docstr: load.
  
  Restore model from the given path.
  
  Args:
      load_path: `str`. The model path.
docstr_tok: ["load",".","Restore","model","from","the","given","path",".","Args",":","load_path",":","`","str","`",".","The","model","path","."]
code: def load(self, load_path):
      """load.
  
      Restore model from the given path.
  
      Args:
          load_path: `str`. The model path.
  
      """
      with self.graph.as_default():
          self.session = tf.Session()
          if self._estimator_built:
              self.saver.restore(
                  self.session, os.path.abspath(load_path)
              )
          else:
              self._to_be_restored = os.path.abspath(load_path)
  
imports: from __future__ import division, print_function, absolute_import
  from datetime import datetime
  import os
  import math
  import numpy
  import time
  import tensorflow.compat.v1
  from tensorflow.contrib.factorization.python.ops import clustering_ops
  from tensorflow.contrib.tensor_forest.python.ops import data_ops
  from tensorflow.python.ops import state_ops, array_ops, math_ops
  from ...utils import validate_dim, read_tensor_in_checkpoint, prepare_X
  from ...data_utils import get_num_features, get_num_sample
  from ...data_flow import generate_data_tensor
  from ...distances import euclidean, cosine
  from ..base import BaseEstimator
label_desc: Use image node_id 16 for calling the KMeansBase obj's underlying member method code with example usage: obj.load(load_path) without return types