lambdaCost layer's bug fix

* add sync_with_cpp to Python Program and Block

* sync vars and ops in block from cpp

* optimize code and add some comment

* add more check for sync

* Expose Executor to Python

* Follow comments

Backward return map

Merge mkldnn output grad

change: NewVar() to Var()

* Final step of backward, return a map from param_name to grad

* Complete the final step of backward

Return the param_name to grad_info

* add target to Backward, generate var in block when call backward

* modify backward_test

* fix executor_test

* set var desc default type to LOD_TENSOR

* update backward_test

* insert loss in the top level of backward

* create grad vars for all blocks in current program

* optimize code

* update test_program.py

* only create var for newly create blocks when backward

* Add debug string for Python ProtoBuf

and Rename `Sync` to `Flush`

* Add check of ProtoBuf initialization

* Add grad_name_map

* Fix bug

* Fix bug

* Follow comments

add selected rows

* Update VarDesc from design doc

* Fix GCC compile

* Fix unittest

Fix pybind op register nokernel

Add gru_unit_op

and add branch net comparing with cpu result

* Adding Hard Sigmoid Activation

* Adding a comment for slope to be only positive

* Fixing grammatical mistake in comment