o iq@s@ddlmZddlZddlmZddlmZGdddeZdS)) defaultdictN) AbsEnhLoss)AbsLossWrappercs0eZdZddeffdd ZifddZZS)FixedOrderSolver? criterioncst||_||_dS)N)super__init__rweight)selfrr  __class__Y/home/ubuntu/.local/lib/python3.10/site-packages/espnet2/enh/loss/wrappers/fixed_order.pyr s  zFixedOrderSolver.__init__c Cst|t|ksJt|t|ft|}d}tt}t||D]&\}}|t||||7}t|jdiD] \} } ||  | q;q!|D]\} } tj | dd|| <qL| ||jj <t |d|ddd} |t|d| ifS)a_An naive fixed-order solver Args: ref (List[torch.Tensor]): [(batch, ...), ...] x n_spk inf (List[torch.Tensor]): [(batch, ...), ...] Returns: loss: (torch.Tensor): minimum loss with the best permutation stats: dict, for collecting training status others: reserved gstats)dimrperm)lenrlistziptorchmeanrgetattritemsappendstackdetachnamearange unsqueezerepeatsizedict) r refinfothersnum_spklossrrikvrrrrforwards$ "zFixedOrderSolver.forward)r)__name__ __module__ __qualname__rr r- __classcell__rrr rr sr) collectionsrr$espnet2.enh.loss.criterions.abs_lossr%espnet2.enh.loss.wrappers.abs_wrapperrrrrrrs