from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase__	:  List[str]						=  {
    '''configuration_decision_transformer''': [
        '''DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''DecisionTransformerConfig''',
    ],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowerCAmelCase__	:  List[str]						=  [
				    '''DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''DecisionTransformerGPT2Model''',
				    '''DecisionTransformerGPT2PreTrainedModel''',
				    '''DecisionTransformerModel''',
				    '''DecisionTransformerPreTrainedModel''',
				]


if TYPE_CHECKING:
				from .configuration_decision_transformer import (
				    DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    DecisionTransformerConfig,
				)

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_decision_transformer import (
								    DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
								    DecisionTransformerGPTaModel,
								    DecisionTransformerGPTaPreTrainedModel,
								    DecisionTransformerModel,
								    DecisionTransformerPreTrainedModel,
								)


else:
				import sys

				lowerCAmelCase__	:  str						=  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



from ...utils import is_transformers_available
from .pipeline_latent_diffusion_superresolution import LDMSuperResolutionPipeline


if is_transformers_available():
				from .pipeline_latent_diffusion import LDMBertModel, LDMTextToImagePipeline


