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| author |  A. Unique TensorFlower <gardener@tensorflow.org> | 2017-10-24 15:23:58 -0700 |
|---|---|---|
| committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-10-24 15:27:15 -0700 |
| commit | 488408c2cefcac507b325da4dd779a9015f7b53f (patch) | |
| tree | f60d770ba44aa0f502c86c27df1e1752c611465f | |
| parent | b20e0b28eec6245ce734d78cdb26dbf2d92c87ba (diff) | |
Removes unnecessary cast and warning in auc calculation.
PiperOrigin-RevId: 173320547
| -rw-r--r-- | tensorflow/python/estimator/BUILD | 1 | ||||
| -rw-r--r-- | tensorflow/python/estimator/canned/head.py | 4 |
2 files changed, 0 insertions, 5 deletions
diff --git a/tensorflow/python/estimator/BUILD b/tensorflow/python/estimator/BUILD index 9670827e41..13fbfe9f53 100644 --- a/tensorflow/python/estimator/BUILD +++ b/tensorflow/python/estimator/BUILD @@ -543,7 +543,6 @@ py_library( "//tensorflow/python:math_ops", "//tensorflow/python:metrics", "//tensorflow/python:nn", - "//tensorflow/python:platform", "//tensorflow/python:sparse_tensor", "//tensorflow/python:string_ops", "//tensorflow/python:summary", diff --git a/tensorflow/python/estimator/canned/head.py b/tensorflow/python/estimator/canned/head.py index 1cc82c5055..f26e54ff49 100644 --- a/tensorflow/python/estimator/canned/head.py +++ b/tensorflow/python/estimator/canned/head.py @@ -40,7 +40,6 @@ from tensorflow.python.ops import nn from tensorflow.python.ops import string_ops from tensorflow.python.ops import weights_broadcast_ops from tensorflow.python.ops.losses import losses -from tensorflow.python.platform import tf_logging as logging from tensorflow.python.saved_model import signature_constants from tensorflow.python.summary import summary @@ -314,9 +313,6 @@ def _predictions_mean(predictions, weights=None, name=None): def _auc(labels, predictions, weights=None, curve='ROC', name=None): with ops.name_scope(name, 'auc', (predictions, labels, weights)) as scope: predictions = math_ops.to_float(predictions, name='predictions') - if labels.dtype.base_dtype != dtypes.bool: - logging.warning('Casting %s labels to bool.', labels.dtype) - labels = math_ops.cast(labels, dtypes.bool) if weights is not None: weights = weights_broadcast_ops.broadcast_weights(weights, predictions) return metrics_lib.auc( |