predict-stdin.txt

reformer-tts on  predict-and-refactor-squeezewave [$?] via 🅒 reformer-tts
➜ python reformer_tts/cli.py -c config/e2e_fused_full.yml predict-from-text -r checkpoints/reformer-tts_ljtc2/epoch=32-val_loss=0.05.ckpt -s checkpoints/squeeze_wave_training/epoch=299-val_loss=-5.75.ckpt -o output
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[nltk_data] Downloading package averaged_perceptron_tagger to .nltk...
[nltk_data]   Package averaged_perceptron_tagger is already up-to-
[nltk_data]       date!
[nltk_data] Downloading package cmudict to .nltk...
[nltk_data]   Package cmudict is already up-to-date!
[nltk_data] Downloading package punkt to .nltk...
[nltk_data]   Package punkt is already up-to-date!
Type a sentence and press enter to convert it to speech:
Hello, world.
HH AH0 L OW1   ,   W ER1 L D   .

COLUMNS:
spectrogram.shape, generated[:, -1, :].mean(), stop_pred.max()

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torch.Size([1, 590, 80]) tensor(0.0953) tensor(-7.4077)
torch.Size([1, 591, 80]) tensor(0.0831) tensor(-7.4945)
torch.Size([1, 592, 80]) tensor(0.0786) tensor(-7.4198)
torch.Size([1, 593, 80]) tensor(0.0805) tensor(-7.4067)
torch.Size([1, 594, 80]) tensor(0.0793) tensor(-7.5025)
torch.Size([1, 595, 80]) tensor(0.0801) tensor(-7.4018)
torch.Size([1, 596, 80]) tensor(0.0894) tensor(-7.4177)
torch.Size([1, 597, 80]) tensor(0.0819) tensor(-7.4010)
torch.Size([1, 598, 80]) tensor(0.0843) tensor(-7.3667)
torch.Size([1, 599, 80]) tensor(0.0858) tensor(-7.3656)
torch.Size([1, 600, 80]) tensor(0.0795) tensor(-7.4460)
torch.Size([1, 601, 80]) tensor(0.0829) tensor(-7.3535)
torch.Size([1, 602, 80]) tensor(0.0765) tensor(-7.4771)
torch.Size([1, 603, 80]) tensor(0.0808) tensor(-7.4635)
torch.Size([1, 604, 80]) tensor(0.0782) tensor(-7.3418)
torch.Size([1, 605, 80]) tensor(0.0805) tensor(-7.3876)
torch.Size([1, 606, 80]) tensor(0.0846) tensor(-7.2751)
torch.Size([1, 607, 80]) tensor(0.0745) tensor(-7.3830)
torch.Size([1, 608, 80]) tensor(0.0779) tensor(-7.3870)
torch.Size([1, 609, 80]) tensor(0.0819) tensor(-7.4035)
torch.Size([1, 610, 80]) tensor(0.0819) tensor(-7.3476)
torch.Size([1, 611, 80]) tensor(0.0795) tensor(-7.4182)
torch.Size([1, 612, 80]) tensor(0.0822) tensor(-6.9394)
torch.Size([1, 613, 80]) tensor(0.0840) tensor(-7.3464)
torch.Size([1, 614, 80]) tensor(0.0876) tensor(-7.3338)
torch.Size([1, 615, 80]) tensor(0.0795) tensor(-7.3832)
torch.Size([1, 616, 80]) tensor(0.0773) tensor(-7.4836)
torch.Size([1, 617, 80]) tensor(0.0801) tensor(-7.4743)
torch.Size([1, 618, 80]) tensor(0.0743) tensor(-7.3756)
torch.Size([1, 619, 80]) tensor(0.0761) tensor(-7.4638)
torch.Size([1, 620, 80]) tensor(0.0809) tensor(-7.3433)
torch.Size([1, 621, 80]) tensor(0.0784) tensor(-7.4001)
torch.Size([1, 622, 80]) tensor(0.0822) tensor(-7.3763)
torch.Size([1, 623, 80]) tensor(0.0822) tensor(-7.4643)
torch.Size([1, 624, 80]) tensor(0.0806) tensor(-7.4626)
