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Functions1,238 in github.com/boheumd/MA-LMM

Methodforward
(ctx, x)
lavis/models/base_model.py:194
Methodforward
(self, x)
lavis/models/eva_vit.py:38
Methodforward
(self, x)
lavis/models/eva_vit.py:55
Methodforward
(self, x, rel_pos_bias=None)
lavis/models/eva_vit.py:119
Methodforward
(self, x, rel_pos_bias=None)
lavis/models/eva_vit.py:175
Methodforward
(self, x, **kwargs)
lavis/models/eva_vit.py:200
Methodforward
(self)
lavis/models/eva_vit.py:240
Methodforward
(self, x)
lavis/models/eva_vit.py:355
Methodforward
( self, input_ids=None, token_type_ids=None, position_ids=None, inputs
lavis/models/med.py:88
Methodforward
( self, hidden_states, attention_mask=None, head_mask=None, encoder_hi
lavis/models/med.py:184
Methodforward
(self, hidden_states, input_tensor)
lavis/models/med.py:299
Methodforward
( self, hidden_states, attention_mask=None, head_mask=None, encoder_hi
lavis/models/med.py:336
Methodforward
(self, hidden_states)
lavis/models/med.py:371
Methodforward
(self, hidden_states, input_tensor)
lavis/models/med.py:384
Methodforward
( self, hidden_states, attention_mask=None, head_mask=None, encoder_hi
lavis/models/med.py:514
Methodforward
(self, hidden_states)
lavis/models/med.py:639
Methodforward
(self, hidden_states)
lavis/models/med.py:658
Methodforward
(self, hidden_states)
lavis/models/med.py:679
Methodforward
(self, sequence_output)
lavis/models/med.py:690
Methodforward
r""" encoder_hidden_states (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length, hidden_size)`, `optional`): Seq
lavis/models/med.py:832
Methodforward
r""" labels (:obj:`torch.LongTensor` of shape :obj:`(batch_size, sequence_length)`, `optional`): Labels for computing the masked l
lavis/models/med.py:1024
Methodforward
r""" encoder_hidden_states (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length, hidden_size)`, `optional`): Seq
lavis/models/med.py:1150
Methodforward
Args: samples (dict): A dictionary containing the following keys: - image (torch.Tensor): A tensor of shape (batc
lavis/models/blip_models/blip_vqa.py:54
Methodforward
( self, input_ids=None, position_ids=None, inputs_embeds=None, past_ke
lavis/models/blip_models/nlvr_encoder.py:58
Methodforward
( self, hidden_states, attention_mask=None, head_mask=None, encoder_hi
lavis/models/blip_models/nlvr_encoder.py:148
Methodforward
(self, hidden_states, input_tensor)
lavis/models/blip_models/nlvr_encoder.py:273
Methodforward
( self, hidden_states, attention_mask=None, head_mask=None, encoder_hi
lavis/models/blip_models/nlvr_encoder.py:329
Methodforward
(self, hidden_states)
lavis/models/blip_models/nlvr_encoder.py:391
Methodforward
(self, hidden_states, input_tensor)
lavis/models/blip_models/nlvr_encoder.py:404
Methodforward
( self, hidden_states, attention_mask=None, head_mask=None, encoder_hi
lavis/models/blip_models/nlvr_encoder.py:428
Methodforward
( self, hidden_states, attention_mask=None, head_mask=None, encoder_hi
lavis/models/blip_models/nlvr_encoder.py:498
Methodforward
(self, hidden_states)
lavis/models/blip_models/nlvr_encoder.py:599
Methodforward
(self, hidden_states)
lavis/models/blip_models/nlvr_encoder.py:618
Methodforward
(self, hidden_states)
lavis/models/blip_models/nlvr_encoder.py:639
Methodforward
(self, sequence_output)
lavis/models/blip_models/nlvr_encoder.py:650
Methodforward
r""" encoder_hidden_states (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length, hidden_size)`, `optional`): Seq
lavis/models/blip_models/nlvr_encoder.py:792
Methodforward
Args: samples (dict): A dictionary containing the following keys: - image (torch.Tensor): A tensor of shape (batc
