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author | TensorFlower Gardener <gardener@tensorflow.org> | 2018-08-08 19:31:21 -0700 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2018-08-08 19:31:21 -0700 |
commit | acb75f221312fc82c1a2a5a642bd6b02dd87ee5f (patch) | |
tree | 5be40aa0bc535aa30a512514f3c7316b2b682172 | |
parent | f3a52fea81868e49e2ebf0e7d6ba6dda5081b1a3 (diff) | |
parent | 163aae337c875efce2518c3cd0fecb61968fe408 (diff) |
Merge pull request #20876 from elielhojman:master
PiperOrigin-RevId: 207984120
-rw-r--r-- | tensorflow/python/data/ops/iterator_ops.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/python/data/ops/iterator_ops.py b/tensorflow/python/data/ops/iterator_ops.py index 83c541c2f7..f2dfea69a8 100644 --- a/tensorflow/python/data/ops/iterator_ops.py +++ b/tensorflow/python/data/ops/iterator_ops.py @@ -221,8 +221,8 @@ class Iterator(checkpointable.CheckpointableBase): This method allows you to define a "feedable" iterator where you can choose between concrete iterators by feeding a value in a @{tf.Session.run} call. - In that case, `string_handle` would a @{tf.placeholder}, and you would feed - it with the value of @{tf.data.Iterator.string_handle} in each step. + In that case, `string_handle` would be a @{tf.placeholder}, and you would + feed it with the value of @{tf.data.Iterator.string_handle} in each step. For example, if you had two iterators that marked the current position in a training dataset and a test dataset, you could choose which to use in |