singa-incubating-0.2.0 Release Notes¶
SINGA is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. SINGA supports a wide variety of popular deep learning models.
This release includes the following major features:
Training on GPU enables training of complex models on a single node with multiple GPU cards.
Hybrid neural net partitioning supports data and model parallelism at the same time.
Python wrapper makes it easy to configure the job, including neural net and SGD algorithm.
RNN model and BPTT algorithm are implemented to support applications based on RNN models, e.g., GRU.
Cloud software integration includes Mesos, Docker and HDFS.
More details are listed as follows,
[SINGA-80] New Blob Level and Address Level Math Operation Interface
[SINGA-82] Refactor input layers using data store abstraction
[SINGA-87] Replace exclude field to include field for layer configuration
[SINGA-110] Add Layer member datavec_ and gradvec_
[SINGA-120] Implemented GRU and BPTT (BPTTWorker)
[SINGA-91] Add SoftmaxLayer and ArgSortLayer
[SINGA-106] Add dummy layer for test purpose
[SINGA-120] Implemented GRU and BPTT (GRULayer and OneHotLayer)
GPU training support
[SINGA-100] Implement layers using CUDNN for GPU training
[SINGA-104] Add Context Class
[SINGA-105] Update GUN make files for compiling cuda related code
[SINGA-98] Add Support for AlexNet ImageNet Classification Model
[SINGA-109] Refine bridge layers
[SINGA-111] Add slice, concate and split layers
[SINGA-113] Model/Hybrid Partition Support
[SINGA-108] Add Python wrapper to singa
[SINGA-85] Add functions for extracting features and test new data
Integrate with third-party tools
[SINGA-11] Start SINGA on Apache Mesos
[SINGA-78] Use Doxygen to generate documentation
[SINGA-89] Add Docker support
[SINGA-95] Add make test after building
[SINGA-84] Header Files Rearrange
[SINGA-93] Remove the asterisk in the log tcp://169.254.12.152:*:49152
[SINGA-94] Move call to google::InitGoogleLogging() from Driver::Init() to main()
[SINGA-96] Add Momentum to Cifar10 Example
[SINGA-101] Add ll (ls -l) command in .bashrc file when using docker
[SINGA-114] Remove short logs in tmp directory
[SINGA-115] Print layer debug information in the neural net graph file
[SINGA-118] Make protobuf LayerType field id easy to assign
[SIGNA-97] Add HDFS Store
[SINGA-85] Fix compilation errors in examples
[SINGA-90] Miscellaneous trivial bug fixes
[SINGA-107] Error from loading pre-trained params for training stacked RBMs
[SINGA-116] Fix a bug in InnerProductLayer caused by weight matrix sharing