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| author |  Vijay Vasudevan <vrv@google.com> | 2016-03-15 18:45:27 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2016-03-16 16:20:04 -0700 |
| commit | 9a4878cc17d4039939e8df5a2a984cca8028baeb (patch) | |
| tree | d58e341fe594a245a24539c8c37e61d67dcd93e2 /tensorflow/models/image/cifar10/cifar10.py | |
| parent | fdc6752cda33e8d5879e4db68093eca7d7395988 (diff) | |
Rollback of: "Merge changes from github."
Change: 117304114
Diffstat (limited to 'tensorflow/models/image/cifar10/cifar10.py')
| -rw-r--r-- | tensorflow/models/image/cifar10/cifar10.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/models/image/cifar10/cifar10.py b/tensorflow/models/image/cifar10/cifar10.py index 05c8e70f5f..8f5fd4f50d 100644 --- a/tensorflow/models/image/cifar10/cifar10.py +++ b/tensorflow/models/image/cifar10/cifar10.py @@ -67,7 +67,7 @@ NUM_EPOCHS_PER_DECAY = 350.0 # Epochs after which learning rate decays. LEARNING_RATE_DECAY_FACTOR = 0.1 # Learning rate decay factor. INITIAL_LEARNING_RATE = 0.1 # Initial learning rate. -# If a model is trained with multiple GPUs, prefix all Op names with tower_name +# If a model is trained with multiple GPU's prefix all Op names with tower_name # to differentiate the operations. Note that this prefix is removed from the # names of the summaries when visualizing a model. TOWER_NAME = 'tower' @@ -255,7 +255,7 @@ def inference(images): def loss(logits, labels): """Add L2Loss to all the trainable variables. - Add summary for "Loss" and "Loss/avg". + Add summary for for "Loss" and "Loss/avg". Args: logits: Logits from inference(). labels: Labels from distorted_inputs or inputs(). 1-D tensor |