GitLab

* Update from master (#4584)

* [Example][Refactor] Refactor graphsage multigpu and full-graph example (#4430)

* Add refactors for multi-gpu and full-graph example

* Fix format

* Update

* Update

* Update

* [Cleanup] Remove async_transferer (#4505)

* Remove async_transferer

* remove test

* Remove AsyncTransferer
Co-authored-by: Xin Yao <xiny@nvidia.com>
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* [Cleanup] Remove duplicate entries of CUB submodule   (issue# 4395) (#4499)

* remove third_part/cub

* remove from third_party
Co-authored-by: Israt Nisa <nisisrat@amazon.com>
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* [Bug] Enable turn on/off libxsmm at runtime (#4455)

* enable turn on/off libxsmm at runtime by adding a global config and related API
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* [Feature] Unify the cuda stream used in core library (#4480)

* 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>

* [Feature] Added exclude_self and output_batch to knn graph construction (Issues #4323 #4316) (#4389)

* * Added "exclude_self" and "output_batch" options to knn_graph and segmented_knn_graph
* Updated out-of-date comments on remove_edges and remove_self_loop, since they now preserve batch information

* * Changed defaults on new knn_graph and segmented_knn_graph function parameters, for compatibility; pytorch/test_geometry.py was failing

* * Added test to ensure dgl.remove_self_loop function correctly updates batch information

* * Added new knn_graph and segmented_knn_graph parameters to dgl.nn.KNNGraph and dgl.nn.SegmentedKNNGraph

* * Formatting

* * Oops, I missed the one in segmented_knn_graph when I fixed the similar thing in knn_graph

* * Fixed edge case handling when invalid k specified, since it still needs to be handled consistently for tests to pass
* Fixed context of batch info, since it must match the context of the input position data for remove_self_loop to succeed

* * Fixed batch info resulting from knn_graph when output_batch is true, for case of 3D input tensor, representing multiple segments

* * Added testing of new exclude_self and output_batch parameters on knn_graph and segmented_knn_graph, and their wrappers, KNNGraph and SegmentedKNNGraph, into the test_knn_cuda test

* * Added doc comments for new parameters

* * Added correct handling for uncommon case of k or more coincident points when excluding self edges in knn_graph and segmented_knn_graph
* Added test cases for more than k coincident points

* * Updated doc comments for output_batch parameters for clarity

* * Linter formatting fixes

* * Extracted out common function for test_knn_cpu and test_knn_cuda, to add the new test cases to test_knn_cpu

* * Rewording in doc comments

* * Removed output_batch parameter from knn_graph and segmented_knn_graph, in favour of always setting the batch information, except in knn_graph if x is a 2D tensor
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* [CI] only known devs are authorized to trigger CI (#4518)

* [CI] only known devs are authorized to trigger CI

* fix if author is null

* add comments

* [Readability] Auto fix setup.py and update-version.py (#4446)

* Auto fix update-version

* Auto fix setup.py

* Auto fix update-version

* Auto fix setup.py

* [Doc] Change random.py to random_partition.py in guide on distributed partition pipeline (#4438)

* Update distributed-preprocessing.rst

* Update
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* fix unpinning when tensoradaptor is not available (#4450)

* [Doc] fix print issue in tutorial (#4459)

* [Example][Refactor] Refactor RGCN example (#4327)

* Refactor full graph entity classification

* Refactor rgcn with sampling

* README update

* Update

* Results update

* Respect default setting of self_loop=false in entity.py

* Update

* Update README

* Update for multi-gpu

* Update

* [doc] fix invalid link in user guide (#4468)

* [Example] directional_GSN for ogbg-molpcba (#4405)

* version-1

* version-2

* version-3

* update examples/README

* Update .gitignore

* update performance in README, delete scripts

* 1st approving review

* 2nd approving review
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* Clarify the message name, which is 'm'. (#4462)
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* [Refactor] Auto fix view.py. (#4461)
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* [Example] SEAL for OGBL (#4291)

