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* cleanup unused cmake options

* disable BUILD_TORCH for cugraph

* resolve comments

* expose GeneratePermutation

* add sparse_all_to_all_push

* add sparse_all_to_all_pull

* add unit test

* handle world_size=1

* remove python nccl wrapper

* remove the nccl dependency

* use pinned memory to speedup D2H copy

* fix lint

* resolve comments

* fix lint

* fix ut

* resolve comments

This reverts commit a5e31391.

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

* test

* blabla

* add

* reformat

* balbla

* rollback

* remove

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

* Abort previous CI

* script

* newtry

* more

* fix

* comment

* add notes

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

* update

* polish

* polish

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

* rename

* remove test transpose

* udpate

* rename

* cleanup

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

* Set USE_LIBXSMM default to OFF.

* update

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

* move example test from unit test to examples

* oops

* oops

* ok

* enable sparse on windows and mac

* that was stupid

* let's see what's going on..

* [Sparse] Fix the import error on Mac OS.

When using template functions that are defined in source files from DGL,
the loader of MacOS somehow cannot find their definitions. This fix simply
avoids depending on template functions from DGL headers.

With this fix, the sparse tests all pass on the MAC environment.

* ok this is the problem

* make errors clearer

* uh

* test

* Update __init__.py

* disabling ddp on windows

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Co-authored-by: czkkkkkk <zekucai@gmail.com>

* enable dgl sparse build in default

* disable sparse build on cugraph

* update

* pass gcn

* example tests

* pass gcnii, hgnn, sgc, sign

* black

* test file

* add torchmetrics

* migrate appnp, c_and_s, twirls

* fix style

* minor fix

* fix hypergraphatt and twirls

* pass gat

* fix torchmetric

* lintrunner
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* [Dist] enable to chunk node/edge data into arbitrary number of chunks

* [Dist] enable to split node/edge data into arbitrary parts

* refine code

* Format boolean to uint8 forcely to avoid dist.scatter failure

* convert boolean to int8 before scatter and revert it after scatter

* refine code

* fix test

* refine code

* move test utilities into utils.py

* update comment

* fix empty data

* update

* update

* fix empty data issue

* release unnecessary mem

* release unnecessary mem

* release unnecessary mem

* release unnecessary mem

* release unnecessary mem

* remove unnecessary shuffle data

* separate array_split into standalone utility

* add example
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* [Sparse] Add sparse matrix C++ implementation

* Add documentation

* Update

* Minor fix

* Move Python code to dgl/mock_sparse2

* Move headers to include

* lint

* Update

* Add dgl_sparse directory

* Move src code to dgl_sparse

* Add __init__.py in tests to avoid naming conflict

* Add dgl sparse so in Jenkinsfile

* Complete docstring & SparseMatrix basic op

* lint

* Disable win tests

* add bf16 specializations

* remove SWITCH_BITS

* enable amp for bf16

* remove SWITCH_BITS for cpu kernels

* enbale bf16 based on CUDART

* fix compiling for sm<80

* fix cpu build

* enable unit tests

* update doc

* disable test for CUDA < 11.0

* address comments

* address comments

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

* [CI] Enable DGL cugaph nightly CI

* fix build issue

* remove runtime

* disable warning for tensorpipe

* fix warning

* enable lint check for cuh files

* resolve comments

This reverts commit ec171c64.

* Added cugraph nightly scripts

* Removed nvcr.io//nvidia/pytorch:22.04-py3 reference
Co-authored-by: Rhett Ying <85214957+Rhett-Ying@users.noreply.github.com>

* chunked graph data format

* Update

* Update

* Update task_distributed_test.sh

* Update

* Update

* Revert "Update"

This reverts commit 03c461870f19375fb03125b061fc853ab555577f.

* Update

* Update

* ssh-keygen

* CI

* install openssh

* openssh

* Update

* CI

* Update

* Update
Co-authored-by: Ubuntu <ubuntu@ip-172-31-53-142.us-west-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-16-87.us-west-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-20-21.us-west-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-9-26.ap-northeast-1.compute.internal>

* [CI] upgrade python version to 3.7.0

* do not upgrade for mxnet cpu due to seg fault

* fix test failure for mxnet

* [CI] upgrade python version to 3.7.0

* do not upgrade for mxnet cpu due to seg fault

* fix test failure for mxnet

* [CI] separate distributed tests from torch cpu tests

* remove TF related env

* [DistTest] fix incorrect shell if statement

* fix incorrect use of dist.initialize()

* Fix test_csrmm for tensor core

* unset allow tf32 flag

* update test unified tensor

* skip fp16 for CPU

* Refactor GCN example

* Refactor GCN based on graphsage

* Readme update

* Minor update

* update

* Remove user-defined GCN implementation

* README update

* Update

* Update CONTRIBUTORS.md

* update task_example_test
Co-authored-by: Xin Yao <xiny@nvidia.com>

* [CI] add new stage specific forcuda related features based on nvidia+pytorch

* build and test for gpu_nv

* fix build failure

* fix unit tests

* make -j

* install cython beforehand

* copy cython lib

* test cugraph tests only

* fix typo

* separate test script for cugraph

* refactor build dgl shell