class_docstr: Global feature extractor module
class_docstr_tok: ["Global","feature","extractor","module"]
code: def _make_layer(
      self,
      block,
      inplanes,
      planes,
      blocks,
      t=6,
      stride=1,
      norm_layer=nn.BatchNorm,
      norm_kwargs=None,
  ):
      layers = nn.HybridSequential()
      with layers.name_scope():
          layers.add(
              block(
                  inplanes, planes, t, stride, norm_layer, norm_kwargs
              )
          )
          for i in range(1, blocks):
              layers.add(
                  block(planes, planes, t, 1, norm_layer, norm_kwargs)
              )
      return layers
  
imports: from mxnet.context import cpu
  from mxnet.gluon.block import HybridBlock
  from mxnet.gluon import nn
label_desc: Use image node_id 2 for calling the GlobalFeatureExtractor obj's underlying member method code with example usage: obj._make_layer(block, inplanes, planes, blocks, t, stride, norm_layer, norm_kwargs) and returns: layers