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.sampling
ISubGVQA.sampling.methods
ISubGVQA.sampling.methods.imle_scheme
View page source
ISubGVQA.sampling.methods.imle_scheme
Attributes
LARGE_NUMBER
Classes
IMLEScheme
Module Contents
ISubGVQA.sampling.methods.imle_scheme.
LARGE_NUMBER
=
10000000000.0
class
ISubGVQA.sampling.methods.imle_scheme.
IMLEScheme
(
imle_sample_policy
,
sample_k
,
train_ensemble
,
val_ensemble
)
policy
k
adj
=
None
train_ensemble
val_ensemble
torch_sample_scheme
(
logits
:
torch.Tensor
)