o i@sddlZddlmZddlmZmZmZmZddlZddl Z ddl m Z ddl m Z ddlmZdZdZd Zd Zgd ZGd d d e ZdS)N)Path)ListOptionalTupleUnion)Dataset)download_url_to_file) _extract_zipz5https://zenodo.org/record/3338373/files/musdb18hq.zip@baac80d0483c61d74b2e5f3be75fa557eec52898339e6aa45c1fa48833c5d21dz.waviD)zActions - One Minute Smilez.Clara Berry And Wooldog - Waltz For My VictimszJohnny Lokke - Promises & Liesz"Patrick Talbot - A Reason To LeavezTriviul - AngelsaintzAlexander Ross - Goodbye BolerozFergessen - Nos PalpitantszLeaf - SummerghostzSkelpolu - Human MistakeszYoung Griffo - PennieszANiMAL - RockshowzJames May - On The LinezMeaxic - Take A StepzTraffic Experiment - Sirensc @seZdZdZ   ddeeefdedeeedeede d df d d Z d d Z de d e eje e effddZddZde d e eje e effddZd e fddZdS)MUSDB_HQa*MUSDB_HQ* :cite:`MUSDB18HQ` dataset. Args: root (str or Path): Root directory where the dataset's top level directory is found subset (str): Subset of the dataset to use. Options: [``"train"``, ``"test"``]. sources (List[str] or None, optional): Sources extract data from. List can contain the following options: [``"bass"``, ``"drums"``, ``"other"``, ``"mixture"``, ``"vocals"``]. If ``None``, dataset consists of tracks except mixture. (default: ``None``) split (str or None, optional): Whether to split training set into train and validation set. If ``None``, no splitting occurs. If ``train`` or ``validation``, returns respective set. (default: ``None``) download (bool, optional): Whether to download the dataset if it is not found at root path. (default: ``False``) NFrootsubsetsourcessplitdownloadreturnc Cs|sgdn||_||_tjt}tj||}|ddd}|dvr)td|jdur7|jdvr7tdtj||}tj|||_ tj |j sltj |s`|sYt d t t|td tj|d d t||||_dS) N)bassdrumsothervocals.r)testtrainz)`subset` must be one of ['test', 'train'])r validationz.`split` must be one of ['train', 'validation']z9Dataset not found. Please use `download=True` to download) hash_prefixT)exist_ok)rrospathbasename_URLjoinrsplit ValueError_pathisdirisfile RuntimeErrorr _CHECKSUMmakedirsr _collect_songsnames) selfr r rrrrarchive base_pathr/R/home/ubuntu/vllm_env/lib/python3.10/site-packages/torchaudio/datasets/musdb_hq.py__init__2s&   zMUSDB_HQ.__init__cCst|j||tSN)rr$_EXT)r,namesourcer/r/r0 _get_trackQszMUSDB_HQ._get_tracknc Cs|j|}g}d}|jD]9}|||}tt|\}}|tkr+tdtd||dur5|jd}n |jd|kr@td| |q t |} | t||fS)Nzexpected sample rate z , but got z&num_frames do not match across sources) r+rr6 torchaudioloadstr _SAMPLE_RATEr#shapeappendtorchstack) r,r7r4wavs num_framesr5trackwavsrstackedr/r/r0 _load_sampleTs       zMUSDB_HQ._load_samplecCs|jdkrtSt|j}g}tj|ddD]*\}}}t|}|jds*|s*||kr+qt| |}|jr:|tvr:q| |qt |S)NrT) followlinksr) r_VALIDATION_SETrr$rwalkr4 startswithr; relative_tor>sorted)r,rr+r folders_r4r/r/r0r*hs   zMUSDB_HQ._collect_songscCs ||S)afLoad the n-th sample from the dataset. Args: n (int): The index of the sample to be loaded Returns: Tuple of the following items; Tensor: Waveform int: Sample rate int: Num frames str: Track name )rG)r,r7r/r/r0 __getitem__ws zMUSDB_HQ.__getitem__cCs t|jSr2)lenr+)r,r/r/r0__len__s zMUSDB_HQ.__len__)NNF)__name__ __module__ __qualname____doc__rr;rrrboolr1r6intrr?TensorrGr*rPrRr/r/r/r0r !s.     r )rpathlibrtypingrrrrr?r9torch.utils.datartorchaudio._internalrtorchaudio.datasets.utilsr r r(r3r<rIr r/r/r/r0s