Types & classes — github.com/Seunggu0305/VLCounter

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Types & classes17 in github.com/Seunggu0305/VLCounter

⨍ Functions 81 ◇ Types & classes 17

↓ 13 callersClassLayerNorm

Subclass torch's LayerNorm to handle fp16.

tools/models/Encoder_utils.py:7

↓ 5 callersClassCounter

tools/models/VLCounter.py:51

↓ 5 callersClassUpConv

tools/models/VLCounter.py:32

↓ 4 callersClassTransformer

tools/models/Encoder_utils.py:135

↓ 3 callersClassAttention

tools/models/Encoder_utils.py:35

↓ 2 callersClassResidualAttentionBlock

tools/models/Encoder_utils.py:82

↓ 2 callersClasslistDataset

tools/dataset/datasets.py:235

↓ 1 callersClassCLIPTextEncoder

tools/models/Text_Encoder.py:9

↓ 1 callersClassMainTransform

tools/dataset/datasets.py:147

↓ 1 callersClassQuickGELU

tools/models/Encoder_utils.py:16

↓ 1 callersClassResizeTrainImage

Resize the image so that: 1. Image is equal to 384 * 384 2. The new height and new width are divisible by 16 3. The aspec

tools/dataset/datasets.py:37

↓ 1 callersClassSimpleTokenizer

tools/dataset/tokenizer.py:65

ClassCLIPVisionTransformer

tools/models/ViT_Encoder.py:12

Drop paths (Stochastic Depth) per sample (when applied in main path of residual blocks).

tools/models/Encoder_utils.py:21

ClassSPTCLIPVisionTransformer

tools/models/ViT_Encoder_add.py:13

ClassTransformer_v2

tools/models/Encoder_utils.py:152

ClassVPTCLIPVisionTransformer

tools/models/ViT_Encoder.py:137