class_docstr: Vision Transformer with support for patch input
      
class_docstr_tok: ["Vision","Transformer","with","support","for","patch","input"]
code: def get_2d_sincos_position_embedding(self, h, w, temperature=10000.0):
      grid_y, grid_x = paddle.meshgrid(
          paddle.arange(h, dtype=paddle.float32),
          paddle.arange(w, dtype=paddle.float32),
      )
      assert (
          self.embed_dim % 4 == 0
      ), "Embed dimension must be divisible by 4 for 2D sin-cos position embedding"
      pos_dim = self.embed_dim // 4
      omega = paddle.arange(pos_dim, dtype=paddle.float32) / pos_dim
      omega = (1.0 / (temperature**omega)).unsqueeze(0)
  
      out_x = grid_x.reshape([-1, 1]).matmul(omega)
      out_y = grid_y.reshape([-1, 1]).matmul(omega)
  
      pos_emb = paddle.concat(
          [
              paddle.sin(out_y),
              paddle.cos(out_y),
              paddle.sin(out_x),
              paddle.cos(out_x),
          ],
          axis=1,
      )
  
      return pos_emb.reshape([1, h, w, self.embed_dim])
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  import numpy
  import math
  from paddle import ParamAttr
  from paddle.regularizer import L2Decay
  from paddle.nn.initializer import Constant, TruncatedNormal
  from ppdet.modeling.shape_spec import ShapeSpec
  from ppdet.core.workspace import register, serializable
  from .transformer_utils import zeros_, DropPath, Identity, window_partition, window_unpartition
  from ..initializer import linear_init_
label_desc: Use image node_id 6 for calling the VisionTransformer2D obj's underlying member method code with example usage: obj.get_2d_sincos_position_embedding(h, w, temperature) and returns: pos_emb