Python object_detection.core.matcher.Match() Examples

The following are 30 code examples of object_detection.core.matcher.Match(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module object_detection.core.matcher , or try the search function .
Example #1
Source File: matcher_test.py    From ros_people_object_detection_tensorflow with Apache License 2.0 6 votes vote down vote up 
def test_get_correct_counts(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    exp_num_matched_columns = 4
    exp_num_unmatched_columns = 2
    exp_num_ignored_columns = 1
    num_matched_columns = match.num_matched_columns()
    num_unmatched_columns = match.num_unmatched_columns()
    num_ignored_columns = match.num_ignored_columns()
    self.assertEquals(num_matched_columns.dtype, tf.int32)
    self.assertEquals(num_unmatched_columns.dtype, tf.int32)
    self.assertEquals(num_ignored_columns.dtype, tf.int32)
    with self.test_session() as sess:
      (num_matched_columns_out, num_unmatched_columns_out,
       num_ignored_columns_out) = sess.run(
           [num_matched_columns, num_unmatched_columns, num_ignored_columns])
      self.assertAllEqual(num_matched_columns_out, exp_num_matched_columns)
      self.assertAllEqual(num_unmatched_columns_out, exp_num_unmatched_columns)
      self.assertAllEqual(num_ignored_columns_out, exp_num_ignored_columns)
Example #2
Source File: matcher_test.py    From Person-Detection-and-Tracking with MIT License 6 votes vote down vote up 
def test_get_correct_counts(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    exp_num_matched_columns = 4
    exp_num_unmatched_columns = 2
    exp_num_ignored_columns = 1
    num_matched_columns = match.num_matched_columns()
    num_unmatched_columns = match.num_unmatched_columns()
    num_ignored_columns = match.num_ignored_columns()
    self.assertEquals(num_matched_columns.dtype, tf.int32)
    self.assertEquals(num_unmatched_columns.dtype, tf.int32)
    self.assertEquals(num_ignored_columns.dtype, tf.int32)
    with self.test_session() as sess:
      (num_matched_columns_out, num_unmatched_columns_out,
       num_ignored_columns_out) = sess.run(
           [num_matched_columns, num_unmatched_columns, num_ignored_columns])
      self.assertAllEqual(num_matched_columns_out, exp_num_matched_columns)
      self.assertAllEqual(num_unmatched_columns_out, exp_num_unmatched_columns)
      self.assertAllEqual(num_ignored_columns_out, exp_num_ignored_columns)
Example #3
Source File: matcher_test.py    From vehicle_counting_tensorflow with MIT License 6 votes vote down vote up 
def test_get_correct_counts(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    exp_num_matched_columns = 4
    exp_num_unmatched_columns = 2
    exp_num_ignored_columns = 1
    num_matched_columns = match.num_matched_columns()
    num_unmatched_columns = match.num_unmatched_columns()
    num_ignored_columns = match.num_ignored_columns()
    self.assertEquals(num_matched_columns.dtype, tf.int32)
    self.assertEquals(num_unmatched_columns.dtype, tf.int32)
    self.assertEquals(num_ignored_columns.dtype, tf.int32)
    with self.test_session() as sess:
      (num_matched_columns_out, num_unmatched_columns_out,
       num_ignored_columns_out) = sess.run(
           [num_matched_columns, num_unmatched_columns, num_ignored_columns])
      self.assertAllEqual(num_matched_columns_out, exp_num_matched_columns)
      self.assertAllEqual(num_unmatched_columns_out, exp_num_unmatched_columns)
      self.assertAllEqual(num_ignored_columns_out, exp_num_ignored_columns)
Example #4
Source File: matcher_test.py    From HereIsWally with MIT License 6 votes vote down vote up 
def test_get_correct_counts(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    exp_num_matched_columns = 4
    exp_num_unmatched_columns = 2
    exp_num_ignored_columns = 1
    num_matched_columns = match.num_matched_columns()
    num_unmatched_columns = match.num_unmatched_columns()
    num_ignored_columns = match.num_ignored_columns()
    self.assertEquals(num_matched_columns.dtype, tf.int32)
    self.assertEquals(num_unmatched_columns.dtype, tf.int32)
    self.assertEquals(num_ignored_columns.dtype, tf.int32)
    with self.test_session() as sess:
      (num_matched_columns_out, num_unmatched_columns_out,
       num_ignored_columns_out) = sess.run(
           [num_matched_columns, num_unmatched_columns, num_ignored_columns])
      self.assertAllEqual(num_matched_columns_out, exp_num_matched_columns)
      self.assertAllEqual(num_unmatched_columns_out, exp_num_unmatched_columns)
      self.assertAllEqual(num_ignored_columns_out, exp_num_ignored_columns)
Example #5
