




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowercase__				:     List[str] 		=						{
    "configuration_blenderbot": [
        "BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotConfig",
        "BlenderbotOnnxConfig",
    ],
    "tokenization_blenderbot": ["BlenderbotTokenizer"],
}

try:
		if not is_tokenizers_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase__				:     List[str] 		=						["BlenderbotTokenizerFast"]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase__				:     Union[str, Any] 		=						[
		    "BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST",
		    "BlenderbotForCausalLM",
		    "BlenderbotForConditionalGeneration",
		    "BlenderbotModel",
		    "BlenderbotPreTrainedModel",
		]


try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase__				:     List[str] 		=						[
		    "TFBlenderbotForConditionalGeneration",
		    "TFBlenderbotModel",
		    "TFBlenderbotPreTrainedModel",
		]


try:
		if not is_flax_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowercase__				:     Optional[Any] 		=						[
		    "FlaxBlenderbotForConditionalGeneration",
		    "FlaxBlenderbotModel",
		    "FlaxBlenderbotPreTrainedModel",
		]


if TYPE_CHECKING:
		from .configuration_blenderbot import (
		    BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    BlenderbotConfig,
		    BlenderbotOnnxConfig,
		)
		from .tokenization_blenderbot import BlenderbotTokenizer

		try:
				if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_blenderbot_fast import BlenderbotTokenizerFast

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_blenderbot import (
				    BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BlenderbotForCausalLM,
				    BlenderbotForConditionalGeneration,
				    BlenderbotModel,
				    BlenderbotPreTrainedModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_blenderbot import (
				    TFBlenderbotForConditionalGeneration,
				    TFBlenderbotModel,
				    TFBlenderbotPreTrainedModel,
				)

		try:
				if not is_flax_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_flax_blenderbot import (
				    FlaxBlenderbotForConditionalGeneration,
				    FlaxBlenderbotModel,
				    FlaxBlenderbotPreTrainedModel,
				)

else:
		import sys

		lowercase__				:     Tuple 		=						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






from torch import nn


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	if act_fn in ["swish", "silu"]:
		return nn.SiLU()
	elif act_fn == "mish":
		return nn.Mish()
	elif act_fn == "gelu":
		return nn.GELU()
	else:
		raise ValueError(f"Unsupported activation function: {act_fn}"							)
