GitLab

* first commit

* a bunch of fixes

* add unique

* lint

* lint

* lint

* address comments

* Update negative_sampler.py

* fix

* description

* address comments and fix

* fix

* replace unique with replace

* test pylint

* Update negative_sampler.py

* support shared memory on windows

* Update shared_mem.cc

* add unittest for binary ops

* Changed loss func
Co-authored-by: Israt Nisa <nisisrat@amazon.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* edge_softmax_hetero forwar+cpu+norm=dst

* convert eids to list

* addedunittest

* added unittest

* added backward. Not tested correctness

* minor

* changed reducer to max from sum

* bugfix

* docstring

* add GPU unittest

* output converted to dict from tuple

* lint check
Co-authored-by: Israt Nisa <nisisrat@amazon.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* fixed bug

* added  in test cases

* unittest resolved

* bugfix
Co-authored-by: Israt Nisa <nisisrat@amazon.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

[Feature] Add CUDA support for `min` and `max` reducer in heterogeneous API for unary message functions (#3566)

* CUDA support max/min reducer on forward pass

* docstring

* concised UpdateGradMinMax_hetero

* reorganized UpdateGradMinMax_hetero

* CUDA kernels for max/min reducer

* variable name

* lint check

* changed CUDA 2D thread mapping to 1D

* removed legacy cusparse for min/max reducer

* git CI issue

* restarting git CI

* adding namespace std
Co-authored-by: Israt Nisa <nisisrat@amazon.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.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>

* Update

* Update

* Update

* Update

* Update

* CI

* CI

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

* Fix a bug in TWIRLS, add unittest

* reformatting the code

* modify unittest for TWIRLS
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

* doesn't know whether works

* add change

* fix

* fix

* fix

* remove

* revert

* lint

* lint

* fix

* revert

* lint

* fix

* only build rpc on linux

* lint

* lint

* fix build on windows

* fix windows

* remove old test

* fix cmake

* Revert "remove old test"

This reverts commit f1ea75c777c34cdc1f08c0589676ba6aee1feb29.

* fix windows

* fix

* fix

* fix indent

* fix indent

* address comment

* fix

* fix

* fix

* fix

* fix

* lint

* fix indent

* fix lint

* add introduction

* fix

* lint

* lint

* add more logs

* fix

* update xbyak for C++14 with gcc5

* Remove channels

* fix

* add test script

* fix

* remove unused file

* fix lint

* add timeout

* first commit

* second commit

* spaghetti unit tests

* rewrite test

* min/max support for forward CPU heterograph

* Added etype with each argU values

* scatter_add needs fix

* added scatter_add_hetero. Grads dont match for max reducer

* storing ntype in argX

* fixing scatter_add_hetero

* hetero matches with torch's scatter add

* works copy_e forward+cpu

* added backward for copy_rhs

* Computes gradient for all node types in one kernel

* bug fix

* unnitest for max/min on CPU

* renamed scatter_add_hetero to update_grad_minmax_hetero

* lint check and comment out cuda call for max. Code is for CPU only

* lint check

* replace inf with zero

* minor

* lint check

* removed LIBXSMM code from hetro code

* fixing backward operator of UpdateGradMinMaxHetero

* removed backward from update_grad_minmax_hetero

* docstring

* improved docstring and coding style

* Added pass by pointer for output

* typos and pass by references

* Support for copy_rhs

* Added header <string>

* fix bug in copy_u_max

* Added comments and dimension check of all etypes

* skip mxnet check

* pass by pointer output arrays

* updated docstring
Co-authored-by: Israt Nisa <nisisrat@amazon.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Update

