* Update the mnist test cases with the new API syntax.

* Turn on the tests for MNIST

* delete the test files got merged accidently.

* Enable the mnist tests. ready for test driven development.

* Comment out the infer first
This is to confirm that the Trainer.train is working

* Add CMake file to include the tests

* Make the train program only return avg_cost for now

* Update the tests to use the latest syntax

typo fixed

* add Inference.infer

* optimize code

* update no_test_word2vec_new_api.py

* update trainer

* split check_and_get_place

* use inference_program to save inference model in Trainer

* update demo

* update save_inference_model

* clean code

update mklml version, disable building tests and examples when install mkldnn

fix unittest-error: test_network_with_dtype

Fix two deadlinks in paddle/README.md

Fix compile on mac

Clean OpProtoAndCheckerMaker

disable building tests and examples when install mkldnn
skip -Werror=unused-result

* a draft of trainer.test()

* polish trainer.test()

* polish trainer.test()

* update code format

* update

* polish code

* polish code

* polish code

* Make trainer.test follow the rule of returning [loss, metric, metric, ..]

* Add FP16 option in save_combine_op

* Fix casting issue

Clean Parallel exe

Refine serde code

* add rdma train doc

* update by comment

* fix table

Rewrite Matmul, make code cleaner

add prependAllocatedop

Add float16 support to load op

fix tensorrt_engine compiler error

* "add float64 tests"

* "fix based comment"

* "fixed based comment"

Our tests interfere with each other and cause random failure.

save metrics data to csv file

Dockerfile: fix production dockefile when WITH_GOLANG=OFF.

decrease the pass number of test_label_semantic_roles