(
self,
hidden_states,
attention_mask=None,
head_mask=None,
encoder_hidden_states=None,
encoder_attention_mask=None,
past_key_values=None,
use_cache=None,
output_attentions=False,
output_hidden_states=False,
return_dict=True,
mode='multimodal',
)
| 471 | self.gradient_checkpointing = False |
| 472 | |
| 473 | def forward( |
| 474 | self, |
| 475 | hidden_states, |
| 476 | attention_mask=None, |
| 477 | head_mask=None, |
| 478 | encoder_hidden_states=None, |
| 479 | encoder_attention_mask=None, |
| 480 | past_key_values=None, |
| 481 | use_cache=None, |
| 482 | output_attentions=False, |
| 483 | output_hidden_states=False, |
| 484 | return_dict=True, |
| 485 | mode='multimodal', |
| 486 | ): |
| 487 | all_hidden_states = () if output_hidden_states else None |
| 488 | all_self_attentions = () if output_attentions else None |
| 489 | all_cross_attentions = () if output_attentions and self.config.add_cross_attention else None |
| 490 | |
| 491 | next_decoder_cache = () if use_cache else None |
| 492 | |
| 493 | for i in range(self.config.num_hidden_layers): |
| 494 | layer_module = self.layer[i] |
| 495 | if output_hidden_states: |
| 496 | all_hidden_states = all_hidden_states + (hidden_states,) |
| 497 | |
| 498 | layer_head_mask = head_mask[i] if head_mask is not None else None |
| 499 | past_key_value = past_key_values[i] if past_key_values is not None else None |
| 500 | |
| 501 | if self.gradient_checkpointing and self.training: |
| 502 | |
| 503 | if use_cache: |
| 504 | logger.warn( |
| 505 | "`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`..." |
| 506 | ) |
| 507 | use_cache = False |
| 508 | |
| 509 | def create_custom_forward(module): |
| 510 | def custom_forward(*inputs): |
| 511 | return module(*inputs, past_key_value, output_attentions) |
| 512 | |
| 513 | return custom_forward |
| 514 | |
| 515 | layer_outputs = torch.utils.checkpoint.checkpoint( |
| 516 | create_custom_forward(layer_module), |
| 517 | hidden_states, |
| 518 | attention_mask, |
| 519 | layer_head_mask, |
| 520 | encoder_hidden_states, |
| 521 | encoder_attention_mask, |
| 522 | mode=mode, |
| 523 | ) |
| 524 | else: |
| 525 | layer_outputs = layer_module( |
| 526 | hidden_states, |
| 527 | attention_mask, |
| 528 | layer_head_mask, |
| 529 | encoder_hidden_states, |
| 530 | encoder_attention_mask, |
nothing calls this directly
no outgoing calls
no test coverage detected