GitLab

* 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.

* fix
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

* Use an internal cuda stream for CopyDataFromTo

* small fix white space

* Fix to compile

* Make stream optional in copydata for compile

* fix lint issue

* Update cub functions to use internal stream

* Lint check

* Update CopyTo/CopyFrom/CopyFromTo to use internal stream

* Address comments

* Fix backward CUDA stream

* Avoid overloading CopyFromTo()

* Minor comment update

* Overload copydatafromto in cuda device api
Co-authored-by: xiny <xiny@nvidia.com>

* Wrap all CUDA runtime API/CUB calls with macro

* remove the usage of explicit cudaMalloc in favor of AllocWorkspace

* fix typo
Co-authored-by: Israt Nisa <neesha295@gmail.com>

Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>
Co-authored-by: Israt Nisa <neesha295@gmail.com>

* fixes

* fix

* more fixes

* update

* oops

* lint?

* temporarily revert - will fix in another PR

* more fixes

* skipping mxnet test

* address comments

* fix DDP

* fix edge dataloader exclusion problems

* stupid bug

* fix

* use_uvm option

* fix

* fixes

* fixes

* fixes

* fixes

* add evaluation for cluster gcn and ddp

* stupid bug again

* fixes

* move sanity checks to only support DGLGraphs

* pytorch lightning compatibility fixes

* remove

* poke

* more fixes

* fix

* fix

* disable test

* docstrings

* why is it getting a memory leak?

* fix

* update

* updates and temporarily disable forkingpickler

* update

* fix?

* fix?

* oops

* oops

* fix

* lint

* huh

* uh

* update

* fix

* made it memory efficient

* refine exclude interface

* fix tutorial

* fix tutorial

* fix graph duplication in CPU dataloader workers

* lint

* lint

* Revert "lint"

This reverts commit 805484dd553695111b5fb37f2125214a6b7276e9.

* Revert "lint"

This reverts commit 0bce411b2b415c2ab770343949404498436dc8b2.

* Revert "fix graph duplication in CPU dataloader workers"

This reverts commit 9e3a8cf34c175d3093c773f6bb023b155f2bd27f.
Co-authored-by: xiny <xiny@nvidia.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* Feat: support API "randomwalk_topk" in library

* Feat: use the new API "randomwalk_topk" for PinSAGESampler

* Minor

* Minor

* Refactor: modified codes as checker required

* Minor

* Minor

* Minor

* Minor

* Fix: checking errors in RandomWalkTopk

* Refactor: modified the docstring for randomwalk_topk

* change randomwalk_topk to internal

* fix

* rename

* Minor for pinsage.py

* Feat: support randomwalk and SelectPinSageNeighbors on GPU

Port RandomWalk algorithm on GPU,
and port SelectPinSageNeighbors on GPU.

* Feat: support GPU on python APIs

* Feat: remove perf print information in FrequenchHashmap

* Fix: modified the code format

Modified the code format as task_lint.sh suggested

* Feat: let test script support PinSAGESampler on GPU

Let test script support PinSAGESampler on GPU,
minor of "restart_prob".

* Minor

* Minor

* Minor

* Refactor: use the atomic operations from the array module

* Minor: change the long lines

* Refactor: modified the get_node_types for gpu

* Feat: update the contributor date

* Perf: remove unnecessary stream sync

* Feat: support other random walk

But the non-uniform choice is still not supported.

* Fix: add CUDA switch for random walk
Co-authored-by: Quan Gan <coin2028@hotmail.com>