class_docstr: Tests for the load_and_remap_matrix() op.
docstr: Tests the op's load and remap where there are missing entries.
docstr_tok: ["Tests","the","op","'s","load","and","remap","where","there","are","missing","entries","."]
code: def test_load_and_remap_with_init(self):
      """Tests the op's load and remap where there are missing entries."""
      init_val = 42
      remapped_matrix = gen_checkpoint_ops.load_and_remap_matrix(
          ckpt_path=[self.bundle_file],
          old_tensor_name=self.old_tensor_name,
          row_remapping=[2, -1, 0],
          col_remapping=[1, -1],
          initializing_values=[init_val] * 4,
          num_rows=3,
          num_cols=2,
      )
  
      expected_remapped_matrix = np.reshape(
          [33, init_val, init_val, init_val, 1, init_val], [3, 2]
      )
  
      with self.cached_session():
          self.assertAllClose(
              expected_remapped_matrix, self.evaluate(remapped_matrix)
          )
  
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 3 for calling the LoadAndRemapMatrixTest obj's underlying member method code with example usage: obj.test_load_and_remap_with_init() without return types