GitLab

* cleaned pl node classification example

* conform to PL's method of updating the dataloader

* update

* lint

* fix test

* fix

Signed-off-by: Serge Panev <spanev@nvidia.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Update README.md

* Update README.md

* Update README.md
Co-authored-by: Rhett Ying <85214957+Rhett-Ying@users.noreply.github.com>

[Examples] Update graphsage multi-gpu example to use mutliple GPUs for validation and testing. (#3827)

* Update graphsage multi-gpu example to use mutliple GPUs for validation and
testing.

* Remove argmax

* Fix rebase error

* Add more documentation to example and simplify

* Switch to name shared memory

* Add comment about how training is distributed

* Restore iteration count

* fix munmap error reporting for better error messages
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Fix
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* gat layers fix

* minor bug
Co-authored-by: decoherencer <decoherencer@users.noreply.github.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* fix distributed multi-GPU example device

* try Join

* update version requirement in README

* use model.join

* fix docs
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* fix multi-gpu rgcn example

* remove dgl.multiprocessing in turorials

* add a comment
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* Add pure_gpu example of graphsage

* move to advanced directory
Co-authored-by: Quan Gan <coin2028@hotmail.com>

* [Model]P-GNN

* updata

* [Example]P-GNN

* Update README.md
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* huuuuge update

* remove

* lint

* lint

* fix

* what happened to nccl

* update multi-gpu unsupervised graphsage example

* replace most of the dgl.mp.process with torch.mp.spawn

* update if condition for use_uva case

* update user guide

* address comments

* incorporating suggestions from @jermainewang

* oops

* fix tutorial to pass CI

* oops

* fix again
Co-authored-by: Xin Yao <xiny@nvidia.com>

* Update

* Update

* Update

* Fix

* Update

* Update

* Update

* Fix

* WIP: TypedLinear and new RelGraphConv

* wip

* further simplify RGCN

* a bunch of tweak for performance; add basic cpu support

* update on segmm

* wip: segment.cu

* new backward kernel works

* fix a bunch of bugs in kernel; leave idx_a for future

* add nn test for typed_linear

* rgcn nn test

* bugfix in corner case; update RGCN README

* doc

* fix cpp lint

* fix lint

* fix ut

* wip: hgtconv; presorted flag for rgcn

* hgt code and ut; WIP: some fix on reorder graph

* better typed linear init

* fix ut

* fix lint; add docstring

* fix shared memory issue

* oops

* add explanation

* add explanation

* 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>

* Update (#5)

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* FIx

* Try

* Update

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* Fix

* Update

* Fix

* Fix

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* Fix

* Update

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* Update

* Update

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* Fix

* Fix

* Update

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* Update

* Update

* Fix

* Fix

* Fix

* Update

* Update

* Update

* Update

* Update

* Update README.md

* Update

* Fix

* Update

* Update

* Fix

* Fix

* Fix

* Update

* Update

* Update
Co-authored-by: Ubuntu <ubuntu@ip-172-31-6-240.us-west-2.compute.internal>

* Update

* Update

* Fix

* Update

* Update

* Update

* Fix

* Update

* Update

* Update

* Update

* Update

* Update

* CI
Co-authored-by: Ubuntu <ubuntu@ip-172-31-6-240.us-west-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-57-123.us-west-2.compute.internal>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* implement pin_memory/unpin_memory/is_pinned for dgl.graph

* update python docstring

* update c++ docstring

* add test

* fix the broken UnifiedTensor

* XPU_SWITCH for kDLCPUPinned

* a rough version ready for testing

* eliminate extra context parameter for pin/unpin

* update train_sampling

* fix linting

* fix typo

* multi-gpu uva sampling case

* disable new format materialization for pinned graphs

* update python doc for pin_memory_

* fix unit test

* UVA sampling for link prediction

* dispatch most csr ops

* update graphsage example to combine uva sampling and UnifiedTensor

* update graphsage example to combine uva sampling and UnifiedTensor

* update graphsage example to combine uva sampling and UnifiedTensor

* update doc

* update examples

* change unitgraph and heterograph's PinMemory to in-place

* update examples for multi-gpu uva sampling

* update doc

* fix linting

* fix cpu build

* fix is_pinned for DistGraph

* fix is_pinned for DistGraph

* update graphsage unsupervised example

* update doc for gpu sampling

* update some check for sampling device switching

* fix linting

* adapt for new dataloader

* fix linting

* fix

* fix some name issue

* adjust device check

* add unit test for uva sampling & fix some zero_copy bug

* fix linting

* update num_threads in graphsage examples
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* initial update

* more

* more

* multi-gpu example

* cluster gcn, finalize homogeneous

* more explanation

* fix

* bunch of fixes

* fix

* RGAT example and more fixes

* shadow-gnn sampler and some changes in unit test

* fix

* wth

* more fixes

* remove shadow+node/edge dataloader tests for possible ux changes

* lints

* add legacy dataloading import just in case

* fix

* update pylint for f-strings

* fix

* lint

* lint

* lint again

* cherry-picking commit fa9f494

* oops

* fix

* add sample_neighbors in dist_graph

* fix

* lint

* fix

* fix

* fix

* fix tutorial

* fix

* fix

* fix

* fix warning

* remove debug

* add get_foo_storage apis

* lint

* feature: add a parse parameter degree_as_nlabel for pytorch-gin demo

* fix some typo

* [fix]: allow to benchmark all of the 9 dataset.

* [Feature] add epoch number to log

* [Feature]:simply list the command lines for all datasets (https://github.com/dmlc/dgl/pull/3676#discussion_r790270705

) and run a test.

* Update README.md
Co-authored-by: Ubuntu <ubuntu@ip-172-31-10-175.ap-northeast-1.compute.internal>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

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

Co-authored-by: zhjwy9343 <6593865@qq.com>

Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-30-164.us-west-2.compute.internal>

* Add nccl backend  and fix pad_data function cuda bug

* Update train_dist.py

* Update train_dist.py
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* Adding initial files of example

* Removing old timing code

* Improving doc strings and fixing some minor bugs

* Merging from upstream and addressing PR comments
Co-authored-by: zakjost <jostza@amazon.com>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* added distgnn plus libra codebase

* Dist application codes

* added comments in partition code. changed the interface of partitioning call.

* updated readme

* create libra partitioning branch for the PR

* removed disgnn files for first PR

* updated kernel.cc

* added libra_partition.cc and moved libra code from kernel.cc to libra_partition.cc

* fixed lint error; merged libra2dgl.py and main_Libra.py to libra_partition.py; added graphsage/distgnn folder and partition script.

* removed libra2dgl.py

* fixed the lint error and cleaned the code.

* revisions due to PR comments. added distgnn/tools contains partitions routines

* update 2 PR revision I

* fixed errors; also improved the runtime by 10x.

* fixed minor lint error

* fixed some more lints

* PR revision II changed the interface of libra partition function

* rewrite docstring
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* tmp fix

* add description

* rgcn with new heterograph API

* added new apply_edge()

* optimized forward pass

* renaming from *hetero to *heteroAPI
Co-authored-by: Israt Nisa <nisisrat@amazon.com>
Co-authored-by: Da Zheng <zhengda1936@gmail.com>

* Fix issue 3527

* Changed default device

* Added g to device

* Update

* Fix