* refine conv2d_transpose layer doc

* fix conv2d_transpose doc

* fix doc

* Updating the cluster trainign doc

* Fixed comments

* Updating few comments in recv_op

2. Fix evaluator using 'reduce_sum' op instead of 'mean' op

* also div num_samples when return cost of nce_op

* add memory optimization transpiler demo

* add memory benchmark compile option

* add gflags instead of macro

* refine code

And write an unittest for it

2. Rename 'get_output_size' to 'OutputSize'
3. Remove redundant whitespace char.

* init complete data layout transform

* can compile

* test passed

* optimize code

* fix while_grad_op first step loss lod problem

* optimize in out ptr for transform

* add check

* update copyright

* clean code

* add NeedTransformLayout

* add comment

* change the interface of data_type_transform

* init data_type_transform_test

* complete data_type_transform_test

* add TransDataType to data_transform

* "fix decode bug"

* "follow commnet"

* "fix error"

* "fix hook bug"

* fix based comment

* fix copyright

* fix based on comment

* check if kernel if found for kernel type

* do kernel check before data transform

* add data layout transform and optimize the implementation of data_transform

* add split selected rows op

* update comment

* add grad check

* registry cuda kernel

* fix ci failed