

'''simple docstring'''



import unittest
from unittest import skip

from transformers import is_torch_available
from transformers.testing_utils import require_torch, slow
from transformers.trainer_utils import set_seed


if is_torch_available():
  import torch

  from transformers import JukeboxModel, JukeboxPrior, JukeboxTokenizer







@require_torch
class 		lowerCAmelCase__     (   unittest.TestCase      ):



 """simple docstring"""



 lowerCAmelCase__						      =   (JukeboxModel,) if is_torch_available() else ()
 lowerCAmelCase__						      =   "openai/jukebox-1b-lyrics"
 lowerCAmelCase__						      =   {
     "artist": "Zac Brown Band",
     "genres": "Country",
     "lyrics": "I met a traveller from an antique land,\n    Who said \"Two vast and trunkless legs of stone\n    Stand in the desert. . . . Near them, on the sand,\n    Half sunk a shattered visage lies, whose frown,\n    And wrinkled lip, and sneer of cold command,\n    Tell that its sculptor well those passions read\n    Which yet survive, stamped on these lifeless things,\n    The hand that mocked them, and the heart that fed;\n    And on the pedestal, these words appear:\n    My name is Ozymandias, King of Kings;\n    Look on my Works, ye Mighty, and despair!\n    Nothing beside remains. Round the decay\n    Of that colossal Wreck, boundless and bare\n    The lone and level sands stretch far away\n    ",
 }
 # fmt: off
 lowerCAmelCase__						      =   [
     1864, 1536, 1213, 1870, 1357, 1536, 519, 880, 1323, 789, 1082, 534,
     1000, 1445, 1105, 1130, 967, 515, 1434, 1620, 534, 1495, 283, 1445,
     333, 1307, 539, 1631, 1528, 375, 1434, 673, 627, 710, 778, 1883,
     1405, 1276, 1455, 1228
 ]

 lowerCAmelCase__						      =   [
     1489, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653
 ]

 lowerCAmelCase__						      =   [
     1125, 1751, 697, 1776, 1141, 1476, 391, 697, 1125, 684, 867, 416,
     844, 1372, 1274, 717, 1274, 844, 1299, 1419, 697, 1370, 317, 1125,
     191, 1440, 1370, 1440, 1370, 282, 1621, 1370, 368, 349, 867, 1872,
     1262, 869, 1728, 747
 ]
 lowerCAmelCase__						      =   [
     416, 416, 1125, 1125, 416, 416, 416, 416, 416, 416, 416, 416,
     416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
     416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
     416, 416, 416, 416
 ]

 lowerCAmelCase__						      =   [
     1755, 842, 307, 1843, 1022, 1395, 234, 1554, 806, 739, 1022, 442,
     616, 556, 268, 1499, 933, 457, 1440, 1837, 755, 985, 308, 902,
     293, 1443, 1671, 1141, 1533, 555, 1562, 1061, 287, 417, 1022, 2008,
     1186, 1015, 1777, 268
 ]
 lowerCAmelCase__						      =   [
     854, 842, 1353, 114, 1353, 842, 185, 842, 185, 114, 591, 842,
     185, 417, 185, 842, 307, 842, 591, 842, 185, 842, 307, 842,
     591, 842, 1353, 842, 185, 842, 591, 842, 591, 114, 591, 842,
     185, 842, 591, 89
 ]

 lowerCAmelCase__						      =   [1058304, 0, 786432, 7169, 507, 76, 27, 40, 30, 76]

