diff options
| -rw-r--r-- | tensorflow/python/keras/preprocessing/image_test.py | 37 |
1 files changed, 0 insertions, 37 deletions
diff --git a/tensorflow/python/keras/preprocessing/image_test.py b/tensorflow/python/keras/preprocessing/image_test.py index 362cbc1dc9..4abaadfcd3 100644 --- a/tensorflow/python/keras/preprocessing/image_test.py +++ b/tensorflow/python/keras/preprocessing/image_test.py @@ -94,43 +94,6 @@ class TestImage(test.TestCase): self.assertEqual(x.shape[1:], images.shape[1:]) break - def test_image_data_generator_with_validation_split(self): - if PIL is None: - return # Skip test if PIL is not available. - - for test_images in _generate_test_images(): - img_list = [] - for im in test_images: - img_list.append(keras.preprocessing.image.img_to_array(im)[None, ...]) - - images = np.vstack(img_list) - generator = keras.preprocessing.image.ImageDataGenerator( - validation_split=0.5) - seq = generator.flow( - images, - np.arange(images.shape[0]), - shuffle=False, - batch_size=3, - subset='validation') - _, y = seq[0] - self.assertEqual(list(y), [0, 1, 2]) - seq = generator.flow( - images, - np.arange(images.shape[0]), - shuffle=False, - batch_size=3, - subset='training') - _, y2 = seq[0] - self.assertEqual(list(y2), [4, 5, 6]) - - with self.assertRaises(ValueError): - generator.flow( - images, - np.arange(images.shape[0]), - shuffle=False, - batch_size=3, - subset='foo') - def test_image_data_generator_with_split_value_error(self): with self.assertRaises(ValueError): keras.preprocessing.image.ImageDataGenerator(validation_split=5) |