diff options
| author |  Martin Wicke <wicke@google.com> | 2017-01-04 21:25:34 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2017-01-04 21:46:08 -0800 |
| commit | 333dc32ff79af21484695157f3d141dc776f7c02 (patch) | |
| tree | b379bcaa56bfa54d12ea839fb7e62ab163490743 /tensorflow/examples/image_retraining | |
| parent | d9541696b068cfcc1fab66b03d0b8d605b64f14d (diff) | |
Change arg order for {softmax,sparse_softmax,sigmoid}_cross_entropy_with_logits to be (labels, predictions), and force use of named args to avoid accidents.
Change: 143629623
Diffstat (limited to 'tensorflow/examples/image_retraining')
| -rw-r--r-- | tensorflow/examples/image_retraining/retrain.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/examples/image_retraining/retrain.py b/tensorflow/examples/image_retraining/retrain.py index 0d5ba84c2d..c5518e2603 100644 --- a/tensorflow/examples/image_retraining/retrain.py +++ b/tensorflow/examples/image_retraining/retrain.py @@ -723,7 +723,7 @@ def add_final_training_ops(class_count, final_tensor_name, bottleneck_tensor): with tf.name_scope('cross_entropy'): cross_entropy = tf.nn.softmax_cross_entropy_with_logits( - logits, ground_truth_input) + labels=ground_truth_input, logits=logits) with tf.name_scope('total'): cross_entropy_mean = tf.reduce_mean(cross_entropy) tf.summary.scalar('cross_entropy', cross_entropy_mean) |