 lowerCAmelCase__						      =   [
     390, 1160, 1002, 1907, 1788, 1788, 1788, 1907, 1002, 1002, 1854, 1002,
     1002, 1002, 1002, 1002, 1002, 1160, 1160, 1606, 596, 596, 1160, 1002,
     1516, 596, 1002, 1002, 1002, 1907, 1788, 1788, 1788, 1854, 1788, 1907,
     1907, 1788, 596, 1626
 ]
 lowerCAmelCase__						      =   [
     1236, 1668, 1484, 1920, 1848, 1409, 139, 864, 1828, 1272, 1599, 824,
     1672, 139, 555, 1484, 824, 1920, 555, 596, 1579, 1599, 1231, 1599,
     1637, 1407, 212, 824, 1599, 116, 1433, 824, 258, 1599, 1433, 1895,
     1063, 1433, 1433, 1599
 ]
 lowerCAmelCase__						      =   [
     1684, 1873, 1119, 1189, 395, 611, 1901, 972, 890, 1337, 1392, 1927,
     96, 972, 672, 780, 1119, 890, 158, 771, 1073, 1927, 353, 1331,
     1269, 1459, 1333, 1645, 812, 1577, 1337, 606, 353, 981, 1466, 619,
     197, 391, 302, 1930
 ]
 lowerCAmelCase__						      =   [
     390, 1160, 1002, 1907, 1788, 1788, 1788, 1907, 1002, 1002, 1854, 1002,
     1002, 1002, 1002, 1002, 1002, 1160, 1160, 1606, 596, 596, 1160, 1002,
     1516, 596, 1002, 1002, 1002, 1907, 1788, 1788, 1788, 1854, 1788, 1907,
     1907, 1788, 596, 1626
 ]
 lowerCAmelCase__						      =   [
     -0.04_92, -0.05_24, -0.05_65, -0.06_40, -0.06_86, -0.06_84, -0.06_77, -0.06_64,
     -0.06_05, -0.04_90, -0.03_30, -0.01_68, -0.00_83, -0.00_75, -0.00_51, 0.00_25,
     0.01_36, 0.02_61, 0.03_86, 0.04_97, 0.05_80, 0.05_99, 0.05_83, 0.06_14,
     0.07_40, 0.08_89, 0.10_23, 0.11_62, 0.12_11, 0.12_12, 0.12_51, 0.13_36,
     0.15_02, 0.16_86, 0.18_83, 0.21_48, 0.23_63, 0.24_58, 0.25_07, 0.25_31
 ]
 lowerCAmelCase__						      =   [
     0.02_56, -0.05_44, 0.16_00, -0.00_32, 0.10_66, 0.08_25, -0.00_13, 0.34_40,
     0.02_10, 0.04_12, -0.17_77, -0.08_92, -0.01_64, 0.02_85, -0.06_13, -0.06_17,
     -0.01_37, -0.02_01, -0.01_75, 0.02_15, -0.06_27, 0.05_20, -0.07_30, 0.09_70,
     -0.01_00, 0.04_42, -0.05_86, 0.02_07, -0.00_15, -0.00_82
 ]
 lowerCAmelCase__						      =   [
     0.04_15, 0.08_77, 0.00_22, -0.00_55, 0.07_51, 0.03_34, 0.03_24, -0.00_68,
     0.00_11, 0.00_17, -0.06_76, 0.06_55, -0.01_43, 0.03_99, 0.03_03, 0.07_43,
     -0.01_68, -0.03_94, -0.11_13, 0.01_24, 0.04_42, 0.02_67, -0.00_03, -0.15_36,
     -0.01_16, -0.18_37, -0.01_80, -0.10_26, -0.07_77, -0.04_56
 ]
 lowerCAmelCase__						      =   [
     76, 27, 40, 30, 76, 46, 44, 47, 40, 37, 38, 31, 45, 45, 76, 38, 31, 33,
     45, 76, 41, 32, 76, 45, 46, 41, 40, 31, 78, 76
 ]
 def    UpperCAmelCase__	(	self      : Dict    )						->				Any:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   JukeboxTokenizer.from_pretrained(self.model_id    )
      __SCREAMING_SNAKE_CASE						     =   tokenizer(**self.metas    )["""input_ids"""]
      return tokens
 @slow
 def    UpperCAmelCase__	(	self      : Union[str, Any]    )						->				str:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   JukeboxModel.from_pretrained(self.model_id      ,							min_duration=0    ).eval()
      __SCREAMING_SNAKE_CASE						     =   self.prepare_inputs()

