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