lavis/models/blip_models/blip_retrieval.py:116
Methodforward
(self, samples, match_head="itm")
lavis/models/blip_models/blip_image_text_matching.py:58
Methodforward
Args: samples (dict): A dictionary containing the following keys: - image (torch.Tensor): A tensor of shape (batc
lavis/models/blip_models/blip_pretrain.py:114
Methodforward
r""" Args: samples (dict): A dictionary containing the following keys: - image (torch.Tensor): A tensor of shape (
lavis/models/blip_models/blip_caption.py:90
Methodforward
Args: samples (dict): A dictionary containing the following keys: - image (torch.Tensor): A tensor of shape (batc
lavis/models/albef_models/albef_vqa.py:83
Methodforward
Args: samples (dict): A dictionary containing the following keys: - image (torch.Tensor): A tensor of shape (batc
lavis/models/albef_models/albef_pretrain.py:105
Methodforward
Args: samples (dict): A dictionary containing the following keys: - image (torch.Tensor): A tensor of shape (batc
lavis/models/albef_models/albef_retrieval.py:107
Methodforward
(self, image_features, text_features, logit_scale)
lavis/models/clip_models/loss.py:100
Methodforward
(self, img)
lavis/models/clip_models/transform.py:40
Methodforward
(self, x)
lavis/models/clip_models/timm_model.py:124
Methodforward
(self, x)
lavis/models/clip_models/timm_model.py:161
Methodforward
(self, x)
lavis/models/clip_models/timm_model.py:227
Methodforward
(self, x)
lavis/models/clip_models/timm_model.py:403
Methodforward
(self, x)
lavis/models/clip_models/timm_model.py:500
Methodforward
(self, x: torch.Tensor)
lavis/models/clip_models/model.py:93
Methodforward
(self, x)
lavis/models/clip_models/model.py:123
Methodforward
(self, x)
lavis/models/clip_models/model.py:236
Methodforward
(self, x: torch.Tensor)
lavis/models/clip_models/model.py:250
Methodforward
(self, x: torch.Tensor)
lavis/models/clip_models/model.py:258
Methodforward
(self, x: torch.Tensor, attn_mask: Optional[torch.Tensor] = None)
lavis/models/clip_models/model.py:282
Methodforward
(self, x: torch.Tensor, attn_mask: Optional[torch.Tensor] = None)
lavis/models/clip_models/model.py:302
Methodforward
(self, x: torch.Tensor)
lavis/models/clip_models/model.py:349
Methodforward
(self, samples)
lavis/models/clip_models/model.py:571
Methodforward
(self, samples)
lavis/models/blip2_models/blip2_t5_instruct.py:118
Methodforward
(self, samples)
lavis/models/blip2_models/blip2_qformer.py:90
Methodforward
(self, samples)
lavis/models/blip2_models/blip2_t5.py:102
Methodforward
( self, input_ids=None, position_ids=None, query_embeds=None, past_key
lavis/models/blip2_models/Qformer.py:78
Methodforward
( self, hidden_states, attention_mask=None, head_mask=None, encoder_hi
lavis/models/blip2_models/Qformer.py:169
Methodforward
(self, hidden_states, input_tensor)
lavis/models/blip2_models/Qformer.py:285
Methodforward
( self, hidden_states, attention_mask=None, head_mask=None, encoder_hi
lavis/models/blip2_models/Qformer.py:322
Methodforward
(self, hidden_states)
lavis/models/blip2_models/Qformer.py:358
Methodforward
(self, hidden_states, input_tensor)
lavis/models/blip2_models/Qformer.py:371
Methodforward
( self, hidden_states, attention_mask=None, head_mask=None, encoder_hi
lavis/models/blip2_models/Qformer.py:402
Methodforward
( self, hidden_states, attention_mask=None, head_mask=None, encoder_hi
lavis/models/blip2_models/Qformer.py:495
Methodforward
(self, hidden_states)
lavis/models/blip2_models/Qformer.py:598
Methodforward
(self, hidden_states)
lavis/models/blip2_models/Qformer.py:617
Methodforward
