SparseOperationKit Release Notes
The release notes for SparseOperationKit.
What’s new in Version 1.1.2
Add TensorFlow Functional API support
What’s new in Version 1.1.1
Add Auto-Mixed-Precision training support
Add uint32 key dtype support
Add TensorFlow initializers support
Add DLRM benchmark results
What’s new in Version 1.1.0
Supports TensorFlow 1.15.
Supports configuring visible devices via
Added a dedicated CUDA stream for SOK’s Ops.
Supports pip installation.
Fixed hanging issue in
tf.distribute.MirroredStrategywhen TensorFlow version greater than 2.4.
What’s new in Version 1.0.1
Supports Horovod as the synchronized training communication tool.
Supports dynamic input in All2AllDenseEmbedding, which means
unique->lookup->gatherpattern can be used.
Supports IdentityHashtable, which means no hash-mapping during inserting new keys.
Added TF Distributed Embedding totally with TF’s ops.
What’s new in Version 1.0.0
Implemented a new framework that can be used to easily integrate different embedding algorithms to common DL frameworks.
Supports single-node & multi-node synchronized training with TensorFlow.
Integrated HugeCTR’s DistributedSparseEmbedding algorithm.
Integrated All2AllDenseEmbedding algorithm.
Added custom Adam optimizer for SOK when TF version <= 2.4.