* add rename guard

* add device_data_transform

* add device_data_transform_test

* modify GetExpectedKernelType

* update operator.run

* support test test_label_semantic_roles

* optimize code

* optimize code

* rename GetActualKernelType to GetExpectedKernelType

* fix chunk_eval_op and device_data_transform_test

* add is_same_place to place

* optimize code, refine rename_guard

* refine rename guard, add GetKernelTypeForVar

* optimize code

* add some log

* rename guard

* use sub scope to create var

* fix compile

* add IsInitialized for Tensor

* add VarIsTensor

* fix op_registry_test

* test

* tmp disable priority

* restore switch_kernel.md

* code clean

This can make it easier to locate error.

Bug fix when inserting fill_zeros_like_op.

Fix the output of conditional_block

update releasing doc

Fix doc of ParameterAttribute.

Fix comment to layers.fc

Add MKLDNNDeviceContext

[WIP]: feature/parallel_do

Fix adagrad op by removing broadcast of Eigen.

Parallel do

* "add c++ side kernel selection"

* "add multiple kernel op test"

* "kernel selection only support cudnn"

* "better formatter"

* "small fix with UseCPU"

* "depends on change interface Get(Place, Library)"

* "fix CI"

* "fix python cudnn test"

* "leave the register cudnn op to another PR"

* "fix CI"

* "use all kernel by default"

* "fix CI"

Add the concurrent programming design doc

* send_recv variable

* delete unused logs

* fix ci failed

* update

* resize tensor before tensor copy

* add selectedrows unit test

* check rows

Add a simple C++ inference example for fluid

Correctly handle lod information of image operators

* Add squared error layers doc

* Add doc for gru_unit

* Remove cdot which isn't supported

* Update layers.rst

* Update layers.rst (minor)

x_num_col_dims => num_flatten_dims

Async to drop kid

Default use one thread in fluid

Update the version of openblas for Android and iOS

Add flag use_mkl_packed

* "remove cudnndevicecontext"

* "remove unused init code"

* "fix hash functions"