GitLab

* bump version

* Update update_version.py

* autofix

* sort

* sort

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

[Misc] Auto format with manual fix of 3 files and add pylint: disable= too-many-lines for functional.py. (#5330)

* blabal

* 2more

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

* data

* lintrunner

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Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

Co-authored-by: Ubuntu <ubuntu@ip-172-31-28-63.ap-northeast-1.compute.internal>

* update cugraph_relgraphconv

* update equality test

* update cugraph rgcn example

* update RelGraphConvAgg based on latest API changes

* enable fallback option to fg when fanout is large

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

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

Some weird formatting occurred in the documentation for EGATConv, so this quick commit should fix that.
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* 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>

* Fix Column.record_stream(...) for unmaterialized tensors

* lint

* Record streams for indices on non-materialized columns

* add docstring

* fix for cpu index

* Record also stream on storage

* Always call self.storage.record_stream when storage is on GPU

* fix lint

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

* 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>

* [Doc] Labor sampling improvement

When importance sampling option is used, the returned blocks include edge weights that need to be used during the message passing operation. So, I am including this in the documentation.

* Add documentation to weighted sampling case also

* swap-example

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

* part1

* more

* more

* spmatrix

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

* add_backslash

* fix

* more

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

* fix

* sddmm

* change

* blabla

* blabla

* revert

* newpr

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

* fix sparse reduce and softmax doc

* Update softmax.py

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

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

* [Sparse] Add spmatrix creation function

* Update

* Update sparse_matrix.py

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

* [Sparse] Polish the docstring of sparse_matrix.py

* Update

* Update

* Update

* Update

* update conda branch

* fix conda

* update conda

* update

* update windows build script

* copy static library to build dir

* try again

* fix

* lint

* [Sparse] Only support scalar or vector values in SparseMatrix creators

* Update

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

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

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

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

* polish

* [Sparse] Polish softmax.py.

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

* polish mm docstrings

* fix typo

* small fix.

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

* polish

* example

* revert_example

* pylint

* revert_input

* order

* add input as parameter

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

* [Sparse] Polish the docstring of SparseMatrix.csr() and SparseMatrix.csc()

* Update sparse_matrix.py

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

* polish diagonal

* polsih

* more

* more

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

* 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>