class_docstr: Mixed absolute position embedding add operation.
  
  Supported arguments are:
  
  - ``embed_dim``
  
  Prefix of pos_embed will be sliced.
code: def super_init_argument(
      self, name: str, value_choice: MutableExpression
  ):
      return max(value_choice.grid())
  
imports: from __future__ import annotations
  from typing import Tuple, cast, Any, Dict
  import torch
  import torch.nn
  import torch.nn.functional
  import nni
  from nni.mutable import Categorical, MutableExpression, frozen_context, ensure_frozen, Mutable
  from nni.nas.nn.pytorch import ParametrizedModule, ModelSpace, MutableModule, Repeat, MutableConv2d, MutableLinear, MutableLayerNorm
  from nni.nas.space import current_model
  from nni.nas.oneshot.pytorch.supermodule.operation import MixedOperation
  from nni.nas.profiler.pytorch.flops import FlopsResult
  from nni.nas.profiler.pytorch.utils import MutableShape, ShapeTensor, profiler_leaf_module
  from .utils.pretrained import load_pretrained_weight
  from .utils.nn import DropPath
label_desc: Use image node_id 1 for calling the MixedAbsolutePositionEmbedding obj's underlying member method code with example usage: obj.super_init_argument(name, value_choice) and returns: max