class_docstr: The conv vision transformer stem as per https://arxiv.org/abs/2106.14881.
class_docstr_tok: ["The","conv","vision","transformer","stem","as","per","https",":","\/\/arxiv.org\/abs\/2106.14881","."]
code: def forward(self, x):
      for layer in self.children():
          x = layer(x)
      return x
  
imports: import math
  import numpy
  import torch
  from pycls.core.config import cfg
  from pycls.models.blocks import activation, conv2d, conv2d_cx, layernorm, layernorm_cx, linear, linear_cx, MultiheadAttention, norm2d, norm2d_cx, patchify2d, patchify2d_cx
  from torch.nn import init, Module, Parameter
label_desc: Use image node_id 2 for calling the ViTStemConv obj's underlying member method code with example usage: obj.forward(x) and returns: x