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AudioGPT/NeuralSeq/modules/diff/__pycache__/diffusion.cpython-38.pyc

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Update audio-chatgpt.py
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update generspeech
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Update audio-chatgpt.py
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update generspeech
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<EFBFBD>  zResnetBlock.__init__cCsD|<00>|<01>}||<00>|<02>dd<00>dd<00>ddf7}|<00>|<03>}||<00>|<01>Sr )r\r[r]r_)r"r <00>time_emb<6D>hr r rr'<00>s
Update audio-chatgpt.py
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"
update generspeech
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zResnetBlock.forwardr(r r r#rrYts rYcs&eZdZd<07>fdd<04> Zdd<06>Z<04>ZS)<08>LinearAttentionrF<00> csDt<00><00><01>||_||}tj||dddd<04>|_t<03>||d<02>|_dS)NrKr1F)<01>bias)rr<00>headsrrL<00>to_qkv<6B>to_out)r"r.re<00>dim_head<61>
Update audio-chatgpt.py
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hidden_dimr#r rr<00>s

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update generspeech
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Nz*b (qkv heads c) h w -> qkv b heads c (h w)rK)re<00>qkvr4r5zbhdn,bhen->bhdezbhde,bhdn->bhenz"b heads c (h w) -> b (heads c) h w)rera<00>w)<08>shaperfrre<00>softmaxr8<00>einsumrg) r"r <00>b<>crarkrj<00>q<>k<>v<>context<78>outr r rr'<00>s
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Update audio-chatgpt.py
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cosine schedule
as proposed in https://openreview.net/forum?id=-NEXDKk8gZ
update generspeech
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r1r<00><00>?r0Nr4g+<2B><16><><EFBFBD><EFBFBD>?)<02>a_min<69>a_max)<05>np<6E>linspacer=<00>pi<70>clip)<06> timesteps<70>s<>stepsr <00>alphas_cumprod<6F>betasr r r<00>cosine_beta_schedule<6C>s ( r<>cs<>eZdZd!<21>fdd<05> Zdd<07>Zdd <09>Zd
Update audio-chatgpt.py
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d <0B>Zed <0C>d d<0E>Ze <09>
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update generspeech
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<00><01>|<00>dt <0C> |<07>dddtd<00>f<00>|<00>dt <0C> |<08>dddtd<00>f<00>dS)N<>use_midi<64><00>?r)<01>axisr4)<01>dtyper<65>r<><00>alphas_cumprod_prev<65>sqrt_alphas_cumprod<6F>sqrt_one_minus_alphas_cumprod<6F>log_one_minus_alphas_cumprod<6F>sqrt_recip_alphas_cumprod<6F>sqrt_recipm1_alphas_cumprodr1<00>posterior_variance<63>posterior_log_variance_clippedg#B<> <0C><><EFBFBD>;<3B>posterior_mean_coef1<66>posterior_mean_coef2<66>spec_min<69> keep_bins<6E>spec_max)!rr<00>
Update audio-chatgpt.py
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denoise_fnr
<00>getr <00>fs2r<00>decoder<65>mel_binsr<00>
update generspeech
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isinstancer8<00>Tensor<6F>detach<63>cpu<70>numpyr<79>r<><00>cumprodrrl<00>int<6E> num_timesteps<70> loss_typer<00>tensor<6F>float32<33>register_buffer<65>sqrtr7<00>maximum<75> FloatTensor)r"<00> phone_encoder<65>out_dimsr<73>r<>r<>r<>r<>r<><00>alphasr<73>r<><00>to_torchr<68>r#r rr<00>sH
Update audio-chatgpt.py
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 "
update generspeech
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<14><18>$zGaussianDiffusion.__init__cCsBt|j||j<02>|}td|j||j<02>}t|j||j<02>}|||fS)Nr<4E>)r~r<>rlr<>r<>)r"<00>x_startr{<00>mean<61>variance<63> log_variancer r r<00>q_mean_variance<63>sz!GaussianDiffusion.q_mean_variancecCs(t|j||j<02>|t|j||j<02>|Sr )r~r<>rlr<>)r"<00>x_tr{r<>r r r<00>predict_start_from_noise<73>s<12><02>z*GaussianDiffusion.predict_start_from_noisecCsRt|j||j<02>|t|j||j<02>|}t|j||j<02>}t|j||j<02>}|||fSr )r~r<>rlr<>r<>r<>)r"r<>r<>r{<00>posterior_meanr<6E>r<>r r r<00> q_posterior<6F>s<12><02>zGaussianDiffusion.q_posterior)<01> clip_denoisedc
