code: def Conv1x1(channels, is_linear=False, **kwargs):
      out = nn.HybridSequential(**kwargs)
      with out.name_scope():
          out.add(
              nn.Conv2D(channels, 1, padding=0, use_bias=False),
              nn.BatchNorm(scale=True),
          )
          if not is_linear:
              # out.add(nn.Activation('relu'))
              out.add(Act())
      return out
  
imports: import sys
  import os
  import mxnet
  import mxnet.ndarray
  import mxnet.gluon
  import mxnet.gluon.nn
  import mxnet.autograd
  import symbol_utils
  from config import config
label_desc: Use image node_id 3 for calling a global function with example usage: Conv1x1(channels, is_linear) and returns: out