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This reverts commit 00c27cb2.

* use runtime parallel_for

* grain size

* Update array_index_select.cc

* replace

* blabla

* balbla

* blabla
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* param

* brief

* note

* return

* tparam

* brief2

* file

* return2

* return

* blabla

* all
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* [Misc] clang-format auto fix.

* manual
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* rename `DLContext` to `DGLContext`

* rename `kDLGPU` to `kDLCUDA`

* replace DLTensor with DGLArray

* fix linting

* Unify DGLType and DLDataType to DGLDataType

* Fix FFI

* rename DLDeviceType to DGLDeviceType

* decouple dlpack from the core library

* fix bug

* fix lint

* fix merge

* fix build

* address comments

* rename dl_converter to dlpack_convert

* remove redundant comments

[Feature][Performance] Implement NCCL wrapper for communicating NodeEmbeddings and sparse gradients. (#2825)

* Split NCCL wrapper from sparse optimizer and sparse embedding

* Add more unit tests for single node nccl

* Fix unit test for tf

* Switch to device histogram

* Fix histgram issues

* Finish migration to histogram

* Handle cases with zero send/recieve data

* Start on partition object

* Get compiling

* Updates

* Add unit tests

* Switch to partition object

* Fix linting issues

* Rename partition file

* Add python doc

* Fix python assert and finish doxygen comments

* Remove stubs for range based partition to satisfy pylint

* Wrap unit test in GPU only

* Wrap explicit cuda call in ifdef

* Merge with partition.py

* update docstrings

* Cleanup partition_op

* Add Workspace object

* Switch to using workspace object

* Move last remainder based function out of nccl_api

* Add error messages

* Update docs with examples

* Fix linting erros
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* add cub; array cumsum

* CSRSliceRows

* fix warning

* operator << for ndarray; CSRSliceRows

* add CSRIsSorted

* add csr_sort

* inplace coosort and outplace csrsort

* WIP: coo is sorted

* mv cuda_utils

* add AllTrue utility

* csr sort

* coo sort

* coo2csr for sorted coo arrays

* CSRToCOO from sorted

* pass tests for the new kernel changes

* cannot use inplace sort

* lint

* try fix msvc error

* Fix g.copy_to and g.asnumbits; ToBlock no longer uses CSC

* stash

* revert some hack

* revert some changes

* address comments

* fix

* fix to_block unittest

* add todo note

* trying to refactor IndexSelect

* partial implementation

* add index select and assign for floats as well

* move to random choice source

* more updates

* fixes

* fixes

* more fixes

* adding python impl

* fixes

* unit test

* lint

* lint x2

* lint x3

* update metapath2vec

* debugging performance

* still debugging for performance

* tuning

* switching to succvec

* redo

* revert non-uniform sampler to use vector

* still not fast

* why does this crash with OpenMP???

* because there was a data race!!!

* add documentations and remove assign op

* lint

* lint x2

* lol what have i done

* lint x3

* fix and disable gpu testing

* bugfix

* generic random walk

* reorg the random walk source code

* Update randomwalks.h

* Update randomwalks_cpu.cc

* rename file

* move internal function to anonymous ns

* reorg & docstrings

* constant restart probability

* docstring fix

* more commit

* random walk with restart, tested

* some fixes

* switch to using NDArray for choice

* massive fix & docstring

* lint x?

* lint x??

* fix

* export symbols

* skip gpu test

* addresses comments

* replaces another VecToIdArray

* add randomwalks.h to include

* replace void * with template