
    Ph                         d dl mZmZmZmZ d dlmZ d dlmZm	Z	 d dl
mZ d dlmZ d dlmZmZmZ d dlmZmZ d dlmZmZmZmZmZmZ d d	lmZ d d
lmZ d dl m!Z!m"Z"m#Z#m$Z$m%Z%m&Z&m'Z'm(Z(m)Z)m*Z*m+Z+m,Z,m-Z-m.Z.m/Z/m0Z0m1Z1m2Z2m3Z3 d dl4m5Z5 g dZ6y)   )HDemucshdemucs_highhdemucs_lowhdemucs_medium)	Conformer)conv_tasnet_base
ConvTasNet)
DeepSpeech)Emformer)emformer_rnnt_baseemformer_rnnt_modelRNNT)
HypothesisRNNTBeamSearch)squim_objective_basesquim_objective_modelsquim_subjective_basesquim_subjective_modelSquimObjectiveSquimSubjective)	Tacotron2)
Wav2Letter)hubert_basehubert_largehubert_pretrain_basehubert_pretrain_largehubert_pretrain_modelhubert_pretrain_xlargehubert_xlargeHuBERTPretrainModelwav2vec2_basewav2vec2_largewav2vec2_large_lv60kwav2vec2_modelwav2vec2_xlsr_1bwav2vec2_xlsr_2bwav2vec2_xlsr_300mWav2Vec2Model
wavlm_basewavlm_largewavlm_model)WaveRNN)*r   r,   r	   r   r
   r(   r    r+   r)   r*   r$   r!   r"   r#   r   r   r   r   r   r   r   r'   r%   r&   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   r   N)7_hdemucsr   r   r   r   	conformerr   conv_tasnetr   r	   
deepspeechr
   emformerr   rnntr   r   r   rnnt_decoderr   r   squimr   r   r   r   r   r   	tacotron2r   
wav2letterr   wav2vec2r   r   r   r   r   r   r   r    r!   r"   r#   r$   r%   r&   r'   r(   r)   r*   r+   wavernnr,   __all__     eC:\Users\daisl\Desktop\realtime-object-detection\venv\Lib\site-packages\torchaudio/models/__init__.py<module>r=      s\    H H   5 "  ? ? 4  ! "     * +r;   