code: def __init__(self, hidden_dim=32, dim=768, temperature=10000):
      super().__init__()
      self.token_projection = nn.Conv2d(
          hidden_dim * 2, dim, kernel_size=1
      )
      self.scale = 2 * math.pi
      self.temperature = temperature
      self.hidden_dim = hidden_dim
      self.dim = dim
  
imports: import math
  from collections import OrderedDict
  from functools import partial
  from typing import Tuple
  import torch
  import torch.nn.functional
  from torch import nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import trunc_normal_tf_, DropPath, LayerNorm2d, Mlp, SelectAdaptivePool2d, create_conv2d, use_fused_attn, NormMlpClassifierHead, ClassifierHead
  from ._builder import build_model_with_cfg
  from ._features_fx import register_notrace_module
  from ._manipulate import named_apply, checkpoint_seq
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 1 to create a new PositionalEncodingFourier object from inherited base classes: nn with example: obj = PositionalEncodingFourier(hidden_dim, dim, temperature)