      set_seed(0    )
      __SCREAMING_SNAKE_CASE						     =   [torch.zeros(1      ,							0      ,							dtype=torch.long    ).cpu() for _ in range(3    )]
      __SCREAMING_SNAKE_CASE						     =   model._sample(__SCREAMING_SNAKE_CASE      ,							__SCREAMING_SNAKE_CASE      ,							[0]      ,							sample_length=40 * model.priors[0].raw_to_tokens      ,							save_results=__SCREAMING_SNAKE_CASE    )
      self.assertIn(zs[0][0].detach().cpu().tolist()      ,							[self.EXPECTED_OUTPUT_2, self.EXPECTED_OUTPUT_2_PT_2]    )

      set_seed(0    )
      __SCREAMING_SNAKE_CASE						     =   model._sample(__SCREAMING_SNAKE_CASE      ,							__SCREAMING_SNAKE_CASE      ,							[1]      ,							sample_length=40 * model.priors[1].raw_to_tokens      ,							save_results=__SCREAMING_SNAKE_CASE    )
      self.assertIn(zs[1][0].detach().cpu().tolist()      ,							[self.EXPECTED_OUTPUT_1, self.EXPECTED_OUTPUT_1_PT_2]    )

      set_seed(0    )
      __SCREAMING_SNAKE_CASE						     =   model._sample(__SCREAMING_SNAKE_CASE      ,							__SCREAMING_SNAKE_CASE      ,							[2]      ,							sample_length=40 * model.priors[2].raw_to_tokens      ,							save_results=__SCREAMING_SNAKE_CASE    )
      self.assertIn(zs[2][0].detach().cpu().tolist()      ,							[self.EXPECTED_OUTPUT_0, self.EXPECTED_OUTPUT_0_PT_2]    )
 @slow
 def    UpperCAmelCase__	(	self      : Optional[Any]    )						->				List[Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   False
      __SCREAMING_SNAKE_CASE						     =   JukeboxModel.from_pretrained(self.model_id      ,							min_duration=0    ).eval()

      __SCREAMING_SNAKE_CASE						     =   self.prepare_inputs()
      set_seed(0    )
      __SCREAMING_SNAKE_CASE						     =   [torch.zeros(1      ,							0      ,							dtype=torch.long    ) for _ in range(3    )]

      __SCREAMING_SNAKE_CASE						     =   model.priors[0]
      __SCREAMING_SNAKE_CASE						     =   0
      __SCREAMING_SNAKE_CASE						     =   top_prior.get_music_tokens_conds(__SCREAMING_SNAKE_CASE      ,							start=__SCREAMING_SNAKE_CASE      ,							end=start + top_prior.n_ctx    )
      __SCREAMING_SNAKE_CASE						     =   top_prior.get_metadata(labels[0].clone()      ,							__SCREAMING_SNAKE_CASE      ,							1_058_304      ,							0    )

      self.assertIsNone(__SCREAMING_SNAKE_CASE    )
      self.assertListEqual(metadata.numpy()[0][:10].tolist()      ,							self.EXPECTED_Y_COND    )

      __SCREAMING_SNAKE_CASE     ,    __SCREAMING_SNAKE_CASE     ,    __SCREAMING_SNAKE_CASE						     =   top_prior.get_cond(__SCREAMING_SNAKE_CASE      ,							__SCREAMING_SNAKE_CASE    )
      torch.testing.assert_allclose(
          audio_conditioning[0][0][:30].detach()      ,							torch.tensor(self.EXPECTED_AUDIO_COND    )      ,							atol=1E-4      ,							rtol=1E-4    )
      torch.testing.assert_allclose(
          metadata_conditioning[0][0][:30].detach()      ,							torch.tensor(self.EXPECTED_META_COND    )      ,							atol=1E-4      ,							rtol=1E-4    )
      torch.testing.assert_allclose(
          lyric_tokens[0, :30].detach()      ,							torch.tensor(self.EXPECTED_LYRIC_COND    )      ,							atol=1E-4      ,							rtol=1E-4    )
 @slow
 def    UpperCAmelCase__	(	self      : Union[str, Any]    )						->				Optional[int]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   False

      __SCREAMING_SNAKE_CASE						     =   JukeboxModel.from_pretrained(self.model_id      ,							min_duration=0    ).eval()
      set_seed(0    )
      __SCREAMING_SNAKE_CASE						     =   torch.rand((1, 5_120, 1)    )
      __SCREAMING_SNAKE_CASE						     =   list(self.prepare_inputs()    )

