Module batchnorm 

Batch Normalization Layer

Implements batch normalization with learned scale (gamma) and shift (beta) parameters: y = gamma * (x - mean) / sqrt(var + epsilon) + beta

During inference, uses running mean and variance computed during training.

Structs

BatchNorm

Batch Normalization layer

Type Aliases

BatchNorm2d

Alias for BatchNorm (for API compatibility with PyTorch naming).