o i]@sddlmZddlmZmZmZmZddlZddlm Z ddl m Z ddl mZddlmZe eje dkZGd d d eZdS) ) OrderedDict)DictListOptionalTupleN)parse) FaSNet_TAC)iFaSNet) AbsSeparatorz1.9.0cseZdZ   ddededededed ed ed ed ed edededeffdd Z ddej dej de e de e ej ej effddZeddZZS)FaSNetSeparator>F input_dimenc_dim feature_dim hidden_dimlayer segment_sizenum_spkwin_len context_len fasnet_typedropoutsr predict_noisec sdt||_| |_| dvsJd| dkrtnt}||||||| r'|dn||| | | d |_dS)aFilter-and-sum Network (FaSNet) Separator Args: input_dim: required by AbsSeparator. Not used in this model. enc_dim: encoder dimension feature_dim: feature dimension hidden_dim: hidden dimension in DPRNN layer: number of DPRNN blocks in iFaSNet segment_size: dual-path segment size num_spk: number of speakers win_len: window length in millisecond context_len: context length in millisecond fasnet_type: 'fasnet' or 'ifasnet'. Select from origin fasnet or Implicit fasnet dropout: dropout rate. Default is 0. sr: samplerate of input audio predict_noise: whether to output the estimated noise signal )fasnetifasnetzonly support fasnet and ifasnetr) rrrrrnspkrrrrN)super__init___num_spkrrr r)selfrrrrrrrrrrrrrFASNET __class__Z/home/ubuntu/.local/lib/python3.10/site-packages/espnet2/enh/separator/fasnet_separator.pyr s" " zFaSNetSeparator.__init__Ninputilens additionalreturncCst|dks Jd|ddd}tjd|jd}|||}t|jdd}i}|jr5|^}}||d<|||fS) aForward. Args: input (torch.Tensor): (Batch, samples, channels) ilens (torch.Tensor): input lengths [Batch] additional (Dict or None): other data included in model NOTE: not used in this model Returns: separated (List[Union(torch.Tensor, ComplexTensor)]): [(B, T, N), ...] ilens (torch.Tensor): (B,) others predicted data, e.g. masks: OrderedDict[ 'mask_spk1': torch.Tensor(Batch, Frames, Freq), 'mask_spk2': torch.Tensor(Batch, Frames, Freq), ... 'mask_spkn': torch.Tensor(Batch, Frames, Freq), ] z4only support input shape: (Batch, samples, channels)rr)dtype)dimnoise1) r/permutetorchzerosr.rlistunbindr)r"r(r)r*none_mic separatedothersnoiser&r&r'forwardGs   zFaSNetSeparator.forwardcCs|jSN)r!)r"r&r&r'rrszFaSNetSeparator.num_spk)r r Fr;)__name__ __module__ __qualname__intstrfloatboolr r2Tensorrrrrrr:propertyr __classcell__r&r&r$r'r sV      < +r ) collectionsrtypingrrrrr2packaging.versionrVespnet2.enh.layers.fasnetrespnet2.enh.layers.ifasnetr #espnet2.enh.separator.abs_separatorr __version__is_torch_1_9_plusr r&r&r&r's