v0.4.0 - Adding support for Gluon imperative models

New Features:

Gluon imperative model support

1. Added support for serving Gluon based imperative models.

Docs, Improvements, Bug fixes

Docs:

• Added documentation on Gluon model services.
• Added alexnet in Gluon to model serving to examples.
• Added Character-level Convolutional Neural Networks in Gluon to model serving examples.

Improvements:

• Gluon base service class implementation. (@vdantu )
• Improved Docker image setup time by , layering docker images. (@vrakesh, #343 )
• Docker image now can auto-detect number of available CPUs. (@vrakesh, #360 )
• Added pylint support. (@vdantu)
• Use cu90mkl mxnet on cuda gpu machines by default. (@vrakesh, #390 )

Bug Fixes:

• Fixed an issue, where empty folder was created when invalid model path is specified. (@vrakesh, #320 )
• Docker images now do not allow multiple instances of MMS to run. (@vrakesh, #337 )
• fixed pypi summary issue. (@aaronmarkham, #378 )
• Fixed error propagation from custom service to MMS. (@vrakesh, #387 )
• Fixed documentation bugs. (@vrakesh, #401 , #402 )
• Fixed version reading issue in MMS. (@vrakesh, #395 )
• Fixed post process latencies being high due to inference variables being lazy evaluated. (@vrakesh, #414 )