docstr: Initialize a param to init and update it with y.
docstr_tok: ["Initialize","a","param","to","init","and","update","it","with","y","."]
code: def _initAssignFetch(self, x, y, use_gpu):
      """Initialize a param to init and update it with y."""
      super(AssignOpTest, self).setUp()
      with test_util.device(use_gpu=use_gpu):
          p = variables.Variable(x)
          assign = state_ops.assign(p, y)
          self.evaluate(p.initializer)
          new_value = self.evaluate(assign)
          return self.evaluate(p), new_value
  
file_path: tensorflow-upstream/tensorflow/python/kernel_tests/variables/dense_update_ops_test.py
imports: import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import state_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the AssignOpTest obj's underlying member method code with example usage: obj._initAssignFetch(x, y, use_gpu) and returns: self,  new_value