
import torch
from torch import nn
from transformers import CLIPPreTrainedModel, CLIPVisionModel

from ...models.attention import BasicTransformerBlock
from ...utils import logging


__A				=logging.get_logger(__name__)  # pylint: disable=invalid-name




class     _SCREAMING_SNAKE_CASE     (      snake_case_						):



	def __init__(    self						,  lowercase						,  lowercase=768 )				->       Optional[int]:
					super().__init__(lowercase )
					lowerCamelCase_						=			proj_size

					lowerCamelCase_						=			CLIPVisionModel(lowercase )
					lowerCamelCase_						=			PaintByExampleMapper(lowercase )
					lowerCamelCase_						=			nn.LayerNorm(config.hidden_size )
					lowerCamelCase_						=			nn.Linear(config.hidden_size						,  self.proj_size )

					# uncondition for scaling
					lowerCamelCase_						=			nn.Parameter(torch.randn((1, 1, self.proj_size) ) )



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase						,  lowercase=False )				->       List[Any]:
					lowerCamelCase_						=			self.model(pixel_values=lowercase )
					lowerCamelCase_						=			clip_output.pooler_output
					lowerCamelCase_						=			self.mapper(latent_states[:, None] )
					lowerCamelCase_						=			self.final_layer_norm(lowercase )
					lowerCamelCase_						=			self.proj_out(lowercase )
					if return_uncond_vector:
									return latent_states, self.uncond_vector

					return latent_states




class     _SCREAMING_SNAKE_CASE     (      nn.Module						):



	def __init__(    self						,  lowercase )				->       Any:
					super().__init__()
					lowerCamelCase_						=			(config.num_hidden_layers + 1) // 5
					lowerCamelCase_						=			config.hidden_size
					lowerCamelCase_						=			1
					lowerCamelCase_						=			nn.ModuleList(
					    [
					        BasicTransformerBlock(lowercase						,  lowercase						,  lowercase						,  activation_fn="gelu"						,  attention_bias=lowercase )
					        for _ in range(lowercase )
					    ] )



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase )				->       Tuple:
					for block in self.blocks:
									lowerCamelCase_						=			block(lowercase )

					return hidden_states




from abc import ABC, abstractmethod
from argparse import ArgumentParser




class     _SCREAMING_SNAKE_CASE     (      snake_case_						):



	@staticmethod
	@abstractmethod
	def     SCREAMING_SNAKE_CASE_(    lowercase )				->       int:
					raise NotImplementedError()



	@abstractmethod
	def     SCREAMING_SNAKE_CASE_(    self )				->       Union[str, Any]:
					raise NotImplementedError()


