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Types & classes116 in github.com/ThisisBillhe/NAR

↓ 9 callersClassModelArgs
NAR-images/autoregressive/models/gpt.py:24
↓ 9 callersClassTransformer
NAR-images/autoregressive/models/gpt.py:262
↓ 8 callersClassFeatureStats
NAR-videos/utils/fvd/fvd.py:45
↓ 7 callersClassFVDCalculator
NAR-videos/utils/fvd/fvd.py:324
↓ 7 callersClassLARP_AR
NAR-videos/models/larp_ar.py:237
↓ 7 callersClassModelArgs
NAR-videos/models/larp_ar.py:34
↓ 6 callersClassGPTC
the continuous GPT model
NAR-videos/models/gptc.py:106
↓ 6 callersClassGPTCConfig
base GPT config, params common to all GPT versions
NAR-videos/models/gptc.py:12
↓ 6 callersClassResnetBlock
NAR-images/tokenizer/vqgan/layer.py:57
↓ 6 callersClassResnetBlock
NAR-images/tokenizer/tokenizer_image/vq_model.py:279
↓ 5 callersClassNetLinLayer
A single linear layer which does a 1x1 conv
NAR-images/tokenizer/tokenizer_image/lpips.py:109
↓ 5 callersClassRMSNorm
NAR-videos/models/norm.py:6
↓ 4 callersClassAttnBlock
NAR-images/tokenizer/vqgan/layer.py:119
↓ 4 callersClassAttnBlock
NAR-images/tokenizer/tokenizer_image/vq_model.py:317
↓ 4 callersClassFIDInceptionC
InceptionC block patched for FID computation
NAR-videos/utils/fid/inception.py:250
↓ 4 callersClassModelArgs
NAR-images/tokenizer/tokenizer_image/vq_model.py:13
↓ 4 callersClassRMSNorm
NAR-images/autoregressive/models/gpt.py:139
↓ 4 callersClassT5Embedder
NAR-images/language/t5.py:15
↓ 3 callersClassFIDInceptionA
InceptionA block patched for FID computation
NAR-videos/utils/fid/inception.py:223
↓ 3 callersClassFIDStatistics
NAR-images/evaluations/c2i/evaluator.py:83
↓ 2 callersClassCenterCropLongEdge
this code is borrowed from https://github.com/ajbrock/BigGAN-PyTorch MIT License Copyright (c) 2019 Andy Brock
NAR-images/evaluations/t2i/evaluation.py:31
↓ 2 callersClassPatchEmbed3D
3D Video to Patch Embedding
NAR-videos/models/embed.py:37
↓ 2 callersClassVQModel
NAR-images/tokenizer/vqgan/model.py:24
↓ 2 callersClassVQModel
NAR-images/tokenizer/tokenizer_image/vq_model.py:28
↓ 2 callersClassVQModelHF
NAR-images/tokenizer/tokenizer_image/vq_model_hf.py:5
↓ 2 callersClassVideoPatchEmbed
NAR-videos/models/embed.py:16
↓ 1 callersClassAttention
NAR-images/autoregressive/models/gpt.py:190
↓ 1 callersClassAttention
NAR-videos/models/larp_ar.py:168
↓ 1 callersClassBatchIterator
NAR-images/evaluations/c2i/evaluator.py:471
↓ 1 callersClassBlock
an unassuming Transformer block
NAR-videos/models/gptc.py:79
↓ 1 callersClassBlur
NAR-images/tokenizer/tokenizer_image/discriminator.py:238
↓ 1 callersClassBlur
NAR-images/tokenizer/tokenizer_image/discriminator_stylegan.py:84
↓ 1 callersClassCaptionEmbedder
Embeds text caption into vector representations. Also handles label dropout for classifier-free guidance.
