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Types & classes141 in github.com/showlab/Show-o

↓ 15 callersClassConversation
A class that keeps all conversation history.
llava/llava/conversation.py:20
↓ 11 callersClassCausalConv3d
Causal 3d convolusion.
show-o2/models/wan21_vae.py:17
↓ 10 callersClassWanVAE
show-o2/models/wan21_vae.py:622
↓ 9 callersClassRMSNorm
show-o2/models/modules.py:580
↓ 9 callersClassShowo2Qwen2_5
show-o2/models/modeling_showo2_qwen2_5.py:30
↓ 7 callersClassSampler
Sampler class for the transport model
show-o2/transport/transport.py:255
↓ 6 callersClassAverageMeter
Computes and stores the average and current value
show-o2/utils.py:90
↓ 6 callersClassMixedDataLoader
show-o2/datasets/mixed_dataloader.py:33
↓ 6 callersClassResidualBlock
show-o2/models/wan21_vae.py:186
↓ 6 callersClassResnetBlock
models/common_modules.py:298
↓ 5 callersClassLayerNorm
Subclass torch's LayerNorm to handle fp16.
show-o2/models/modeling_siglip.py:58
↓ 5 callersClassRMS_norm
show-o2/models/wan21_vae.py:39
↓ 4 callersClassAttentionBlock
Causal self-attention with a single head.
show-o2/models/wan21_vae.py:223
↓ 4 callersClassAttnBlock
models/common_modules.py:168
↓ 4 callersClassAverageMeter
Computes and stores the average and current value
training/utils.py:160
↓ 4 callersClassQwen2Model
Transformer decoder consisting of *config.num_hidden_layers* layers. Each layer is a [`Qwen2DecoderLayer`] Args: config: Qwen2Config
show-o2/models/qwen2.py:788
↓ 4 callersClassUniversalPrompting
training/prompting_utils.py:18
↓ 3 callersClassPatchEmbed
2D Image to Patch Embedding
show-o2/models/misc.py:124
↓ 3 callersClassPhiModel
Transformer decoder consisting of *config.num_hidden_layers* layers. Each layer is a [`PhiDecoderLayer`] Args: config: PhiConfig
models/phi.py:919
↓ 3 callersClassQwen2RMSNorm
show-o2/models/qwen2.py:73
↓ 3 callersClassRefinedWebDataset
parquet/refinedweb_dataset.py:23
↓ 3 callersClassText2ImageDataset
training/data.py:120
↓ 2 callersClassCLIPVisionTower
models/clip_encoder.py:6
↓ 2 callersClassCausalConv3d
models/common_modules.py:239
↓ 2 callersClassImageNetDataset
training/imagenet_dataset.py:24
↓ 2 callersClassLLaVADataset
llava/llava_data_vq_unified.py:126
↓ 2 callersClassLLaVAInstructDataset
llava/llava_instruct_data.py:131
↓ 2 callersClassLLaVAPretrainCaptioningDataset
llava/llava_pretrain_data.py:57
↓ 2 callersClassMLP
show-o2/models/modules.py:603
↓ 2 callersClassMMUDataset
show-o2/datasets/mmu_dataset.py:29
↓ 2 callersClassQwen2RotaryEmbedding
show-o2/models/qwen2.py:94
↓ 2 callersClassResample
show-o2/models/wan21_vae.py:66
↓ 2 callersClassShowo
models/modeling_showo.py:23
↓ 2 callersClassSiglipEncoder
Transformer encoder consisting of `config.num_hidden_layers` self attention layers. Each layer is a [`SiglipEncoderLayer`]. Args:
show-o2/models/modeling_siglip.py:852
↓ 2 callersClassSiglipMLP
show-o2/models/modeling_siglip.py:616
↓ 2 callersClassStreamToLogger
Fake file-like stream object that redirects writes to a logger instance.
llava/llava/utils.py:60
↓ 2 callersClassUpsample
show-o2/models/wan21_vae.py:57
↓ 2 callersClassVISTDataset
Dataset for Visual Story Telling (VIST) with interleaved image-text pairs.
show-o2/datasets/vist_dataset.py:28
↓ 2 callersClassVQGANEncoder
models/modeling_magvitv2.py:48
↓ 2 callersClassode
ODE solver class
show-o2/transport/integrators.py:79
↓ 1 callersClassDecoder3d
show-o2/models/wan21_vae.py:369
↓ 1 callersClassDiffusionHeadConfig
show-o2/models/modules.py:72
↓ 1 callersClassDownsample
models/common_modules.py:73
↓ 1 callersClassEmptyTqdm
Dummy tqdm which doesn't do anything.
show-o2/models/my_logging.py:279
↓ 1 callersClassEmptyTqdm
Dummy tqdm which doesn't do anything.
models/logging.py:279
↓ 1 callersClassEncoder3d
show-o2/models/wan21_vae.py:265
↓ 1 callersClassFinalLayer
The final layer of DiT.
show-o2/models/misc.py:197
↓ 1 callersClassImageNetDataset
Dataset for loading imagenet.
show-o2/datasets/imagenet_dataset.py:33
↓ 1 callersClassImageTextDataset
Dataset for loading image-text pairs.