      __SCREAMING_SNAKE_CASE						     =   [model.vqvae.encode(__SCREAMING_SNAKE_CASE      ,							start_level=2      ,							bs_chunks=waveform.shape[0]    )[0], None, None]
      __SCREAMING_SNAKE_CASE						     =   model._sample(
          __SCREAMING_SNAKE_CASE      ,							__SCREAMING_SNAKE_CASE      ,							sample_levels=[0]      ,							save_results=__SCREAMING_SNAKE_CASE      ,							sample_length=40 * model.priors[0].raw_to_tokens    )
      torch.testing.assert_allclose(zs[0][0][:40]      ,							torch.tensor(self.EXPECTED_PRIMED_0    )    )

      __SCREAMING_SNAKE_CASE						     =   torch.cat((zs[0], torch.zeros(1      ,							2_048 - zs[0].shape[-1]    ))      ,							dim=-1    ).long()
      __SCREAMING_SNAKE_CASE						     =   [upper_a, model.vqvae.encode(__SCREAMING_SNAKE_CASE      ,							start_level=1      ,							bs_chunks=waveform.shape[0]    )[0], None]
      __SCREAMING_SNAKE_CASE						     =   model._sample(
          __SCREAMING_SNAKE_CASE      ,							__SCREAMING_SNAKE_CASE      ,							sample_levels=[1]      ,							save_results=__SCREAMING_SNAKE_CASE      ,							sample_length=40 * model.priors[1].raw_to_tokens    )
      torch.testing.assert_allclose(zs[1][0][:40]      ,							torch.tensor(self.EXPECTED_PRIMED_1    )    )

      __SCREAMING_SNAKE_CASE						     =   torch.cat((zs[1], torch.zeros(1      ,							2_048 - zs[1].shape[-1]    ))      ,							dim=-1    ).long()
      __SCREAMING_SNAKE_CASE						     =   [upper_a, upper_a, model.vqvae.encode(__SCREAMING_SNAKE_CASE      ,							start_level=0      ,							bs_chunks=waveform.shape[0]    )[0]]
      __SCREAMING_SNAKE_CASE						     =   model._sample(
          __SCREAMING_SNAKE_CASE      ,							__SCREAMING_SNAKE_CASE      ,							sample_levels=[2]      ,							save_results=__SCREAMING_SNAKE_CASE      ,							sample_length=40 * model.priors[2].raw_to_tokens    )
      torch.testing.assert_allclose(zs[2][0][:40].cpu()      ,							torch.tensor(self.EXPECTED_PRIMED_2    )    )


 @slow
 def    UpperCAmelCase__	(	self      : Optional[Any]    )						->				Optional[int]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   JukeboxModel.from_pretrained(self.model_id      ,							min_duration=0    ).eval()
      set_seed(0    )
      __SCREAMING_SNAKE_CASE						     =   torch.rand((1, 5_120, 1)    )
      with torch.no_grad():
           __SCREAMING_SNAKE_CASE						     =   model.vqvae.encode(__SCREAMING_SNAKE_CASE      ,							start_level=2      ,							bs_chunks=x.shape[0]    )
      torch.testing.assert_allclose(zs[0][0]      ,							torch.tensor(self.EXPECTED_VQVAE_ENCODE    )    )

      with torch.no_grad():
           __SCREAMING_SNAKE_CASE						     =   model.vqvae.decode(__SCREAMING_SNAKE_CASE      ,							start_level=2      ,							bs_chunks=x.shape[0]    )
      torch.testing.assert_allclose(x[0, :40, 0]      ,							torch.tensor(self.EXPECTED_VQVAE_DECODE    )      ,							atol=1E-4      ,							rtol=1E-4    )







@require_torch
class 		lowerCAmelCase__     (   unittest.TestCase      ):



