1. 27 Aug, 2020 1 commit
  2. 13 Aug, 2020 1 commit
  3. 12 Aug, 2020 2 commits
  4. 11 Aug, 2020 2 commits
  5. 10 Aug, 2020 1 commit
  6. 09 Aug, 2020 1 commit
  7. 08 Aug, 2020 1 commit
  8. 31 Jul, 2020 1 commit
  9. 27 Jul, 2020 1 commit
  10. 17 Jul, 2020 1 commit
  11. 16 Jul, 2020 1 commit
    • Chao Ma's avatar
      [Distributed] Distributed launching script (#1772) · ca9d3216
      Chao Ma authored
      
      
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      * fix launch script.
      Co-authored-by: default avatarDa Zheng <zhengda1936@gmail.com>
      ca9d3216
  12. 03 May, 2020 1 commit
    • Da Zheng's avatar
      [Feature] Distributed graph store (#1383) · 2190c39d
      Da Zheng authored
      * initial version from distributed training.
      
      This is copied from multiprocessing training.
      
      * modify for distributed training.
      
      * it's runnable now.
      
      * measure time in neighbor sampling.
      
      * simplify neighbor sampling.
      
      * fix a bug in distributed neighbor sampling.
      
      * allow single-machine training.
      
      * fix a bug.
      
      * fix a bug.
      
      * fix openmp.
      
      * make some improvement.
      
      * fix.
      
      * add prepare in the sampler.
      
      * prepare nodeflow async.
      
      * fix a bug.
      
      * get id.
      
      * simplify the code.
      
      * improve.
      
      * fix partition.py
      
      * fix the example.
      
      * add more features.
      
      * fix the example.
      
      * allow one partition
      
      * use distributed kvstore.
      
      * do g2l map manually.
      
      * fix commandline.
      
      * a temp script to save reddit.
      
      * fix pull_handler.
      
      * add pytorch version.
      
      * estimate the time for copying data.
      
      * delete unused code.
      
      * fix a bug.
      
      * print id.
      
      * fix a bug
      
      * fix a bug
      
      * fix a bug.
      
      * remove redundent code.
      
      * revert modify in sampler.
      
      * fix temp script.
      
      * remove pytorch version.
      
      * fix.
      
      * distributed training with pytorch.
      
      * add distributed graph store.
      
      * fix.
      
      * add metis_partition_assignment.
      
      * fix a few bugs in distributed graph store.
      
      * fix test.
      
      * fix bugs in distributed graph store.
      
      * fix tests.
      
      * remove code of defining DistGraphStore.
      
      * fix partition.
      
      * fix example.
      
      * update run.sh.
      
      * only read necessary node data.
      
      * batching data fetch of multiple NodeFlows.
      
      * simplify gcn.
      
      * remove unnecessary code.
      
      * use the new copy_from_kvstore.
      
      * update training script.
      
      * print time in graphsage.
      
      * make distributed training runnable.
      
      * use val_nid.
      
      * fix train_sampling.
      
      * add distributed training.
      
      * add run.sh
      
      * add more timing.
      
      * fix a bug.
      
      * save graph metadata when partition.
      
      * create ndata and edata in distributed graph store.
      
      * add timing in minibatch training of GraphSage.
      
      * use pytorch distributed.
      
      * add checks.
      
      * fix a bug in global vs. local ids.
      
      * remove fast pull
      
      * fix a compile error.
      
      * update and add new APIs.
      
      * implement more methods in DistGraphStore.
      
      * update more APIs.
      
      * rename it to DistGraph.
      
      * rename to DistTensor
      
      * remove some unnecessary API.
      
      * remove unnecessary files.
      
      * revert changes in sampler.
      
      * Revert "simplify gcn."
      
      This reverts commit 0ed3a34ca714203a5b45240af71555d4227ce452.
      
      * Revert "simplify neighbor sampling."
      
      This reverts commit 551c72d20f05a029360ba97f312c7a7a578aacec.
      
