class_docstr: An object representing a size for an image feature inside a
  neural network. Valid sizess for height and width are > 0.
class_docstr_tok: ["An","object","representing","a","size","for","an","image","feature","inside","a","neural","network",".","Valid","sizess","for","height","and","width","are",">","0","."]
code: def width(self):
      return self._width.value
  
imports: from ..utils import _get_feature, _get_nn_layers, _get_input_names
  from ...None import _MINIMUM_FLEXIBLE_SHAPES_SPEC_VERSION
  from ...None import _MINIMUM_NDARRAY_SPEC_VERSION
label_desc: Use image node_id 4 for calling the NeuralNetworkImageSize obj's underlying member method code with example usage: obj.width() and returns: self