torch.Size([1, 625, 80]) tensor(0.0786) tensor(-7.4139)
torch.Size([1, 626, 80]) tensor(0.0796) tensor(-7.3932)
torch.Size([1, 627, 80]) tensor(0.0720) tensor(-7.4538)
torch.Size([1, 628, 80]) tensor(0.0773) tensor(-7.4697)
torch.Size([1, 629, 80]) tensor(0.0797) tensor(-7.3063)
torch.Size([1, 630, 80]) tensor(0.0784) tensor(-7.3457)
torch.Size([1, 631, 80]) tensor(0.0766) tensor(-7.3710)
torch.Size([1, 632, 80]) tensor(0.0764) tensor(-7.3852)
torch.Size([1, 633, 80]) tensor(0.0814) tensor(-7.3189)
torch.Size([1, 634, 80]) tensor(0.0824) tensor(-7.3654)
torch.Size([1, 635, 80]) tensor(0.0698) tensor(-7.3269)
torch.Size([1, 636, 80]) tensor(0.0459) tensor(-7.4178)
torch.Size([1, 637, 80]) tensor(-0.0291) tensor(-7.3753)
torch.Size([1, 638, 80]) tensor(-0.1466) tensor(-7.4778)
torch.Size([1, 639, 80]) tensor(-0.2380) tensor(-7.3859)
torch.Size([1, 640, 80]) tensor(-0.2821) tensor(-7.2699)
torch.Size([1, 641, 80]) tensor(-0.4026) tensor(-7.3975)
torch.Size([1, 642, 80]) tensor(0.0394) tensor(-7.2889)
torch.Size([1, 643, 80]) tensor(0.0868) tensor(-6.9890)
torch.Size([1, 644, 80]) tensor(0.0906) tensor(-7.4025)
torch.Size([1, 645, 80]) tensor(0.0952) tensor(-7.4392)
torch.Size([1, 646, 80]) tensor(0.0929) tensor(-7.4189)
torch.Size([1, 647, 80]) tensor(0.0830) tensor(-7.5233)
torch.Size([1, 648, 80]) tensor(0.0776) tensor(-7.4596)
torch.Size([1, 649, 80]) tensor(0.0875) tensor(-7.2926)
torch.Size([1, 650, 80]) tensor(0.0841) tensor(-7.4085)
torch.Size([1, 651, 80]) tensor(0.0879) tensor(-7.4397)
torch.Size([1, 652, 80]) tensor(0.0859) tensor(-7.3867)
torch.Size([1, 653, 80]) tensor(0.0819) tensor(-7.1058)
torch.Size([1, 654, 80]) tensor(0.0832) tensor(-7.3871)
torch.Size([1, 655, 80]) tensor(0.0887) tensor(-7.4016)
torch.Size([1, 656, 80]) tensor(0.0881) tensor(-7.4113)
torch.Size([1, 657, 80]) tensor(0.0831) tensor(-7.3814)
torch.Size([1, 658, 80]) tensor(0.0779) tensor(-7.4710)
torch.Size([1, 659, 80]) tensor(0.0857) tensor(-7.3573)
torch.Size([1, 660, 80]) tensor(0.0876) tensor(-7.3713)
torch.Size([1, 661, 80]) tensor(0.0889) tensor(-7.4318)
torch.Size([1, 662, 80]) tensor(0.0865) tensor(-7.4834)
torch.Size([1, 663, 80]) tensor(0.0815) tensor(-7.3865)
torch.Size([1, 664, 80]) tensor(0.0865) tensor(-7.4311)
torch.Size([1, 665, 80]) tensor(0.0918) tensor(-7.2898)
torch.Size([1, 666, 80]) tensor(0.0823) tensor(-7.3278)
torch.Size([1, 667, 80]) tensor(0.0861) tensor(-7.3506)
torch.Size([1, 668, 80]) tensor(0.0833) tensor(-7.3161)
torch.Size([1, 669, 80]) tensor(0.0799) tensor(-7.3864)
torch.Size([1, 670, 80]) tensor(0.0837) tensor(-7.4545)
torch.Size([1, 671, 80]) tensor(0.0810) tensor(-7.1790)
torch.Size([1, 672, 80]) tensor(0.0855) tensor(-7.3869)
torch.Size([1, 673, 80]) tensor(0.0841) tensor(-7.5184)
torch.Size([1, 674, 80]) tensor(0.0787) tensor(-7.2105)
torch.Size([1, 675, 80]) tensor(0.0782) tensor(-7.2523)
