Implement detection mAP evaluator wrapper and unify label format between SSD loss and mAP evaluator  (#8736)

* Implement mAP evalutor Python interface.

* Fix unit testing and uniy label format between SSD loss and mAP evalutor.

* Update doc.

* Adding Python boilerplate code for Go op

* Add very basic test case

* Adding the python logic for go routine

* Fix syntax

* Changing test to notest

* Rename Routine to Go

* Combining GoGuard and Go in one class

* Modify test

* Adding fluid close channel

* Fixing __init__.py for calling fluid.go()

* Adding stubs for channel methods and updating test case

* Removing import *

* Adding imports from concurrency

* Initial commit of GO_OP (for varun)

* Creating local scopes and go through them

* Updated go op inputs persistability enforcement

* Add thread execution; compile failing though

* Fix go op

* Cleaned up Go op

* Fix yapf format issue

* Readd warp ctc dir for unit tests

* Updated make_channel, channel_send, channel_recv and channel_close

* Moved thread function to another method, update unit tests

* remove output var

* Add stubs for channel operators

* Updating concurrency with signatures

* Updated the signature with return status

* Fixed dtype in variables

* Updating stub of ChannelSend + add infershape

* Updating stub of ChannelRecv + add infershape

* Updated signature

* Adding the channel_create operator

* Merge channel send+receive ops

* Update concurrency tests using all operators

* Updating the create op with ChannelHolder

* Fix issues with channel_create_op

* Add the implementation for channel_close op

* Add channel close operator, fix channel close op

* Adding the channel_send op

* Comment channels C++ and Python code

* Concurrency python api comment fix

* Update unit test to add Status variable

* Adding channel receive operator

* Update concurrency test to demonstrate a complete CSP flow

* Fix clang-format issues

* Fixed "Out" parameter name

* Fixing merge conflict in framework.py

* Add channel ops to framework.py no_kernel_op_set

* Seperating channel_send and channel_recv operators

* Documenting capacity type

* Update concurrency test to create go block as child block of main program

* Changing set status implementation

* fix ssd problems

* fix box decoder op

* fix dimension problem in detection tests

* update detection doc

* Update detection doc

* Update detection doc

* update detection doc

* update detection doc

When the second argument contains batch dimension, the axis should be 0.

Also makes elementwise ops more tolerant at handling tensors with trailing
singular dimensions.

Dim<0> is for scalar (rank-0 tensor). Adding Dim<0> can simplify
a lot of code.

* Enhance bipartite_match_op to support argmax matching after bipartite matching.

* Fix typo error.

* "try enhance concat op"

* "enhance the concat operator"

* Add block.fwd_block_id

* fix bug in memory optimization transpiler

* Change DFS to BFS

* Add comments

* Speed up elemwise grad

* Fix bug

* Add macro for MAX_BLOCK_DIM

* Move Pod Types from DataType enum to Type enum

* Fixed data_type.h

* Fix type in TensorDesc

* Add comment to framework.proto

* Fixed type in data_type.h

* Updated format of type in data_type.h

* Fix var_desc.h

* Fix op_kernel_type.h

* Fixed data_type_transform_test.cc

* Fix operator.h

* Fixed data_type_transform.cc

* Fixed op_kernel_type_test.cc

* Fix operator.cc

* Fixed data_layout_transform_test.cc

* Fix var_desc.cc

* Fixed assign_value_op.cc

* Fixed assign_value_op.h

* fixed protobuf.cc

* Fix data_layout_transform_test.cc and op_kernel_type_test.cc

* Fixed rnn_memory_helper_op.cc

* Fix progrma_desc_test.cc

* Fixed fill_constant_batch_size_like_op.cc

* Fix operator_test.cc

* Fixed fill_constant_op.cc

* Fixed gaussian_random_op.cc

* Fixed uniform_random_op.cc

* Fixed edit_distance_op.cc

* Fixed fill_constant_batch_size_like_op.cc

* Fixed rnn_memory_helper_op.cc

* Fixed chunk_eval_op.cc

* Fixed assign_value_op.cc

* Fixed assign_value_op.h

* Fixed cast_op.h

* Fixed cast_op.h

* Fix fill constant op

* Fixed clang for assign_value_op.cc

* Fix one_hot_op.h

* Fix one_hot_op.cc

* Fix fill_op.cc

* Fixed sum_op.cc

* Fixed sum_op clang

* Fix uniform_random_op.cc

* Fix gaussian_random_op.cc

* Fix backward.cc

* Fix protobuf.cc

* Fixed prune_test.cc

* Fixed op_registry_test.cc

* Fix data_device_transform_test.cu

* Fix travis error

* Fixed one_hot_op.cu

* Fixed op_registry_test.cc

* Fixed nccl_op.cc

* Fixing python tests

* Revert "Fixing python tests"

This reverts commit fccaa4c5818ed9f379ea1ce4315066cc78076c64.

* Fixing Pybind to remove data type

* Fixing tensor.py

* Updated the new files:

* Resolve error in merge conflict of fill_constant_batch_size_like_op.cc

The type of tensor z should be bool. And there's no need to call mutable_data because ElementwiseComputeEx will do it.

* Generating random numbers with given batch size

uniform_random_batch_size_like_op
gaussian_random_batch_size_like_op

* More comments about random seed.

* Move test_*_random_batch_size_like_op to unittests

* Update tensor_util.h

* Update with moved TensorDesc

* Fix tensur_utils.cu

* Update

* Update

* Update

* Update

* Make tensor_util.cu a symbolic link