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* * 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>

* [Dist] master port should be fixed for all trainers

* add tests for tools/launch.py

* add argument reorder=False for citation_graph

* add description of the argument reorder

* add reordered/un_reordered save_path

* add version number postfix
Co-authored-by: Mufei Li <mufeili1996@gmail.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>

[Bugfix] Fix example case: examples/pytorch/ogb/ogbn-proteins and examples/pytorch/ogb/ogbn-products (#4080)

* [Bugfix] Fix ogbn-gat-proteins/products examples

* Remove unused BatchSampler definition

* Remove comments to ease reading/reviewing

* Remove dataloader wrapper

* [ist] enable time out when fetching msg

* fix lint error

* minor refinements

* improve minor log

* fix dist test

* fix timeout issue in tensorpipe

* [DistTest] add python test of RPC

* remove return

* [DistTest] add basic pipeline for dist test across machines

* move launch remote cmd to separate file

* add test for rpc

* fix function naming rule
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>

* * Added specialization of cublasGemm function for `__half` type, to try to address https://github.com/dmlc/dgl/issues/3988



* * Added USE_FP16 guard

* * Added test cases to test_segment_mm, to test newly-added FP16 specialization of cublasGemm

* * Replaced for loop in test_segment_mm with pytest.mark.parametrize, as recommended
Co-authored-by: Xin Yao <xiny@nvidia.com>

* Update link to correct destination.

* Update 4_rgcn.py

* Update 4_rgcn.py

* Update tutorials/models/1_gnn/4_rgcn.py

* Update tutorials/models/1_gnn/4_rgcn.py

* Update tutorials/models/1_gnn/4_rgcn.py
Co-authored-by: Rhett Ying <85214957+Rhett-Ying@users.noreply.github.com>

* * Added support for common operations on FP16 (`half` or `__half`) for older GPU architectures
* Fixed an issue with previous check for FP16 support

* * Removing FP16 type checks, since they should no longer be needed

* * Fixed AtomicAdd to be atomic for `float` and `double` for old GPU architectures.  Unfortunately, it seems that atomicCAS for unsigned short seems to be unavailable until architecture 70, so half will have to stay non-atomic on old GPUs.

* * Fixed non-atomic version of `AtomicAdd<half>` for older GPUs to return old value instead value of new

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

Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>
Co-authored-by: Israt Nisa <neesha295@gmail.com>

* typo fix in TUDataset docs

* remove bias in Linear layer because of BatchNorm1d
Co-authored-by: decoherencer <decoherencer@users.noreply.github.com>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* Update

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* update

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* Fix

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* lr_scheduler

* Update

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* Fix

* Fix

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* Fix

* Update

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* Fix

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* CI

* Update

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

* [Example][Bug] Fix GCMC examples

* Revert the change of model.py from #74f01405

* Add BGRL example

* Update README.md

* Update utils.py

* Update

* Update utils.py

Co-authored-by: decoherencer <decoherencer@users.noreply.github.com>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* enhance EGATConv| nfeats as tuples

* egatconv modified for bipartite graphs

* modified docstrings

* added/modified unittests for EGATConv

* Update egatconv.py

* rectified lint errors
Co-authored-by: rijulizer <riju.mukherjee@gmail.com>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

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

* Fix bugs & Update dataset

* Update

* Update wikics.py

* Update wikics.py

* Update test_data.py

* Update wikics.py

* Update wikics.py

* Update wikics.py

* update

* Update module.py

* Update dgl.data.rst

* Update wikics.py

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

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

* Update

* CI

* Update

* Update

* Fix

* Fix

* change warning message

* Update tensordispatch.cc

This reverts commit fdd1fe19.

Co-authored-by: decoherencer <decoherencer@users.noreply.github.com>

* Update

* Update

* Update dgl.data.rst

* CI

* Enable FP16 for GPU builds in CI

* Limit default GPU archs to pascal and above

* Disable FP16 dispatching for cuda architectures less than 60

* Fix linting

* Fix typos

* cython nogil

* move APIs to internal and add unit test

* fix lint

* disable callback array test