Index

_

_truncate_seq_pair() (mmf.datasets.processors.MaskedTokenProcessor method)

A

Accuracy (class in mmf.modules.metrics) add_field() (mmf.common.sample.SampleList method)

answer_vocab (mmf.datasets.processors.VQAAnswerProcessor attribute) AttentionSupervisionLoss (class in mmf.modules.losses) AveragePrecision (class in mmf.modules.metrics)

B

BaseDataset (class in mmf.datasets.base_dataset) BaseDatasetBuilder (class in mmf.datasets.base_dataset_builder) BaseMetric (class in mmf.modules.metrics) BaseModel (class in mmf.models.base_model) BaseProcessor (class in mmf.datasets.processors) BBoxProcessor (class in mmf.datasets.processors)

BeamSearch (class in mmf.utils.text) BinaryCrossEntropyLoss (class in mmf.modules.losses) BinaryF1 (class in mmf.modules.metrics) build() (mmf.datasets.base_dataset_builder.BaseDatasetBuilder method) (mmf.models.base_model.BaseModel method) build_dataset() (mmf.datasets.base_dataset_builder.BaseDatasetBuilder method)

C

calculate() (mmf.modules.metrics.Accuracy method) (mmf.modules.metrics.AveragePrecision method) (mmf.modules.metrics.BaseMetric method) (mmf.modules.metrics.CaptionBleu4Metric method) (mmf.modules.metrics.F1 method) (mmf.modules.metrics.MeanRank method) (mmf.modules.metrics.MeanReciprocalRank method) (mmf.modules.metrics.ROC_AUC method) (mmf.modules.metrics.RecallAt1 method) (mmf.modules.metrics.RecallAt10 method) (mmf.modules.metrics.RecallAt5 method) (mmf.modules.metrics.RecallAtK method) (mmf.modules.metrics.TextVQAAccuracy method) (mmf.modules.metrics.VQAAccuracy method) (mmf.modules.metrics.VQAEvalAIAccuracy method)

CaptionBleu4Metric (class in mmf.modules.metrics) CaptionCrossEntropyLoss (class in mmf.modules.losses) CaptionProcessor (class in mmf.datasets.processors) CombinedLoss (class in mmf.modules.losses) compute_answers_scores() (mmf.datasets.processors.MultiHotAnswerFromVocabProcessor method) (mmf.datasets.processors.VQAAnswerProcessor method) copy() (mmf.common.sample.SampleList method) CrossEntropyLoss (class in mmf.modules.losses)

F

F1 (class in mmf.modules.metrics) FastTextProcessor (class in mmf.datasets.processors) fields() (mmf.common.sample.Sample method) (mmf.common.sample.SampleList method) format_for_prediction() (mmf.models.base_model.BaseModel method) format_state_key() (mmf.models.base_model.BaseModel class method) forward() (mmf.models.base_model.BaseModel method) (mmf.modules.losses.AttentionSupervisionLoss method) (mmf.modules.losses.BinaryCrossEntropyLoss method) (mmf.modules.losses.CaptionCrossEntropyLoss method) (mmf.modules.losses.CombinedLoss method) (mmf.modules.losses.CrossEntropyLoss method) (mmf.modules.losses.LogitBinaryCrossEntropy method) (mmf.modules.losses.Losses method) (mmf.modules.losses.M4CDecodingBCEWithMaskLoss method) (mmf.modules.losses.MMFLoss method) (mmf.modules.losses.MultiLoss method) (mmf.modules.losses.NLLLoss method) (mmf.modules.losses.SoftmaxKlDivLoss method) (mmf.modules.losses.WeightedSoftmaxLoss method) (mmf.modules.losses.WrongLoss method)

G

generate_ngrams() (in module mmf.utils.text) generate_ngrams_range() (in module mmf.utils.text) get() (mmf.common.registry.Registry class method) get_batch_size() (mmf.common.sample.SampleList method) get_field() (mmf.common.sample.SampleList method) get_fields() (mmf.common.sample.SampleList method) get_item_list() (mmf.common.sample.SampleList method)

get_pad_index() (mmf.datasets.processors.VocabProcessor method) get_true_vocab_size() (mmf.datasets.processors.SoftCopyAnswerProcessor method) (mmf.datasets.processors.VQAAnswerProcessor method) get_vocab_size() (mmf.datasets.processors.SoftCopyAnswerProcessor method) (mmf.datasets.processors.VQAAnswerProcessor method) (mmf.datasets.processors.VocabProcessor method) GloVeProcessor (class in mmf.datasets.processors)

