1. 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
  2. 02 May, 2020 2 commits
  3. 01 May, 2020 1 commit
  4. 29 Apr, 2020 2 commits
  5. 28 Apr, 2020 2 commits
  6. 27 Apr, 2020 3 commits
  7. 26 Apr, 2020 2 commits
  8. 24 Apr, 2020 1 commit
  9. 23 Apr, 2020 2 commits
  10. 20 Apr, 2020 1 commit
  11. 17 Apr, 2020 1 commit
    • Chao Ma's avatar
      [KVstore] Change sizeof(float) to dtype.bits / 8 (#1452) · 1abe87f5
      Chao Ma authored
      * update
      
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      * fix lint
      
      * update
      
      * update
      1abe87f5
  12. 16 Apr, 2020 1 commit
    • Chao Ma's avatar
      [KVstore] Fast-pull (#1446) · 338f24cf
      Chao Ma authored
      * update
      
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      * fix lint
      338f24cf
  13. 15 Apr, 2020 1 commit
  14. 14 Apr, 2020 1 commit
    • jjhu94's avatar
      [DGL-LifeSci] Weave for Molecular Property Prediction (#1441) · 011656fd
      jjhu94 authored
      
      
      * featurize for weave model
      
      * weave module for molecular graphs
      
      * Update
      
      * completed weave model
      
      * update the whole weave model
      
      * Update
      
      * update atom (node) features
      
      '
      
      * "featurizer"
      
      * Add files via upload
      
      add edge featurizer
      
      * Add files via upload
      
      * Update
      
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      Co-authored-by: default avatarmufeili <mufeili1996@gmail.com>
      011656fd
  15. 13 Apr, 2020 1 commit
  16. 09 Apr, 2020 5 commits
  17. 08 Apr, 2020 1 commit
  18. 06 Apr, 2020 2 commits
  19. 05 Apr, 2020 1 commit
  20. 03 Apr, 2020 2 commits
  21. 02 Apr, 2020 4 commits
  22. 01 Apr, 2020 2 commits
  23. 30 Mar, 2020 1 commit