





'''simple docstring'''


_SCREAMING_SNAKE_CASE	 =							frozenset(
    [
        "prompt",
        "height",
        "width",
        "guidance_scale",
        "negative_prompt",
        "prompt_embeds",
        "negative_prompt_embeds",
        "cross_attention_kwargs",
    ]
)

_SCREAMING_SNAKE_CASE	 =							frozenset(["prompt", "negative_prompt"])

_SCREAMING_SNAKE_CASE	 =							frozenset([])

_SCREAMING_SNAKE_CASE	 =							frozenset(["image"])

_SCREAMING_SNAKE_CASE	 =							frozenset(
    [
        "image",
        "height",
        "width",
        "guidance_scale",
    ]
)

_SCREAMING_SNAKE_CASE	 =							frozenset(["image"])

_SCREAMING_SNAKE_CASE	 =							frozenset(
    [
        "prompt",
        "image",
        "height",
        "width",
        "guidance_scale",
        "negative_prompt",
        "prompt_embeds",
        "negative_prompt_embeds",
    ]
)

_SCREAMING_SNAKE_CASE	 =							frozenset(["prompt", "image", "negative_prompt"])

_SCREAMING_SNAKE_CASE	 =							frozenset(
    [
        # Text guided image variation with an image mask
        "prompt",
        "image",
        "mask_image",
        "height",
        "width",
        "guidance_scale",
        "negative_prompt",
        "prompt_embeds",
        "negative_prompt_embeds",
    ]
)

_SCREAMING_SNAKE_CASE	 =							frozenset(["prompt", "image", "mask_image", "negative_prompt"])

_SCREAMING_SNAKE_CASE	 =							frozenset(
    [
        # image variation with an image mask
        "image",
        "mask_image",
        "height",
        "width",
        "guidance_scale",
    ]
)

_SCREAMING_SNAKE_CASE	 =							frozenset(["image", "mask_image"])

_SCREAMING_SNAKE_CASE	 =							frozenset(
    [
        "example_image",
        "image",
        "mask_image",
        "height",
        "width",
        "guidance_scale",
    ]
)

_SCREAMING_SNAKE_CASE	 =							frozenset(["example_image", "image", "mask_image"])

_SCREAMING_SNAKE_CASE	 =							frozenset(["class_labels"])

_SCREAMING_SNAKE_CASE	 =							frozenset(["class_labels"])

_SCREAMING_SNAKE_CASE	 =							frozenset(["batch_size"])

_SCREAMING_SNAKE_CASE	 =							frozenset([])

_SCREAMING_SNAKE_CASE	 =							frozenset(["batch_size"])

_SCREAMING_SNAKE_CASE	 =							frozenset([])

_SCREAMING_SNAKE_CASE	 =							frozenset(
    [
        "prompt",
        "audio_length_in_s",
        "guidance_scale",
        "negative_prompt",
        "prompt_embeds",
        "negative_prompt_embeds",
        "cross_attention_kwargs",
    ]
)

_SCREAMING_SNAKE_CASE	 =							frozenset(["prompt", "negative_prompt"])
_SCREAMING_SNAKE_CASE	 =							frozenset(["input_tokens"])

_SCREAMING_SNAKE_CASE	 =							frozenset(["input_tokens"])









'''simple docstring'''


from ...configuration_utils import PretrainedConfig

class    lowerCAmelCase_		(		__magic_name__		):
 __lowerCamelCase						:							List[str]         =					"bert-generation"




 def __init__(	self			,     _lowerCAmelCase=50358			,     _lowerCAmelCase=1024			,     _lowerCAmelCase=24			,     _lowerCAmelCase=16			,     _lowerCAmelCase=4096			,     _lowerCAmelCase="gelu"			,     _lowerCAmelCase=0.1			,     _lowerCAmelCase=0.1			,     _lowerCAmelCase=512			,     _lowerCAmelCase=0.02			,     _lowerCAmelCase=1E-12			,     _lowerCAmelCase=0			,     _lowerCAmelCase=2			,     _lowerCAmelCase=1			,     _lowerCAmelCase="absolute"			,     _lowerCAmelCase=True			,     **_lowerCAmelCase			,     )    ->							Tuple:
     super().__init__(pad_token_id=_lowerCAmelCase			,     bos_token_id=_lowerCAmelCase			,     eos_token_id=_lowerCAmelCase			,     **_lowerCAmelCase		)

     _lowerCAmelCase				=      vocab_size
     _lowerCAmelCase				=      hidden_size
     _lowerCAmelCase				=      num_hidden_layers
     _lowerCAmelCase				=      num_attention_heads
     _lowerCAmelCase				=      hidden_act
     _lowerCAmelCase				=      intermediate_size
     _lowerCAmelCase				=      hidden_dropout_prob
     _lowerCAmelCase				=      attention_probs_dropout_prob
     _lowerCAmelCase				=      max_position_embeddings
     _lowerCAmelCase				=      initializer_range
     _lowerCAmelCase				=      layer_norm_eps
     _lowerCAmelCase				=      position_embedding_type
     _lowerCAmelCase				=      use_cache


