1 files changed, 103 insertions, 0 deletions
diff --git a/tensorflow/examples/autograph/integration_tests/keras_test.py b/tensorflow/examples/autograph/integration_tests/keras_test.py
new file mode 100644
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+++ b/tensorflow/examples/autograph/integration_tests/keras_test.py
@@ -0,0 +1,103 @@
+# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+#
+# 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.
+# ==============================================================================
+"""Keras integration tests."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import tensorflow as tf
+
+from tensorflow.python import autograph
+
+
+class MinimalKeras(tf.keras.Model):
+
+  def call(self, x):
+    return x * 3
+
+
+class ModelWithStaticConditional(object):
+
+  def __init__(self, initial):
+    self.initial = initial
+    if self.initial:
+      self.h = 15
+
+  @autograph.convert()
+  def call(self):
+    x = 10
+    if self.initial:
+      x += self.h
+    return x
+
+
+class BasicBlock(tf.keras.Model):
+
+  def __init__(self):
+    super(BasicBlock, self).__init__()
+    self.conv1 = tf.keras.layers.Conv2D(8, 3)
+    self.pool = tf.keras.layers.GlobalAveragePooling2D()
+    self.dense = tf.keras.layers.Dense(3)
+
+  def call(self, x):
+    x = self.conv1(x)
+    x = self.pool(x)
+    x = self.dense(x)
+    return x
+
+
+class CompoundModel(tf.keras.Model):
+
+  def __init__(self):
+    super(CompoundModel, self).__init__()
+    self.block = BasicBlock()
+
+  @autograph.convert(recursive=True)
+  def call(self, x):
+    x = self.block(x)  # pylint: disable=not-callable
+    return x
+
+
+class KerasTest(tf.test.TestCase):
+
+  def test_basic(self):
+    MinimalKeras()
+
+  def test_conditional_attributes_False(self):
+    model = ModelWithStaticConditional(False)
+    self.assertEqual(model.call(), 10)
+
+  def test_conditional_attributes_True(self):
+    model = ModelWithStaticConditional(True)
+    self.assertEqual(model.call(), 25)
+
+  def test_recursive_true(self):
+    with self.assertRaisesRegexp(NotImplementedError,
+                                 'Object conversion is not yet supported.'):
+      with tf.Graph().as_default():
+        model = CompoundModel()
+        model.build(tf.TensorShape((None, 10, 10, 1)))
+        init = tf.global_variables_initializer()
+
+        with tf.Session() as sess:
+          sess.run(init)
+          sample_input = tf.random_uniform((1, 10, 10, 1))
+          output = model(sample_input)  # pylint: disable=not-callable
+          self.assertEqual(sess.run(output).shape, (1, 3))
+
+
+if __name__ == '__main__':
+  tf.test.main()