 """simple docstring"""



 lowerCAmelCase__						      =   (JukeboxModel,) if is_torch_available() else ()
 lowerCAmelCase__						      =   "openai/jukebox-5b-lyrics"
 lowerCAmelCase__						      =   {
     "artist": "Zac Brown Band",
     "genres": "Country",
     "lyrics": "I met a traveller from an antique land,\n    Who said \"Two vast and trunkless legs of stone\n    Stand in the desert. . . . Near them, on the sand,\n    Half sunk a shattered visage lies, whose frown,\n    And wrinkled lip, and sneer of cold command,\n    Tell that its sculptor well those passions read\n    Which yet survive, stamped on these lifeless things,\n    The hand that mocked them, and the heart that fed;\n    And on the pedestal, these words appear:\n    My name is Ozymandias, King of Kings;\n    Look on my Works, ye Mighty, and despair!\n    Nothing beside remains. Round the decay\n    Of that colossal Wreck, boundless and bare\n    The lone and level sands stretch far away\n    ",
 }

 # fmt: off
 lowerCAmelCase__						      =   [
     1489, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     1489, 1489, 1489, 1489, 1150, 1853, 1509, 1150, 1357, 1509, 6, 1272
 ]
 lowerCAmelCase__						      =   [
     1489, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653
 ]

 lowerCAmelCase__						      =   [
     1125, 416, 1125, 1125, 1125, 1125, 1125, 416, 416, 416, 416, 416,
     416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
     416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
     416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
     416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416
 ]
 lowerCAmelCase__						      =   [
     416, 416, 1125, 1125, 416, 416, 416, 416, 416, 416, 416, 416, 416,
     416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
     416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
     416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
     416, 416, 416, 416, 416, 416, 416, 416
 ]

 lowerCAmelCase__						      =   [
     1755, 1061, 234, 1755, 1061, 1755, 185, 290, 307, 307, 616, 616,
     616, 616, 616, 616, 307, 290, 417, 1755, 234, 1755, 185, 290,
     290, 290, 307, 616, 616, 616, 616, 616, 290, 234, 234, 1755,
     234, 234, 1755, 234, 185, 185, 307, 616, 616, 616, 616, 290,
     1755, 1755, 1755, 234, 234, 1755, 1572, 290, 307, 616, 34, 616
 ]
 lowerCAmelCase__						      =   [
     854, 842, 1353, 114, 1353, 842, 185, 842, 185, 114, 591, 842, 185,
     417, 185, 842, 307, 842, 591, 842, 185, 842, 185, 842, 591, 842,
     1353, 842, 185, 842, 591, 842, 591, 114, 591, 842, 185, 842, 591,
     89, 591, 842, 591, 842, 591, 417, 1372, 842, 1372, 842, 34, 842,
     185, 89, 591, 842, 185, 842, 591, 632
 ]

 lowerCAmelCase__						      =   [
     1489, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653
 ]
 lowerCAmelCase__						      =   [
     1489, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653, 653,
     653, 653, 653, 653, 653, 653, 653, 1853, 1177, 1536, 1228,
     710, 475, 1489, 1229, 1224, 231, 1224, 252, 1434, 653, 475,
     1106, 1877, 1599, 1228, 1600, 1683, 1182, 1853, 475, 1864,
     252, 1229, 1434, 2001
 ]

 lowerCAmelCase__						      =   [
     1125, 1125, 416, 1125, 1125, 416, 1125, 1125, 416, 416, 1125, 416,
     416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
     416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
     416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416,
     416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416, 416
 ]
 lowerCAmelCase__						      =   [
     491, 1755, 34, 1613, 1755, 417, 992, 1613, 222, 842, 1353, 1613,
     844, 632, 185, 1613, 844, 632, 185, 1613, 185, 842, 677, 1613,
     185, 114, 1353, 1613, 307, 89, 844, 1613, 307, 1332, 234, 1979,
     307, 89, 1353, 616, 34, 842, 185, 842, 34, 842, 185, 842,
     307, 114, 185, 89, 34, 1268, 185, 89, 34, 842, 185, 89
 ]
 def    UpperCAmelCase__	(	self      : List[Any]      ,							__SCREAMING_SNAKE_CASE      : Union[str, Any]    )						->				List[str]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   JukeboxTokenizer.from_pretrained(__SCREAMING_SNAKE_CASE    )
      __SCREAMING_SNAKE_CASE						     =   tokenizer(**self.metas    )["""input_ids"""]
      return tokens
 @slow
 def    UpperCAmelCase__	(	self      : Dict    )						->				Tuple:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   JukeboxModel.from_pretrained(self.model_id      ,							min_duration=0    ).eval()
      __SCREAMING_SNAKE_CASE						     =   self.prepare_inputs(self.model_id    )

