class_docstr: Class for using optimization to acquire feature grid.
class_docstr_tok: ["Class","for","using","optimization","to","acquire","feature","grid","."]
code: def feature_grid(self):
      with self.graph.as_default():
          return self.sess.run(self.feat_grid)
  
imports: import os
  import numpy
  from skimage import measure
  import tensorflow.compat.v1
  from tensorflow_graphics.projects.local_implicit_grid.core import evaluator
  from tensorflow_graphics.projects.local_implicit_grid.core import local_implicit_grid_layer
  from tensorflow_graphics.projects.local_implicit_grid.core import point_utils
label_desc: Use image node_id 7 for calling the LIGOptimizer obj's underlying member method code with example usage: obj.feature_grid() and returns: self