We should aim for 80%. Currently, this broken 29% is scary.

* change return_numpy[PE] default value

* Remove convert to numpy in unit test

enable dynamic load mklml lib on fluid

Checkpoint M2: lookup table checkpoint

Fix async update failed

Update api.rst (merge to develop)

* elementwise_add with bcast: Brian's implementation by Brian added, with default bcasts

* elementwise_add with bcast: GetExpectedKernelType added to elementwise_op

* elementwise_add with bcast: use_mkldnn attribute added

* elementwise_add with bcast: changes after review and some formatting

* elementwise_add with bcast: changes after style check

* elementwise_add with bcast: changes after style check cont.

* elementwise_add with bcast: MKLDNN unittests added

* elementwise_add with bcast: original unittests with use_mkldnn flag

* elementwise_add with bcast: handling of MKLDNN format corrected

* elementwise_add with bcast: setting MKLDNN format turned into lambda

* elementwise_add with bcast: MKDNN format setting turned into separate function

* elementwise_add with bcast: condition for choosing MKLDNN simplified

* elementwise_add with bcast: fix for MKLDNN format set incorrectly in bcasts

* elementwise_add with bcast: changes in unittests for broadcasts

* elementwise_add with bcast: fixes in unittests regarding dimensions

* elementwise_add with bcast: bring back correct format setting in mklml grad path

* elementwise_add with bcast: fixed compilation error

fix sparse paraexe dist train

fix metrics.Auc

Some small fixes

Small doc fix and clean up of reshape

* Fix relu and log

* Update nn.py

* make deadline configurable

* configurable deadline

* update

* fix grpc deadline exceeded

anakin build adapt

fix pserver sub-blocks

* Make paddle no longer depend on boost

* Update enforce.h

MKLDNN: SoftmaxGrad Op