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| author |  Jonathan Hseu <jhseu@google.com> | 2016-11-18 15:43:53 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2016-11-18 16:04:44 -0800 |
| commit | 85eeec0d415a1478bbeffc3d4545c795bee64e9f (patch) | |
| tree | 5d1bb5f7b015f933cdfe8f2d5fc1748d8a7e71f7 /tensorflow/python/summary/summary_iterator.py | |
| parent | 068e2393edb3f0e43a303cf70c4b3c483b2cde23 (diff) | |
Automated rollback of change 139400135
Change: 139632235
Diffstat (limited to 'tensorflow/python/summary/summary_iterator.py')
| -rw-r--r-- | tensorflow/python/summary/summary_iterator.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tensorflow/python/summary/summary_iterator.py b/tensorflow/python/summary/summary_iterator.py index 91b75c7e63..9c3e8fcf4e 100644 --- a/tensorflow/python/summary/summary_iterator.py +++ b/tensorflow/python/summary/summary_iterator.py @@ -137,7 +137,7 @@ class SummaryWriter(object): You can pass the result of evaluating any summary op, using [`Session.run()`](client.md#Session.run) or - [`Output.eval()`](framework.md#Output.eval), to this + [`Tensor.eval()`](framework.md#Tensor.eval), to this function. Alternatively, you can pass a `tf.Summary` protocol buffer that you populate with your own data. The latter is commonly done to report evaluation results in event files. |