diff options
Diffstat (limited to 'tensorflow/python/estimator/export/export_output_test.py')
| -rw-r--r-- | tensorflow/python/estimator/export/export_output_test.py | 15 |
1 files changed, 15 insertions, 0 deletions
diff --git a/tensorflow/python/estimator/export/export_output_test.py b/tensorflow/python/estimator/export/export_output_test.py index b21ba91b0f..d94c764fd7 100644 --- a/tensorflow/python/estimator/export/export_output_test.py +++ b/tensorflow/python/estimator/export/export_output_test.py @@ -24,8 +24,10 @@ from tensorflow.core.protobuf import meta_graph_pb2 from tensorflow.python.estimator.export import export_output as export_output_lib from tensorflow.python.framework import constant_op from tensorflow.python.framework import dtypes +from tensorflow.python.framework import ops from tensorflow.python.framework import sparse_tensor from tensorflow.python.ops import array_ops +from tensorflow.python.ops import control_flow_ops from tensorflow.python.platform import test from tensorflow.python.saved_model import signature_constants @@ -335,5 +337,18 @@ class SupervisedOutputTest(test.TestCase): self.assertTrue("predictions/output1" in sig_def.outputs) self.assertTrue("features" in sig_def.inputs) + def test_metric_op_is_operation(self): + """Tests that ops.Operation is wrapped by a tensor for metric_ops.""" + loss = {"my_loss": constant_op.constant([0])} + predictions = {u"output1": constant_op.constant(["foo"])} + metrics = {"metrics": (constant_op.constant([0]), control_flow_ops.no_op())} + + outputter = MockSupervisedOutput(loss, predictions, metrics) + self.assertEqual(outputter.metrics["metrics/value"], metrics["metrics"][0]) + self.assertEqual( + outputter.metrics["metrics/update_op"].name, "metric_op_wrapper:0") + self.assertTrue( + isinstance(outputter.metrics["metrics/update_op"], ops.Tensor)) + if __name__ == "__main__": test.main() |