class_docstr: Tests for the load_and_remap_matrix() op.
  
  (Specifically focused on the max_rows_in_memory arg and its effects on
  TensorBundle's BundleReader and TensorSlice logic).
docstr: Tests loading normal var when rows are evenly divisible by max_rows.
docstr_tok: ["Tests","loading","normal","var","when","rows","are","evenly","divisible","by","max_rows","."]
code: def test_loading_rows_divisible_by_max_rows(self):
      """Tests loading normal var when rows are evenly divisible by max_rows."""
      self._test_loading_variable_with_max_rows(
          np_value=np.reshape(list(range(0, 36)), (9, 4)),
          partitioner=None,
          # 9 is evenly divisible by 3.
          max_rows_in_memory=3,
      )
  
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 2 for calling the LoadAndRemapMatrixWithMaxRowsTest obj's underlying member method code with example usage: obj.test_loading_rows_divisible_by_max_rows() without return types