show-o2/datasets/image_text_dataset.py:33
↓ 1 callersClassLFQuantizer
models/modeling_magvitv2.py:172
↓ 1 callersClassMPLUG
show-o2/evaluation/compute_dpg_bench.py:53
↓ 1 callersClassModulatedAttentionBlock
show-o2/models/modules.py:109
↓ 1 callersClassOmniAttentionMechanism
training/omni_attention.py:22
↓ 1 callersClassPhiDecoderLayer
models/phi.py:739
↓ 1 callersClassPhiDynamicNTKScalingRotaryEmbedding
PhiRotaryEmbedding extended with Dynamic NTK scaling. Credits to the Reddit users /u/bloc97 and /u/emozilla
models/phi.py:136
↓ 1 callersClassPhiForCausalLM
models/phi.py:1084
↓ 1 callersClassPhiLinearScalingRotaryEmbedding
PhiRotaryEmbedding extended with linear scaling. Credits to the Reddit user /u/kaiokendev
models/phi.py:116
↓ 1 callersClassPhiMLP
models/phi.py:200
↓ 1 callersClassPhiRotaryEmbedding
models/phi.py:79
↓ 1 callersClassQwen2DecoderLayer
show-o2/models/qwen2.py:580
↓ 1 callersClassQwen2ForCausalLM
show-o2/models/qwen2.py:1090
↓ 1 callersClassQwen2MLP
show-o2/models/qwen2.py:218
↓ 1 callersClassResidual
models/common_modules.py:226
↓ 1 callersClassRotaryEmbedding
show-o2/models/modules.py:255
↓ 1 callersClassSchedulerType
show-o2/models/lr_schedulers.py:29
↓ 1 callersClassSchedulerType
models/lr_schedulers.py:29
↓ 1 callersClassSiglipEncoderLayer
show-o2/models/modeling_siglip.py:631
↓ 1 callersClassSiglipMultiheadAttentionPoolingHead
Multihead Attention Pooling.
show-o2/models/modeling_siglip.py:1130
↓ 1 callersClassSiglipOutput
Args: loss (`torch.FloatTensor` of shape `(1,)`, *optional*, returned when `return_loss` is `True`): Contrastive loss for ima
show-o2/models/modeling_siglip.py:230
↓ 1 callersClassSiglipTextEmbeddings
show-o2/models/modeling_siglip.py:339
↓ 1 callersClassSiglipTextTransformer
show-o2/models/modeling_siglip.py:940
↓ 1 callersClassSiglipVisionEmbeddings
show-o2/models/modeling_siglip.py:266
↓ 1 callersClassSiglipVisionTransformer
show-o2/models/modeling_siglip.py:1073
↓ 1 callersClassTimestepEmbedder
Embeds scalar timesteps into vector representations.
show-o2/models/misc.py:156
↓ 1 callersClassTransport
show-o2/transport/transport.py:42
↓ 1 callersClassUpsample
models/common_modules.py:27
↓ 1 callersClassVQGANDecoder
models/modeling_magvitv2.py:277
↓ 1 callersClassWanVAE_
show-o2/models/wan21_vae.py:483
↓ 1 callersClass_tqdm_cls
show-o2/models/my_logging.py:303
↓ 1 callersClass_tqdm_cls
models/logging.py:303
↓ 1 callersClasssde
SDE solver class
show-o2/transport/integrators.py:5
ClassAttention
Multi-headed attention from 'Attention Is All You Need' paper
show-o2/models/modules.py:354
ClassCLIPVisionEncoder
show-o2/models/misc.py:242
ClassCLIPVisionEncoder
show-o2/models/modules.py:833
ClassCLIPVisionTowerS2
models/clip_encoder.py:85
ClassConfig
models/modeling_magvitv2.py:50
ClassDecoderLayer
show-o2/models/modules.py:625
ClassDepthToSpaceUpsample
models/common_modules.py:43
ClassEMA
Exponential Moving Average of models weights
models/training_utils.py:61
ClassEasyDict
show-o2/transport/utils.py:4
ClassFinalLayer
The final layer of DiT.
show-o2/models/modules.py:778
ClassGVPCPlan
show-o2/transport/path.py:185
ClassICPlan
Linear Coupling Plan
show-o2/transport/path.py:19
ClassKeywordsStoppingCriteria
llava/llava/mm_utils.py:216
ClassLegacyModelMixin
r""" A subclass of `ModelMixin` to resolve class mapping from legacy classes (like `Transformer2DModel`) to more pipeline-specific classes (li
show-o2/models/modeling_utils.py:1155
ClassLegacyModelMixin
r""" A subclass of `ModelMixin` to resolve class mapping from legacy classes (like `Transformer2DModel`) to more pipeline-specific classes (li
models/modeling_utils.py:1157
ClassLion
r"""Implements Lion algorithm.
training/optimizer.py:20
ClassMAGVITv2
models/modeling_magvitv2.py:402
ClassModelMixin
r""" Base class for all models. [`ModelMixin`] takes care of storing the model configuration and provides methods for loading, downloading an
show-o2/models/modeling_utils.py:120
ClassModelMixin
r""" Base class for all models. [`ModelMixin`] takes care of storing the model configuration and provides methods for loading, downloading an
models/modeling_utils.py:120
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