class_docstr: Tests for the load_and_remap_matrix() op.
code: def setUp(self):
      ops.reset_default_graph()
      self.old_num_rows = 5
      self.old_num_cols = 16
      self.matrix_value = np.reshape(
          range(0, self.old_num_rows * self.old_num_cols),
          (self.old_num_rows, self.old_num_cols),
      )
      with variable_scope.variable_scope("some_scope"):
          matrix = variable_scope.get_variable(
              "matrix",
              dtype=dtypes.float32,
              initializer=constant_op.constant(
                  self.matrix_value, dtype=dtypes.float32
              ),
          )
          self.old_tensor_name = "some_scope/matrix"
  
      save = saver.Saver([matrix])
      with self.cached_session() as sess:
          self.evaluate(variables.global_variables_initializer())
          self.bundle_file = os.path.join(
              test.get_temp_dir(), "bundle_checkpoint"
          )
          save.save(sess, self.bundle_file)
  
imports: import os
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gen_checkpoint_ops
  from tensorflow.python.ops import partitioned_variables
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import flags
  from tensorflow.python.platform import test
  from tensorflow.python.training import saver
label_desc: Use image node_id 1 for calling the LoadAndRemapMatrixTest obj's underlying member method code with example usage: obj.setUp() without return types