Source File: matcher_test.py    From object_detector_app with MIT License 6 votes vote down vote up 
def test_get_correct_counts(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    exp_num_matched_columns = 4
    exp_num_unmatched_columns = 2
    exp_num_ignored_columns = 1
    num_matched_columns = match.num_matched_columns()
    num_unmatched_columns = match.num_unmatched_columns()
    num_ignored_columns = match.num_ignored_columns()
    self.assertEquals(num_matched_columns.dtype, tf.int32)
    self.assertEquals(num_unmatched_columns.dtype, tf.int32)
    self.assertEquals(num_ignored_columns.dtype, tf.int32)
    with self.test_session() as sess:
      (num_matched_columns_out, num_unmatched_columns_out,
       num_ignored_columns_out) = sess.run(
           [num_matched_columns, num_unmatched_columns, num_ignored_columns])
      self.assertAllEqual(num_matched_columns_out, exp_num_matched_columns)
      self.assertAllEqual(num_unmatched_columns_out, exp_num_unmatched_columns)
      self.assertAllEqual(num_ignored_columns_out, exp_num_ignored_columns)
Example #6
Source File: matcher_test.py    From garbage-object-detection-tensorflow with MIT License 6 votes vote down vote up 
def test_get_correct_counts(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    exp_num_matched_columns = 4
    exp_num_unmatched_columns = 2
    exp_num_ignored_columns = 1
    num_matched_columns = match.num_matched_columns()
    num_unmatched_columns = match.num_unmatched_columns()
    num_ignored_columns = match.num_ignored_columns()
    self.assertEquals(num_matched_columns.dtype, tf.int32)
    self.assertEquals(num_unmatched_columns.dtype, tf.int32)
    self.assertEquals(num_ignored_columns.dtype, tf.int32)
    with self.test_session() as sess:
      (num_matched_columns_out, num_unmatched_columns_out,
       num_ignored_columns_out) = sess.run(
           [num_matched_columns, num_unmatched_columns, num_ignored_columns])
      self.assertAllEqual(num_matched_columns_out, exp_num_matched_columns)
      self.assertAllEqual(num_unmatched_columns_out, exp_num_unmatched_columns)
      self.assertAllEqual(num_ignored_columns_out, exp_num_ignored_columns)
Example #7
Source File: matcher_test.py    From DOTA_models with Apache License 2.0 6 votes vote down vote up 
def test_get_correct_counts(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    exp_num_matched_columns = 4
    exp_num_unmatched_columns = 2
    exp_num_ignored_columns = 1
    num_matched_columns = match.num_matched_columns()
    num_unmatched_columns = match.num_unmatched_columns()
    num_ignored_columns = match.num_ignored_columns()
    self.assertEquals(num_matched_columns.dtype, tf.int32)
    self.assertEquals(num_unmatched_columns.dtype, tf.int32)
    self.assertEquals(num_ignored_columns.dtype, tf.int32)
    with self.test_session() as sess:
      (num_matched_columns_out, num_unmatched_columns_out,
       num_ignored_columns_out) = sess.run(
           [num_matched_columns, num_unmatched_columns, num_ignored_columns])
      self.assertAllEqual(num_matched_columns_out, exp_num_matched_columns)
      self.assertAllEqual(num_unmatched_columns_out, exp_num_unmatched_columns)
      self.assertAllEqual(num_ignored_columns_out, exp_num_ignored_columns)
Example #8
Source File: matcher_test.py    From Person-Detection-and-Tracking with MIT License 5 votes vote down vote up 
def test_get_correct_matched_column_indicator(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indicator = [True, True, False, True, False, True, False]
    matched_column_indicator = match.matched_column_indicator()
    self.assertEquals(matched_column_indicator.dtype, tf.bool)
    with self.test_session() as sess:
      matched_column_indicator = sess.run(matched_column_indicator)
      self.assertAllEqual(matched_column_indicator, expected_column_indicator)
Example #9
Source File: matcher_test.py    From Person-Detection-and-Tracking with MIT License 5 votes vote down vote up 
def test_get_correct_ignored_column_indicator(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indicator = [False, False, False, False, False, False, True]
    ignored_column_indicator = match.ignored_column_indicator()
    self.assertEquals(ignored_column_indicator.dtype, tf.bool)
    with self.test_session() as sess:
      ignored_column_indicator = sess.run(ignored_column_indicator)
      self.assertAllEqual(ignored_column_indicator, expected_column_indicator)
Example #10
Source File: matcher_test.py    From Person-Detection-and-Tracking with MIT License 5 votes vote down vote up 
def test_get_correct_unmatched_column_indicator(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indicator = [False, False, True, False, True, False, False]