* [Example] SEAL for OGBL

* update index

* update

* fix readme typo

* add seal sampler

* modify set ops

* prefetch

* efficiency test

* update

* optimize

* fix ScatterAdd dtype issue

* update sampler style

* update
Co-authored-by: Quan Gan <coin2028@hotmail.com>

* [CI] use https instead of http (#4488)

* [BugFix] fix crash due to incorrect dtype in dgl.to_block() (#4487)

* [BugFix] fix crash due to incorrect dtype in dgl.to_block()

* fix test failure in TF

* [Feature] Make TensorAdapter Stream Aware (#4472)

* Allocate tensors in DGL's current stream

* make tensoradaptor stream-aware

* replace TAemtpy with cpu allocator

* fix typo

* try fix cpu allocation

* clean header

* redirect AllocDataSpace as well

* resolve comments

* [Build][Doc] Specify the sphinx version (#4465)
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* reformat

* reformat

* Auto fix update-version

* Auto fix setup.py

* reformat

* reformat
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* Move mock version of dgl_sparse library to DGL main repo (#4524)

* init

* Add api doc for sparse library

* support op btwn matrices with differnt sparsity

* Fixed docstring

* addresses comments

* lint check

* change keyword format to fmt
Co-authored-by: Israt Nisa <nisisrat@amazon.com>

* [DistPart] expose timeout config for process group (#4532)

* [DistPart] expose timeout config for process group

* refine code

* Update tools/distpartitioning/data_proc_pipeline.py
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* [Feature] Import PyTorch's CUDA stream management (#4503)

* add set_stream

* add .record_stream for NDArray and HeteroGraph

* refactor dgl stream Python APIs

* test record_stream

* add unit test for record stream

* use pytorch's stream

* fix lint

* fix cpu build

* address comments

* address comments

* add record stream tests for dgl.graph

* record frames and update dataloder

* add docstring

* update frame

* add backend check for record_stream

* remove CUDAThreadEntry::stream

* record stream for newly created formats

* fix bug

* fix cpp test

* fix None c_void_p to c_handle

* [examples]educe memory consumption (#4558)

* [examples]educe memory consumption

* reffine help message

* refine

* [Feature][REVIEW] Enable DGL cugaph nightly CI  (#4525)

* 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>

* Revert "[Feature][REVIEW] Enable DGL cugaph nightly CI  (#4525)" (#4563)

This reverts commit ec171c64

.

* [Misc] Add flake8 lint workflow. (#4566)

* Add pyproject.toml for autopep8.

* Add pyproject.toml for autopep8.

* Add flake8 annotation in workflow.

* remove

* add

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

* [Misc] Try use official pylint workflow. (#4568)

* polish update_version

* update pylint workflow.

* add

* revert.
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* [CI] refine stage logic (#4565)

* [CI] refine stage logic

* refine

* refine

* remove (#4570)
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* Add Pylint workflow for flake8. (#4571)

* remove

* Add pylint.
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* [Misc] Update the python version in Pylint workflow for flake8. (#4572)

* remove

* Add pylint.

* Change the python version for pylint.
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* Update pylint. (#4574)
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* [Misc] Use another workflow. (#4575)

* Update pylint.

* Use another workflow.
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* Update pylint. (#4576)
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* Update pylint.yml

* Update pylint.yml

* Delete pylint.yml

* [Misc]Add pyproject.toml for autopep8 & black. (#4543)

* Add pyproject.toml for autopep8.

* Add pyproject.toml for autopep8.
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* [Feature] Bump DLPack to v0.7 and decouple DLPack from the core library (#4454)

* 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
Co-authored-by: Chang Liu <chang.liu@utexas.edu>
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>
Co-authored-by: Xin Yao <xiny@nvidia.com>
Co-authored-by: Xin Yao <yaox12@outlook.com>
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* [Deprecation] Dataset Attributes (#4546)

* Update

* CI

* CI

* Update
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* [Example] Bug Fix (#4665)

* Update

* CI

* CI

* Update

* Update
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* Update
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Co-authored-by: Xin Yao <xiny@nvidia.com>
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* Update citation_graph.py

* Update

* Update

* Update
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* Update link to correct destination.

