code: def posemb_sincos_1d(patches, temperature=10000, dtype=torch.float32):
      _, n, dim, device, dtype = (
          *patches.shape,
          patches.device,
          patches.dtype,
      )
  
      n = torch.arange(n, device=device)
      assert (
          dim % 2
      ) == 0, "feature dimension must be multiple of 2 for sincos emb"
      omega = torch.arange(dim // 2, device=device) / (dim // 2 - 1)
      omega = 1.0 / (temperature**omega)
  
      n = n.flatten()[:, None] * omega[None, :]
      pe = torch.cat((n.sin(), n.cos()), dim=1)
      return pe.type(dtype)
  
imports: import torch
  from torch import nn
  from einops import rearrange
  from einops.layers.torch import Rearrange
label_desc: Use image node_id 1 for calling a global function with example usage: posemb_sincos_1d(patches, temperature, dtype) and returns: pe