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path: root/tensorflow/core/util/example_proto_helper.h
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* Add a batch sequence example parsing op, part 2.Gravatar Patrik Sundberg2018-08-31
| | | | PiperOrigin-RevId: 211082479
* Remove THIRD_PARTY_ from #include guardsGravatar Sanjoy Das2018-01-24
| | | | | | They don't make sense in the open source repository. PiperOrigin-RevId: 183140889
* [tf.data] Add `tf.contrib.data.parse_single_example()`.Gravatar Derek Murray2017-12-20
| | | | | | | | The new op is a fused implementation of the existing `tf.parse_single_example()`, which is more efficient when parsing a single Example at a time. PiperOrigin-RevId: 179768512
* internal changeGravatar A. Unique TensorFlower2017-08-14
| | | | PiperOrigin-RevId: 165220185
* Add support for variable major dimension in dense features in example parser ↵Gravatar Eugene Brevdo2017-02-07
| | | | | | | c++ op. Full python support (including more comprehensive documentation) coming soon. Change: 146852707
* parse_example_op dense_shape attribute TensorShape -> PartialTensorShape.Gravatar Eugene Brevdo2017-01-31
| | | | | | This is functionally a no-op and should have no performance implications. In followup CLs, we will start taking advantage of this flexibility. Change: 146127565
* Add C++ shape inference functions for ParseExample andGravatar A. Unique TensorFlower2016-08-11
| | | | | | | | | ParseSingleSequenceExample. The attribute parsing code was moved over verbatim to example_proto_helper.*. Change TF_CHECK_OK to TF_ASSERT_OK in all shape inference tests under core. Change: 130041336
* Change to const Example pointersGravatar Ben Lee2016-06-24
| | | | | | - Prevent unnecessary tensorflow.Example copies when this method is used in serving. Change: 125788885
* Update copyright for 3p/tf/core.Gravatar A. Unique TensorFlower2016-06-02
| | | | Change: 123900938
* Add ExtractExampleParserConfiguration methodGravatar A. Unique TensorFlower2016-05-18
| | | | | | | | | | - Extract the fixed length and variable length feature configurations output tensor names from a given GraphDef. - This will allow for the use case of bypassing an unnecessary tensorflow.Example serialize/deserialize at serving/inference time by extracting the configuration, running the proto -> tensor helpers directly and feeding the graph with the properly named tensors Change: 122636456
* Refactor TF Example helpers to use vectorsGravatar A. Unique TensorFlower2016-04-26
| | | | | | - Pre-allocate vector sizes when possible - Maps added unnecessary overhead Change: 120862895
* Factor helper methods out of ExampleParserOpGravatar A. Unique TensorFlower2016-04-22
- Methods added in core/util/example_proto_helper.{h,cc} - This is in preparation for supporting a serving use-case in which we can bypass an unnecessary serialize/deserialize of Example protos by converting to dense/sparse Tensors directly. - Note that this change is also tested by the python parsing_ops_tes Change: 120608058
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