Intrinsic Subgraph Generation for interpretable VQA
Contents:
API Reference
ISubGVQA
Submodules
ISubGVQA.datasets
ISubGVQA.models
ISubGVQA.sampling
ISubGVQA.training
ISubGVQA.utils
Intrinsic Subgraph Generation for interpretable VQA
API Reference
ISubGVQA
ISubGVQA.models
ISubGVQA.models.question_encoder
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ISubGVQA.models.question_encoder
Classes
QuestionEncoder
Module Contents
class
ISubGVQA.models.question_encoder.
QuestionEncoder
(
text_vocab_embedding
,
text_emb_dim
,
ninp
,
nhead
,
nhid
,
nlayers
,
dropout
=
0.5
)
Bases:
torch.nn.Module
text_vocab_embedding
model_type
=
'Transformer'
emb_proj
pos_encoder
transformer_encoder
ninp
forward
(
src
,
mask
)