GitLab

* Added binary builtinMsgFunc forward() for heterograph

* Added backward for u_op_v

* Supports all binary builtin forward

* Supports binary message funcs with reduce func sum

* lint check

* removed import torch from unittest

* enabled GPU test

* lint check

* Fixed docstrings

* rename func get_hs_id

* edited comment
Co-authored-by: Israt Nisa <nisisrat@amazon.com>

* remove

* remove

* fix

* remove

* remove

* [CPU, Parallel] Rewriting omp pragmas with parallel_for

* [CPU, Parallel] Decrease number of calls to task function

* c[CPU, Parallel] Modify calls to new interface of parallel_for

Co-authored-by: Ubuntu <ubuntu@ip-172-31-2-66.ec2.internal>

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

[Feature] Add a HINT for the per edge type sampler of heterogeneous DistGraph that highlighting the etypes are sorted already. (#3260)

* pass cpp test

* distgraph use sorted edge flag.

* lint

* triger

* update test
Co-authored-by: Ubuntu <ubuntu@ip-172-31-2-66.ec2.internal>

* Optimize sampling

* Stop initialization of array

* Fix includes for linting

* Move comment

* Fix replace
Co-authored-by: Da Zheng <zhengda1936@gmail.com>

* Make column double indices lazy

* Copy indices to proper contexts

* Fix initialization

* Add unit test

* Fix unit test for tensorflow

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

* Update README.md

* Update README.md

* handle empty frontiers.

* fix lint.

* fix
Co-authored-by: Ubuntu <ubuntu@ip-172-31-2-202.us-west-1.compute.internal>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* Doc: HetGConv note for `edge_type_subgraph`

For the rational behind this note see the discussion in #3003.

* WIP: Requirements for building the docs.

Had to install all these packages to get further with building the docs.

Didn't successfully build them yet, tho.

* Test

* Update

* Update hetero.py

* Update hetero.py
Co-authored-by: Ubuntu <ubuntu@ip-172-31-13-32.us-west-2.compute.internal>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* some modifications for pointnet2

* temporarily save changes

* move files to new directory point_transformer

* implement point transformer for classification

* restore train_cls in pointnet

* implement point transformer for partseg

* fix point transformer for nan loss

* modify point transformer for cls

* modify training setting

* update transformer for cls

* update code

* update code for latest performance

* update the example index

* some minor changes
Co-authored-by: Tong He <hetong007@gmail.com>

* allow for configuring default_dir

* allow for using DGLDEFAULTDIR environment variable

* Update env_var.rst
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* [Doc] fix formula in RelGraphConv

* refine descriptions

There is some misleading text.
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

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

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

* Update model.py

* Update README.md
Co-authored-by: Zihao Ye <expye@outlook.com>

* Implement range based NDArrayPartition

* Finish implement range based partition support

* Add unit test

* Fix whitepace

* Add Kernel suffix

* Fix argument passing

* Add doxygen docs and improve variable naming

* Add unit test

* Add function for converting a partition book

* Add example to partition_op docs

* Fix dtype conversion for mxnet and tensorflow

Co-authored-by: Zihao Ye <expye@outlook.com>

* Update filter code

* Add unit tests

* Fixes

* Switch to indices

* Rename functions

* Fix linting

* Fix whitespace

* Add doc

* Fix heterograph

* Change workspace allocation

* Fix linting

* Fix docs in filter.py

* Add todo
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

[bugfix] Link against pytorch library by name rather than path (attempting to fix linking issue). (#3246)

* Use library name

* fix for mac builds from source
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* add evolveGCN example

* small fix

* fix defect

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

* Add pytorch-direct version

* remove

* add documentation for UnifiedTensor

* Revert "add documentation for UnifiedTensor"

This reverts commit 63ba42644d4aba197c1cb4ea4b85fa1bc43b8849.

* alignment fix for UnifiedTensor access

* fix linting issue
Co-authored-by: shhssdm <shhssdm@gmail.com>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* upd

* fix

* upd

[Tools] In `tools/launch.py`, correctly pass all DGL client/server env vars if udf is a multi-command (#3245)

* Correctly pass all DGL client/server env vars if udf is a multi-command

* Refactor to use wrap_cmd_with_local_envvars() helper fn

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

* Fix bug

* Fix

* Fix

* upd

* Merge some code

* lint

* Create EEG-GCNN example.

* Update README.md

* Remove gitignore file.

* Update README.md

* change 'datas' to 'datasets'.

* Change train.py to main.py

* Added an entry in the indexing page.

* State "simplified version"; change how to run.

* Fix bug in contact

* Remove paper link in reference.

* Create working branch

* Add normalization of x.

* Update paper link and tags

* Update paper link in readme

* Update readme; add patient level indices

* Update readme. Add comments to models

* Update README.md

* change to with; specify location for ch and el; move note

* fix bug for note

* Add args for models; clean code.

* delete = in readme

* Add reference for spec_coh_values

* Fix bug

* Fix

* Fix

* upd

* trigger

* Only link tensordispatcher against pytorch

* Only modify libraries when not using MSVC

* Fix dist negative data loader bug

* upd

* Fix
Co-authored-by: Da Zheng <zhengda1936@gmail.com>