GitLab

* 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>

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* fix launch script.
Co-authored-by: Da Zheng <zhengda1936@gmail.com>

* 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

* 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>