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from typing import TYPE_CHECKING |
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from transformers.utils import ( |
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OptionalDependencyNotAvailable, |
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_LazyModule, |
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is_torch_available, |
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) |
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_import_structure = { |
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"configuration_vgcn_bert": [ |
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"VGCNBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", |
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"VGCNBertConfig", |
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"VGCNBertOnnxConfig", |
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], |
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} |
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try: |
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if not is_torch_available(): |
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raise OptionalDependencyNotAvailable() |
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except OptionalDependencyNotAvailable: |
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pass |
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else: |
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_import_structure["modeling_vgcn_bert"] = [ |
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"VGCNBERT_PRETRAINED_MODEL_ARCHIVE_LIST", |
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"VGCNBertForMaskedLM", |
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"VGCNBertForMultipleChoice", |
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"VGCNBertForQuestionAnswering", |
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"VGCNBertForSequenceClassification", |
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"VGCNBertForTokenClassification", |
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"VGCNBertModel", |
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"VGCNBertPreTrainedModel", |
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] |
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if TYPE_CHECKING: |
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from .configuration_vgcn_bert import ( |
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VGCNBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, |
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VGCNBertConfig, |
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VGCNBertOnnxConfig, |
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) |
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try: |
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if not is_torch_available(): |
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raise OptionalDependencyNotAvailable() |
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except OptionalDependencyNotAvailable: |
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pass |
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else: |
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from .modeling_vgcn_bert import ( |
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VGCNBERT_PRETRAINED_MODEL_ARCHIVE_LIST, |
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VGCNBertForMaskedLM, |
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VGCNBertForMultipleChoice, |
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VGCNBertForQuestionAnswering, |
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VGCNBertForSequenceClassification, |
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VGCNBertForTokenClassification, |
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VGCNBertModel, |
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VGCNBertPreTrainedModel, |
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) |
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else: |
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import sys |
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sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__) |
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