iddlmZddlZddlmZddlmZddlmZ ddejdejde fdZ ddejde fd Z edd ede fd Z Gd d ejZe jdded ede fdZy))singledispatchN)BaseWaveformTransform)Model augmentationmodulewhencjt|||t|ds(tj|_t |_||jvr t|||j|<|dk(rfd}|j|}n|dk(rfd}|j|}|j |<y)uJRegister augmentation Parameters ---------- augmentation : nn.Module Augmentation module. module : nn.Module Module whose input or output should be augmented. when : {'input', 'output'} Whether to apply augmentation on the input or the output. Defaults to 'input'. Usage ----- class Net(nn.Module): def __init__(self): super().__init__() self.spectogram = Spectrogram() self.other_layers = nn.Identity() def forward(self, waveforms): spectrogram = self.spectrogram(waveforms) return self.other_layers = other_layers net = Net() class AddNoise(nn.Module): def forward(self, waveforms): if not self.training: return waveforms augmented_waveforms = ... return augmented_waveforms # AddNoise will be automatically applied to `net` input register_augmentation(AddNoise(), net, when='input') class SpecAugment(nn.Module): def forward(self, spectrograms): if not self.training: return spectrograms augmented_spectrograms = ... return augmented_spectrograms # SpecAugment will be automatically applied to `net.spectrogram` output register_augmentation(SpecAugment(), net.spectrogram, when='output') # deactivate augmentations net.eval() # or net.train(mode=False) # reactivate augmentations net.train() # unregister "AddNoise" augmentation unregister_augmentation(net, when='input') r__augmentationinputc|SN)augmented_moduler wrapped_augmentations y/Volumes/fast/ai/experiments/voice-extract-mac/.venv/lib/python3.12/site-packages/pyannote/audio/augmentation/registry.py input_hookz)register_augmentation..input_hookos'/ /outputc|Srr)rr rrs r output_hookz*register_augmentation..output_hookvs'/ /rN) wrap_augmentationhasattrnn ModuleDictr dict__augmentation_handleunregister_augmentationregister_forward_pre_hookregister_forward_hook)rrrrhandlerrs @rregister_augmentationr" sB-\6M 6+ , " '+v$ v$$$T2"6F$ w 011*=   0--k:)/F  &rct|dr||jvrtd|d|j|=|jj |}|j y)adUnregister augmentation Parameters ---------- module : nn.Module Module whose augmentation should be removed. when : {'input', 'output'} Whether to remove augmentation of the input or the output. Defaults to 'input'. Raises ------ ValueError if module has no corresponding registered augmentation. r zModule has no registered u augmentation.N)rr ValueErrorrpopremove)rrr!s rrr~s` F, -4v?T?T3T4TF/JKKd# ) ) - -d 3F MMOrmodelc|Srrrr'rs rrrs rcheZdZ ddededeffd ZdejdejfdZ xZ S) ,TorchAudiomentationsWaveformTransformWrapperrr'rct|||_t|ts#t d|j jd|dk7rtd|d|jj|_ y)Nzttorch-audiomentations waveform transforms can only be applied to `pyannote.audio.Model` instances: you tried with a z instance.r zetorch-audiomentations waveform transforms can only be applied to the model input: you tried with the .) super__init__r isinstancer TypeError __class____name__r$audio sample_rate sample_rate_)selfrr'rr2s rr/z5TorchAudiomentationsWaveformTransformWrapper.__init__s (%'$$)OO$<$<#=ZI  7?&&*V1.  "KK33r waveformsreturncP|j||jjS)N)samplesr5)rr6r;)r7r8s rforwardz4TorchAudiomentationsWaveformTransformWrapper.forwards*  4+<+<! ' rr ) r3 __module__ __qualname__rrstrr/torchTensorr< __classcell__)r2s@rr+r+s>MT414:?4GJ4(%,,rr+ct|||S)Nr )r+r)s r_rEs 7 eRV WWrr=) functoolsrrAtorch.nnr/torch_audiomentations.core.transforms_interfacerpyannote.audio.core.modelrModuler@r"rrr+registerrErrrrLs.% Q+ [0))[0 II[0 [0|BIIS452996X)X%XsXXr