


"""simple docstring"""

import torch
import torch.nn as nn
from transformers.modeling_utils import ModuleUtilsMixin
from transformers.models.ta.modeling_ta import TaBlock, TaConfig, TaLayerNorm

from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin





class    lowerCamelCase__						(		SCREAMING_SNAKE_CASE__			,   SCREAMING_SNAKE_CASE__			,   SCREAMING_SNAKE_CASE__    ):
      @register_to_config
      def __init__(		self	:	Optional[Any]      ,       A_	:	Any      ,       A_	:	List[str]      ,       A_	:	Any      ,       A_	:	Optional[Any]      ,       A_	:	Any      ,       A_	:	Optional[Any]      ,       A_	:	Optional[int]      ,       A_	:	Tuple      ,       A_	:	Dict      ,       A_	:	Optional[int] = False      ,       ):






       '''simple docstring'''


       super().__init__()

       __lowercase									=	nn.Embedding(_lowercase      ,       _lowercase							)

       __lowercase									=	nn.Embedding(_lowercase      ,       _lowercase							)
       __lowercase									=	False

       __lowercase									=	nn.Dropout(p=_lowercase							)

       __lowercase									=	TaConfig(
           vocab_size=_lowercase      ,       d_model=_lowercase      ,       num_heads=_lowercase      ,       d_kv=_lowercase      ,       d_ff=_lowercase      ,       dropout_rate=_lowercase      ,       feed_forward_proj=_lowercase      ,       is_decoder=_lowercase      ,       is_encoder_decoder=_lowercase      ,       )

       __lowercase									=	nn.ModuleList()
       for lyr_num in range(_lowercase							):
        __lowercase									=	TaBlock(_lowercase							)
        self.encoders.append(_lowercase							)

       __lowercase									=	TaLayerNorm(_lowercase							)
       __lowercase									=	nn.Dropout(p=_lowercase							)






      def SCREAMING_SNAKE_CASE_	(		self	:	Optional[int]      ,       A_	:	Any      ,       A_	:	Dict							):






       '''simple docstring'''


       __lowercase									=	self.token_embedder(_lowercase							)

       __lowercase									=	encoder_input_tokens.shape[1]
       __lowercase									=	torch.arange(_lowercase      ,       device=encoder_input_tokens.device							)
       x += self.position_encoding(_lowercase							)

       __lowercase									=	self.dropout_pre(_lowercase							)

       # inverted the attention mask
       __lowercase									=	encoder_input_tokens.size()
       __lowercase									=	self.get_extended_attention_mask(_lowercase      ,       _lowercase							)

       for lyr in self.encoders:
        __lowercase									=	lyr(_lowercase      ,       _lowercase							)[0]
       __lowercase									=	self.layer_norm(_lowercase							)

       return self.dropout_post(_lowercase							), encoder_inputs_mask




"""simple docstring"""

import inspect
import unittest





class    lowerCamelCase__						(		unittest.TestCase    ):
      def SCREAMING_SNAKE_CASE_	(		self	:	int							):






       '''simple docstring'''


       try:
        import diffusers  # noqa: F401
       except ImportError:
        assert False






      def SCREAMING_SNAKE_CASE_	(		self	:	Optional[Any]							):






       '''simple docstring'''


       import diffusers
       from diffusers.dependency_versions_table import deps

       __lowercase									=	inspect.getmembers(A_      ,       inspect.isclass							)

       for cls_name, cls_module in all_classes:
        if "dummy_" in cls_module.__module__:
         for backend in cls_module._backends:
          if backend == "k_diffusion":
           __lowercase									=	"""k-diffusion"""
          elif backend == "invisible_watermark":
           __lowercase									=	"""invisible-watermark"""
          assert backend in deps, F'''{backend} is not in the deps table!'''