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r"r r{r<>r<><00>
Update audio-chatgpt.py
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noise_pred<EFBFBD>x_recon<6F>
update generspeech
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model_meanr<EFBFBD><00>posterior_log_variancer r r<00>p_mean_variance<63>s  z!GaussianDiffusion.p_mean_varianceTFc Cs~|j|jf<01><02>^}}}|j||||d<01>\} }}
Update audio-chatgpt.py
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t|j||<05>} d|dk<02><04>j|fdt|j<00>d<00><02>} | | d|
update generspeech
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<00><07>| S)N)r r{r<>r<>r1rrvr<>)rlr3r<>r<><00>floatrxryr9) r"r r{r<>r<>r<>ror}r3r<><00>model_log_variancer<65><00> nonzero_maskr r r<00>p_samples
Update audio-chatgpt.py
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*zGaussianDiffusion.p_samplecs:t|<03>fdd<02><08>}t|j|<02>j<03><03>t|j|<02>j<03>|S)Ncs
t<00><01><00>Sr <00>r8<00>
update generspeech
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randn_liker <00>r<>r rr<>r<>z,GaussianDiffusion.q_sample.<locals>.<lambda>)rr~r<>rlr<>)r"r<>r{r<>r r<>r<00>q_samples
Update audio-chatgpt.py
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<12><02>zGaussianDiffusion.q_samplec s<>t|<04>fdd<02><08>}|j<01>||d<03>}|<00>|||<03>}|jdkrp|dk r^||<00><04>|<05>d<05><00><06>}q<>||<00><04><00><06>}n|jdkr<>t<07>||<07>}nt <09><00>|S)Ncs
update generspeech
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t<00><01><00>Sr r<>r r<>r rr<>r<>z,GaussianDiffusion.p_losses.<locals>.<lambda>)r<>r{r<>r<>r1<00>l2)
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nonpadding<EFBFBD>x_noisyr<79><00>lossr r<>r<00>p_lossess
Update audio-chatgpt.py
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zGaussianDiffusion.p_lossesc  CsL|j|jf<01><02>^} }
} |j|||||||d|d<02> } | d<00>dd<05>} |s<>tjd|j| f| d<07><04><07>}|}|<00>|<0F>}|<0F>dd<05>dd<00>ddd<00>dd<00>f}|dk<03> <09>}|j
||| |d<08>| d <n<>|j}| jdd|j | jdf}tj || d<07>}t ttd|<0E><02>d
update generspeech
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|d <0B>D]$}|<00>|tj| f|| tjd <0C>| <0A>}q<>|dd<00>df<00>dd<05>}|<00>|<0F>| d <| S)NT)<02> skip_decoder<65>infer<65> decoder_inpr1r0rr2)r<><00> diff_losszsample time step)<02>desc<73>total)r3r<><00>mel_out)rlr3r<><00> transposer8<00>randintr<74><00>long<6E> norm_specr<63>r<>r<>rr<00>reversed<65>ranger<65><00>full<6C> denorm_spec)r"<00>
txt_tokens<EFBFBD>mel2ph<70> spk_embed<65>ref_mels<6C>f0<66>uv<75>energyr<79>ror}r3<00>retr<74>r{r r<>rl<00>ir r rr',s*<02>
$ "zGaussianDiffusion.forwardcCs||j|j|jddS)Nr0r1)r<>r<>rDr r rr<>DszGaussianDiffusion.norm_speccCs|dd|j|j|jS)Nr1r0)r<>r<>rDr r rr<>GszGaussianDiffusion.denorm_speccCs|j<00>||||<04>Sr )r<><00> cwt2f0_norm)r"<00>cwt_specr<63><00>stdr<64>r r rr<>JszGaussianDiffusion.cwt2f0_normcCs|Sr r rDr r r<00>out2melMszGaussianDiffusion.out2mel)r<>r<>NNN)TF)N)NN)NNNNNNF)r)r*r+rr<>r<>r<><00>boolr<6C>r8<00>no_gradr<64>r<>r<>r'r<>r<>r<>r<>r,r r r#rr<><00>s2<00>3 
Update audio-chatgpt.py
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<00>
update generspeech
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r<>)F)r<>)*r6<00>random<6F> functoolsr<00>inspectr<00>pathlibrr<>r<>r8<00>torch.nn.functionalr<00>
Update audio-chatgpt.py
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functionalrBr<00>einopsr<00>modules.fastspeech.fs2r<00>modules.diffsinger_midi.fs2r <00> utils.hparamsr
update generspeech
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rrrr<00>Modulerr-r@rErJrMrRrYrbr~r<>r<>r<>r r r r<00><module>s<               
Update audio-chatgpt.py
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