TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
APACHE-2.0 License
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TensorFlowOnSpark
- 1.2.0
Published by leewyang over 6 years ago
- Added Scala Inference API
- Support driver-side PS node(s) (contributed by @winston-zillow)
TensorFlowOnSpark
- 1.2.1
Published by leewyang over 6 years ago
- Error handling for TF exceptions in InputMode.SPARK (from @eordentlich).
- Add timeout for reservations (from @eordentlich).
- Errors will exit Spark job with non-zero exit code.
- Fix regression in pipeline API.
- Model export tool
TensorFlowOnSpark
- 1.3.0
Published by leewyang over 6 years ago
- support tf.estimator.train_and_evaluate() API
- use local file instead of ppid to uniquely identify executors
- surface GPU allocation errors more readily
- add sharding, epochs, and shuffling to mnist Dataset example.
- TFoS example for criteo data (contributed by @amantrac)
- use
tf.train.MonitoredTrainingSessionin mnist/spark example (contributed by @wuyifan18)
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