1. 20 Dec, 2022 1 commit
  2. 15 Dec, 2022 1 commit
  3. 12 Dec, 2022 2 commits
  4. 09 Dec, 2022 1 commit
  5. 07 Dec, 2022 2 commits
  6. 05 Dec, 2022 2 commits
  7. 01 Dec, 2022 1 commit
  8. 29 Nov, 2022 1 commit
  9. 28 Nov, 2022 1 commit
  10. 27 Nov, 2022 1 commit
  11. 20 Nov, 2022 1 commit
  12. 17 Nov, 2022 1 commit
  13. 16 Nov, 2022 1 commit
  14. 14 Nov, 2022 1 commit
  15. 07 Nov, 2022 1 commit
    • czkkkkkk's avatar
      [Sparse] Add sparse matrix C++ implementation (#4773) · 7c059e86
      czkkkkkk authored
      * [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
      7c059e86
  16. 04 Nov, 2022 1 commit
  17. 02 Nov, 2022 1 commit
    • ZhenyuLU_Heliodore's avatar
      [NN] Add DegreeEncoder for graph transformer (#4742) · 9d9280cb
      ZhenyuLU_Heliodore authored
      
      
      * Add files via upload
      
      This file will contain several utility modules for Graph Transformer. DegreeEncoder has been implemented in this file now.
      
      * Update graph_transformer.py
      
      * Update nn-pytorch.rst
      
      Add graph_transformer.DegreeEncoder in Utility Modules
      
      * Update test_nn.py
      
      * Update __init__.py
      
      * Update graph_transformer.py
      
      * Update test_nn.py
      
      * Update graph_transformer.py
      
      fix unused import
      
      * Update graph_transformer.py
      
      add module doc-string
      
      * Update graph_transformer.py
      
      * Update graph_transformer.py
      Co-authored-by: default avatarrudongyu <ru_dongyu@outlook.com>
      9d9280cb
  18. 31 Oct, 2022 1 commit
  19. 29 Oct, 2022 1 commit
    • Quan (Andy) Gan's avatar
      [Sampling] Enable sampling with edge masks in sample_etype_neighbors (#4749) · 2bca4759
      Quan (Andy) Gan authored
      * sample neighbors with masks
      
      * oops
      
      * refactor again
      
      * remove
      
      * remove debug code
      
      * rename macro
      
      * address comments
      
      * more stuff
      
      * remove
      
      * fix
      
      * try fix unit test
      
      * oops
      
      * fix test
      
      * oops
      
      * change name
      
      * rename a lot of stuff
      
      * oops
      
      * ugh
      
      * misc fixes
      
      * lint
      
      * address a lot of comments
      
      * lint
      
      * lint
      
      * fix
      
      * that was silly
      
      * fix
      
      * fix
      
      * fix
      
      * oops
      2bca4759
  20. 27 Oct, 2022 1 commit
  21. 12 Oct, 2022 1 commit
  22. 10 Oct, 2022 1 commit
  23. 30 Sep, 2022 1 commit
  24. 29 Sep, 2022 2 commits
  25. 28 Sep, 2022 1 commit
  26. 27 Sep, 2022 2 commits
  27. 26 Sep, 2022 1 commit
    • czkkkkkk's avatar
      [Sparse] Add reduction operators (#4600) · 544a2cd1
      czkkkkkk authored
      * [Sparse] Add reduction operators
      
      * Fix linting problem
      
      * Fix linting problem
      
      * Fix linting problem
      
      * Fix docstring
      
      * Fix test cases
      
      * Fix linting problem
      
      * Skip reduction unittests
      544a2cd1
  28. 24 Sep, 2022 1 commit
  29. 23 Sep, 2022 1 commit
  30. 20 Sep, 2022 2 commits
  31. 15 Sep, 2022 1 commit
    • Xin Yao's avatar
      [Feature] Import PyTorch's CUDA stream management (#4503) · 9a00cf19
      Xin Yao authored
      * add set_stream
      
      * add .record_stream for NDArray and HeteroGraph
      
      * refactor dgl stream Python APIs
      
      * test record_stream
      
      * add unit test for record stream
      
      * use pytorch's stream
      
      * fix lint
      
      * fix cpu build
      
      * address comments
      
      * address comments
      
      * add record stream tests for dgl.graph
      
      * record frames and update dataloder
      
      * add docstring
      
      * update frame
      
      * add backend check for record_stream
      
      * remove CUDAThreadEntry::stream
      
      * record stream for newly created formats
      
      * fix bug
      
      * fix cpp test
      
      * fix None c_void_p to c_handle
      9a00cf19
  32. 14 Sep, 2022 1 commit
  33. 07 Sep, 2022 1 commit
    • ndickson-nvidia's avatar
      [Feature] Added exclude_self and output_batch to knn graph construction... · 684f66b7
      ndickson-nvidia authored
      
      [Feature] Added exclude_self and output_batch to knn graph construction (Issues #4323 #4316) (#4389)
      
      * * Added "exclude_self" and "output_batch" options to knn_graph and segmented_knn_graph
      * Updated out-of-date comments on remove_edges and remove_self_loop, since they now preserve batch information
      
      * * Changed defaults on new knn_graph and segmented_knn_graph function parameters, for compatibility; pytorch/test_geometry.py was failing
      
      * * Added test to ensure dgl.remove_self_loop function correctly updates batch information
      
      * * Added new knn_graph and segmented_knn_graph parameters to dgl.nn.KNNGraph and dgl.nn.SegmentedKNNGraph
      
      * * Formatting
      
      * * Oops, I missed the one in segmented_knn_graph when I fixed the similar thing in knn_graph
      
      * * Fixed edge case handling when invalid k specified, since it still needs to be handled consistently for tests to pass
      * Fixed context of batch info, since it must match the context of the input position data for remove_self_loop to succeed
      
      * * Fixed batch info resulting from knn_graph when output_batch is true, for case of 3D input tensor, representing multiple segments
      
      * * Added testing of new exclude_self and output_batch parameters on knn_graph and segmented_knn_graph, and their wrappers, KNNGraph and SegmentedKNNGraph, into the test_knn_cuda test
      
      * * Added doc comments for new parameters
      
      * * Added correct handling for uncommon case of k or more coincident points when excluding self edges in knn_graph and segmented_knn_graph
      * Added test cases for more than k coincident points
      
      * * Updated doc comments for output_batch parameters for clarity
      
      * * Linter formatting fixes
      
      * * Extracted out common function for test_knn_cpu and test_knn_cuda, to add the new test cases to test_knn_cpu
      
      * * Rewording in doc comments
      
      * * Removed output_batch parameter from knn_graph and segmented_knn_graph, in favour of always setting the batch information, except in knn_graph if x is a 2D tensor
      Co-authored-by: default avatarMinjie Wang <wmjlyjemaine@gmail.com>
      684f66b7
  34. 15 Aug, 2022 1 commit