* Update 4_rgcn.py

* Update 4_rgcn.py

* Update tutorials/models/1_gnn/4_rgcn.py

* Update tutorials/models/1_gnn/4_rgcn.py

* Update tutorials/models/1_gnn/4_rgcn.py
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There is some misleading text.
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* Update heterograph.py

* remove unit tests

* replace tutorial

* reorg

* change titles

* rm some stale API doc; minor fix

* fix docs

* add warning

* rm new-tutorial run in ci

* lint

* Update gatedgraphconv.py

* Update entity_classify.py

* Update data-process.rst

* Update reading_data.py

* Update data-process.rst

* Update utils.py

* Update knowledge_graph.py

* Update entity_classify.py

* Update rdf.py

* Update entity_classify_mb.py

* Update test_classify.py

* Update tensor.py

* Update sparse.py

* Update entity_classify_mp.py

* Update 6_line_graph.py

* Update

* Update

* Update

* Update

* Update

* Remove SSE

* Update env_var.rst

* remove mxnet tutorial

* remove sse

* fix docs

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* PPIDataset

* Revert "PPIDataset"

This reverts commit 264bd0c960cfa698a7bb946dad132bf52c2d0c8a.

* SSTDataset

* Update tree.py

* Update README.md

* Update README.txt

* traversal to new framework

* add new

* Fix compile

* Pass test

* keep old version

* lint

* lint

* Fix

* Fix

* Fix compatability with new master

* Fix test and tutorials

* Update according to comments

* Fix test
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* Generate vocabulary from a new dataset

* CI"

* Update doc and tutorials

* Fix

* patched 1_first

* done 2_basics

* done 4_batch

* done 1_gcn, 9_gat, 2_capsule

* 4_rgcn.py

* revert

* more fix

* upd

* upd

* upd

* lint

* fix

* fix test

* fix

* fix

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd

* upd tutorial

* upd

* upd

* fix kg

* upd doc organization

* refresh test

* upd

* refactor doc

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

* reorg tutorials and api docs

* fix

* [Doc] Tree-LSTM in DGL, edit pass for readability

Edit for grammar and style. 
How about deleting the last line? "Besides, you..." It needs a transition or some context.

* Update tutorials/models/2_small_graph/3_tree-lstm.py

* Update tutorials/models/2_small_graph/3_tree-lstm.py

* Old wines new title, edit for grammar and style

new descriptive title here and an edit pass @aaronmarkham

* Update tutorials/models/4_old_wines/README.txt

* don't have activation.

* add evaluation.

* address comment.

* [Doc] Small graphs readme.txt, edit pass

Edit for grammar and style. Should this be an .rst on .txt?

* Update README.txt

* [Doc] Generative models, edit pass

Edit for grammar and style. Can you clarify "Instead of and/or"?

* Update tutorials/models/3_generative_model/5_dgmg.py

* Update tutorials/models/3_generative_model/5_dgmg.py
Co-Authored-By: Aaron Markham <markhama@amazon.com>

* Update tutorials/models/3_generative_model/5_dgmg.py
Co-Authored-By: Aaron Markham <markhama@amazon.com>

* Update tutorials/models/3_generative_model/5_dgmg.py
Co-Authored-By: Aaron Markham <markhama@amazon.com>

* Update tutorials/models/3_generative_model/5_dgmg.py
Co-Authored-By: Aaron Markham <markhama@amazon.com>

Edit pass for grammar and style

Edited for grammar and style.

Edit pass for grammar and style

* Edit for readability

* giant_graph_readme edit for grammar

* NodeFlow and Sampling edit pass for grammar

* Update tutorials/models/1_gnn/9_gat.py

* Update tutorials/models/1_gnn/9_gat.py

Revisions for grammar and style

* Edit pass

Updates for grammar and readability

* Update tutorials/models/1_gnn/6_line_graph.py

* Update tutorials/models/1_gnn/6_line_graph.py

* Update tutorials/models/1_gnn/6_line_graph.py

Grammar and style updates