* adding LABOR sampling
* add ladies and pladies samplers
* fix compile error after rebase
* add reference for ladies sampler
* Improve ladies implementation.
* weighted labor sampling initial implementation draft
fix indentation and small bug in ladies script
* importance_sampling currently doesn't work with weights
* fix weighted importance sampling
* move labor example into its own folder
* lint fixes
* Improve documentation
* remove examples from the main PR
* fix linting by not using c++17 features
* fix documentation of labor_sampler.py
* update documentation for labor.py
* reformat the labor.py file with black
* fix linting errors
* replace exception use with if
* fix typo in error comment
* fixing win64 build for ci
* fixing weighted implementation, works now.
* fix bug in the weighted case and importance_sampling==0
* address part of the reviews
* remove unused code paths from cuda
* remove unused code path from cpu side
* remove extra features of labor making use of random seed.
* fix exclude_edges bug
* remove pcg and seed logic from cpu implementation, seed logic should still work for cuda.
* minor style change
* refactor CPU implementation, take out the importance_sampling probability computation into a function.
* improve CUDAWorkspaceAllocator
* refactor importance_sampling part out to a function
* minor optimization
* fix linting issue
* Revert "remove pcg and seed logic from cpu implementation, seed logic should still work for cuda."
This reverts commit c250e07ac6d7e13f57e79e8a2c2f098d777378c2.
* Revert "remove extra features of labor making use of random seed."
This reverts commit 7f99034353080308f4783f27d9a08bea343fb796.
* fix the documentation
* disable NIDs
* improve the documentation in the code
* use the stream argument in pcg32 instead of skipping ahead t times, can discard the use of hashmap now since it is faster this way.
* fix linting issue
* address another round of reviews
* further optimize CPU LABOR sampling implementation
* fix linting error
* update the comment
* reformat
* rename and rephrase comment
* fix formatting according to new linting specs
* fix compile error due to renaming, fix linting.
* lint
* rename DGLHeteroGraph to DGLGraph to match master
* replace other occurrences of DGLHeteroGraph to DGLGraph
Co-authored-by: Muhammed Fatih BALIN <m.f.balin@gmail.com>
Co-authored-by: Kaan Sancak <kaansnck@gmail.com>
Co-authored-by: Quan Gan <coin2028@hotmail.com>
* 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
* Use an internal cuda stream for CopyDataFromTo
* small fix white space
* Fix to compile
* Make stream optional in copydata for compile
* fix lint issue
* Update cub functions to use internal stream
* Lint check
* Update CopyTo/CopyFrom/CopyFromTo to use internal stream
* Address comments
* Fix backward CUDA stream
* Avoid overloading CopyFromTo()
* Minor comment update
* Overload copydatafromto in cuda device api
Co-authored-by: xiny <xiny@nvidia.com>
* Fix a cub compile error for CUDA 11.5
* Fix comparison of integer expressions of different signedness in coo_sort.cu file
* Fix comparison of integer expressions of different signedness in cuda_compact_graph.cu file
* Remove never referenced variable in spmm.cu
* Fix comparison of integer expressions of different signedness in rowwise_pick.h file
* Fix comparison of integer expressions of different signedness in choice.cc file
* Remove never referenced variable col_data in spat_op_impl_coo.cc
* Remove never referenced variable allowed in global_uniform.cc
* Fix comparison of integer expressions of different signedness in graph.cc
* Fix comparison of integer expressions of different signedness in graph_apis.cc
* Fix the un-used ctx variable in ndarray_partition.cc file for cpu only build
* Fix comparison of integer expressions of different signedness in libra_partition.cc
* Fix comparison of integer expressions of different signedness in graph_op.cc
Co-authored-by: Triston Cao <tristonc@nvidia.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
* Wrap all CUDA runtime API/CUB calls with macro
* remove the usage of explicit cudaMalloc in favor of AllocWorkspace
* fix typo
Co-authored-by: Israt Nisa <neesha295@gmail.com>
* [Dist] Enable maximum try times for socket backend via DGL_DIST_MAX_TRY_TIMES
* reset env before/after test
* print log for info when trying to connect
* fix
* print log in python instead of cpp
* enable uva for pinsage sampler
* unit test
* modify some checks on the python side
* remove legacy random walk code
* update unit test
* update unit test
* fix unit test
* adjust checks
* move some checks to c++
* move max_nodes check to cuda kernel
* fix ci for tf
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.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>
* 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>
* Feat: support API "randomwalk_topk" in library
* Feat: use the new API "randomwalk_topk" for PinSAGESampler
* Minor
* Minor
* Refactor: modified codes as checker required
* Minor
* Minor
* Minor
* Minor
* Fix: checking errors in RandomWalkTopk
* Refactor: modified the docstring for randomwalk_topk
* change randomwalk_topk to internal
* fix
* rename
* Minor for pinsage.py
* Feat: support randomwalk and SelectPinSageNeighbors on GPU
Port RandomWalk algorithm on GPU,
and port SelectPinSageNeighbors on GPU.
* Feat: support GPU on python APIs
* Feat: remove perf print information in FrequenchHashmap
* Fix: modified the code format
Modified the code format as task_lint.sh suggested
* Feat: let test script support PinSAGESampler on GPU
Let test script support PinSAGESampler on GPU,
minor of "restart_prob".
* Minor
* Minor
* Minor
* Refactor: use the atomic operations from the array module
* Minor: change the long lines
* Refactor: modified the get_node_types for gpu
* Feat: update the contributor date
* Perf: remove unnecessary stream sync
* Feat: support other random walk
But the non-uniform choice is still not supported.
* Fix: add CUDA switch for random walk
Co-authored-by: Quan Gan <coin2028@hotmail.com>
* Feat: support API "randomwalk_topk" in library
* Feat: use the new API "randomwalk_topk" for PinSAGESampler
* Minor
* Minor
* Refactor: modified codes as checker required
* Minor
* Minor
* Minor
* Minor
* Fix: checking errors in RandomWalkTopk
* Refactor: modified the docstring for randomwalk_topk
* change randomwalk_topk to internal
* fix
* rename
* Minor for pinsage.py
Co-authored-by: Quan Gan <coin2028@hotmail.com>
* relabel gpu
* unittest for ralebl_ on the GPU
* finish Relabel_ for the GPU
* copyright
* re-enable the unittest for edge_subgrah on the GPU
* fix unittest for tensorflow
* use a fixed number of threads
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
* gpu compact graph template
* cuda compact graph draft
* fix typo
* compact graphs
* pass unit test but fail in training
* example using EdgeDataLoader on the GPU
* refactor cuda_compact_graph and cuda_to_block
* update training scripts
* fix linting
* fix linting
* fix exclude_edges for the GPU
* add --data-cpu & fix copyright
* [Feature] enable create/set/free cuda stream for internal use
* add unit test
* fix unit test failure on mxnet and tf
* refactor stream wrapper
* fix lint error
* fix lint error
Muhammed Fatih BALIN