GitLab

* * Added half_(), float_(), and double_() functions to DGLHeteroGraph, HeteroNodeDataView, and HeteroEdgeDataView, for converting floating-point tensor data to float16, float32, or float64 precision

* * Extracted out private functions for floating-point type conversion, to reduce code duplication

* * Added test for floating-point data conversion functions, half_(), float_(), and double_()

* * Moved half_(), float_(), and double_() functions from HeteroNodeDataView and HeteroEdgeDataView to Frame class

* * Updated test_float_cast() to use dgl.heterograph instead of dgl.graph

* Added to CONTRIBUTORS.md

* * Changed data type conversion to be deferred until the data is accessed, to avoid redundant conversions of data that isn't used.

* * Addressed issues flagged by linter

* * Worked around a bug in the old version of mxnet that's currently used for DGL testing

* * Only defer Column data type co...

Prevent users from attempting to pin PyTorch non-contiguous tensors or views only encompassing part of tensor. (#3992)

* Disable pinning non-contiguous memory

* Prevent views from being converted for write

* Fix linting

* Add unit tests

* Improve error message for users

* Switch to pytest function

* exclude mxnet and tensorflow from inplace pinning

* Add skip

* Restrict to pytorch backend

* Use backend to retrieve device

* Fix capitalization in decorator
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* Explicitly unpin tensoradapter allocated arrays

* Undo unrelated change

* Add unit test

* update unit test

* Update

* Update

* Update

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* Fix

* Update

* Update

* Update

* remove unnecessary induced vertices in EdgeSubgraph

* add unit test

* fix

* revert

* Update dataloader.py

Based on the pull request: https://github.com/dmlc/dgl/pull/3983

With the emergence of new ISA (like ARM and RISCV) retaining USE_AVX ON default makes the default build instructions fail. Fundamentally DGL does not require the use of AVX for functional working. AVX is mainly needed when to enable optimization. So proposal is to default turn it off and then later during build instructions, folks with AVX capabilities can enable with 
`cmake .. -DUSE_AVX=ON`
Co-authored-by: Zihao Ye <expye@outlook.com>

* [Dist] Enable maximum try times for socket backend via DGL_DIST_MAX_TRY_TIMES

* reset env before/after test

* print log for info when trying to connect

* fix

* print log in python instead of cpp

* rename

* Update node_classification.py

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

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

* * Fixed race condition bug in distributed/optim/pytorch/sparse_optim.py's SparseAdam::update, corresponding with the bug fixed in the non-distributed version in https://github.com/dmlc/dgl/pull/3013 , though using the newer Event-based approach from that corresponding function.  The race condition would often result in NaNs, like the previously fixed bug. https://github.com/dmlc/dgl/issues/2760



* * Fixed race condition bug in SparseAdagrad::update corresponding with the one fixed in SparseAdam::update in the previous commit.  Same info applies.

* * Fixed typo in all copies of a repeatedly-copied comment near bug fixed 3 commits ago, checking all implementations nearby for a corresponding bug.  (All of them appear to have been fixed as of 2 commits ago.)

* * Removed trailing whitespace
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>

* [Model]P-GNN

* updata

* [Example]P-GNN

* Update README.md

* Add NodeFeatureMasking and NormalizeFeatures

* Update

* Update transforms.rst

* Update

* Update

* Update

* Update test_transform.py

* Update

* Update

* Update test_transform.py

* Update module.py

* Update module.py

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

* Update

* Update

* Fix

* Update

* CI

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

* Update

Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Zihao Ye <expye@outlook.com>

* [BugFix] fix job status in master CI

* finalize

* [CI] fix job status

* fetch from master

* PR3355 + CSR conversion workaround

* Remove debug code

* Fix convention errors

* Remove wrongly added code section during merge

* Update to reflect dataloading changes

* Fix missing changes

* Remove comment

* Fix linter errors

* Fix trailing whitespace

* Add wrapper around worker init function
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

* [Feature] enable socket net_type for rpc

* fix lint

* fix lint

* fix build issue on windows

* fix test failure on windows

* fix test failure

* fix cpp unit test failure

* net_type blocking max_try_times

* fix other comments

* fix lint

* fix comment

* fix lint

* fix cpp

* fix

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

* Based on issue #3436. Improving _SegmentCopyKernel s GPU utilization by switching to nonzero based thread assignment

* fixing lint issues

* Update cub for cuda 11.5 compatibility (#3468)

* fixing type mismatch

* tx guaranteed to be smaller than nnz. Hence removing last check

* minor: updating comment

* adding three unit tests for csr slice method to cover some corner cases

* timing repeatkernel

* clean

* clean

* clean

* updating _SegmentMaskColKernel

* Working on requests: removing sorted array check and adding comments to utility functions

* fixing lint issue

* Optimizing disjoint union kernel

* Trying to resolve compilation issue on CI

* [EMPTY] Relevant commit message here

* applying revision requests on cpu/disjoint_union.cc

* removing unnecessary casts

* remove extra space
Co-authored-by: Abdurrahman Yasar <ayasar@nvidia.com>
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>
Co-authored-by: Jinjing Zhou <VoVAllen@users.noreply.github.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

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

* Update

* Update

* Update

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

* Fix benchmark time measurement

* Reduce batch size for bench_rgcn_homogeneous_ns am

bench_rgcn_homogeneous_ns am data sample size is too small for 1024 batch size
Co-authored-by: Rhett Ying <85214957+Rhett-Ying@users.noreply.github.com>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>

Signed-off-by: Serge Panev <spanev@nvidia.com>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>

* fix

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

refactor CI report and log

* fix docs

* remove

* oh

* fix

* add eges example

* remove csv files and add data link

* Update README.md

* Update main.py

* Update model.py

* Update sampler.py

* Update utils.py

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

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

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