NAR-images/autoregressive/models/gpt.py:91
↓ 1 callersClassCausalSelfAttention
A vanilla multi-head masked self-attention layer with a projection at the end. It is possible to use torch.nn.MultiheadAttention here but I a
NAR-videos/models/gptc.py:30
↓ 1 callersClassCustomDataset
NAR-images/dataset/imagenet.py:8
↓ 1 callersClassCustomDataset
NAR-images/language/extract_t5_feature.py:23
↓ 1 callersClassDatasetJson
NAR-images/dataset/openimage.py:10
↓ 1 callersClassDecoder
NAR-images/tokenizer/vqgan/layer.py:269
↓ 1 callersClassDecoder
NAR-images/tokenizer/tokenizer_image/vq_model.py:128
↓ 1 callersClassDiagonalGaussianDistribution
NAR-videos/models/bottleneck.py:36
↓ 1 callersClassDiscriminatorBlock
NAR-images/tokenizer/tokenizer_image/discriminator.py:212
↓ 1 callersClassDiscriminatorBlock
NAR-images/tokenizer/tokenizer_image/discriminator_stylegan.py:57
↓ 1 callersClassDistanceBlock
Calculate pairwise distances between vectors. Adapted from https://github.com/kynkaat/improved-precision-and-recall-metric/blob/f60f25e5ad93
NAR-images/evaluations/c2i/evaluator.py:378
↓ 1 callersClassDownsample
NAR-images/tokenizer/vqgan/layer.py:35
↓ 1 callersClassDownsample
NAR-images/tokenizer/tokenizer_image/vq_model.py:381
↓ 1 callersClassDropPath
Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
NAR-images/utils/drop_path.py:24
↓ 1 callersClassDropPath
Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
NAR-videos/models/larp_ar.py:112
↓ 1 callersClassEncoder
NAR-images/tokenizer/vqgan/layer.py:175
↓ 1 callersClassEncoder
NAR-images/tokenizer/tokenizer_image/vq_model.py:64
↓ 1 callersClassEvalDataset
NAR-images/evaluations/t2i/evaluation.py:44
↓ 1 callersClassEvaluator
NAR-images/evaluations/c2i/evaluator.py:134
↓ 1 callersClassFIDInceptionE_1
First InceptionE block patched for FID computation
NAR-videos/utils/fid/inception.py:280
↓ 1 callersClassFIDInceptionE_2
Second InceptionE block patched for FID computation
NAR-videos/utils/fid/inception.py:315
↓ 1 callersClassFeedForward
NAR-images/autoregressive/models/gpt.py:153
↓ 1 callersClassFeedForward
NAR-videos/models/larp_ar.py:131
↓ 1 callersClassImageDataset
NAR-videos/utils/fid/fid.py:37
↓ 1 callersClassInceptionV3
Pretrained InceptionV3 network returning feature maps
NAR-videos/utils/fid/inception.py:17
↓ 1 callersClassKVCache
NAR-images/autoregressive/models/gpt.py:172
↓ 1 callersClassKVCache
NAR-videos/models/larp_ar.py:150
↓ 1 callersClassLPIPS
NAR-images/tokenizer/tokenizer_image/lpips.py:53
↓ 1 callersClassLabelEmbedder
Embeds class labels into vector representations. Also handles label dropout for classifier-free guidance.
NAR-images/autoregressive/models/gpt.py:58
↓ 1 callersClassLabelEmbedder
Embeds class labels into vector representations. Also handles label dropout for classifier-free guidance.
