* Update detection API add new check document

* update API.spec

* test=develop;add shanyi15 approved API.spec

* test=develop;update PM check API.spec

* check api.spec

* test=develop

* update API.spec

* test=develop;update API.spec

* update API.spec

* cat API.spec

* update documnent in api.spec

* check python35 api.spec

* update print_signatures md5 function

* test=develop

* update API.spec

* test=develop;fix python3 API.spec diff

* test=develop

* test=develop

* test=develop

* Refine doc of uniform_random and fix dtype
* Update defaule value in the arguments

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* Correct the comment in control_flow.py.

* Correct the argument list of ops.
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* Update API.spec.
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* Skip op_callstack attr for all op apis.
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* Remove use_mkldnn and is_test from python api.
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* Remove use_mkldnn and is_test from op_proto_maker and hard-coding them in python when generating doc string.
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test=release/1.3

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* Add INT8 calibration support in Paddle package; test=develop

* Refine beam_search_op to output an extra parent_idx tensor.
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* Fix the unittest test_beam_search_op.
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* Fix the merging mistake.
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* Refine the beam_search op and test.

* A basic CUDA implementation of beam_search for small batch_size.

* Implement CUDA kernel for beam_search_op.

* Use multiple CUDA threads in the same block to select the top beam.

* Update the python api of beam_search op.

* Enable extend function in CPU kernel of beam_search op.

* Unify the CUDA codes.
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* Unify the CPU kernel of beam_search op.

* Ensure the seletced items of beam_search_op's CPU kernel sorted by scores.

* Update the description of beam_search in API.spec.

* Enable the use of CUDA kernel in beam_search op.

* Exclude the beam_search's CUDA unittest when there is no CUDA gpu, and delete some debuging statements.
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* Follow comments.
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* Call the CPU kernel for beam_search op when batch_size > 4.
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* Remove the except of is_empty op in PrepareData.
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* Add generate_mask_labels_op to support Mask-RCNN.
* Refine sigmoid_cross_entropy to support nomalize mode.
* Fix generator_proposals_label.
* Use DeviceTemporaryAllocator in roi_pool and roi_algin.
* Remove shape check in data_feeder.