torchwrench.extras.numpy.saving module¶

torchwrench.extras.numpy.saving.dump_ndarray(obj: ndarray, fpath: str | Path | None = None, *args, np_format: 'npy' | 'npz' | None = 'npy', overwrite: bool = True, make_parents: bool = True, **kwargs) → bytes[source]¶

torchwrench.extras.numpy.saving.dump_numpy(obj: ndarray, fpath: str | Path | None = None, *args, np_format: 'npy' | 'npz' | None = 'npy', overwrite: bool = True, make_parents: bool = True, **kwargs) → bytes[source]¶

torchwrench.extras.numpy.saving.dumps_ndarray(obj: ndarray, fpath: str | Path | None = None, *args, np_format: 'npy' | 'npz' | None = 'npy', overwrite: bool = True, make_parents: bool = True, **kwargs) → bytes[source]¶

torchwrench.extras.numpy.saving.load_ndarray(fpath: str | Path, *args, **kwargs) → ndarray[source]¶

torchwrench.extras.numpy.saving.load_numpy(fpath: str | Path, *args, **kwargs) → ndarray[source]¶

torchwrench.extras.numpy.saving.loads_ndarray(fpath: str | Path, *args, **kwargs) → ndarray[source]¶

torchwrench.extras.numpy.saving.read_ndarray(fpath: str | Path, *args, **kwargs) → ndarray[source]¶

torchwrench.extras.numpy.saving.save_ndarray(obj: ndarray, fpath: str | Path | None = None, *args, np_format: 'npy' | 'npz' | None = 'npy', overwrite: bool = True, make_parents: bool = True, **kwargs) → bytes[source]¶