code: def hsv_to_rgb(hsv: Tensor) -> Tensor:
      """
      Convert from HSV colorspace to RGB.
  
      Args:
          hsv: A 4-dimensional tensor in hue, saturation, vue colorspace.
  
      Returns:
          A f-dimensional tensor in red, green, blue colorspace.
      """
      if not hsv.ndim == 4:
          raise ValueError(
              "Only implemented for 4-dimensional tensors."
          )
      if not hsv.shape[1] == 3:
          raise ValueError(
              "Expected channel dimension to be of size 3 for H, S, V."
          )
      if hsv[:, 0].min() < 0.0 or hsv[:, 0].max() > 360.0:
          raise ValueError(
              "Hue angle not in expected 0 to 360 degree range."
          )
      if hsv[:, 1:].min() < 0.0 or hsv[:, 1:].max() > 1.0:
          raise ValueError(
              "Saturation or vue outside expected 0.0 to 1.0 range."
          )
  
      # from Wikipedia, hsv to rgb alternative
  
      def convert_fn(n):
          k = torch.fmod(n + hsv[:, 0] / 60, 6)
          return hsv[:, 2] - hsv[:, 2] * hsv[:, 1] * torch.max(
              torch.zeros_like(k),
              torch.min(torch.min(k, 4 - k), torch.ones_like(k)),
          )
  
      return torch.stack(
          (convert_fn(5), convert_fn(3), convert_fn(1)), dim=1
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: hsv_to_rgb(hsv) and returns: torch, unknown