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a9bd396 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | import torch
from transformers.models.bert.modeling_bert import BertModel
from ...modeling_outputs import BaseModelOutputWithPoolingAndCrossAttentions
from ...processing_utils import Unpack
from ...utils import TransformersKwargs
class DummyBertModel(BertModel):
def forward(
self,
input_ids: torch.Tensor | None = None,
attention_mask: torch.Tensor | None = None,
token_type_ids: torch.Tensor | None = None,
position_ids: torch.Tensor | None = None,
inputs_embeds: torch.Tensor | None = None,
encoder_hidden_states: torch.Tensor | None = None,
encoder_attention_mask: torch.Tensor | None = None,
past_key_values: list[torch.FloatTensor] | None = None,
use_cache: bool | None = None,
output_attentions: bool | None = None,
output_hidden_states: bool | None = None,
return_dict: bool | None = None,
cache_position: torch.Tensor | None = None,
**kwargs: Unpack[TransformersKwargs],
) -> tuple[torch.Tensor] | BaseModelOutputWithPoolingAndCrossAttentions:
return super().forward(input_ids, **kwargs)
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