    unmatched_column_indicator = match.unmatched_column_indicator()
    self.assertEquals(unmatched_column_indicator.dtype, tf.bool)
    with self.test_session() as sess:
      unmatched_column_indicator = sess.run(unmatched_column_indicator)
      self.assertAllEqual(unmatched_column_indicator, expected_column_indicator)
Example #11
Source File: matcher_test.py    From HereIsWally with MIT License 5 votes vote down vote up 
def testGetCorrectUnmatchedColumnIndices(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indices = [2, 4]
    unmatched_column_indices = match.unmatched_column_indices()
    self.assertEquals(unmatched_column_indices.dtype, tf.int32)
    with self.test_session() as sess:
      unmatched_column_indices = sess.run(unmatched_column_indices)
      self.assertAllEqual(unmatched_column_indices, expected_column_indices)
Example #12
Source File: matcher_test.py    From garbage-object-detection-tensorflow with MIT License 5 votes vote down vote up 
def test_get_correct_matched_columnIndices(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indices = [0, 1, 3, 5]
    matched_column_indices = match.matched_column_indices()
    self.assertEquals(matched_column_indices.dtype, tf.int32)
    with self.test_session() as sess:
      matched_column_indices = sess.run(matched_column_indices)
      self.assertAllEqual(matched_column_indices, expected_column_indices)
Example #13
Source File: matcher_test.py    From garbage-object-detection-tensorflow with MIT License 5 votes vote down vote up 
def testGetCorrectUnmatchedColumnIndices(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indices = [2, 4]
    unmatched_column_indices = match.unmatched_column_indices()
    self.assertEquals(unmatched_column_indices.dtype, tf.int32)
    with self.test_session() as sess:
      unmatched_column_indices = sess.run(unmatched_column_indices)
      self.assertAllEqual(unmatched_column_indices, expected_column_indices)
Example #14
Source File: matcher_test.py    From garbage-object-detection-tensorflow with MIT License 5 votes vote down vote up 
def test_get_correct_ignored_column_indices(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indices = [6]
    ignored_column_indices = match.ignored_column_indices()
    self.assertEquals(ignored_column_indices.dtype, tf.int32)
    with self.test_session() as sess:
      ignored_column_indices = sess.run(ignored_column_indices)
      self.assertAllEqual(ignored_column_indices, expected_column_indices)
Example #15
Source File: matcher_test.py    From garbage-object-detection-tensorflow with MIT License 5 votes vote down vote up 
def test_get_correct_matched_column_indicator(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indicator = [True, True, False, True, False, True, False]
    matched_column_indicator = match.matched_column_indicator()
    self.assertEquals(matched_column_indicator.dtype, tf.bool)
    with self.test_session() as sess:
      matched_column_indicator = sess.run(matched_column_indicator)
      self.assertAllEqual(matched_column_indicator, expected_column_indicator)
Example #16
Source File: matcher_test.py    From garbage-object-detection-tensorflow with MIT License 5 votes vote down vote up 
def test_get_correct_unmatched_column_indicator(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indicator = [False, False, True, False, True, False, False]
    unmatched_column_indicator = match.unmatched_column_indicator()
    self.assertEquals(unmatched_column_indicator.dtype, tf.bool)
    with self.test_session() as sess:
      unmatched_column_indicator = sess.run(unmatched_column_indicator)
      self.assertAllEqual(unmatched_column_indicator, expected_column_indicator)
Example #17
Source File: matcher_test.py    From garbage-object-detection-tensorflow with MIT License 5 votes vote down vote up 
def test_get_correct_ignored_column_indicator(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indicator = [False, False, False, False, False, False, True]
    ignored_column_indicator = match.ignored_column_indicator()
    self.assertEquals(ignored_column_indicator.dtype, tf.bool)
    with self.test_session() as sess:
      ignored_column_indicator = sess.run(ignored_column_indicator)
      self.assertAllEqual(ignored_column_indicator, expected_column_indicator)
Example #18
Source File: matcher_test.py    From garbage-object-detection-tensorflow with MIT License 5 votes vote down vote up 
def test_get_correct_unmatched_ignored_column_indices(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indices = [2, 4, 6]
    unmatched_ignored_column_indices = (match.