I

idx2word() (mmf.datasets.processors.VQAAnswerProcessor method)

init_losses() (mmf.models.base_model.BaseModel method)

L

load() (mmf.datasets.base_dataset_builder.BaseDatasetBuilder method) load_dataset() (mmf.datasets.base_dataset_builder.BaseDatasetBuilder method) load_item() (mmf.datasets.base_dataset.BaseDataset method)

load_state_dict() (mmf.models.base_model.BaseModel method) LogitBinaryCrossEntropy (class in mmf.modules.losses) Losses (class in mmf.modules.losses) losses (mmf.modules.losses.Losses attribute)

M

M4CDecodingBCEWithMaskLoss (class in mmf.modules.losses) MacroAP (class in mmf.modules.metrics) MacroF1 (class in mmf.modules.metrics) MacroROC_AUC (class in mmf.modules.metrics) MaskedTokenProcessor (class in mmf.datasets.processors) MeanRank (class in mmf.modules.metrics) MeanReciprocalRank (class in mmf.modules.metrics) Metrics (class in mmf.modules.metrics) MicroAP (class in mmf.modules.metrics) MicroF1 (class in mmf.modules.metrics) MicroROC_AUC (class in mmf.modules.metrics) mmf.common.registry (module) mmf.common.sample (module)

mmf.datasets.base_dataset (module) mmf.datasets.base_dataset_builder (module) mmf.datasets.processors (module) mmf.models.base_model (module) mmf.modules.losses (module) mmf.modules.metrics (module) mmf.utils.text (module) MMFLoss (class in mmf.modules.losses) MultiHotAnswerFromVocabProcessor (class in mmf.datasets.processors) MultiLabelF1 (class in mmf.modules.metrics) MultiLabelMacroF1 (class in mmf.modules.metrics) MultiLabelMicroF1 (class in mmf.modules.metrics) MultiLoss (class in mmf.modules.losses)

N

NLLLoss (class in mmf.modules.losses)

NucleusSampling (class in mmf.utils.text)

O

OCRVQAAccuracy (class in mmf.modules.metrics)

P

pin_memory() (mmf.common.sample.SampleList method)

prepare_batch() (mmf.datasets.base_dataset.BaseDataset method) Processor (class in mmf.datasets.processors)

R

RecallAt1 (class in mmf.modules.metrics) RecallAt10 (class in mmf.modules.metrics) RecallAt5 (class in mmf.modules.metrics) RecallAtK (class in mmf.modules.metrics) register() (mmf.common.registry.Registry class method) register_builder() (mmf.common.registry.Registry class method) register_decoder() (mmf.common.registry.Registry class method)

register_fusion() (mmf.common.registry.Registry class method) register_loss() (mmf.common.registry.Registry class method) register_metric() (mmf.common.registry.Registry class method) register_model() (mmf.common.registry.Registry class method) register_processor() (mmf.common.registry.Registry class method) register_trainer() (mmf.common.registry.Registry class method) Registry (class in mmf.common.registry) ROC_AUC (class in mmf.modules.metrics)

S

Sample (class in mmf.common.sample) SampleList (class in mmf.common.sample) SimpleSentenceProcessor (class in mmf.datasets.processors) SimpleWordProcessor (class in mmf.datasets.processors)

SoftCopyAnswerProcessor (class in mmf.datasets.processors) SoftmaxKlDivLoss (class in mmf.modules.losses) STVQAAccuracy (class in mmf.modules.metrics) STVQAANLS (class in mmf.modules.metrics)

T

TextCapsBleu4 (class in mmf.modules.metrics) TextDecoder (class in mmf.utils.text) TextVQAAccuracy (class in mmf.modules.metrics) to() (mmf.common.sample.SampleList method)

to_dict() (mmf.common.sample.SampleList method) tokenizer (mmf.datasets.processors.SimpleSentenceProcessor attribute) (mmf.datasets.processors.SimpleWordProcessor attribute) TorchvisionTransforms (class in mmf.datasets.processors)

U

unregister() (mmf.common.registry.Registry class method)

V

vocab (mmf.datasets.processors.VocabProcessor attribute) VocabProcessor (class in mmf.datasets.processors)

VQAAccuracy (class in mmf.modules.metrics) VQAAnswerProcessor (class in mmf.datasets.processors) VQAEvalAIAccuracy (class in mmf.modules.metrics)

W

WeightedSoftmaxLoss (class in mmf.modules.losses)

word2idx() (mmf.datasets.processors.VQAAnswerProcessor method) WrongLoss (class in mmf.modules.losses)