GitLab

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

* move example test from unit test to examples

* oops

* oops

* ok

* create_dev_conda_env

* fix

* polish

* nlabla

* cleanup

* more

* add_more

* polish

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

Following changes are made in this PR.
1. In dataset_utils.py, when reading edges from disk we follow the order defined by the STR_EDGE_TYPE key in the metadata.json file. This order is implicitly used to assign edgeid to edge types. This same order is used to read edges from the disk as well.
2. Now the unit test framework will also randomize the order of edges read from the disk. This is done for the edges when reading from the disk for the unit tests.
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.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 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

* lintrunner patch for gloo_wrapper.py

* lintrunner changes to the tools directory.

* remove unnecessary clean up.

* more

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

* [Dist] add input_dir for parmetis preprocess

* add support for parquet

* update parmetis_wrapper accordingly

* update pip install info.

* update

* clarify the version

* blabla

* blabl

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

* 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>

* Created using Colaboratory

* Created using Colaboratory

* Created using Colaboratory

* Created using Colaboratory

* Created using Colaboratory

* Created using Colaboratory

* fix

* sddmm

* change

* blabla

* blabla

* revert

* newpr

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

* update

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

* fix sparse reduce and softmax doc

* Update softmax.py

changing privimitive to primitive

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: 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>