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hub / github.com/UVA-Computer-Vision-Lab/FrameINO / forward

Method forward

architecture/embeddings.py:1535–1540  ·  view source on GitHub ↗
(self, labels: torch.LongTensor, force_drop_ids=None)

Source from the content-addressed store, hash-verified

1533 return labels
1534
1535 def forward(self, labels: torch.LongTensor, force_drop_ids=None):
1536 use_dropout = self.dropout_prob > 0
1537 if (self.training and use_dropout) or (force_drop_ids is not None):
1538 labels = self.token_drop(labels, force_drop_ids)
1539 embeddings = self.embedding_table(labels)
1540 return embeddings
1541
1542
1543class TextImageProjection(nn.Module):

Callers

nothing calls this directly

Calls 1

token_dropMethod · 0.95

Tested by

no test coverage detected