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hub / github.com/JIA-Lab-research/LongLoRA / types & classes

Types & classes28 in github.com/JIA-Lab-research/LongLoRA

↓ 5 callersClassBEiT
Vision Transformer with support for patch or hybrid CNN input stage
pdf2txt/beit.py:398
↓ 1 callersClassAttention
pdf2txt/beit.py:78
↓ 1 callersClassBlock
pdf2txt/beit.py:209
↓ 1 callersClassCastOutputToFloat
supervised-fine-tune-qlora.py:329
↓ 1 callersClassDataCollatorForSupervisedDataset
Collate examples for supervised fine-tuning.
supervised-fine-tune-qlora.py:210
↓ 1 callersClassDataCollatorForSupervisedDataset
Collate examples for supervised fine-tuning.
supervised-fine-tune.py:209
↓ 1 callersClassDistributedEvaluator
eval_distributed.py:86
↓ 1 callersClassDropPath
Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).
pdf2txt/beit.py:43
↓ 1 callersClassEvalMetricImpl
eval_distributed.py:128
↓ 1 callersClassHybridEmbed
CNN Feature Map Embedding Extract feature map from CNN, flatten, project to embedding dim.
pdf2txt/beit.py:280
↓ 1 callersClassMlp
pdf2txt/beit.py:58
↓ 1 callersClassPatchEmbed
Image to Patch Embedding
pdf2txt/beit.py:243
↓ 1 callersClassPg19Dataset
eval_distributed.py:46
↓ 1 callersClassRelativePositionBias
pdf2txt/beit.py:316
↓ 1 callersClassStartRecentKVCache
streaming_llm/kv_cache.py:23
↓ 1 callersClassSupervisedDataset
Dataset for supervised fine-tuning.
supervised-fine-tune-qlora.py:178
↓ 1 callersClassSupervisedDataset
Dataset for supervised fine-tuning.
supervised-fine-tune.py:177
↓ 1 callersClassVIT_Backbone
Implement VIT backbone.
pdf2txt/backbone.py:30
ClassDataArguments
supervised-fine-tune-qlora.py:87
ClassDataArguments
supervised-fine-tune.py:86
ClassEvalArguments
eval_distributed.py:161
ClassEvalMetric
eval_distributed.py:76
ClassModelArguments
fine-tune.py:42
ClassModelArguments
supervised-fine-tune-qlora.py:81
ClassModelArguments
supervised-fine-tune.py:80
ClassTrainingArguments
fine-tune.py:47
ClassTrainingArguments
supervised-fine-tune-qlora.py:92
ClassTrainingArguments
supervised-fine-tune.py:91