class_docstr: Inception-V3
      
class_docstr_tok: ["Inception-V3"]
code: def forward_preaux(self, x):
      x = self.Conv2d_1a_3x3(x)  # N x 32 x 149 x 149
      x = self.Conv2d_2a_3x3(x)  # N x 32 x 147 x 147
      x = self.Conv2d_2b_3x3(x)  # N x 64 x 147 x 147
      x = self.Pool1(x)  # N x 64 x 73 x 73
      x = self.Conv2d_3b_1x1(x)  # N x 80 x 73 x 73
      x = self.Conv2d_4a_3x3(x)  # N x 192 x 71 x 71
      x = self.Pool2(x)  # N x 192 x 35 x 35
      x = self.Mixed_5b(x)  # N x 256 x 35 x 35
      x = self.Mixed_5c(x)  # N x 288 x 35 x 35
      x = self.Mixed_5d(x)  # N x 288 x 35 x 35
      x = self.Mixed_6a(x)  # N x 768 x 17 x 17
      x = self.Mixed_6b(x)  # N x 768 x 17 x 17
      x = self.Mixed_6c(x)  # N x 768 x 17 x 17
      x = self.Mixed_6d(x)  # N x 768 x 17 x 17
      x = self.Mixed_6e(x)  # N x 768 x 17 x 17
      return x
  
imports: from functools import partial
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.data import IMAGENET_DEFAULT_STD, IMAGENET_DEFAULT_MEAN, IMAGENET_INCEPTION_MEAN, IMAGENET_INCEPTION_STD
  from timm.layers import trunc_normal_, create_classifier, Linear, ConvNormAct
  from ._builder import build_model_with_cfg
  from ._builder import resolve_pretrained_cfg
  from ._manipulate import flatten_modules
  from ._registry import register_model, generate_default_cfgs, register_model_deprecations
label_desc: Use image node_id 6 for calling the InceptionV3 obj's underlying member method code with example usage: obj.forward_preaux(x) and returns: x