build_conv_stack
python
build_conv_stack(*, input_channels: int, conv_filters: list[ConvFilter], activation: type[nn.Module]) -> nn.SequentialBuild the convolutional feature extractor for the DQN model.
Parameters:
input_channels(int) – Number of input channels.conv_filters(list[ConvFilter]) – Sequence of(out_channels, kernel, stride)tuples.activation(type[Module]) – Activation module type to insert after each convolution.
Returns:
Sequential– Convolutional stack asnn.Sequential.