GitLab

* 111

* 111

* fix

* 111

* fix

* 11

* fix

* lint

* Update __init__.py

* lint

* fix

* lint

* fix

* fix

* fix

* fix

* fix

* try fix

* try fix

* fix

* Revert "fix"

This reverts commit a0b954fd4e99b7df92b53db8334dcb583d6e1551.

* fixes.

* fix.

* fix test.

* fix exit.

* fix.

* fix

* fix

* lint

* lint

* lint

* fix

* Update .gitignore

* 111

* fix

* 111

* 111

* fff

* 1111

* 111

* 1325315

* ffff

* f???

* fff

* 1111

* 111

* fix

* 111

* asda

* 1111

* 11

* 123

* 啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊啊

* spawn

* 1231231

* up

* 111

* fix

* fix

* Revert "fix"

This reverts commit 7373f95312fdcaa36d2fc330bf242339e89c045d.

* fix

* fix

* 1111

* fix

* fix tests

* start kvclient as early as possible.

* lint

* fix test

* lint

* 1111

* fix

* fix

* 111

* fix

* fix

* 1

* fix

* fix

* lint

* fix

* lint

* lint

* remove quit

* fix

* lint

* fix

* fix several

* lint

* fix minor

* fix

* lint
Co-authored-by: Da Zheng <zhengda1936@gmail.com>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* fix bugs.

* eval on both vaidation and testing.

* add script.

* update.

* update launch.

* make train_dist.py independent.

* update readme.

* update readme.

* update readme.

* update readme.

* generate undirected graph.

* rename conf_file to part_config

* use rsync

* make train_dist independent.
Co-authored-by: Ubuntu <ubuntu@ip-172-31-19-1.us-west-2.compute.internal>
Co-authored-by: Ubuntu <ubuntu@ip-172-31-19-115.us-west-2.compute.internal>
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* add eval.

* extend DistTensor.

* fix.

* add barrier.

* add more print.

* add more checks in kvstore.

* fix lint.

* get all neighbors for eval.

* reorganize.

* fix.

* fix.

* fix.

* fix test.

* add reuse_if_exist.

* add test for reuse_if_exist.

* fix lint.

* fix bugs.

* fix.

* print errors of tcp socket.

* support delete tensors.

* fix lint.

* fix

* fix example
Co-authored-by: Ubuntu <ubuntu@ip-172-31-19-1.us-west-2.compute.internal>

* exit client

* update

* update

* update

* update

* update

* update

* update

* update test

* update

* update

* update

* update

* update

* update

* update

* update

* update

* add standalone mode

* add comments.

* add tests for sampling.

* fix.

* make the code to run the standalone mode

* fix

* fix

* fix readme.

* fix.

* fix test
Co-authored-by: Chao Ma <mctt90@gmail.com>

* run dist server in dgl.

* fix bugs.

* fix example.

* check environment variables and fix lint.

* fix lint

* neighbor sampler data loader first commit

* more commit

* nodedataloader

* fix

* update RGCN example

* update OGB

* fixes

* fix minibatch RGCN crashing with self loop

* reverting gatconv test code

* fix

* change to new solution that doesn't require tf dataloader

* fix

* lint

* fix

* fixes

* change doc

* fix docstring

* docstring fixes

* return seeds and input nodes from data loader

* fixes

* fix test

* fix windows build problem

* add pytorch wrapper

* fixes

* add pytorch wrapper

* add unit test

* add -1 support to sample_neighbors & fix docstrings

* docstring fix

* lint

* add minibatch rgcn evaluations
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
Co-authored-by: Tong He <hetong007@gmail.com>

* fix.

* fix tests.

* fix

* add tests.

* fix.

* have default rank.

* add comment.

* fix test.

* remove check

* simplify code.

* add test.

* split data evenly.

* simplify the distributed training code.

* add comments.

* add comments.

* add train_dist.

* Fix sampling example.

* use distributed sampler.

* fix a bug in DistTensor.

* fix distributed training example.

* add graph partition.

* add command

* disable pytorch parallel.

* shutdown correctly.

* load diff graphs.

* add ip_config.txt.

* record timing for each step.

* use ogb

* add profiler.

* fix a bug.

* add train_dist.

* Fix sampling example.

* use distributed sampler.

* fix a bug in DistTensor.

* fix distributed training example.

* add graph partition.

* add command

* disable pytorch parallel.

* shutdown correctly.

* load diff graphs.

* add ip_config.txt.

* record timing for each step.

* use ogb

* add profiler.

* add Ips of the cluster.

* fix exit.

* support multiple clients.

* balance node types and edges.

* move code.

* remove run.sh

* Revert "support multiple clients."

* fix.

* update train_sampling.

* fix.

* fix

* remove run.sh

* update readme.

* update readme.

* use pytorch distributed.

* ensure all trainers run the same number of steps.

* Update README.md
Co-authored-by: Ubuntu <ubuntu@ip-172-31-16-250.us-west-2.compute.internal>