AWhat changed
Standardizes datasets/problems, models and training/evaluation/decoding workflows on TensorFlow, including the reference Transformer implementation and heterogeneous hardware support.
Scientific scope
Standardizes datasets/problems, models and training/evaluation/decoding workflows on TensorFlow, including the reference Transformer implementation and heterogeneous hardware support. This software contribution does not re-count the already formal Transformer architecture or its translation result as a new algorithm. Hardware/task support is bounded by the2018source, not every later repository capability. Kaiser/Sepassi markers denote corresponding authors.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. This software contribution does not re-count the already formal Transformer architecture or its translation result as a new algorithm. Hardware/task support is bounded by the2018source, not every later repository capability. Kaiser/Sepassi markers denote corresponding authors.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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