
"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfigWithPast
from ...utils import logging


__A 		= logging.get_logger(__name__)

__A 		= {
    """uclanlp/plbart-base""": """https://huggingface.co/uclanlp/plbart-base/resolve/main/config.json""",
    # See all PLBART models at https://huggingface.co/models?filter=plbart
}







class 	lowerCamelCase__      (      lowerCAmelCase_       ):





			'''simple docstring'''
			lowerCamelCase						      =	"""plbart"""
			lowerCamelCase						      =	["""past_key_values"""]
			lowerCamelCase						      =	{"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}



			def __init__(							self  ,  __UpperCAmelCase=5_00_05  ,  __UpperCAmelCase=10_24  ,  __UpperCAmelCase=6  ,  __UpperCAmelCase=30_72  ,  __UpperCAmelCase=12  ,  __UpperCAmelCase=6  ,  __UpperCAmelCase=30_72  ,  __UpperCAmelCase=12  ,  __UpperCAmelCase=0.0  ,  __UpperCAmelCase=0.0  ,  __UpperCAmelCase=True  ,  __UpperCAmelCase=True  ,  __UpperCAmelCase="gelu"  ,  __UpperCAmelCase=7_68  ,  __UpperCAmelCase=0.1  ,  __UpperCAmelCase=0.1  ,  __UpperCAmelCase=0.0  ,  __UpperCAmelCase=0.0_2  ,  __UpperCAmelCase=0.0  ,  __UpperCAmelCase=True  ,  __UpperCAmelCase=1  ,  __UpperCAmelCase=0  ,  __UpperCAmelCase=2  ,  __UpperCAmelCase=2  ,  **__UpperCAmelCase  ,  )				->  str:
				_lowerCAmelCase			=vocab_size
				_lowerCAmelCase			=max_position_embeddings
				_lowerCAmelCase			=d_model
				_lowerCAmelCase			=encoder_ffn_dim
				_lowerCAmelCase			=encoder_layers
				_lowerCAmelCase			=encoder_attention_heads
				_lowerCAmelCase			=decoder_ffn_dim
				_lowerCAmelCase			=decoder_layers
				_lowerCAmelCase			=decoder_attention_heads
				_lowerCAmelCase			=dropout
				_lowerCAmelCase			=attention_dropout
				_lowerCAmelCase			=activation_dropout
				_lowerCAmelCase			=activation_function
				_lowerCAmelCase			=init_std
				_lowerCAmelCase			=encoder_layerdrop
				_lowerCAmelCase			=decoder_layerdrop
				_lowerCAmelCase			=classifier_dropout
				_lowerCAmelCase			=use_cache
				_lowerCAmelCase			=encoder_layers
				_lowerCAmelCase			=scale_embedding  # scale factor will be sqrt(d_model) if True
				super().__init__(
				    pad_token_id=__SCREAMING_SNAKE_CASE  ,  bos_token_id=__SCREAMING_SNAKE_CASE  ,  eos_token_id=__SCREAMING_SNAKE_CASE  ,  is_encoder_decoder=__SCREAMING_SNAKE_CASE  ,  forced_eos_token_id=__SCREAMING_SNAKE_CASE  ,  **__SCREAMING_SNAKE_CASE  ,  )







class 	lowerCamelCase__      (      lowerCAmelCase_       ):





			'''simple docstring'''



			@property
			def       _lowerCAmelCase	(							self						)				->  Union[str, Any]:
				return OrderedDict(
				    [
				        ("""input_ids""", {0: """batch""", 1: """sequence"""}),
				        ("""attention_mask""", {0: """batch""", 1: """sequence"""}),
				    ]						)



			@property
			def       _lowerCAmelCase	(							self						)				->  str:

				if self.use_past:
					return OrderedDict(
					    [
					        ("""last_hidden_state""", {0: """batch""", 1: """sequence"""}),
					        ("""past_keys""", {0: """batch""", 2: """sequence"""}),
					        ("""encoder_last_hidden_state""", {0: """batch""", 1: """sequence"""}),
					    ]						)
				else:
					return OrderedDict(
					    [
					        ("""last_hidden_state""", {0: """batch""", 1: """sequence"""}),
					        ("""encoder_last_hidden_state""", {0: """batch""", 1: """sequence"""}),
					    ]						)





"""simple docstring"""


# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__A 		= {
    'configuration_convnextv2': [
        'CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'ConvNextV2Config',
    ]
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			__A 		= [
			    'CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'ConvNextV2ForImageClassification',
			    'ConvNextV2Model',
			    'ConvNextV2PreTrainedModel',
			    'ConvNextV2Backbone',
			]


if TYPE_CHECKING:
			from .configuration_convnextva import (
			    CONVNEXTV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    ConvNextVaConfig,
			)

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_convnextva import (
						    CONVNEXTV2_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ConvNextVaBackbone,
						    ConvNextVaForImageClassification,
						    ConvNextVaModel,
						    ConvNextVaPreTrainedModel,
						)

else:
			import sys

			__A 		= _LazyModule(__name__, globals()['__file__'], _import_structure)



