pypto-case-norm-batchnorm

What problem does it solve?

This 3D BatchNorm pattern demonstrates how to perform per-channel normalization on a batched 3D tensor using Pypto, illustrating dimensionality reduction and broadcast-enabled operations.

Core Features & Use Cases

• Demonstrates 3D normalization across (B, C, spatial) with multi-axis reductions.
• Shows how to use loop-based channel-wise processing and expand_clone broadcasting to restore shapes.
• Use Case: a compact example for validating Pypto's norm, reduction, and broadcast capabilities in 3D workloads.

Quick Start

Run the Pypto 3D BatchNorm example to verify channel-wise normalization on a sample input.