GitLab

* 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

* try optimize CI

* fix go test; adjust timing report

* disable certain tests for mx/tf backends

* fix ut

* add pydantic

Signed-off-by: Serge Panev <spanev@nvidia.com>
Co-authored-by: Rhett Ying <85214957+Rhett-Ying@users.noreply.github.com>

* [Dist] master port should be fixed for all trainers

* add tests for tools/launch.py

* [DistTest] add basic pipeline for dist test across machines

* move launch remote cmd to separate file

* add test for rpc

* fix function naming rule
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* Enable FP16 for GPU builds in CI

* Limit default GPU archs to pascal and above

* Disable FP16 dispatching for cuda architectures less than 60

* Fix linting

* Fix typos

Based on the pull request: https://github.com/dmlc/dgl/pull/3983

* Update

* Update

* Fix

* Update

* CI

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* [BugFix] fix job status in master CI

* finalize

* PR3355 + CSR conversion workaround

* Remove debug code

* Fix convention errors

* Remove wrongly added code section during merge

* Update to reflect dataloading changes

* Fix missing changes

* Remove comment

* Fix linter errors

* Fix trailing whitespace

* Add wrapper around worker init function
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

refactor CI report and log

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

* add ut

* add doc link

* install dep

* add

* Revert "install dep"

This reverts commit e574a8377144749056c6849b655004df2771e179.

* add

* merge fix

* rm files

* fix

* fix

* fix

* fix

* fix typo

* fix tf

* fix

* fix

* fix

* fix

* fix

* fix dependency

* fix test

* fix

* fix

* add doc

* fix

* fix

* fix test

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

* add ut

* add doc link

* install dep

* fix  ci

* fix ut; more comments

* remove deprecated attributes in rdf datasets; fix label feature name

* address comments

* fix ut for other frameworks

* [Fix] reduce error msg, refine fetch logic of available ports

* un-initialize client before sending shutdown request

* fix import error

* print connect failure log only in debug mode

* enable DMLC_LOG_DEBUG=1 in CI

* [Feature] add CSVDataset to load data from csv files

* add CSVDataset class file

* install pyyaml when running unit tests

* install pandas for unit tests

* utilize pydantic for YAML config check

* generate yaml and csv files during test

* make more keys as optional

* remove/rename several keys in yaml config and more tets though looks a bit clumsy

* fix test failure on mxnet

* pass /path/to/dataset instead of yaml path

* code refinement

* code refine

* change several yaml field such as feat and graph_id

* merge graph generation logic

* refine code

* Refactored_first_version

* DGLCSVDataset works for single heterograph

* add more tests

* fix test failure in mxnet

* add docstring

* use list comprehension for dict

* fix version in YAML

* refine data length assert

* use dict.pop directly

* remove ambiguous variable names

* refine graph id missing logic

* refine graph create call

* separate node/edge/graph data parser

* remove separator in DefaultDataParser

* refine validation error log for yaml field

* minor check

* refine code via dict.get()

* move load_from_csv into Node/Edge/GraphData

* move _parse_node/edge/graph_data into Node/Edge/GraphData

* refine id-related fields check

* check duplicate ntypes/etypes when load yaml

* refine docstring