* feature: add a parse parameter degree_as_nlabel for pytorch-gin demo
* fix some typo
* [fix]: allow to benchmark all of the 9 dataset.
* [Feature] add epoch number to log
* [Feature]:simply list the command lines for all datasets (https://github.com/dmlc/dgl/pull/3676#discussion_r790270705) and run a test.
* Update README.md
* update: DGL-powered projects-DGLD
[DGLD](https://github.com/EagleLab-ZJU/DGLD) is an open-source library for Deep Graph Anomaly Detection based on pytorch and DGL. It provides unified interface of popular graph anomaly detection methods, including the data loader, data augmentation, model training and evaluation. Also, the widely used modules are well organized so that developers and researchers can quickly implement their own designed models.
Co-authored-by: Ubuntu <ubuntu@ip-172-31-10-175.ap-northeast-1.compute.internal>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* dummy
* upgrade torch from 1.8.1 to 1.9.0 for asv
* update torch download link
* remove version for torchvision and torch text
* revert unnecessary change
* fix several test failure
* fix
* remove am dataset
* fix test failure
* fix test failure
* fix rgcn failures
* Added to_cugraph and from_cugraph functionality
* fix from_cugraph example
* Addressed Reviews
* Fix linting
* Apply suggestions to docstrings from code review
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>
* Add API docs and remove `from_cugraph` alias
* move cugraph tests to tests/cugraph/test_basics.py
* remove ununsed imports from test_basics.py
* remove pytest.importorskip as no longer needed
Co-authored-by: Minjie Wang <minjie.wang@nyu.edu>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
* [CI] add new stage specific forcuda related features based on nvidia+pytorch
* build and test for gpu_nv
* fix build failure
* fix unit tests
* make -j
* install cython beforehand
* copy cython lib
* test cugraph tests only
* fix typo
* separate test script for cugraph
* refactor build dgl shell
* [Feature] extend sort_csr/csc_by_tag to edge
* fix test ffailure in tensorflow
* refine sorting by edges
* fix docstring
* remove unnecessary mem
Co-authored-by: Xin Yao <xiny@nvidia.com>
* Regolden graphsage example to guide others
* update golden
* update
* Update example and propagate to original folder
* Update to remove ^M (windows DOS) character
* update
* Merge file changes and update README
* Minor comment update
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* * Workaround for graph data saving/loading compatibility problem in Column class. There may be more places in DGL with the same issue, due to using Python serialization, instead of a more cohesive, comprehensive strategy. This is just a local fix.
* Add checking for non-empty states
* Add unit test
* Handle the case of columns without storage
Co-authored-by: ndickson <ndickson@nvidia.com>
Co-authored-by: Xin Yao <xiny@nvidia.com>
* Update nccl communicator for when NCCL is missing
* Use static_cast
* Add doc string
* Fix whitespace
* Resrtict unit test to GPU runs
Co-authored-by: Xin Yao <xiny@nvidia.com>
* * Added missing specializations for `__half` of `DLDataTypeTraits`, `IndexSelect`, `Full`, `Scatter_`, `CSRGetData`, `CSRMM`, `CSRSum`, `IndexSelectCPUFromGPU`
* Fixed casting issue in `_LinearSearchKernel` that was preventing it from supporting `__half`
* Added `#if`'d out specializations of `CSRGEMM`, `CSRGEAM`, and `Xgeam`, which would require functions that aren't currently provided by cublas
* * Added more specific error messages for unimplemented FP16 specializations of Xgeam, CSRGEMM, and CSRGEAM
* * Added missing instantiation of DLDataTypeTraits<__half>::dtype
* * Fixed linter error
* Added clearer comment explaining why the cast to long long is necessary
* * Worked around a compile error in some particular setup, where __half can't be constructed on the host side
* * Fixed linter formatting errors
* * Changes to comments as recommended
* * Made recommended changes to logging errors in FP16 specializations
* Also changed the existing Xgeam function for unsupported data types from LOG(INFO) to LOG(FATAL)
* [Dist] enable USE_EPOLL in default
* fix build issue on windows
* fix build issue on windows
* fix build issue on windows
* fix build issue on windows
* fix build issue on windows
* fix build issue
Quan (Andy) Gan