory. This removes potential freezes when multiple instances of SPICE are running in the same cache dir. defaults to True.
use_shell – Optional argument to force use os-specific shell for the java subprogram. If None, it will use shell only on Windows OS. defaults to None.
verbose – The verbose level. defaults to 0.
- Returns:
A tuple of globals and locals scores or a scalar tensor with the main global score.