o iC@sddlmZddlmZmZmZmZmZddlZddl m Z ddl m Z ddlmZddlmZddlmZe eje d kZGd d d eZdS) ) OrderedDict)DictListOptionalTupleUnionN)parse) ComplexTensor) is_complex)TemporalConvNet) AbsSeparatorz1.9.0cseZdZ          dd ed ed ed ed ededededededeffdd Z d deej e fdej de e de eeej e fej effddZeddZZS)! TCNSeparatorFgLNrelu input_dimnum_spk predict_noiselayerstackbottleneck_dim hidden_dimkernelcausal norm_type nonlinearc sZt||_||_| dvrtd| t|||||||r#|dn|| | | d |_dS)aTemporal Convolution Separator Args: input_dim: input feature dimension num_spk: number of speakers predict_noise: whether to output the estimated noise signal layer: int, number of layers in each stack. stack: int, number of stacks bottleneck_dim: bottleneck dimension hidden_dim: number of convolution channel kernel: int, kernel size. causal: bool, defalut False. norm_type: str, choose from 'BN', 'gLN', 'cLN' nonlinear: the nonlinear function for mask estimation, select from 'relu', 'tanh', 'sigmoid' )sigmoidrtanhzNot supporting nonlinear={}) NBHPXRCrrmask_nonlinearN)super__init___num_spkr ValueErrorformatr tcn) selfrrrrrrrrrrr __class__W/home/ubuntu/.local/lib/python3.10/site-packages/espnet2/enh/separator/tcn_separator.pyr,s"  zTCNSeparator.__init__Ninputilens additionalreturnc str t}n}|j\}}}|dd}||}|dd}|jr/|jdd^}} n|jdd}fdd|D} ttddt t |D|} |jrW| | d<| || fS) aForward. Args: input (torch.Tensor or ComplexTensor): Encoded feature [B, T, N] ilens (torch.Tensor): input lengths [Batch] additional (Dict or None): other data included in model NOTE: not used in this model Returns: masked (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), ] r"rr)dimcsg|]}|qSr4r4).0mr6r4r5 ksz(TCNSeparator.forward..cSsg|] }d|dqS)z mask_spk{}r")r/)r;ir4r4r5r>nsnoise1) r absshape transposer0runbindrziprangelen) r1r6r7r8featurer$Lr#masks mask_noisemaskedothersr4r=r5forwardCs"        zTCNSeparator.forwardcCs|jSN)r-)r1r4r4r5ruszTCNSeparator.num_spk) rFrrrrrFrrrO)__name__ __module__ __qualname__intboolstrr,rtorchTensorr rrrrrrNpropertyr __classcell__r4r4r2r5r s\    7  2r ) collectionsrtypingrrrrrrVpackaging.versionrVtorch_complex.tensorr espnet2.enh.layers.complex_utilsr espnet2.enh.layers.tcnr #espnet2.enh.separator.abs_separatorr __version__is_torch_1_9_plusr r4r4r4r5s