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author | A. Unique TensorFlower <gardener@tensorflow.org> | 2017-01-06 12:35:32 -0800 |
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committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-01-06 12:47:05 -0800 |
commit | a245f73c7d9dea4aeb5c524e290f05ef6d5efdab (patch) | |
tree | a53d87cf097aaddb50f68e4f21c135ecccaa1a32 /tensorflow/core/example | |
parent | 053087ff366bed02eeec858ddd856ce4a78bbfa9 (diff) |
Allow empty tf.Features in the FeatureLists for sparse sequence examples.
Change: 143802382
Diffstat (limited to 'tensorflow/core/example')
-rw-r--r-- | tensorflow/core/example/example.proto | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/tensorflow/core/example/example.proto b/tensorflow/core/example/example.proto index 956a374026..b2b723278b 100644 --- a/tensorflow/core/example/example.proto +++ b/tensorflow/core/example/example.proto @@ -193,7 +193,8 @@ message Example { // - If a FeatureList L exists, it may be empty (zero length). // - If a FeatureList L is non-empty, all features within the FeatureList // must have the same data type T. Even across SequenceExamples, the type T -// of the FeatureList identified by the same key must be the same. +// of the FeatureList identified by the same key must be the same. An entry +// without any values may serve as an empty feature. // - If a FeatureList L is non-empty, it is up to the parser configuration // to determine if all features within the FeatureList must // have the same size. The same holds for this FeatureList across multiple |