code: def get_posemb(self, typ, seqshape, width, name, dtype=jnp.float32):
      if typ == "learn":
          return self.param(
              name,
              nn.initializers.normal(stddev=1 / np.sqrt(width)),
              (1, np.prod(seqshape), width),
              dtype,
          )
      elif typ == "sincos2d":
          return posemb_sincos_2d(*seqshape, width, dtype=dtype)
      else:
          raise ValueError(f"Unknown posemb type: {typ}")
  
imports: import functools
  from typing import Any, Optional
  from absl import logging
  import flax
  import flax.linen
  from flax.training import common_utils
  import jax.numpy
  import ml_collections
  import numpy
  from scenic.model_lib.base_models import base_model
  from scenic.model_lib.base_models import classification_model
  from scenic.model_lib.base_models import model_utils
  from scenic.model_lib.base_models import multilabel_classification_model
  from scenic.model_lib.layers import nn_layers
  import scipy
label_desc: Use image node_id 2 for calling a global function with example usage: get_posemb(typ, seqshape, width, name, dtype) and returns: self, posemb_sincos_2d