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Michael Banfield ac988f3bb8 Return a iterator from summary_iterator instead of using a generator, to allow reusing the iterator after end of file. 
PiperOrigin-RevId: 321401390
Change-Id: I2d08d6312cead7f97fb572360a631f8c8754d418
2020-07-15 11:40:16 -07:00
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writer Move away from deprecated asserts 2020-06-30 16:10:22 -07:00
__init__.py
plugin_asset_test.py
plugin_asset.py Apply tf1->tf2 name replaces to doc-strings and comments in tensorflow. 2019-04-16 16:27:28 -07:00
README.md
summary_iterator_test.py Return a iterator from summary_iterator instead of using a generator, to allow reusing the iterator after end of file. 2020-07-15 11:40:16 -07:00
summary_iterator.py Return a iterator from summary_iterator instead of using a generator, to allow reusing the iterator after end of file. 2020-07-15 11:40:16 -07:00
summary_test.py Move away from deprecated asserts 2020-06-30 16:10:22 -07:00
summary.py Separating out summary_util for distribution strategy to avoid possible circular dependencies. 2019-03-14 17:11:11 -07:00

README.md

TensorFlow Event Processing

This folder contains classes useful for analyzing and visualizing TensorFlow events files. The code is primarily being developed to support TensorBoard, but it can be used by anyone who wishes to analyze or visualize TensorFlow events files.

If you wish to load TensorFlow events, you should use an EventAccumulator (to load from a single events file) or an EventMultiplexer (to load from multiple events files).