code: def _stack(x, filters, blocks, scope=None):
      for i in range(1, blocks + 1):
          x = conv(x, filters, 3, scope=str(i))
      x = max_pool2d(x, 2, stride=2)
      return x
  
file_path: tensornets/tensornets/vggs.py
imports: from __future__ import absolute_import
  from __future__ import division
  import tensorflow
  from .layers import conv2d
  from .layers import dropout
  from .layers import flatten
  from .layers import fc
  from .layers import max_pool2d
  from .layers import convrelu
  from .ops import *
  from .utils import set_args
  from .utils import var_scope
label_desc: Use image node_id 2 for calling a global function with example usage: _stack(x, filters, blocks, scope) and returns: x