API Reference# This section provides detailed API documentation for all modules in the Vision Architectures library. Blocks Squeeze and Excitation Heads3D MBConv3D Transformer CNN Image Readers SafeTensorsReader Layers Embeddings Attention Latent Space Upsample / Downsample Codebook Loss Functions ClassBalancedCrossEntropyLoss Metrics Detection Nets Perceiver3D UperNet3D DETR3D MaxViT3D FPN3D SymSwin3D SwinV23D ViT3D UNetR3DDecoder UperNet2D FPN2D CaiT3D Swin3D Schedulers Noise Sigmoid Cyclic Learning Rate Schedulers Transforms CropPad Clipping Spatial Resize Utils Clamping / Clipping Bounding Boxes Pipeline Parallelism Residual Connections Normalizations Rearrange ActivationCheckpointing Tensor Splitter and Merger CustomBaseModel Exponential Moving Average (EMA) Timesteps Activations