GitLab

Co-authored-by: Xin Yao <xiny@nvidia.com>

* try optimize CI

* fix go test; adjust timing report

* disable certain tests for mx/tf backends

* fix ut

* add pydantic

Co-authored-by: Xin Yao <xiny@nvidia.com>

* * Workaround for graph data saving/loading compatibility problem in Column class.  There may be more places in DGL with the same issue, due to using Python serialization, instead of a more cohesive, comprehensive strategy.  This is just a local fix.

* Add checking for non-empty states

* Add unit test

* Handle the case of columns without storage
Co-authored-by: ndickson <ndickson@nvidia.com>
Co-authored-by: Xin Yao <xiny@nvidia.com>

* fix using alternative streams

* use a alternative stream for subgraph transferring

* fix StreamContext when stream is None

Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* Update nccl communicator for when NCCL is missing

* Use static_cast

* Add doc string

* Fix whitespace

* Resrtict unit test to GPU runs
Co-authored-by: Xin Yao <xiny@nvidia.com>

Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
Co-authored-by: Xin Yao <xiny@nvidia.com>

* [BugFix] fix build issue on mac OS

* refine

* Update

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* * Added missing specializations for `__half` of `DLDataTypeTraits`, `IndexSelect`, `Full`, `Scatter_`, `CSRGetData`, `CSRMM`, `CSRSum`, `IndexSelectCPUFromGPU`
* Fixed casting issue in `_LinearSearchKernel` that was preventing it from supporting `__half`
* Added `#if`'d out specializations of `CSRGEMM`, `CSRGEAM`, and `Xgeam`, which would require functions that aren't currently provided by cublas

* * Added more specific error messages for unimplemented FP16 specializations of Xgeam, CSRGEMM, and CSRGEAM

* * Added missing instantiation of DLDataTypeTraits<__half>::dtype

* * Fixed linter error
* Added clearer comment explaining why the cast to long long is necessary

* * Worked around a compile error in some particular setup, where __half can't be constructed on the host side

* * Fixed linter formatting errors

* * Changes to comments as recommended

* * Made recommended changes to logging errors in FP16 specializations
* Also changed the existing Xgeam function for unsupported data types from LOG(INFO) to LOG(FATAL)

* [BugFix] fix rpc-related build issue on mac OS

* add warning message

* add warning message

* [Dist] enable USE_EPOLL in default

* fix build issue on windows

* fix build issue on windows

* fix build issue on windows

* fix build issue on windows

* fix build issue on windows

* fix build issue

Co-authored-by: Xin Yao <xiny@nvidia.com>

* Add uva by default to embedding

* More updates

* Update optimizer

* Add new uva functions

* Expose new pinned memory function

* Add unit tests

* Update formatting

* Fix unit test

* Handle auto UVA case when training is on CPU

* Allow per-embedding decisions for whether to use UVA

* Address spares_optim.py comments

* Remove unused templates

* Update unit test

* Use dgl allocate memory for pinning

* allow automatically unpin

* workaround for d2h copy with a different dtype

* fix linting

* update error message

* update copyright
Co-authored-by: Xin Yao <xiny@nvidia.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

Co-authored-by: Mufei Li <mufeili1996@gmail.com>
Co-authored-by: Xin Yao <xiny@nvidia.com>

* Remove all torchtext legacy-related APIs

* Remove unused BagOfWordsPretrained class, and fix some typos
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* Explicitly unpin tensoradapter allocated arrays

* Undo unrelated change

* Add unit test

* update unit test

* add pinned_by_dgl flag to NDArray::Container

* use dgl.ndarray for holding the pinning status

* update multi-gpu uva inference

* reinterpret cast NDArray::Container* to DLTensor* in MoveAsDLTensor

* update unpin column and examples

* add unit test for unpin column
Co-authored-by: Dominique LaSalle <dlasalle@nvidia.com>
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.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>

* Update citation_graph.py

* Update

* Update

* Update
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* fix

* fix

* Update utils.py

* fix unstable sort

* add torch version check

* reformat

* split too long comments

* Update dataloader.py
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Update

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* [Dist] defer to load node/edge feats

* fix lint

* Update python/dgl/distributed/partition.py
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>

* Update python/dgl/distributed/partition.py
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>

* fix lint
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>

* Update README.md

* fix: ArangoDB hyperlink
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* add dist tutorial

* add predictor in dist prediction

* refine after rendering

* change links

* Update 2_link_prediction.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Rhett Ying <85214957+Rhett-Ying@users.noreply.github.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* [Dist] set socket as default backend for RPC

* add tests both for socket and tensorpipe

* * Added functions from dgl.transforms.functional that were missing from the list for documentation in dgl.rst

* * Sorted transform ops list in dgl.rst in alphabetical order
Co-authored-by: Xin Yao <xiny@nvidia.com>

Signed-off-by: Serge Panev <spanev@nvidia.com>
Co-authored-by: Rhett Ying <85214957+Rhett-Ying@users.noreply.github.com>

* Disable non-atomic atomic operations

* Improve error message

* Make error message more friendly

* Fix fail to create_shared_mem_array in ddp spawn train #4110

Fix fail to create_shared_mem_array in ddp spawn train #4110

* [Bugfix] Fix fail to create_shared_mem_array in ddp spawn train #4110

[Bugfix] Fix fail to create_shared_mem_array in ddp spawn train #4110
Replace random.seed() to random_ = random.Random()

* Update pytorch.py
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Add Flickr and Yelp dataset

* Update flickr.py

* update

* Update yelp.py

* Update yelp.py

* update

* Update yelp.py

* Update test_data.py

* Update yelp.py

* update

* Update test_data.py

* Update yelp.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>