diff options
Diffstat (limited to 'tensorflow/python/data/kernel_tests/batch_dataset_op_test.py')
| -rw-r--r-- | tensorflow/python/data/kernel_tests/batch_dataset_op_test.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/python/data/kernel_tests/batch_dataset_op_test.py b/tensorflow/python/data/kernel_tests/batch_dataset_op_test.py index c3d42b49af..89de55dd4f 100644 --- a/tensorflow/python/data/kernel_tests/batch_dataset_op_test.py +++ b/tensorflow/python/data/kernel_tests/batch_dataset_op_test.py @@ -278,7 +278,7 @@ class PaddedBatchDatasetTest(test.TestCase, parameterized.TestCase): result = sess.run(get_next) padded_len = padded_shapes[0] if padded_len is None or padded_len == -1: - padded_len = np.max(result) + padded_len = np.max(result) if result.size > 0 else 0 self.assertEqual((batch_size, padded_len), result.shape) for j in range(batch_size): seq_len = seq_lens[(i * batch_size) + j] @@ -288,7 +288,7 @@ class PaddedBatchDatasetTest(test.TestCase, parameterized.TestCase): if not drop_remainder and len(seq_lens) % batch_size > 0: result = sess.run(get_next) - padded_len = np.max(result) + padded_len = np.max(result) if result.size > 0 else 0 self.assertEqual((len(seq_lens) % batch_size, padded_len), result.shape) for j in range(len(seq_lens) % batch_size): |