code: def forward(self, x):
      # Repeat incoming image stride(w/h) times to match the strided output template.
      repeated_x = (
          x.repeat_interleave(self.stride_w, dim=-2).repeat_interleave(
              self.stride_h, dim=-1
          )
      )[:, :, : -(self.stride_w - 1), : -(self.stride_h - 1)]
      # Where `self.where_template` == 1.0 -> Use image pixel, otherwise use
      # zero filler value.
      return torch.where(self.where_template, repeated_x, self.zeros)
  
imports: from ray.rllib.utils.framework import try_import_torch
label_desc: Use image node_id 2 for calling the Stride2D obj's underlying member method code with example usage: obj.forward(x) and returns: torch