singa-incubating-0.1.0 Release Notes · Apache SINGA
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Editsinga-incubating-0.1.0 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 following features:
Job management
SINGA-3 Use Zookeeper to
check stopping (finish) time of the system
SINGA-16 Runtime Process
id Management
SINGA-25 Setup glog output
path
SINGA-26 Run distributed
training in a single command
SINGA-30 Enhance
easy-to-use feature and support concurrent jobs
SINGA-33 Automatically
launch a number of processes in the cluster
SINGA-34 Support external
zookeeper service
SINGA-38 Support
concurrent jobs
SINGA-39 Avoid ssh in
scripts for single node environment
SINGA-43 Remove
Job-related output from workspace
SINGA-56 No automatic
launching of zookeeper service
SINGA-73 Refine the
selection of available hosts from host list
Installation with GNU Auto tool
SINGA-4 Refine
thirdparty-dependency installation
SINGA-13 Separate
intermediate files of compilation from source files
SINGA-17 Add root
permission within thirdparty/install.
SINGA-27 Generate python
modules for proto objects
SINGA-53 Add lmdb
compiling options
SINGA-62 Remove building
scrips and auxiliary files
SINGA-67 Add singatest
into build targets
Distributed training
SINGA-7 Implement shared
memory Hogwild algorithm
SINGA-8 Implement
distributed Hogwild
SINGA-19 Slice large Param
objects for load-balance
SINGA-29 Update NeuralNet
class to enable layer partition type customization
SINGA-24 Implement
Downpour training framework
SINGA-32 Implement
AllReduce training framework
SINGA-57 Improve
Distributed Hogwild
Training algorithms for different model categories
SINGA-9 Add Support for
Restricted Boltzman Machine (RBM) model
SINGA-10 Add Support for
Recurrent Neural Networks (RNN)
Checkpoint and restore
SINGA-12 Support
Checkpoint and Restore
Unit test
SINGA-64 Add the test
module for utils/common
Programming model
SINGA-36 Refactor job
configuration, driver program and scripts
SINGA-37 Enable users to
set parameter sharing in model configuration
SINGA-54 Refactor job
configuration to move fields in ModelProto out
SINGA-55 Refactor main.cc
and singa.h
SINGA-61 Support user
defined classes
SINGA-65 Add an example of
writing user-defined layers
Other features
SINGA-6 Implement
thread-safe singleton
SINGA-18 Update API for
displaying performance metric
SINGA-77 Integrate with
Apache RAT
Some bugs are fixed during the development of this release
SINGA-2 Check failed:
zsock_connect
SINGA-5 Server early
terminate when zookeeper singa folder is not initially empty
SINGA-15 Fixg a bug from
ConnectStub function which gets stuck for connecting layerdealer
SINGA-22 Cannot find
openblas library when it is installed in default path
SINGA-23 Libtool version
mismatch error.
SINGA-28 Fix a bug from
topology sort of Graph
SINGA-42 Issue when loading
checkpoints
SINGA-44 A bug when reseting
metric values
SINGA-46 Fix a bug in
updater.cc to scale the gradients
SINGA-47 Fix a bug in data
layers that leads to out-of-memory when group size is too large
SINGA-48 Fix a bug in
trainer.cc that assigns the same NeuralNet instance to workers from diff
groups
SINGA-49 Fix a bug in
HandlePutMsg func that sets param fields to invalid values
SINGA-66 Fix bugs in
Worker::RunOneBatch function and ClusterProto
SINGA-79 Fix bug in
singatool that can not parse -conf flag
Features planned for the next release
SINGA-11 Start SINGA using
Mesos
SINGA-31 Extend Blob to
support xpu (cpu or gpu)
SINGA-35 Add random number
generators
SINGA-40 Support sparse
Param update
SINGA-41 Support single node
single GPU training
Last updated on 4/2/2020
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