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  1. 14 Jun, 2022 1 commit
  3. 12 Jun, 2022 1 commit
  5. 07 Jun, 2022 1 commit
  7. 02 Jun, 2022 2 commits
  9. 28 May, 2022 1 commit
  11. 25 May, 2022 1 commit
  13. 24 May, 2022 1 commit
  15. 23 May, 2022 1 commit
  17. 17 May, 2022 1 commit
    • ndickson-nvidia's avatar
      [Feature] Added floating-point conversion functions to dgl.transforms.functional (#3890) · e0e8736f
      ndickson-nvidia authored 
      

* * Added half_(), float_(), and double_() functions to DGLHeteroGraph, HeteroNodeDataView, and HeteroEdgeDataView, for converting floating-point tensor data to float16, float32, or float64 precision

* * Extracted out private functions for floating-point type conversion, to reduce code duplication

* * Added test for floating-point data conversion functions, half_(), float_(), and double_()

* * Moved half_(), float_(), and double_() functions from HeteroNodeDataView and HeteroEdgeDataView to Frame class

* * Updated test_float_cast() to use dgl.heterograph instead of dgl.graph

* Added to CONTRIBUTORS.md

* * Changed data type conversion to be deferred until the data is accessed, to avoid redundant conversions of data that isn't used.

* * Addressed issues flagged by linter

* * Worked around a bug in the old version of mxnet that's currently used for DGL testing

* * Only defer Column data type conversion if there is a pending device transfer or index sampling to be done.  This is expected to be the desired behaviour based on discussions of a few use cases, as described in the comments.

* * Moved floating-point feature data conversion functions to dgl.transforms.functional
* Changed them from in-place behaviour to shallow copy (out-of-place) behaviour

* * Fixed linter issues

* * Removed lines that unintentionally added to_half, to_float, and to_double to DGLHeteroGraph
* Moved _init_api line to the end of the file again

* * Removed one of the two leading underscores from Frame.__astype_float, making it not fully private
Co-authored-by: default avatarnv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>
      e0e8736f
  19. 16 May, 2022 3 commits
  21. 07 May, 2022 1 commit
  23. 23 Apr, 2022 1 commit
  25. 12 Apr, 2022 2 commits
  27. 11 Apr, 2022 1 commit
  29. 09 Apr, 2022 1 commit
  31. 31 Mar, 2022 1 commit
  33. 30 Mar, 2022 1 commit
  35. 24 Mar, 2022 1 commit
  37. 24 Feb, 2022 2 commits
  39. 23 Feb, 2022 2 commits
    • Rhett Ying's avatar
      [Dataset][Fix] Allow non-numeric values and some fix on doc (#3757) · 8db2dd33
      Rhett Ying authored 
      * [Fix] be able to parse ids if numeric and non-numeric values are used together

* add required package info and cache note into docstring

* duplicate node id is not allowed
      8db2dd33
    • Minjie Wang's avatar
      [NN] Rework RelGraphConv and HGTConv (#3742) · 0227ddfb
      Minjie Wang authored 
      * WIP: TypedLinear and new RelGraphConv

* wip

* further simplify RGCN

* a bunch of tweak for performance; add basic cpu support

* update on segmm

* wip: segment.cu

* new backward kernel works

* fix a bunch of bugs in kernel; leave idx_a for future

* add nn test for typed_linear

* rgcn nn test

* bugfix in corner case; update RGCN README

* doc

* fix cpp lint

* fix lint

* fix ut

* wip: hgtconv; presorted flag for rgcn

* hgt code and ut; WIP: some fix on reorder graph

* better typed linear init

* fix ut

* fix lint; add docstring
      0227ddfb
  41. 21 Feb, 2022 1 commit
    • Quan (Andy) Gan's avatar
      [Bugfix] Bug fixes in new dataloader (#3727) · 3f138eba
      Quan (Andy) Gan authored 
      

* fixes

* fix

* more fixes

* update

* oops

* lint?

* temporarily revert - will fix in another PR

* more fixes

* skipping mxnet test

* address comments

* fix DDP

* fix edge dataloader exclusion problems

* stupid bug

* fix

* use_uvm option

* fix

* fixes

* fixes

* fixes

* fixes

* add evaluation for cluster gcn and ddp

* stupid bug again

* fixes

* move sanity checks to only support DGLGraphs

* pytorch lightning compatibility fixes

* remove

* poke

* more fixes

* fix

* fix

* disable test

* docstrings

* why is it getting a memory leak?

