* add
* remove
* fix
* rework the readme and some changes
* add png
* update png
* add recipe get
* sort recipe list and remove copy
* fix
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
* add
* remove
* fix
* rework the readme and some changes
* add png
* update png
* add recipe get
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
* huuuuge update
* remove
* lint
* lint
* fix
* what happened to nccl
* update multi-gpu unsupervised graphsage example
* replace most of the dgl.mp.process with torch.mp.spawn
* update if condition for use_uva case
* update user guide
* address comments
* incorporating suggestions from @jermainewang
* oops
* fix tutorial to pass CI
* oops
* fix again
Co-authored-by: Xin Yao <xiny@nvidia.com>
* [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
* 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
* Based on issue #3436. Improving _SegmentCopyKernel s GPU utilization by switching to nonzero based thread assignment
* fixing lint issues
* Update cub for cuda 11.5 compatibility (#3468)
* fixing type mismatch
* tx guaranteed to be smaller than nnz. Hence removing last check
* minor: updating comment
* adding three unit tests for csr slice method to cover some corner cases
* timing repeatkernel
* clean
* clean
* clean
* updating _SegmentMaskColKernel
* Working on requests: removing sorted array check and adding comments to utility functions
* fixing lint issue
Co-authored-by: Abdurrahman Yasar <ayasar@nvidia.com>
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
* [Feature] support non-numeric node_id/src_id/dst_id/graph_id and rename CSVDataset
* change return value when iterate dataset
* refine data_parser
* force reload
* 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: Israt Nisa <nisisrat@amazon.com>
* Add RNAGlib to examples and DGL-powered-projects
* Add RNAGlib to examples and DGL-powered-projects
* Add RNAGlib to examples and DGL-powered-projects
Quan Gan