class_docstr: Tests for the load_and_remap_matrix() op.
docstr: Tests when all the rows are missing and need to be initialized.
docstr_tok: ["Tests","when","all","the","rows","are","missing","and","need","to","be","initialized","."]
code: def test_load_and_remap_all_missing_rows(self):
      """Tests when all the rows are missing and need to be initialized."""
      num_rows = 7
      initializing_values = [42] * num_rows * self.old_num_cols
      remapped_matrix = gen_checkpoint_ops.load_and_remap_matrix(
          ckpt_path=[self.bundle_file],
          old_tensor_name=self.old_tensor_name,
          row_remapping=[-1] * num_rows,
          col_remapping=[],
          initializing_values=initializing_values,
          num_rows=num_rows,
          num_cols=self.old_num_cols,
      )
      with self.cached_session():
          self.assertAllClose(
              np.reshape(
                  initializing_values, (num_rows, self.old_num_cols)
              ),
              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 4 for calling the LoadAndRemapMatrixTest obj's underlying member method code with example usage: obj.test_load_and_remap_all_missing_rows() without return types