class_docstr: Optimizer that implements the LAMBOptimizer as tf.train.Optimizer.
code: def _apply_sparse(self, grad, var):
      return self._apply_sparse_shared(
          grad.values,
          var,
          grad.indices,
          lambda x, i, v: state_ops.scatter_add(  # pylint: disable=g-long-lambda
              x, i, v, use_locking=self._use_locking
          ),
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import re
  import tensorflow.compat.v1
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.ops import state_ops
  from tensorflow.python.training import optimizer
label_desc: Use image node_id 9 for calling the LAMBOptimizer obj's underlying member method code with example usage: obj._apply_sparse(grad, var) and returns: self