Fix incorrect parameter order in recall_at_precision.

PiperOrigin-RevId: 178642393

2 files changed, 6 insertions, 6 deletions

diff --git a/tensorflow/contrib/metrics/python/ops/metric_ops.py b/tensorflow/contrib/metrics/python/ops/metric_ops.py
index 6b08b749f8..2f27985634 100644
--- a/tensorflow/contrib/metrics/python/ops/metric_ops.py
+++ b/tensorflow/contrib/metrics/python/ops/metric_ops.py
@@ -2268,7 +2268,7 @@ def recall_at_precision(labels,
     thresholds = [0.0 - _EPSILON] + thresholds + [1.0 + _EPSILON]
 
     values, update_ops = _streaming_confusion_matrix_at_thresholds(
-        labels, predictions, thresholds, weights)
+        predictions, labels, thresholds, weights)
 
     recall = _compute_recall_at_precision(values['tp'], values['fp'],
                                           values['fn'], precision, 'value')
diff --git a/tensorflow/contrib/metrics/python/ops/metric_ops_test.py b/tensorflow/contrib/metrics/python/ops/metric_ops_test.py
index 7db06609de..f05ae394e6 100644
--- a/tensorflow/contrib/metrics/python/ops/metric_ops_test.py
+++ b/tensorflow/contrib/metrics/python/ops/metric_ops_test.py
@@ -3162,7 +3162,7 @@ class RecallAtPrecisionTest(test.TestCase):
     labels = random_ops.random_uniform(
         (10, 3), maxval=2, dtype=dtypes_lib.int64, seed=2)
     recall, update_op = metrics.recall_at_precision(
-        predictions, labels, precision=0.7)
+        labels, predictions, precision=0.7)
 
     with self.test_session() as sess:
       sess.run(variables.local_variables_initializer())
@@ -3182,7 +3182,7 @@ class RecallAtPrecisionTest(test.TestCase):
     predictions = constant_op.constant(inputs, dtype=dtypes_lib.float32)
     labels = constant_op.constant(inputs)
     recall, update_op = metrics.recall_at_precision(
-        predictions, labels, precision=1.0)
+        labels, predictions, precision=1.0)
 
     with self.test_session() as sess:
       sess.run(variables.local_variables_initializer())
@@ -3197,7 +3197,7 @@ class RecallAtPrecisionTest(test.TestCase):
         predictions_values, dtype=dtypes_lib.float32)
     labels = constant_op.constant(labels_values)
     recall, update_op = metrics.recall_at_precision(
-        predictions, labels, precision=0.8)
+        labels, predictions, precision=0.8)
 
     with self.test_session() as sess:
       sess.run(variables.local_variables_initializer())
@@ -3212,7 +3212,7 @@ class RecallAtPrecisionTest(test.TestCase):
         predictions_values, dtype=dtypes_lib.float32)
     labels = constant_op.constant(labels_values)
     recall, update_op = metrics.recall_at_precision(
-        predictions, labels, precision=0.4)
+        labels, predictions, precision=0.4)
 
     with self.test_session() as sess:
       sess.run(variables.local_variables_initializer())
@@ -3230,7 +3230,7 @@ class RecallAtPrecisionTest(test.TestCase):
     labels = constant_op.constant(labels_values)
     weights = constant_op.constant(weights_values)
     recall, update_op = metrics.recall_at_precision(
-        predictions, labels, weights=weights, precision=0.4)
+        labels, predictions, weights=weights, precision=0.4)
 
     with self.test_session() as sess:
       sess.run(variables.local_variables_initializer())