class_docstr: Dense layer with spectral normalization applied to weights, as in.
  
  [BJC19]_.
code: def weight(self):
      return self._spectral_norm(
          self._weight.data(self._ctx), self._u.data(self._ctx)
      )
  
file_path: gluonts/src/gluonts/mx/block/sndense.py
imports: from typing import Optional
  import mxnet
  from mxnet import nd
  from mxnet import autograd
  from mxnet import init
  from gluonts.core.component import validated
  from gluonts.mx.context import get_mxnet_context
  from gluonts.mx import Tensor
  from gluonts.mx.activation import get_activation
label_desc: Use image node_id 2 for calling the SNDense obj's underlying member method code with example usage: obj.weight() and returns: self