NAR-videos/models/embed.py:229
↓ 1 callersClassMLP
NAR-images/autoregressive/models/gpt.py:120
↓ 1 callersClassManifoldEstimator
A helper for comparing manifolds of feature vectors. Adapted from https://github.com/kynkaat/improved-precision-and-recall-metric/blob/f60f2
NAR-images/evaluations/c2i/evaluator.py:221
↓ 1 callersClassOutputLayer
NAR-videos/models/larp_tokenizer.py:30
↓ 1 callersClassPatchGANDiscriminator
Defines a PatchGAN discriminator as in Pix2Pix --> see https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/blob/master/models/networks.py
NAR-images/tokenizer/tokenizer_image/discriminator.py:17
↓ 1 callersClassScalingLayer
NAR-images/tokenizer/tokenizer_image/lpips.py:99
↓ 1 callersClassSingleFolderDataset
NAR-images/dataset/coco.py:7
↓ 1 callersClassSingleFolderDataset
NAR-images/tokenizer/vae/reconstruction_vae_ddp.py:22
↓ 1 callersClassSingleFolderDataset
NAR-images/tokenizer/vqgan/reconstruction_vqgan_ddp.py:24
↓ 1 callersClassSingleFolderDataset
NAR-images/tokenizer/validation/val_ddp.py:17
↓ 1 callersClassSingleFolderDataset
NAR-images/tokenizer/consistencydecoder/reconstruction_cd_ddp.py:22
↓ 1 callersClassStreamingNpzArrayReader
NAR-images/evaluations/c2i/evaluator.py:483
↓ 1 callersClassStyleGANDiscriminator
NAR-images/tokenizer/tokenizer_image/discriminator.py:168
↓ 1 callersClassText2ImgDataset
NAR-images/dataset/t2i.py:50
↓ 1 callersClassText2ImgDatasetCode
NAR-images/dataset/t2i.py:138
↓ 1 callersClassText2ImgDatasetImg
NAR-images/dataset/t2i.py:10
↓ 1 callersClassTransformerBlock
NAR-images/autoregressive/models/gpt.py:246
↓ 1 callersClassTransformerBlock
NAR-videos/models/larp_ar.py:221
↓ 1 callersClassTransformerDiscriminator
NAR-videos/models/loss.py:119
↓ 1 callersClassTransformerEncoderFused
NAR-videos/models/transformer.py:9
↓ 1 callersClassUCFrFVDEvaluator
NAR-videos/eval/rfvd_evaluator.py:18
↓ 1 callersClassUpsample
NAR-images/tokenizer/vqgan/layer.py:17
↓ 1 callersClassUpsample
NAR-images/tokenizer/tokenizer_image/vq_model.py:367
↓ 1 callersClassVQLoss
NAR-images/tokenizer/tokenizer_image/vq_loss.py:49
↓ 1 callersClassVectorQuantizer
see https://github.com/MishaLaskin/vqvae/blob/d761a999e2267766400dc646d82d3ac3657771d4/models/quantizer.py __________________________________
NAR-images/tokenizer/vqgan/quantize.py:9
↓ 1 callersClassVectorQuantizer
NAR-images/tokenizer/tokenizer_image/vq_model.py:197
↓ 1 callersClassVideoDataset
Generic dataset for videos files stored in folders. Videos of the same class are expected to be stored in a single folder. Multiple folders
NAR-videos/utils/fvd/fvd.py:252
↓ 1 callersClassvgg16
NAR-images/tokenizer/tokenizer_image/lpips.py:118
ClassAbstractRegularizer
NAR-videos/models/bottleneck.py:191
ClassActNorm
NAR-images/tokenizer/tokenizer_image/discriminator.py:79
ClassActNorm
NAR-images/tokenizer/tokenizer_image/discriminator_patchgan.py:70
ClassAverager
NAR-videos/utils/common.py:90
ClassBaseTrainer
NAR-videos/trainers/base_trainer.py:74
ClassBottleneck
NAR-videos/models/bottleneck.py:66
ClassDiscriminator
NAR-images/tokenizer/tokenizer_image/discriminator_stylegan.py:13
ClassEpochTimer
NAR-videos/utils/common.py:103
ClassFIDCalculator
NAR-videos/utils/fid/fid.py:60
ClassInvalidFIDException
NAR-images/evaluations/c2i/evaluator.py:79
ClassLARPARFramePredictionTrainer
NAR-videos/trainers/larp_ar_fp_trainer.py:34
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