torch.Size([1, 676, 80]) tensor(0.0865) tensor(-7.3097)
torch.Size([1, 677, 80]) tensor(0.0903) tensor(-7.3578)
torch.Size([1, 678, 80]) tensor(0.0893) tensor(-7.4281)
torch.Size([1, 679, 80]) tensor(0.0844) tensor(-6.9435)
torch.Size([1, 680, 80]) tensor(0.0793) tensor(-7.3744)
torch.Size([1, 681, 80]) tensor(0.0795) tensor(-7.3357)
torch.Size([1, 682, 80]) tensor(0.0842) tensor(-7.3059)
torch.Size([1, 683, 80]) tensor(0.0895) tensor(-7.4078)
torch.Size([1, 684, 80]) tensor(0.0831) tensor(-7.3904)
torch.Size([1, 685, 80]) tensor(0.0808) tensor(-7.3419)
torch.Size([1, 686, 80]) tensor(0.0841) tensor(-7.4209)
torch.Size([1, 687, 80]) tensor(0.0761) tensor(-7.3489)
torch.Size([1, 688, 80]) tensor(0.0802) tensor(-7.3444)
torch.Size([1, 689, 80]) tensor(0.0864) tensor(-7.3075)
torch.Size([1, 690, 80]) tensor(0.0841) tensor(-7.2453)
torch.Size([1, 691, 80]) tensor(0.0850) tensor(-7.3730)
torch.Size([1, 692, 80]) tensor(0.0814) tensor(-7.3891)
torch.Size([1, 693, 80]) tensor(0.0873) tensor(-7.4198)
torch.Size([1, 694, 80]) tensor(0.0856) tensor(-6.8106)
torch.Size([1, 695, 80]) tensor(0.0821) tensor(-7.0820)
torch.Size([1, 696, 80]) tensor(0.0830) tensor(-7.4214)
torch.Size([1, 697, 80]) tensor(0.0867) tensor(-7.3733)
torch.Size([1, 698, 80]) tensor(0.0803) tensor(-7.4051)
torch.Size([1, 699, 80]) tensor(0.0899) tensor(-7.4158)
torch.Size([1, 700, 80]) tensor(0.0898) tensor(-7.2694)
torch.Size([1, 701, 80]) tensor(0.0865) tensor(-7.4428)
torch.Size([1, 702, 80]) tensor(0.0795) tensor(-7.2788)
torch.Size([1, 703, 80]) tensor(0.0773) tensor(-7.3881)
torch.Size([1, 704, 80]) tensor(0.0872) tensor(-7.3683)
torch.Size([1, 705, 80]) tensor(0.0898) tensor(-7.3520)
torch.Size([1, 706, 80]) tensor(0.0843) tensor(-7.4592)
torch.Size([1, 707, 80]) tensor(0.0796) tensor(-7.3080)
torch.Size([1, 708, 80]) tensor(0.0809) tensor(-7.3776)
torch.Size([1, 709, 80]) tensor(0.0793) tensor(-7.3160)
torch.Size([1, 710, 80]) tensor(0.0776) tensor(-7.2806)
torch.Size([1, 711, 80]) tensor(0.0861) tensor(-7.3545)
torch.Size([1, 712, 80]) tensor(0.0828) tensor(-7.4265)
torch.Size([1, 713, 80]) tensor(0.0782) tensor(-7.2924)
torch.Size([1, 714, 80]) tensor(0.0830) tensor(-7.3836)
torch.Size([1, 715, 80]) tensor(0.0799) tensor(-7.3278)
torch.Size([1, 716, 80]) tensor(0.0781) tensor(-7.4109)
torch.Size([1, 717, 80]) tensor(0.0857) tensor(-7.3342)
torch.Size([1, 718, 80]) tensor(0.0840) tensor(-7.3282)
torch.Size([1, 719, 80]) tensor(0.0787) tensor(-7.3049)
torch.Size([1, 720, 80]) tensor(0.0859) tensor(-7.3723)
torch.Size([1, 721, 80]) tensor(0.0833) tensor(-7.4734)
torch.Size([1, 722, 80]) tensor(0.0866) tensor(-7.4013)
torch.Size([1, 723, 80]) tensor(0.0876) tensor(-7.3897)
torch.Size([1, 724, 80]) tensor(0.0878) tensor(-7.3516)
torch.Size([1, 725, 80]) tensor(0.0859) tensor(-7.3249)
torch.Size([1, 726, 80]) tensor(0.0862) tensor(-7.3763)
torch.Size([1, 727, 80]) tensor(0.0881) tensor(-7.0748)