                                        unmatched_or_ignored_column_indices())
    self.assertEquals(unmatched_ignored_column_indices.dtype, tf.int32)
    with self.test_session() as sess:
      unmatched_ignored_column_indices = sess.run(
          unmatched_ignored_column_indices)
      self.assertAllEqual(unmatched_ignored_column_indices,
                          expected_column_indices)
Example #19
Source File: matcher_test.py    From Person-Detection-and-Tracking with MIT License 5 votes vote down vote up 
def test_multidimensional_gather_based_on_match_with_matmul_gather_op(self):
    match_results = tf.constant([1, -1, -2])
    input_tensor = tf.constant([[0, 0.5, 0, 0.5], [0, 0, 0.5, 0.5]],
                               dtype=tf.float32)
    expected_gathered_tensor = [[0, 0, 0.5, 0.5], [0, 0, 0, 0], [0, 0, 0, 0]]
    match = matcher.Match(match_results, use_matmul_gather=True)
    gathered_tensor = match.gather_based_on_match(input_tensor,
                                                  unmatched_value=tf.zeros(4),
                                                  ignored_value=tf.zeros(4))
    self.assertEquals(gathered_tensor.dtype, tf.float32)
    with self.test_session() as sess:
      self.assertTrue(
          all([op.name is not 'Gather' for op in sess.graph.get_operations()]))
      gathered_tensor_out = gathered_tensor.eval()
    self.assertAllEqual(expected_gathered_tensor, gathered_tensor_out)
Example #20
Source File: matcher_test.py    From ros_people_object_detection_tensorflow with Apache License 2.0 5 votes vote down vote up 
def test_get_correct_unmatched_column_indicator(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indicator = [False, False, True, False, True, False, False]
    unmatched_column_indicator = match.unmatched_column_indicator()
    self.assertEquals(unmatched_column_indicator.dtype, tf.bool)
    with self.test_session() as sess:
      unmatched_column_indicator = sess.run(unmatched_column_indicator)
      self.assertAllEqual(unmatched_column_indicator, expected_column_indicator)
Example #21
Source File: matcher_test.py    From Person-Detection-and-Tracking with MIT License 5 votes vote down vote up 
def test_get_correct_matched_columnIndices(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indices = [0, 1, 3, 5]
    matched_column_indices = match.matched_column_indices()
    self.assertEquals(matched_column_indices.dtype, tf.int32)
    with self.test_session() as sess:
      matched_column_indices = sess.run(matched_column_indices)
      self.assertAllEqual(matched_column_indices, expected_column_indices)
Example #22
Source File: matcher_test.py    From HereIsWally with MIT License 5 votes vote down vote up 
def test_get_correct_matched_columnIndices(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indices = [0, 1, 3, 5]
    matched_column_indices = match.matched_column_indices()
    self.assertEquals(matched_column_indices.dtype, tf.int32)
    with self.test_session() as sess:
      matched_column_indices = sess.run(matched_column_indices)
      self.assertAllEqual(matched_column_indices, expected_column_indices)
Example #23
Source File: matcher_test.py    From ros_people_object_detection_tensorflow with Apache License 2.0 5 votes vote down vote up 
def testGetCorrectUnmatchedColumnIndices(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indices = [2, 4]
    unmatched_column_indices = match.unmatched_column_indices()
    self.assertEquals(unmatched_column_indices.dtype, tf.int32)
    with self.test_session() as sess:
      unmatched_column_indices = sess.run(unmatched_column_indices)
      self.assertAllEqual(unmatched_column_indices, expected_column_indices)
Example #24
Source File: matcher_test.py    From ros_people_object_detection_tensorflow with Apache License 2.0 5 votes vote down vote up 
def test_get_correct_ignored_column_indices(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indices = [6]
    ignored_column_indices = match.ignored_column_indices()
    self.assertEquals(ignored_column_indices.dtype, tf.int32)
    with self.test_session() as sess:
      ignored_column_indices = sess.run(ignored_column_indices)
      self.assertAllEqual(ignored_column_indices, expected_column_indices)
Example #25
Source File: matcher_test.py    From ros_people_object_detection_tensorflow with Apache License 2.0 5 votes vote down vote up 
def test_multidimensional_gather_based_on_match_with_matmul_gather_op(self):
    match_results = tf.constant([1, -1, -2])