* fix

* update

* updates and temporarily disable forkingpickler

* update

* fix?

* fix?

* oops

* oops

* fix

* lint

* huh

* uh

* update

* fix

* made it memory efficient

* refine exclude interface

* fix tutorial

* fix tutorial

* fix graph duplication in CPU dataloader workers

* lint

* lint

* Revert "lint"

This reverts commit 805484dd553695111b5fb37f2125214a6b7276e9.

* Revert "lint"

This reverts commit 0bce411b2b415c2ab770343949404498436dc8b2.

* Revert "fix graph duplication in CPU dataloader workers"

This reverts commit 9e3a8cf34c175d3093c773f6bb023b155f2bd27f.
Co-authored-by: default avatarxiny <xiny@nvidia.com>
Co-authored-by: default avatarJinjing Zhou <VoVAllen@users.noreply.github.com>
      3f138eba
  43. 18 Feb, 2022 2 commits
  45. 17 Feb, 2022 2 commits
  47. 15 Feb, 2022 2 commits
    • Mufei Li's avatar
      [Dataset] Add transform argument to built-in datasets (#3733) · 8b8fd2c0
      Mufei Li authored 
      * Update

* Fix

* Update
      8b8fd2c0
    • Israt Nisa's avatar
      [Feature] Gather mm (#3641) · b3d3a2c4
      Israt Nisa authored 
      

* init

* init

* working cublasGemm

* benchmark high-mem/low-mem, err gather_mm output

* cuda kernel for bmm like kernel

* removed cpu copy for E_per_Rel

* benchmark code from Minjie

* fixed cublas results in gathermm sorted

* use GPU shared mem in unsorted gather mm

* minor

* Added an optimal version of gather_mm_unsorted

* lint

* init gather_mm_scatter

* cublas transpose added

* fixed h_offset for multiple rel

* backward unittest

* cublas support to transpose W

* adding missed file

* forgot to add header file

* lint

* lint

* cleanup

* lint

* docstring

* lint

* added unittest

* lint

* lint

* unittest

* changed err type

* skip cpu test

* skip CPU code

* move in-len loop inside

* lint

* added check different dim length for B

* w_per_len is optional now

* moved gather_mm to pytorch/backend with backward support

* removed a_/b_trans support

* transpose op inside GEMM call

* removed out alloc from API, changed W 2D to 3D

* Added se_gather_mm, Separate API for sortedE

* Fixed gather_mm (unsorted) user interface

* unsorted gmm backward + separate CAPI for un/sorted A

* typecast to float to support atomicAdd

* lint typecast

* lint

* added gather_mm_scatter

* minor

* const

* design changes

* Added idx_a, idx_b support gmm_scatter

* dgl doc

* lint

* adding gather_mm in ops

* lint

* lint

* minor

* removed benchmark files

* minor

* empty commit
Co-authored-by: default avatarIsrat Nisa <nisisrat@amazon.com>
      b3d3a2c4
  49. 11 Feb, 2022 1 commit
  51. 10 Feb, 2022 1 commit
  53. 07 Feb, 2022 1 commit
  55. 30 Jan, 2022 2 commits
    • Quan (Andy) Gan's avatar
      [Sampling] New sampling pipeline plus asynchronous prefetching (#3665) · 701b4fcc
      Quan (Andy) Gan authored 
      * initial update

* more

* more

* multi-gpu example

* cluster gcn, finalize homogeneous

* more explanation

* fix

* bunch of fixes

* fix

* RGAT example and more fixes

* shadow-gnn sampler and some changes in unit test

* fix

* wth

* more fixes

* remove shadow+node/edge dataloader tests for possible ux changes

* lints

* add legacy dataloading import just in case

* fix

* update pylint for f-strings

* fix

* lint

* lint

* lint again

* cherry-picking commit fa9f494

* oops

* fix

* add sample_neighbors in dist_graph

* fix

* lint

* fix

* fix

* fix

* fix tutorial

* fix

* fix

* fix

* fix warning

* remove debug

* add get_foo_storage apis

* lint
      701b4fcc
    • Minjie Wang's avatar
      [Data] Utility function and class for converting a dataset for node prediction (#3695) · 5152a879
      Minjie Wang authored 
      * add ut

* add doc link

* install dep

* fix  ci

* fix ut; more comments

* remove deprecated attributes in rdf datasets; fix label feature name

* address comments

* fix ut for other frameworks
      5152a879
  57. 29 Jan, 2022 1 commit
  59. 25 Jan, 2022 1 commit