torch.Size([1, 728, 80]) tensor(0.0809) tensor(-7.4216)
torch.Size([1, 729, 80]) tensor(0.0833) tensor(-7.4645)
torch.Size([1, 730, 80]) tensor(0.0842) tensor(-7.3898)
torch.Size([1, 731, 80]) tensor(0.0885) tensor(-7.4414)
torch.Size([1, 732, 80]) tensor(0.0885) tensor(-7.4605)
torch.Size([1, 733, 80]) tensor(0.0905) tensor(-7.4053)
torch.Size([1, 734, 80]) tensor(0.0904) tensor(-7.3250)
torch.Size([1, 735, 80]) tensor(0.0912) tensor(-7.3719)
torch.Size([1, 736, 80]) tensor(0.0805) tensor(-7.4196)
torch.Size([1, 737, 80]) tensor(0.0786) tensor(-7.4565)
torch.Size([1, 738, 80]) tensor(0.0915) tensor(-7.4650)
torch.Size([1, 739, 80]) tensor(0.0857) tensor(-7.3077)
torch.Size([1, 740, 80]) tensor(0.0890) tensor(-7.3860)
torch.Size([1, 741, 80]) tensor(0.0819) tensor(-7.4154)
torch.Size([1, 742, 80]) tensor(0.0803) tensor(-7.3105)
torch.Size([1, 743, 80]) tensor(0.0772) tensor(-7.2845)
torch.Size([1, 744, 80]) tensor(0.0793) tensor(-7.4058)
torch.Size([1, 745, 80]) tensor(0.0803) tensor(-7.3687)
torch.Size([1, 746, 80]) tensor(0.0804) tensor(-7.3690)
torch.Size([1, 747, 80]) tensor(0.0844) tensor(-7.3263)
torch.Size([1, 748, 80]) tensor(0.0799) tensor(-7.4738)
torch.Size([1, 749, 80]) tensor(0.0793) tensor(-7.5319)
torch.Size([1, 750, 80]) tensor(0.0786) tensor(-7.3948)
torch.Size([1, 751, 80]) tensor(0.0789) tensor(-7.4602)
torch.Size([1, 752, 80]) tensor(0.0791) tensor(-7.4334)
torch.Size([1, 753, 80]) tensor(0.0788) tensor(-7.4583)
torch.Size([1, 754, 80]) tensor(0.0813) tensor(-7.3587)
torch.Size([1, 755, 80]) tensor(0.0727) tensor(-7.4338)
torch.Size([1, 756, 80]) tensor(0.0786) tensor(-7.3264)
torch.Size([1, 757, 80]) tensor(0.0778) tensor(-7.3807)
torch.Size([1, 758, 80]) tensor(0.0787) tensor(-7.3847)
torch.Size([1, 759, 80]) tensor(0.0821) tensor(-7.3790)
torch.Size([1, 760, 80]) tensor(0.0820) tensor(-7.3135)
torch.Size([1, 761, 80]) tensor(0.0804) tensor(-7.4163)
torch.Size([1, 762, 80]) tensor(0.0766) tensor(-7.4300)
torch.Size([1, 763, 80]) tensor(0.0765) tensor(-7.3549)
torch.Size([1, 764, 80]) tensor(0.0445) tensor(-7.4000)
torch.Size([1, 765, 80]) tensor(-0.0339) tensor(-7.3607)
torch.Size([1, 766, 80]) tensor(-0.1502) tensor(-7.3277)
torch.Size([1, 767, 80]) tensor(-0.2397) tensor(-7.5574)
torch.Size([1, 768, 80]) tensor(-0.2829) tensor(-7.4609)
torch.Size([1, 769, 80]) tensor(-0.3975) tensor(-7.3465)
torch.Size([1, 770, 80]) tensor(0.0286) tensor(-7.4282)
torch.Size([1, 771, 80]) tensor(0.0845) tensor(-7.4193)
torch.Size([1, 772, 80]) tensor(0.0866) tensor(-6.5673)
torch.Size([1, 773, 80]) tensor(0.0857) tensor(-6.9888)
torch.Size([1, 774, 80]) tensor(0.0863) tensor(-7.3406)
torch.Size([1, 775, 80]) tensor(0.0838) tensor(-7.3243)
torch.Size([1, 776, 80]) tensor(0.0824) tensor(-6.8999)
torch.Size([1, 777, 80]) tensor(0.0859) tensor(-7.4065)
torch.Size([1, 778, 80]) tensor(0.0800) tensor(-7.3868)
