* 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
* implement pin_memory/unpin_memory/is_pinned for dgl.graph
* update python docstring
* update c++ docstring
* add test
* fix the broken UnifiedTensor
* XPU_SWITCH for kDLCPUPinned
* a rough version ready for testing
* eliminate extra context parameter for pin/unpin
* update train_sampling
* fix linting
* fix typo
* multi-gpu uva sampling case
* disable new format materialization for pinned graphs
* update python doc for pin_memory_
* fix unit test
* UVA sampling for link prediction
* dispatch most csr ops
* update graphsage example to combine uva sampling and UnifiedTensor
* update graphsage example to combine uva sampling and UnifiedTensor
* update graphsage example to combine uva sampling and UnifiedTensor
* update doc
* update examples
* change unitgraph and heterograph's PinMemory to in-place
* update examples for multi-gpu uva sampling
* update doc
* fix linting
* fix cpu build
* fix is_pinned for DistGraph
* fix is_pinned for DistGraph
* update graphsage unsupervised example
* update doc for gpu sampling
* update some check for sampling device switching
* fix linting
* adapt for new dataloader
* fix linting
* fix
* fix some name issue
* adjust device check
* add unit test for uva sampling & fix some zero_copy bug
* fix linting
* update num_threads in graphsage examples
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
* [Fix] sleep for a while when launching clients which will connect to multiple servers
* pre-allocate more ports
* no multiple partitions on single machine
* 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
* Fix ref to message-passing guide
* Fix pygments and spacing
* Update build documentation steps in README.md
* Use links
* Adjust parameters in SAGEConv docstring in same order as init
* Fix spelling error
* Change doc link
* implement pin_memory/unpin_memory/is_pinned for dgl.graph
* update python docstring
* update c++ docstring
* add test
* fix the broken UnifiedTensor
* eliminate extra context parameter for pin/unpin
* fix linting
* fix typo
* disable new format materialization for pinned graphs
* update python doc for pin_memory_
* fix unit test
* update doc
* change unitgraph and heterograph's PinMemory to in-place
* update comments for NDArray's PinMemory_ and PinData
* update doc
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Rhett Ying