class ezflow.modules.models.recurrent.ConvGRU(hidden_dim=128, input_dim=320, kernel_size=3)[source]

Convolutinal GRU layer

  • hidden_dim (int, optional) – Hidden dimension of the GRU

  • input_dim (int, optional) – Input dimension of the GRU

  • kernel_size (int, optional) – Kernel size of the convolutional layers

forward(h, x)[source]

Defines the computation performed at every call.

Should be overridden by all subclasses.


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.