      * Revert "measure time in neighbor sampling."
      
      This reverts commit 63ae80c7b402bb626e24acbbc8fdfe9fffd0bc64.
      
      * Revert "add timing in minibatch training of GraphSage."
      
      This reverts commit e59dc8957a414c7df5c316f51d78bce822bdef5e.
      
      * Revert "fix train_sampling."
      
      This reverts commit ea6aea9a4aabb8ba0ff63070aa51e7ca81536ad9.
      
      * fix lint.
      
      * add comments and small update.
      
      * add more comments.
      
      * add more unit tests and fix bugs.
      
      * check the existence of shared-mem graph index.
      
      * use new partitioned graph storage.
      
      * fix bugs.
      
      * print error in fast pull.
      
      * fix lint
      
      * fix a compile error.
      
      * save absolute path after partitioning.
      
      * small fixes in the example
      
      * Revert "[kvstore] support any data type for init_data() (#1465)"
      
      This reverts commit 87b6997b
      
      .
      
      * fix a bug.
      
      * disable evaluation.
      
      * Revert "Revert "[kvstore] support any data type for init_data() (#1465)""
      
      This reverts commit f5b8039c6326eb73bad8287db3d30d93175e5bee.
      
      * support set and init data.
      
      * support set and init data.
      
      * Revert "Revert "[kvstore] support any data type for init_data() (#1465)""
      
      This reverts commit f5b8039c6326eb73bad8287db3d30d93175e5bee.
      
      * fix bugs.
      
      * fix unit test.
      
      * move to dgl.distributed.
      
      * fix lint.
      
      * fix lint.
      
      * remove local_nids.
      
      * fix lint.
      
      * fix test.
      
      * remove train_dist.
      
      * revert train_sampling.
      
      * rename funcs.
      
      * address comments.
      
      * address comments.
      
      Use NodeDataView/EdgeDataView to keep track of data.
      
      * address comments.
      
      * address comments.
      
      * revert.
      
      * save data with DGL serializer.
      
      * use the right way of getting shape.
      
      * fix lint.
      
      * address comments.
      
      * address comments.
      
      * fix an error in mxnet.
      
      * address comments.
      
      * add edge_map.
      
      * add more test and fix bugs.
      Co-authored-by: default avatarZheng <dzzhen@186590dc80ff.ant.amazon.com>
      Co-authored-by: default avatarUbuntu <ubuntu@ip-172-31-6-131.us-east-2.compute.internal>
      Co-authored-by: default avatarUbuntu <ubuntu@ip-172-31-26-167.us-east-2.compute.internal>
      Co-authored-by: default avatarUbuntu <ubuntu@ip-172-31-16-150.us-west-2.compute.internal>
      Co-authored-by: default avatarUbuntu <ubuntu@ip-172-31-16-250.us-west-2.compute.internal>
      Co-authored-by: default avatarUbuntu <ubuntu@ip-172-31-30-135.us-west-2.compute.internal>
      2190c39d
  13. 08 Mar, 2020 1 commit
    • Da Zheng's avatar
      [Feature] add metis partitioning to DGL (#1308) · 0e153c4b
      Da Zheng authored
      
      
      * add metis.
      
      * add test.
      
      * construct partition id.
      
      * link to METIS github repo.
      
      * update metis.
      
      * add a tool for partitioning a graph.
      
      * update metis.
      
      * update.
      
      * update.
      
      * fix metis.
      
      * fix lint
      
      * fix indent.
      
      * another way of building metis.
      
      * disable metis in windows.
      
      * test windows
      
      * fix.
      
      * disable metis for windows properly.
      
      * fix for tensorflow.
      
      * skip test for gpu.
      
      * make graph symmetric
      
      * address comments.
      
      * more comments.
      
      * fix compile
      
      * fix a bug.
      
      * add test.
      
      * change the default #hops of HALO nodes.
      Co-authored-by: default avatarUbuntu <ubuntu@ip-172-31-26-167.us-east-2.compute.internal>
      0e153c4b