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Reading ViT (Vision Transformer) PyTorch source code
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Vision Transformer is one of the two most popular transformer-based, huge models for image recognition (second one being Swin). It is considered a heavy-weight replacement for cnn-based models like ResNet.
ViT has 2 main implementations: the original one, from Google, written in Flax, and the one from PyTorch team. PyTorch one opensourced training code as well as inference/finetuning, so this is the one I will go over in the video.
Important links:
00:00 - Intro
02:09 - Lineage and Model Versions
06:22 - Installation and Debugging Setup
19:00 - Data Loading and Augmentations
26:31 - Model Inference Code
38:45 - Training Code
42:12 - Next Up
ViT has 2 main implementations: the original one, from Google, written in Flax, and the one from PyTorch team. PyTorch one opensourced training code as well as inference/finetuning, so this is the one I will go over in the video.
Important links:
00:00 - Intro
02:09 - Lineage and Model Versions
06:22 - Installation and Debugging Setup
19:00 - Data Loading and Augmentations
26:31 - Model Inference Code
38:45 - Training Code
42:12 - Next Up
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