      set_seed(0    )
      __SCREAMING_SNAKE_CASE						     =   [torch.zeros(1      ,							0      ,							dtype=torch.long    ).cpu() for _ in range(3    )]
      __SCREAMING_SNAKE_CASE						     =   model._sample(__SCREAMING_SNAKE_CASE      ,							__SCREAMING_SNAKE_CASE      ,							[0]      ,							sample_length=60 * model.priors[0].raw_to_tokens      ,							save_results=__SCREAMING_SNAKE_CASE    )
      self.assertIn(zs[0][0].detach().cpu().tolist()      ,							[self.EXPECTED_OUTPUT_2, self.EXPECTED_OUTPUT_2_PT_2]    )

      set_seed(0    )
      __SCREAMING_SNAKE_CASE						     =   model._sample(__SCREAMING_SNAKE_CASE      ,							__SCREAMING_SNAKE_CASE      ,							[1]      ,							sample_length=60 * model.priors[1].raw_to_tokens      ,							save_results=__SCREAMING_SNAKE_CASE    )
      self.assertIn(zs[1][0].detach().cpu().tolist()      ,							[self.EXPECTED_OUTPUT_1, self.EXPECTED_OUTPUT_1_PT_2]    )

      set_seed(0    )
      __SCREAMING_SNAKE_CASE						     =   model._sample(__SCREAMING_SNAKE_CASE      ,							__SCREAMING_SNAKE_CASE      ,							[2]      ,							sample_length=60 * model.priors[2].raw_to_tokens      ,							save_results=__SCREAMING_SNAKE_CASE    )
      self.assertIn(zs[2][0].detach().cpu().tolist()      ,							[self.EXPECTED_OUTPUT_0, self.EXPECTED_OUTPUT_0_PT_2]    )
 @slow
 @skip("""Not enough GPU memory on CI runners"""    )
 def    UpperCAmelCase__	(	self      : Tuple    )						->				List[Any]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   JukeboxModel.from_pretrained(self.model_id      ,							min_duration=0    ).eval()
      __SCREAMING_SNAKE_CASE						     =   [i.cuda() for i in self.prepare_inputs(self.model_id    )]

      set_seed(0    )
      model.priors[0].cuda()
      __SCREAMING_SNAKE_CASE						     =   [torch.zeros(1      ,							0      ,							dtype=torch.long    ).cuda() for _ in range(3    )]
      __SCREAMING_SNAKE_CASE						     =   model._sample(__SCREAMING_SNAKE_CASE      ,							__SCREAMING_SNAKE_CASE      ,							[0]      ,							sample_length=60 * model.priors[0].raw_to_tokens      ,							save_results=__SCREAMING_SNAKE_CASE    )
      torch.testing.assert_allclose(zs[0][0].cpu()      ,							torch.tensor(self.EXPECTED_GPU_OUTPUTS_2    )    )
      model.priors[0].cpu()

      set_seed(0    )
      model.priors[1].cuda()
      __SCREAMING_SNAKE_CASE						     =   model._sample(__SCREAMING_SNAKE_CASE      ,							__SCREAMING_SNAKE_CASE      ,							[1]      ,							sample_length=60 * model.priors[1].raw_to_tokens      ,							save_results=__SCREAMING_SNAKE_CASE    )
      torch.testing.assert_allclose(zs[1][0].cpu()      ,							torch.tensor(self.EXPECTED_GPU_OUTPUTS_1    )    )
      model.priors[1].cpu()

      set_seed(0    )
      model.priors[2].cuda()
      __SCREAMING_SNAKE_CASE						     =   model._sample(__SCREAMING_SNAKE_CASE      ,							__SCREAMING_SNAKE_CASE      ,							[2]      ,							sample_length=60 * model.priors[2].raw_to_tokens      ,							save_results=__SCREAMING_SNAKE_CASE    )
      torch.testing.assert_allclose(zs[2][0].cpu()      ,							torch.tensor(self.EXPECTED_GPU_OUTPUTS_0    )    )


