internal.

PiperOrigin-RevId: 230327818

tensorflow_datasets/__init__.py

@@ -41,6 +41,7 @@
 # pylint: enable=line-too-long
 
 
+
 # Copied from tensorflow/probability
 # Ensure TensorFlow is importable and its version is sufficiently recent. This
 # needs to happen before anything else, since the imports below will try to
@@ -88,6 +89,7 @@ def _ensure_tf_install():  # pylint: disable=g-statement-before-imports
 
 
 # Imports for registration
+# pylint: disable=g-import-not-at-top
 from tensorflow_datasets import audio
 from tensorflow_datasets import image
 from tensorflow_datasets import text
@@ -101,3 +103,4 @@ def _ensure_tf_install():  # pylint: disable=g-statement-before-imports
 # __all__ for import * as well as documentation
 from tensorflow_datasets import public_api  # pylint: disable=g-bad-import-order
 __all__ = public_api.__all__
+

tensorflow_datasets/testing/e2e_binary.py

@@ -0,0 +1,41 @@
+# coding=utf-8
+# Copyright 2018 The TensorFlow Datasets Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+r"""Binary exercising critical workflow of tensorflow datasets.
+
+"""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+from absl import app
+import tensorflow_datasets as tfds
+
+
+def main(argv):
+  del argv
+  mnist, info = tfds.load('mnist', with_info=True)
+  print(mnist, info)
+  mnist_train = tfds.load('mnist', split='train')
+  print(mnist_train)
+  cifar10, info = tfds.load('cifar10', with_info=True)
+  print(cifar10, info)
+  cifar10_np = tfds.dataset_as_numpy(cifar10)
+  print(cifar10_np)
+
+
+if __name__ == '__main__':
+  app.run(main)