torch.Size([1, 779, 80]) tensor(0.0812) tensor(-7.2925)
torch.Size([1, 780, 80]) tensor(0.0828) tensor(-7.3882)
torch.Size([1, 781, 80]) tensor(0.0909) tensor(-7.4242)
torch.Size([1, 782, 80]) tensor(0.0879) tensor(-7.3712)
torch.Size([1, 783, 80]) tensor(0.0879) tensor(-7.3330)
torch.Size([1, 784, 80]) tensor(0.0874) tensor(-7.4461)
torch.Size([1, 785, 80]) tensor(0.0834) tensor(-7.3340)
torch.Size([1, 786, 80]) tensor(0.0891) tensor(-7.3675)
torch.Size([1, 787, 80]) tensor(0.0838) tensor(-7.2631)
torch.Size([1, 788, 80]) tensor(0.0841) tensor(-7.1729)
torch.Size([1, 789, 80]) tensor(0.0845) tensor(-7.4802)
torch.Size([1, 790, 80]) tensor(0.0878) tensor(-7.3636)
torch.Size([1, 791, 80]) tensor(0.0812) tensor(-6.8808)
torch.Size([1, 792, 80]) tensor(0.0832) tensor(-7.3611)
torch.Size([1, 793, 80]) tensor(0.0869) tensor(-7.3688)
torch.Size([1, 794, 80]) tensor(0.0806) tensor(-7.3902)
torch.Size([1, 795, 80]) tensor(0.0815) tensor(-7.3494)
torch.Size([1, 796, 80]) tensor(0.0804) tensor(-7.4050)
torch.Size([1, 797, 80]) tensor(0.0773) tensor(-6.3765)
torch.Size([1, 798, 80]) tensor(0.0871) tensor(-7.3227)
torch.Size([1, 799, 80]) tensor(0.0840) tensor(-6.7490)
torch.Size([1, 800, 80]) tensor(0.0847) tensor(-7.3958)
torch.Size([1, 801, 80]) tensor(0.0873) tensor(-7.3734)
torch.Size([1, 802, 80]) tensor(0.0820) tensor(-7.3074)
torch.Size([1, 803, 80]) tensor(0.0781) tensor(-7.3234)
torch.Size([1, 804, 80]) tensor(0.0771) tensor(-7.3588)
torch.Size([1, 805, 80]) tensor(0.0751) tensor(-7.4073)
torch.Size([1, 806, 80]) tensor(0.0759) tensor(-7.4560)
torch.Size([1, 807, 80]) tensor(0.0775) tensor(-7.3806)
torch.Size([1, 808, 80]) tensor(0.0763) tensor(-7.4677)
torch.Size([1, 809, 80]) tensor(0.0737) tensor(-7.2684)
torch.Size([1, 810, 80]) tensor(0.0804) tensor(-7.1981)
torch.Size([1, 811, 80]) tensor(0.0769) tensor(-7.4105)
torch.Size([1, 812, 80]) tensor(0.0761) tensor(-7.0408)
torch.Size([1, 813, 80]) tensor(0.0793) tensor(-7.3426)
torch.Size([1, 814, 80]) tensor(0.0787) tensor(-7.2142)
torch.Size([1, 815, 80]) tensor(0.0754) tensor(-7.3642)
torch.Size([1, 816, 80]) tensor(0.0833) tensor(-7.4860)
torch.Size([1, 817, 80]) tensor(0.0812) tensor(-7.3498)
torch.Size([1, 818, 80]) tensor(0.0863) tensor(-7.4053)
torch.Size([1, 819, 80]) tensor(0.0874) tensor(-7.3506)
torch.Size([1, 820, 80]) tensor(0.0825) tensor(-7.1502)
torch.Size([1, 821, 80]) tensor(0.0837) tensor(-7.4166)
torch.Size([1, 822, 80]) tensor(0.0846) tensor(-7.4761)
torch.Size([1, 823, 80]) tensor(0.0583) tensor(-7.4391)
torch.Size([1, 824, 80]) tensor(0.0512) tensor(-7.4042)
torch.Size([1, 825, 80]) tensor(0.0486) tensor(-7.1204)
torch.Size([1, 826, 80]) tensor(0.0492) tensor(-7.3570)
torch.Size([1, 827, 80]) tensor(0.0319) tensor(-7.4434)
torch.Size([1, 828, 80]) tensor(0.0124) tensor(-7.5358)
torch.Size([1, 829, 80]) tensor(-0.0003) tensor(-7.3589)
torch.Size([1, 830, 80]) tensor(0.0071) tensor(-7.4899)