 @slow
 def    UpperCAmelCase__	(	self      : Any    )						->				Any:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE						     =   """ArthurZ/jukebox_prior_0"""
      __SCREAMING_SNAKE_CASE						     =   JukeboxPrior.from_pretrained(__SCREAMING_SNAKE_CASE      ,							min_duration=0    ).eval().half().to("""cuda"""    )

      __SCREAMING_SNAKE_CASE						     =   self.prepare_inputs(__SCREAMING_SNAKE_CASE    )[0].cuda()
      __SCREAMING_SNAKE_CASE						     =   model.get_metadata(__SCREAMING_SNAKE_CASE      ,							0      ,							7_680      ,							0    )
      set_seed(0    )
      __SCREAMING_SNAKE_CASE						     =   model.sample(1      ,							metadata=__SCREAMING_SNAKE_CASE      ,							sample_tokens=60    )
      self.assertIn(outputs[0].cpu().tolist()      ,							[self.EXPECTED_GPU_OUTPUTS_2, self.EXPECTED_GPU_OUTPUTS_2_PT_2]    )









'''simple docstring'''



from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase				: Union[str, Any]         =  logging.get_logger(__name__)

UpperCAmelCase				: Optional[int]         =  {
    'bert-base-uncased': 'https://huggingface.co/bert-base-uncased/resolve/main/config.json',
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}







class 		lowerCAmelCase__     (   a      ):



 """simple docstring"""



 lowerCAmelCase__						      =   "qdqbert"
 def __init__(	self      : str      ,							__SCREAMING_SNAKE_CASE      : Optional[int]=30_522      ,							__SCREAMING_SNAKE_CASE      : str=768      ,							__SCREAMING_SNAKE_CASE      : Union[str, Any]=12      ,							__SCREAMING_SNAKE_CASE      : Any=12      ,							__SCREAMING_SNAKE_CASE      : Any=3_072      ,							__SCREAMING_SNAKE_CASE      : List[str]="gelu"      ,							__SCREAMING_SNAKE_CASE      : Any=0.1      ,							__SCREAMING_SNAKE_CASE      : Any=0.1      ,							__SCREAMING_SNAKE_CASE      : Optional[int]=512      ,							__SCREAMING_SNAKE_CASE      : List[str]=2      ,							__SCREAMING_SNAKE_CASE      : Dict=0.02      ,							__SCREAMING_SNAKE_CASE      : List[str]=1E-12      ,							__SCREAMING_SNAKE_CASE      : str=True      ,							__SCREAMING_SNAKE_CASE      : Optional[int]=1      ,							__SCREAMING_SNAKE_CASE      : Optional[int]=0      ,							__SCREAMING_SNAKE_CASE      : Dict=2      ,							**__SCREAMING_SNAKE_CASE      : Union[str, Any]      ,							)						->				str:


      """simple docstring"""




      super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE      ,							bos_token_id=__SCREAMING_SNAKE_CASE      ,							eos_token_id=__SCREAMING_SNAKE_CASE      ,							**__SCREAMING_SNAKE_CASE    )

      __SCREAMING_SNAKE_CASE						     =   vocab_size
      __SCREAMING_SNAKE_CASE						     =   max_position_embeddings
      __SCREAMING_SNAKE_CASE						     =   hidden_size
      __SCREAMING_SNAKE_CASE						     =   num_hidden_layers
      __SCREAMING_SNAKE_CASE						     =   num_attention_heads
      __SCREAMING_SNAKE_CASE						     =   intermediate_size
      __SCREAMING_SNAKE_CASE						     =   hidden_act
      __SCREAMING_SNAKE_CASE						     =   hidden_dropout_prob
      __SCREAMING_SNAKE_CASE						     =   attention_probs_dropout_prob
      __SCREAMING_SNAKE_CASE						     =   initializer_range
      __SCREAMING_SNAKE_CASE						     =   type_vocab_size
      __SCREAMING_SNAKE_CASE						     =   layer_norm_eps
      __SCREAMING_SNAKE_CASE						     =   use_cache






