code: def gen_sineembed_for_position(pos_tensor, pos_feat):
      # n_query, bs, _ = pos_tensor.size()
      # sineembed_tensor = torch.zeros(n_query, bs, 256)
      scale = 2 * math.pi
      dim_t = torch.arange(
          pos_feat, dtype=torch.float32, device=pos_tensor.device
      )
      dim_t = 10000 ** (2 * (dim_t // 2) / pos_feat)
      x_embed = pos_tensor[:, :, 0] * scale
      y_embed = pos_tensor[:, :, 1] * scale
      pos_x = x_embed[:, :, None] / dim_t
      pos_y = y_embed[:, :, None] / dim_t
      pos_x = torch.stack(
          (pos_x[:, :, 0::2].sin(), pos_x[:, :, 1::2].cos()), dim=3
      ).flatten(2)
      pos_y = torch.stack(
          (pos_y[:, :, 0::2].sin(), pos_y[:, :, 1::2].cos()), dim=3
      ).flatten(2)
      if pos_tensor.size(-1) == 2:
          pos = torch.cat((pos_y, pos_x), dim=2)
      elif pos_tensor.size(-1) == 4:
          w_embed = pos_tensor[:, :, 2] * scale
          pos_w = w_embed[:, :, None] / dim_t
          pos_w = torch.stack(
              (pos_w[:, :, 0::2].sin(), pos_w[:, :, 1::2].cos()), dim=3
          ).flatten(2)
  
          h_embed = pos_tensor[:, :, 3] * scale
          pos_h = h_embed[:, :, None] / dim_t
          pos_h = torch.stack(
              (pos_h[:, :, 0::2].sin(), pos_h[:, :, 1::2].cos()), dim=3
          ).flatten(2)
  
          pos = torch.cat((pos_y, pos_x, pos_w, pos_h), dim=2)
      else:
          raise ValueError(
              "Unknown pos_tensor shape(-1):{}".format(
                  pos_tensor.size(-1)
              )
          )
      return pos
  
imports: import math
  import warnings
  import torch
  import torch.nn
  from mmcv.cnn import build_norm_layer
  from mmcv.cnn.bricks.transformer import BaseTransformerLayer, TransformerLayerSequence, build_transformer_layer_sequence
  from mmcv.ops import MultiScaleDeformableAttention
  from mmengine.model import BaseModule
  from mmengine.model.weight_init import xavier_init
  from torch.nn.init import normal_
  from mmdet.models.layers.transformer import inverse_sigmoid
  from mmdet.registry import MODELS
label_desc: Use image node_id 3 for calling the DinoTransformerDecoder obj's underlying member method code with example usage: obj.gen_sineembed_for_position(pos_tensor, pos_feat) and returns: pos