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Types & classes55 in github.com/csuhan/OneLLM

⨍ Functions 248◇ Types & classes 55↳ Endpoints 1
↓ 12 callersClassConversation
A class that keeps all conversation history.
data/conversation_lib.py:14
↓ 11 callersClassMetaModel
model/meta.py:12
↓ 9 callersClassdefault_tensor_type
util/misc.py:465
↓ 3 callersClassRMSNorm
model/components.py:10
↓ 3 callersClassTokenizer
model/tokenizer.py:13
↓ 2 callersClassBatchNorm1d
model/lib/pointnet2/pytorch_utils.py:114
↓ 2 callersClassPointPatchEmbed
model/lib/point_utils.py:146
↓ 2 callersClassSmoothedValue
Track a series of values and provide access to smoothed values over a window or the global series average.
util/misc.py:39
↓ 2 callersClassTransformerBlock
model/LLM/onellm.py:180
↓ 1 callersClassAttention
model/LLM/onellm.py:73
↓ 1 callersClassAudioTextDataset
eval/audio_cap_clothov2.py:25
↓ 1 callersClassCaptionDataset
eval/point_cap_pointllm.py:19
↓ 1 callersClassCaptionDataset
eval/fmri_cap_nsd.py:24
↓ 1 callersClassCaptionDataset
eval/video_qa_msvd.py:24
↓ 1 callersClassCaptionDataset
eval/imu_cap_ego4d.py:35
↓ 1 callersClassCocoCapDataset
eval/image_cap_cococap.py:29
↓ 1 callersClassConcatDataset
data/pretrain_dataset.py:278
↓ 1 callersClassConv2d
model/lib/pointnet2/pytorch_utils.py:163
↓ 1 callersClassConversationGenerator
data/finetune_dataset.py:23
↓ 1 callersClassFeedForward
model/LLM/onellm.py:151
↓ 1 callersClassFinetuneDialogDataset
data/finetune_dataset.py:123
↓ 1 callersClassFinetuneDistSampler
data/finetune_dataset.py:354
↓ 1 callersClassKNN
model/lib/point_utils.py:6
↓ 1 callersClassKNNGroup
model/lib/point_utils.py:68
↓ 1 callersClassMlp
MLP as used in Vision Transformer, MLP-Mixer and related networks
model/LLM/onellm.py:206
↓ 1 callersClassModelArgs
model/LLM/onellm.py:30
↓ 1 callersClassPairNormalize
data/data_utils.py:40
↓ 1 callersClassPairRandomResizedCrop
data/data_utils.py:29
↓ 1 callersClassPairToTensor
data/data_utils.py:35
↓ 1 callersClassPretrainDataset
data/pretrain_dataset.py:98
↓ 1 callersClassSpatialCrop
Convert the video into 3 smaller clips spatially. Must be used after the temporal crops to get spatial crops, and should be used with
data/video_utils.py:102
↓ 1 callersClassTransformer
model/LLM/onellm.py:226
ClassBallQuery
model/lib/pointnet2/pointnet2_utils.py:200
ClassBatchNorm2d
model/lib/pointnet2/pytorch_utils.py:120
ClassConv1d
model/lib/pointnet2/pytorch_utils.py:126
ClassFC
model/lib/pointnet2/pytorch_utils.py:200
ClassFurthestPointSampling
model/lib/point_utils.py:115
ClassFurthestPointSampling
model/lib/pointnet2/pointnet2_utils.py:10
ClassGatherOperation
model/lib/pointnet2/pointnet2_utils.py:39
ClassGroupAll
model/lib/pointnet2/pointnet2_utils.py:267
ClassGroupingOperation
model/lib/point_utils.py:25
ClassGroupingOperation
model/lib/pointnet2/pointnet2_utils.py:156
ClassMetricLogger
util/misc.py:101
ClassNativeScalerWithGradNormCount
util/misc.py:310
ClassPointnetFPModule
r"""Propigates the features of one set to another
model/lib/pointnet2/pointnet2_modules.py:116
ClassPointnetSAModule
Pointnet set abstraction layer
model/lib/pointnet2/pointnet2_modules.py:95
ClassPointnetSAModuleMSG
Pointnet set abstraction layer with multiscale grouping
model/lib/pointnet2/pointnet2_modules.py:58
ClassQueryAndGroup
model/lib/pointnet2/pointnet2_utils.py:231
ClassSeparatorStyle
Different separator style.
data/conversation_lib.py:6
ClassSharedMLP
model/lib/pointnet2/pytorch_utils.py:5
ClassThreeInterpolate
model/lib/pointnet2/pointnet2_utils.py:108
ClassThreeNN
model/lib/pointnet2/pointnet2_utils.py:76
Class_BNBase
model/lib/pointnet2/pytorch_utils.py:104
Class_ConvBase
model/lib/pointnet2/pytorch_utils.py:35
Class_PointnetSAModuleBase
model/lib/pointnet2/pointnet2_modules.py:10