torch.Size([1, 831, 80]) tensor(0.0015) tensor(-7.0793)
torch.Size([1, 832, 80]) tensor(-0.0018) tensor(-7.2961)
torch.Size([1, 833, 80]) tensor(-0.0056) tensor(-7.3886)
torch.Size([1, 834, 80]) tensor(-0.0119) tensor(-7.1600)
torch.Size([1, 835, 80]) tensor(-0.0068) tensor(-7.1532)
torch.Size([1, 836, 80]) tensor(-0.0121) tensor(-7.2565)
torch.Size([1, 837, 80]) tensor(-0.0161) tensor(-6.5862)
torch.Size([1, 838, 80]) tensor(-0.0164) tensor(-6.0819)
torch.Size([1, 839, 80]) tensor(-0.0138) tensor(-7.4617)
torch.Size([1, 840, 80]) tensor(-0.0125) tensor(-7.3665)
torch.Size([1, 841, 80]) tensor(-0.0103) tensor(-6.3514)
torch.Size([1, 842, 80]) tensor(-0.0157) tensor(-7.0509)
torch.Size([1, 843, 80]) tensor(-0.0183) tensor(-7.3362)
torch.Size([1, 844, 80]) tensor(-0.0231) tensor(-7.4433)
torch.Size([1, 845, 80]) tensor(-0.0223) tensor(-6.8138)
torch.Size([1, 846, 80]) tensor(-0.0207) tensor(-7.3337)
torch.Size([1, 847, 80]) tensor(-0.0129) tensor(-7.4310)
torch.Size([1, 848, 80]) tensor(-0.0156) tensor(-7.3517)
torch.Size([1, 849, 80]) tensor(-0.0133) tensor(-7.3244)
torch.Size([1, 850, 80]) tensor(-0.0157) tensor(-7.3964)
torch.Size([1, 851, 80]) tensor(-0.0039) tensor(-7.3923)
torch.Size([1, 852, 80]) tensor(-0.0074) tensor(-7.2213)
torch.Size([1, 853, 80]) tensor(-0.0216) tensor(-7.3994)
torch.Size([1, 854, 80]) tensor(-0.0210) tensor(-7.4686)
torch.Size([1, 855, 80]) tensor(-0.0271) tensor(-7.2371)
torch.Size([1, 856, 80]) tensor(-0.0237) tensor(-7.3997)
torch.Size([1, 857, 80]) tensor(-0.0196) tensor(-7.3719)
torch.Size([1, 858, 80]) tensor(-0.0124) tensor(-7.0052)
torch.Size([1, 859, 80]) tensor(-0.0174) tensor(-6.3588)
torch.Size([1, 860, 80]) tensor(-0.0300) tensor(-6.9868)
torch.Size([1, 861, 80]) tensor(-0.0234) tensor(-7.4048)
torch.Size([1, 862, 80]) tensor(-0.0207) tensor(-7.1484)
torch.Size([1, 863, 80]) tensor(-0.0207) tensor(-7.2473)
torch.Size([1, 864, 80]) tensor(-0.0145) tensor(-7.3463)
torch.Size([1, 865, 80]) tensor(-0.0102) tensor(-7.3210)
torch.Size([1, 866, 80]) tensor(-0.0354) tensor(-7.3343)
torch.Size([1, 867, 80]) tensor(-0.0210) tensor(-7.1229)
torch.Size([1, 868, 80]) tensor(-0.0124) tensor(-7.2886)
torch.Size([1, 869, 80]) tensor(-0.0432) tensor(-6.9379)
torch.Size([1, 870, 80]) tensor(-0.0950) tensor(-7.2915)
torch.Size([1, 871, 80]) tensor(-0.2893) tensor(-7.5116)
torch.Size([1, 872, 80]) tensor(-1.1005) tensor(-7.2349)
torch.Size([1, 873, 80]) tensor(-19.1878) tensor(-7.4359)
torch.Size([1, 874, 80]) tensor(-16.6975) tensor(-2.5259)
torch.Size([1, 875, 80]) tensor(-13.3381) tensor(-1.4483)
torch.Size([1, 876, 80]) tensor(-11.6393) tensor(-0.4920)
torch.Size([1, 877, 80]) tensor(-11.0086) tensor(0.4460)
Output saved to /Users/kowal/Desktop/mimuw-projects/reformer-tts/output/pred-stdin-0.wav
reformer-tts on  predict-and-refactor-squeezewave [$?] via 🅒 reformer-tts took 33m 56s
➜ open output/pred-stdin-0.wav