class_docstr: Nested Transformer (NesT)
  
  A PyTorch impl of : `Aggregating Nested Transformers`
      - https://arxiv.org/abs/2105.12723
class_docstr_tok: ["Nested","Transformer","(","NesT",")","A","PyTorch","impl","of",":","`","Aggregating","Nested","Transformers","`","-","https",":","\/\/arxiv.org\/abs\/2105.12723"]
code: def forward(self, x):
      x = self.forward_features(x)
      x = self.forward_head(x)
      return x
  
imports: import collections.abc
  import logging
  import math
  from functools import partial
  import torch
  import torch.nn.functional
  from torch import nn
  from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
  from timm.layers import PatchEmbed, Mlp, DropPath, create_classifier, trunc_normal_, _assert
  from timm.layers import create_conv2d, create_pool2d, to_ntuple, use_fused_attn, LayerNorm
  from ._builder import build_model_with_cfg
  from ._features_fx import register_notrace_function
  from ._manipulate import checkpoint_seq, named_apply
  from ._registry import register_model, generate_default_cfgs, register_model_deprecations
label_desc: Use image node_id 10 for calling the Nest obj's underlying member method code with example usage: obj.forward(x) and returns: x