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Types & classes57 in github.com/ImKeTT/AdaVAE

⨍ Functions 280◇ Types & classes 57
↓ 10 callersClassGatedDense
src/adapters/common.py:500
↓ 10 callersClassInputExample
A single training/test example for simple sequence classification.
low_nlu/utils_glue.py:36
↓ 8 callersClassEncoder
src/adapters/vae.py:848
↓ 7 callersClassLogger
src/logger.py:12
↓ 6 callersClassAdapterConfig
src/adapters/common.py:10
↓ 5 callersClassGPT2Adapter
src/adapters/vae.py:359
↓ 4 callersClassDecoder
src/adapters/vae.py:1051
↓ 4 callersClassLoRALinear
src/adapters/common.py:94
↓ 3 callersClassAdaVAEModel
src/adapters/vae.py:1436
↓ 3 callersClassNonLinear
src/adapters/common.py:518
↓ 2 callersClassAutoModelClassificationFinetuner
metrics/cls_ft.py:67
↓ 2 callersClassConditionalGenerationDataset
src/data.py:37
↓ 2 callersClassDictDataset
src/data.py:166
↓ 2 callersClassMAM_Attention
parallel adapter with prefix-tuning and LoRA component
src/adapters/vae.py:198
↓ 2 callersClassPrefix
src/adapters/common.py:282
↓ 1 callersClassAdaVAEforLatentClassification
low_nlu/latent_classifier.py:18
↓ 1 callersClassAdapterBlock
to infuse latent variable z to attention layers adapter-tuning essentially add down/up projection to the output
src/adapters/vae.py:751
↓ 1 callersClassAverageSelfAttention
src/adapters/vae.py:27
↓ 1 callersClassCodeBook
src/adapters/vae.py:1300
↓ 1 callersClassCtrl_AdaVAE
controlgen/ctrl_gen.py:348
↓ 1 callersClassDataFrameTextClassificationDataset
src/data.py:9
↓ 1 callersClassDialogGenerationDataset
src/data.py:132
↓ 1 callersClassGLUEPretrainingDataset
src/data.py:99
↓ 1 callersClassGenerationDataset
src/data.py:70
↓ 1 callersClassInputFeatures
A single set of features of data.
low_nlu/utils_glue.py:57
↓ 1 callersClassLatentSelfAttention
src/adapters/vae.py:70
↓ 1 callersClassLatent_GPT2Adapter
GPT2Adapter with label embedding infused during generation
src/adapters/vae.py:416
↓ 1 callersClassMAM_Unmasked_Attention
parallel adapter with prefix-tuning and LoRA component
src/adapters/vae.py:505
↓ 1 callersClassMasked_Block
src/adapters/vae.py:646
↓ 1 callersClassMetrics
dialogue/eval_dialog_response.py:13
↓ 1 callersClassMetrics
dialogue/eval_dialog_multi_response.py:14
↓ 1 callersClassOracle_Classifier
controlgen/oracle_cls.py:54
↓ 1 callersClassSpaceFusion
dialogue/spacefusion.py:23
↓ 1 callersClassUnmasked_AdapterBlock
base block of Encoder, unmasked/bi-directional structure in the encoder to allow full information scope. Optimus uses BERT (bi-directiona
src/adapters/vae.py:670
↓ 1 callersClassUnmasked_Attention
unmasked attention layer for encoder, re-define _atten function
src/adapters/vae.py:480
↓ 1 callersClassUnmasked_Block
base block of Encoder, unmasked/bi-directional structure in the encoder to allow full information scope. Optimus uses BERT (bi-directiona
src/adapters/vae.py:631
ClassAdapter_Layer
src/adapters/common.py:219
ClassCARA
controlgen/ctrl_gen.py:13
ClassColaProcessor
Processor for the CoLA data set (GLUE version).
low_nlu/utils_glue.py:171
ClassCond_Attention
src/adapters/vae.py:110
ClassDataProcessor
Base class for data converters for sequence classification data sets.
low_nlu/utils_glue.py:67
ClassLM_head_rep
src/adapters/vae.py:1284
ClassLoRALayer
src/adapters/common.py:74
ClassLoRA_Conv1D
1D-convolutional layer as defined by Radford et al. for OpenAI GPT (and also used in GPT-2). Basically works like a linear layer but the wei
src/adapters/common.py:171
ClassMnliMismatchedProcessor
Processor for the MultiNLI Mismatched data set (GLUE version).
low_nlu/utils_glue.py:161
ClassMnliProcessor
Processor for the MultiNLI data set (GLUE version).
low_nlu/utils_glue.py:128
ClassMrpcProcessor
Processor for the MRPC data set (GLUE version).
low_nlu/utils_glue.py:95
ClassPrefixCrossAttn
src/adapters/common.py:358
ClassPrefixDirectInit
src/adapters/common.py:430
ClassQnliProcessor
Processor for the QNLI data set (GLUE version).
low_nlu/utils_glue.py:375
ClassQqpProcessor
Processor for the QQP data set (GLUE version).
low_nlu/utils_glue.py:340
ClassRteProcessor
Processor for the RTE data set (GLUE version).
low_nlu/utils_glue.py:408
ClassSst2Processor
Processor for the SST-2 data set (GLUE version).
low_nlu/utils_glue.py:264
ClassStsbProcessor
Processor for the STS-B data set (GLUE version).
low_nlu/utils_glue.py:308
ClassVAEModel
src/adapters/vae.py:1341
ClassWnliProcessor
Processor for the WNLI data set (GLUE version).
low_nlu/utils_glue.py:440
ClassYelpProcessor
Processor for the Yelp short data set (GLUE version).
low_nlu/utils_glue.py:214