





'''simple docstring'''

import unittest

import torch

from diffusers import DDIMScheduler, DDPMScheduler, UNetaDModel
from diffusers.training_utils import set_seed
from diffusers.utils.testing_utils import slow


lowercase__						:      str	=    False
class     __lowerCAmelCase					(   unittest.TestCase			):






       """simple docstring"""





       def snake_case__						(							self       :		Union[str, Any]	,			lowerCAmelCase__       :		List[Any]=32					)   ->					List[str]:

            '''simple docstring'''




            set_seed(0					)
            _UpperCamelCase       =	UNetaDModel(sample_size=lowerCAmelCase_	,			in_channels=3	,			out_channels=3					)
            _UpperCamelCase       =	torch.optim.SGD(model.parameters()	,			lr=0.0001					)
            return model, optimizer







       @slow
       def snake_case__						(							self       :		List[str]					)   ->					Dict:

            '''simple docstring'''




            _UpperCamelCase       =	'''cpu'''  # ensure full determinism without setting the CUBLAS_WORKSPACE_CONFIG env variable
            _UpperCamelCase       =	DDPMScheduler(
                num_train_timesteps=1000	,			beta_start=0.0001	,			beta_end=0.02	,			beta_schedule='''linear'''	,			clip_sample=lowerCAmelCase_	,			)
            _UpperCamelCase       =	DDIMScheduler(
                num_train_timesteps=1000	,			beta_start=0.0001	,			beta_end=0.02	,			beta_schedule='''linear'''	,			clip_sample=lowerCAmelCase_	,			)

            assert ddpm_scheduler.config.num_train_timesteps == ddim_scheduler.config.num_train_timesteps

            # shared batches for DDPM and DDIM
            set_seed(0					)
            _UpperCamelCase       =	[torch.randn((4, 3, 32, 32)					).clip(-1	,			1					).to(lowerCAmelCase_					) for _ in range(4					)]
            _UpperCamelCase       =	[torch.randn((4, 3, 32, 32)					).to(lowerCAmelCase_					) for _ in range(4					)]
            _UpperCamelCase       =	[torch.randint(0	,			1000	,			(4,)					).long().to(lowerCAmelCase_					) for _ in range(4					)]

            # train with a DDPM scheduler
            _UpperCamelCase   ,    _UpperCamelCase       =	self.get_model_optimizer(resolution=32					)
            model.train().to(lowerCAmelCase_					)
            for i in range(4					):
                 optimizer.zero_grad()
                 _UpperCamelCase       =	ddpm_scheduler.add_noise(clean_images[i]	,			noise[i]	,			timesteps[i]					)
                 _UpperCamelCase       =	model(lowerCAmelCase_	,			timesteps[i]					).sample
                 _UpperCamelCase       =	torch.nn.functional.mse_loss(lowerCAmelCase_	,			noise[i]					)
                 loss.backward()
                 optimizer.step()
            del model, optimizer

            # recreate the model and optimizer, and retry with DDIM
            _UpperCamelCase   ,    _UpperCamelCase       =	self.get_model_optimizer(resolution=32					)
            model.train().to(lowerCAmelCase_					)
            for i in range(4					):
                 optimizer.zero_grad()
                 _UpperCamelCase       =	ddim_scheduler.add_noise(clean_images[i]	,			noise[i]	,			timesteps[i]					)
                 _UpperCamelCase       =	model(lowerCAmelCase_	,			timesteps[i]					).sample
                 _UpperCamelCase       =	torch.nn.functional.mse_loss(lowerCAmelCase_	,			noise[i]					)
                 loss.backward()
                 optimizer.step()
            del model, optimizer

            self.assertTrue(torch.allclose(lowerCAmelCase_	,			lowerCAmelCase_	,			atol=1e-5					)					)
            self.assertTrue(torch.allclose(lowerCAmelCase_	,			lowerCAmelCase_	,			atol=1e-5					)					)













'''simple docstring'''

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


lowercase__						:      Optional[Any]	=    logging.get_logger(__name__)

lowercase__						:      List[Any]	=    {
    'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/config.json',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}
class     __lowerCAmelCase					(   __magic_name__			):






       """simple docstring"""
       _snake_case     :					Union[str, Any]						    =   'biogpt'





       def __init__(							self       :		Optional[Any]	,			lowerCAmelCase__       :		List[str]=42384	,			lowerCAmelCase__       :		Optional[int]=1024	,			lowerCAmelCase__       :		List[str]=24	,			lowerCAmelCase__       :		List[Any]=16	,			lowerCAmelCase__       :		Optional[int]=4096	,			lowerCAmelCase__       :		Optional[int]="gelu"	,			lowerCAmelCase__       :		Optional[Any]=0.1	,			lowerCAmelCase__       :		Optional[int]=0.1	,			lowerCAmelCase__       :		Union[str, Any]=1024	,			lowerCAmelCase__       :		List[str]=0.02	,			lowerCAmelCase__       :		Tuple=1e-1_2	,			lowerCAmelCase__       :		Dict=True	,			lowerCAmelCase__       :		Tuple=True	,			lowerCAmelCase__       :		Dict=0.0	,			lowerCAmelCase__       :		Union[str, Any]=0.0	,			lowerCAmelCase__       :		Optional[int]=1	,			lowerCAmelCase__       :		Union[str, Any]=0	,			lowerCAmelCase__       :		Optional[Any]=2	,			**lowerCAmelCase__       :		Optional[Any]	,			)   ->					Tuple:

            '''simple docstring'''




            _UpperCamelCase       =	vocab_size
            _UpperCamelCase       =	max_position_embeddings
            _UpperCamelCase       =	hidden_size
            _UpperCamelCase       =	num_hidden_layers
            _UpperCamelCase       =	num_attention_heads
            _UpperCamelCase       =	intermediate_size
            _UpperCamelCase       =	hidden_act
            _UpperCamelCase       =	hidden_dropout_prob
            _UpperCamelCase       =	attention_probs_dropout_prob
            _UpperCamelCase       =	initializer_range
            _UpperCamelCase       =	layer_norm_eps
            _UpperCamelCase       =	scale_embedding
            _UpperCamelCase       =	use_cache
            _UpperCamelCase       =	layerdrop
            _UpperCamelCase       =	activation_dropout
            super().__init__(pad_token_id=lowerCAmelCase__	,			bos_token_id=lowerCAmelCase__	,			eos_token_id=lowerCAmelCase__	,			**lowerCAmelCase__					)