(self, hidden_states)
lavis/models/blip2_models/Qformer.py:638
Methodforward
(self, sequence_output)
lavis/models/blip2_models/Qformer.py:649
Methodforward
r""" encoder_hidden_states (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length, hidden_size)`, `optional`): Seq
lavis/models/blip2_models/Qformer.py:804
Methodforward
r""" encoder_hidden_states (:obj:`torch.FloatTensor` of shape :obj:`(batch_size, sequence_length, hidden_size)`, `optional`): Seq
lavis/models/blip2_models/Qformer.py:987
Methodforward
r""" labels (:obj:`torch.LongTensor` of shape :obj:`(batch_size, sequence_length)`, `optional`): Labels for computing the masked l
lavis/models/blip2_models/Qformer.py:1150
Methodforward
(self, hidden_states)
lavis/models/blip2_models/modeling_llama.py:84
Methodforward
(self, x, seq_len=None)
lavis/models/blip2_models/modeling_llama.py:110
Methodforward
(self, x)
lavis/models/blip2_models/modeling_llama.py:157
Methodforward
( self, hidden_states: torch.Tensor, attention_mask: Optional[torch.Tensor] = None,
lavis/models/blip2_models/modeling_llama.py:186
Methodforward
Args: hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` attention_mask (
lavis/models/blip2_models/modeling_llama.py:265
Methodforward
( self, input_ids: torch.LongTensor = None, attention_mask: Optional[torch.Tensor] = N
lavis/models/blip2_models/modeling_llama.py:484
Methodforward
r""" Args: labels (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): Labels for computing
lavis/models/blip2_models/modeling_llama.py:643
Methodforward
r""" labels (`torch.LongTensor` of shape `(batch_size,)`, *optional*): Labels for computing the sequence classification/regression
lavis/models/blip2_models/modeling_llama.py:805
Methodforward
(self, hidden_states)
lavis/models/blip2_models/modeling_t5.py:263
Methodforward
(self, hidden_states)
lavis/models/blip2_models/modeling_t5.py:306
Methodforward
(self, hidden_states)
lavis/models/blip2_models/modeling_t5.py:323
Methodforward
(self, hidden_states)
lavis/models/blip2_models/modeling_t5.py:343
Methodforward
Self-attention (if key_value_states is None) or attention over source sentence (provided by key_value_states).
lavis/models/blip2_models/modeling_t5.py:474
Methodforward
( self, hidden_states, attention_mask=None, position_bias=None, layer_
lavis/models/blip2_models/modeling_t5.py:632
Methodforward
( self, hidden_states, key_value_states, attention_mask=None, position
lavis/models/blip2_models/modeling_t5.py:666
Methodforward
( self, hidden_states, attention_mask=None, position_bias=None, encode
lavis/models/blip2_models/modeling_t5.py:712
Methodforward
( self, input_ids=None, attention_mask=None, encoder_hidden_states=None,
lavis/models/blip2_models/modeling_t5.py:1021
Methodforward
r""" Returns: Example: ```python >>> from transformers import T5Tokenizer, T5Model >>> tokenizer = T5Tokeni
lavis/models/blip2_models/modeling_t5.py:1529
Methodforward
r""" labels (`torch.LongTensor` of shape `(batch_size,)`, *optional*): Labels for computing the sequence classification/regression
lavis/models/blip2_models/modeling_t5.py:1734
Methodforward
r""" Returns: Example: ```python >>> from transformers import T5Tokenizer, T5EncoderModel >>> tokenizer = T
lavis/models/blip2_models/modeling_t5.py:2023
Methodforward
(self, samples)
lavis/models/blip2_models/blip2_vicuna_instruct.py:140
Methodforward
( self, hidden_states, attention_mask=None, head_mask=None, encoder_hi
lavis/models/blip2_models/blip2.py:47
Methodforward
(self, x: torch.Tensor)
lavis/models/blip2_models/blip2.py:414
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