* add DELTA

* add object detection dataset, reader, task and demo

* fix typo

* enhance predict dataset

* optimize demo and cv reader

* reconsitution reader and dataset

* machine reading comprehension

* update autodl

* fix reader that drops dataset in predicting phase

* update the directory of tmp.txt

* Add Reading Comprehension Taskwq

* Add Reading Comprehension Task

* Add Reading Comprehension Task

* dd Reading Comprehension Task

* Add the reading comprehension task

* add reading comprehension task

* Add reading comprehension

* Add reading comprehension task

* add reading comprehension task

* Add reading comprehension task

* Add reading comprehension task

* Fix tokenization for bert chn

* Add GLUE and XNLI, modify text-classification demo test=develop (#94)

* Add GLUE and XNLI, modify text-classification demo

* add hub_server rw lock

* Support GLUE (#108)

* Support GLUE

* Support MNLI_m and MNLI_mm

* restore checkpoint.py

* Modify for review

* Fix the bug whether module is valid or not

* Enhancetask (#122)

* accelerate predict

* Add autoft (#127)

* add autofinetune

* update paddlehub required libs

* Add copyright

* Split task and add regression demo  (#130)

* split task

* add regression demo

* implement CombinedStrategy (#128)

* implement CombinedStrategy

* optimize some details (#131)

* optimize some details

* optimize some details (#133)

* support cv_reader

* use logger instead of print

* add warning

* remove todo

* add gradual_unfreeze frz_blocks

* replace the visualization toolkit from visualdl to tb-paddle (#139)

* replace the logging toolkit from visualdl to tb-paddle.

* modified:   requirements.txt

* modified:   paddlehub/finetune/task/basic_task.py

* update autofinetune  (#135)

* update autofinetune (add modelbased evaluator)

* support cpu count

* fix ci

* Support GLUE XNLI

* Fix description error

* fix yapf failed

* Travis CI: Streamline and use flake8 to find Python syntax errors and undefined names

The __sudo:__ tag is deprecated in Travis CI and __Linux__ and __Python 3.6__ are defaults.

* import numpy as np for line 72

* noqa: Code uses version detection instead of feature detection

https://docs.python.org/3/howto/pyporting.html#use-feature-detection-instead-of-version-detection

* Modify the coding format of senta_demo.py and lac_demo.py

* Add the toxic dataset and multi-label task

* Add the multi_label classification demo

* Fix the encoding format