GitLab

* enable sparse on windows and mac

* that was stupid

* let's see what's going on..

* [Sparse] Fix the import error on Mac OS.

When using template functions that are defined in source files from DGL,
the loader of MacOS somehow cannot find their definitions. This fix simply
avoids depending on template functions from DGL headers.

With this fix, the sparse tests all pass on the MAC environment.

* ok this is the problem

* make errors clearer

* uh

* test

* Update __init__.py

* disabling ddp on windows

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Co-authored-by: czkkkkkk <zekucai@gmail.com>

Add Id hash map

* add SVD positional encoding

* modify importing module

* Fixed certain problems

* Change the test unit to a nonsigular one

* Fixed typo and make accord with lintrunner

* added svd_pe into dgl.rst

* Modified dgl.rst

* remove_mock_sparse_example

* mock_sparse_test

* remove_mock_sparse

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Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* enable dgl sparse build in default

* disable sparse build on cugraph

* update

* use NotImplemented

* format

* sparse sub

* address comments

* lint

* Update elementwise_op_diag.py

* ugh
Co-authored-by: Rhett Ying <85214957+Rhett-Ying@users.noreply.github.com>

* use NotImplemented

* format

* extend to pytorch scalar

* sparse div scalar

* oops

* Apply suggestions from code review
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* [Sparse] Refactor matmul interface.

* Update

* as_sp_to_sp

* dense

* revert_mock

* test

* revert
Co-authored-by: Steve <ubuntu@ip-172-31-34-29.ap-northeast-1.compute.internal>

* use NotImplemented

* format

* extend to pytorch scalar

* reformat

* reformat

* lint

* use NotImplemented

* add TypeError tests

* format

* lint

* fix type

* fix docstring

* lint

* remove redundant condition

* Add failing unit test

* Add fix

* Remove extra newline

* skip cpu test
Co-authored-by: Xin Yao <yaox12@outlook.com>

* overwrite default_collate_fn

* Update dataloader.py

* Update dataloader.py

* Update dataloader.py

* Update dataloader.py

* Update test_dataloader.py

* revert the test code being reverted in #4956

* Update

* Update

* Update

* lint

* lint

* Update

* CI

* Update diag_matrix.py

* Update sparse_matrix.py

* Update sparse_matrix.py
Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>
Co-authored-by: Hongzhi (Steve), Chen <chenhongzhi.nkcs@gmail.com>

* Allow reading and writing single-column vector Parquet files.

These files are commonly produced by Spark ML's feature processing code.

* [Dist] Only write single-column vector files for Parquet in tests.

* update

* Update

* Update

* Update

* Update
Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>

[Dist] Add support for Parquet-formatted edges files, remove some assumptions on edge file number. (#5051)

* [Dist] Add support for Parquet-formatted edges files, remove some assumptions on edge file number.

* [Dist] Add parquet edges option to unit tests.
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>

* Add SpatialEncoder and SpatialEncoder3d

* Optimize the code execution efficiency

* Fixed certain problems according to Dongyu's suggestions.

* Fix an error about probability of division by zero in PathEcoder; Change certain designs in SpatialEncoder

* Fix a typo

* polish the docstring

* fix doc

* lint
Co-authored-by: Ubuntu <ubuntu@ip-172-31-14-146.ap-northeast-1.compute.internal>
Co-authored-by: rudongyu <ru_dongyu@outlook.com>

* update

* lint

* lint

* comments
Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>

* new print func

* lintrunner

* pass gcn

* example tests

* pass gcnii, hgnn, sgc, sign

* black

* test file

* add torchmetrics

* migrate appnp, c_and_s, twirls

* fix style

* minor fix

* fix hypergraphatt and twirls

* pass gat

* fix torchmetric

* lintrunner
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* [Sparse] Support BSpMM and BSDDMM

* Update SpMM and SDDMM error messages

* Use TORCH_CHECK

* Update error string

* add coalesce() and has_duplicate()

* Add duplicate check in spspmm

* black

* fix

* clang-format

* lintrunner

* minor fix

* fix

Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>

* Update

* update

* Update

* Update

* Update

* format

* Update

* lint

* Update

* lint

* CI

* CI

* Update

* address comments
Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>

* rename

* next time i should use lintrunner

* [Sparse] Add SpSpMM

* Update matmul interface

* address comments

* fix test utils to generate only coalesced matrices

* fix linter

* fix ut

* fix

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

* initial commit

* lint

* rename

* address comments

* add doctests

* address comments

* remove additional test

* add description

* lint

* lint

* lint

* Update test_reduction.py
Co-authored-by: Hongzhi (Steve), Chen <chenhongzhi.nkcs@gmail.com>

* [Sparse] Support SpMM and SDDMM

* Add SDDMMAutoGrad

* Rename SpMMImpl and SDDMMImpl and move them to dgl_sparse/src/matmul.h

* Update comments

* Update

* Minor fix

Signed-off-by: Serge Panev <spanev@nvidia.com>
Signed-off-by: Serge Panev <spanev@nvidia.com>

[Sparse] Add Two Sparse Matrices with Different Sparsity, DiagMatrix.dense, Add SparseMatrix and DiagMatrix (#5044)

* Update

* undo wrong edit

* lint

* fix import

* Update
Co-authored-by: Ubuntu <ubuntu@ip-172-31-36-188.ap-northeast-1.compute.internal>