    input_tensor = tf.constant([[0, 0.5, 0, 0.5], [0, 0, 0.5, 0.5]],
                               dtype=tf.float32)
    expected_gathered_tensor = [[0, 0, 0.5, 0.5], [0, 0, 0, 0], [0, 0, 0, 0]]
    match = matcher.Match(match_results, use_matmul_gather=True)
    gathered_tensor = match.gather_based_on_match(input_tensor,
                                                  unmatched_value=tf.zeros(4),
                                                  ignored_value=tf.zeros(4))
    self.assertEquals(gathered_tensor.dtype, tf.float32)
    with self.test_session() as sess:
      self.assertTrue(
          all([op.name is not 'Gather' for op in sess.graph.get_operations()]))
      gathered_tensor_out = gathered_tensor.eval()
    self.assertAllEqual(expected_gathered_tensor, gathered_tensor_out)
Example #26
Source File: matcher_test.py    From ros_people_object_detection_tensorflow with Apache License 2.0 5 votes vote down vote up 
def test_multidimensional_gather_based_on_match(self):
    match_results = tf.constant([1, -1, -2])
    input_tensor = tf.constant([[0, 0.5, 0, 0.5], [0, 0, 0.5, 0.5]],
                               dtype=tf.float32)
    expected_gathered_tensor = [[0, 0, 0.5, 0.5], [0, 0, 0, 0], [0, 0, 0, 0]]
    match = matcher.Match(match_results)
    gathered_tensor = match.gather_based_on_match(input_tensor,
                                                  unmatched_value=tf.zeros(4),
                                                  ignored_value=tf.zeros(4))
    self.assertEquals(gathered_tensor.dtype, tf.float32)
    with self.test_session():
      gathered_tensor_out = gathered_tensor.eval()
    self.assertAllEqual(expected_gathered_tensor, gathered_tensor_out)
Example #27
Source File: matcher_test.py    From ros_people_object_detection_tensorflow with Apache License 2.0 5 votes vote down vote up 
def test_scalar_gather_based_on_match(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    input_tensor = tf.constant([0, 1, 2, 3, 4, 5, 6, 7], dtype=tf.float32)
    expected_gathered_tensor = [3, 1, 100, 0, 100, 5, 200]
    match = matcher.Match(match_results)
    gathered_tensor = match.gather_based_on_match(input_tensor,
                                                  unmatched_value=100.,
                                                  ignored_value=200.)
    self.assertEquals(gathered_tensor.dtype, tf.float32)
    with self.test_session():
      gathered_tensor_out = gathered_tensor.eval()
    self.assertAllEqual(expected_gathered_tensor, gathered_tensor_out)
Example #28
Source File: matcher_test.py    From ros_people_object_detection_tensorflow with Apache License 2.0 5 votes vote down vote up 
def test_get_correct_unmatched_ignored_column_indices(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indices = [2, 4, 6]
    unmatched_ignored_column_indices = (match.
                                        unmatched_or_ignored_column_indices())
    self.assertEquals(unmatched_ignored_column_indices.dtype, tf.int32)
    with self.test_session() as sess:
      unmatched_ignored_column_indices = sess.run(
          unmatched_ignored_column_indices)
      self.assertAllEqual(unmatched_ignored_column_indices,
                          expected_column_indices)
Example #29
Source File: matcher_test.py    From ros_people_object_detection_tensorflow with Apache License 2.0 5 votes vote down vote up 
def test_get_correct_matched_column_indicator(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indicator = [True, True, False, True, False, True, False]
    matched_column_indicator = match.matched_column_indicator()
    self.assertEquals(matched_column_indicator.dtype, tf.bool)
    with self.test_session() as sess:
      matched_column_indicator = sess.run(matched_column_indicator)
      self.assertAllEqual(matched_column_indicator, expected_column_indicator)
Example #30
Source File: matcher_test.py    From ros_people_object_detection_tensorflow with Apache License 2.0 5 votes vote down vote up 
def test_get_correct_ignored_column_indicator(self):
    match_results = tf.constant([3, 1, -1, 0, -1, 5, -2])
    match = matcher.Match(match_results)
    expected_column_indicator = [False, False, False, False, False, False, True]
    ignored_column_indicator = match.ignored_column_indicator()
    self.assertEquals(ignored_column_indicator.dtype, tf.bool)
    with self.test_session() as sess:
      ignored_column_indicator = sess.run(ignored_column_indicator)
      self.assertAllEqual(ignored_column_indicator, expected_column_indicator)