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Release 0.1.0

Major Features and Improvements

  • This is the first release of ElasticDL. It supports TensorFlow 2.0.
  • Includes a master-worker architecture, where the master controls task generation and entire job progress. Workers communicate with the master to get the tasks to execute and report execution results.
  • Supports different job types: training-only, training-with-evaluation, evaluation-only and prediction-only.
  • Provides high-level APIs and CLI for training, evaluation and prediction.
  • Supports running in environments, including MiniKube, GCP, and on-prem clusters.
  • Adds experimental integration with SQLFlow for ODPS data source.