FrozenBatchNorm2d

class torchvision.ops.FrozenBatchNorm2d(num_features: int, eps: float = 1e-05)

BatchNorm2d where the batch statistics and the affine parameters are fixed

Parameters

• num_features (int) – Number of features C from an expected input of size (N, C, H, W)

• eps (float) – a value added to the denominator for numerical stability. Default: 1e-5

forward(x: torch.Tensor) → torch.Tensor

Defines the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.