* Update

* Fix

* Update

* Update

* update

* Fix test

* CI

* CI

* add

* fix optional docing

* fix

* lint

* add normalized by edge weight

* add test

* fix

* lint

* fix docs

* fix

* fix docs

* Update

* Fix

* [Feature] enable async transfer in NodeDataLoader for homograph

* fix lint issues

* fix device choose when creating stream

* fix test on cpu only machine

* fix pin_memory config

* support homo only

* avoid creating stream in each step and sync via event

* fix lint

* enable graph copy on non-default stream

* fix lint

* refine arg description

* fix conflicts

* first commit

* next commit

* third commit

* add ShaDow-GNN sampler and unit tests

* fixes

* lint

* cr*p

* lint

* fix lint

* fixes and more unit tests

* more tests

* fix docs

* lint

* fix

* fix

* fix

* fixes

* fix doc

* Update

* Update

* Update

* Fix

* Update

* Update

* Update

* Update

* Update

* Update

* Fix

* Fix

* Update

* Update

* Update

* Update

* Update

* Update

* lint fix

* lint fix

* Fix lint

* Update

* Fix CI

* Fix CI

* Fix

* CI

* Fix

* Update

* Fix

* Fix

* Fix CI

* Fix CI

* [BugFix] fix in/out degree computation

* add unit tests

* Based on issue #3436. Improving _SegmentCopyKernel s GPU utilization by switching to nonzero based thread assignment

* fixing lint issues

* Update cub for cuda 11.5 compatibility (#3468)

* fixing type mismatch

* tx guaranteed to be smaller than nnz. Hence removing last check

* minor: updating comment

* adding three unit tests for csr slice method to cover some corner cases
Co-authored-by: Abdurrahman Yasar <ayasar@nvidia.com>
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>

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

* enable unit tests for dataloader on the GPU

* fix compatibility

* copyright

* fix linting
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>

* relabel gpu

* unittest for ralebl_ on the GPU

* finish Relabel_ for the GPU

* copyright

* re-enable the unittest for edge_subgrah on the GPU

* fix unittest for tensorflow

* use a fixed number of threads
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Update

* Fix

* Fix

* Update

* Update

* Update

* Fix CI

* Fix

* Fix

* Fix

* Update

* Update

* Update

* Fix

* Fix

* Fix for TF

* [Model][Core] GATv2

* lint

* gatv2conv.py

* lint

* lint

* style and docs

* lint

* gatv2conv fix
Co-authored-by: Shaked Brody shakedbr@campus.technion.ac.il <shakedbr@tangerine.cslcs.technion.ac.il>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* added nn pytorch egatconv

* aligned with test build

* aligned with test build

* fixed wihite spaces

* fixed wihite spaces

* fixed wihite spaces

* added missing egatconv in imports

* added indentation in forward

* GATConv based implementation

* removed **kw_args

* added dgl relative imports

* PR corrections

* added DGL Error to EGATConv imports

* Update test_nn.py
Co-authored-by: Argusmocny <k.kaminski@cent.uw.edu.pl>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* gpu compact graph template

* cuda compact graph draft

* fix typo

* compact graphs

* pass unit test but fail in training

* example using EdgeDataLoader on the GPU

* refactor cuda_compact_graph and cuda_to_block

* update training scripts

* fix linting

* fix linting

* fix exclude_edges for the GPU

* add --data-cpu & fix copyright

* [Feature] enable create/set/free cuda stream for internal use

* add unit test

* fix unit test failure on mxnet and tf

* refactor stream wrapper

* fix lint error

* fix lint error

Co-authored-by: JingchengYu94 <jingchengyu94@gmail.com>

* graceful c++ exception in OpenMP

* credits

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

* [Feature] Exclude edges in sample_neighbors

Extending sample_neighbors and sample_frontier
API to support exclude_edges parameter.

exclude_edges support tensor and dict data
Feature enable excluding certain edges
during neighborhood sampling
Exclude_edges contains EID's of edges
which will be excluded
during neighbor picking for seed nodes.

Added test case for heterograph and homograph
RFC issue id: 2944

* compatibility

* fix

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

[Performance][Feature] Add `src_nodes` paramter to `to_block()` to avoid cost running unique() when available. (#2973)

* Add lhs_nodes are paremeter to to_block

* Update unit test

* Switch to simplified node conversion

* Switch lhs_nodes to be in/out parameter

* Update docs
Co-authored-by: Da Zheng <zhengda1936@gmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* [Performance] improve coo2csr space complexity when row is not sorted

* [Perf] replace std::vector<> by NDArray

* keep both impl of unsorted coo to csr and choose according to graph density dynamically

* refine criteria to choose btw Unsorted algos
Co-authored-by: Ubuntu <ubuntu@ip-172-31-34-27.us-west-2.compute.internal>

* fix start_idx

* fix the bug when cuda > 0
Co-authored-by: Tong He <hetong007@gmail.com>