* Enable AVX by default
* Fix linting errors
* Fix win64 build (libxsmm not linked)
Libxsmm on Win64 is not linked, should be disabled by default
* Fix clang format issues
* Change lower supported cpu version to LIBXSMM_X86_AVX2
Change lower supported cpu version to LIBXSMM_X86_AVX2 to address https://github.com/dmlc/dgl/issues/3459 issue
* Fix unit test
Remove assumption that libxsmm is enabled in the config by default (only true for intel CPUs with AVX2 instructions)
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Co-authored-by: Ubuntu <ubuntu@ip-172-31-15-137.us-west-2.compute.internal>
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
* Replacing numpy's unique with custom implementation
* Added docstring to the new function.
* Adding unit tests
* Numpy's version issues with the 'kind' argument.
* Addressing CI Test Failure.
* Addressing CI review comments.
* revised implementation, optimized for time.
* added missing arguments for fallback case.
* Addressing CI test failures.
* Resolving issues with PYTHONPATH
* Fix CI Test Failure issues.
* fix CI test failures.
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Co-authored-by: Rhett Ying <85214957+Rhett-Ying@users.noreply.github.com>
* new functional for creating data splits in graph
* minor fix in data split implementation
* apply suggestions from code review
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* refactoring + unit tests
* fix test file name
* move imports to the top
* Revert "fix test file name"
This reverts commit 126323e38c8de6fdc73c826dccc9048aed8f9634.
* remove nccl submodule
* address linter issues
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Co-authored-by: Mufei Li <mufeili1996@gmail.com>
Co-authored-by: Hongzhi (Steve), Chen <chenhongzhi.nkcs@gmail.com>
* Bugfix for reverse edge issue.
* Resolved copy/paste transcription error
* lint
* Added unit tests for graph with not all reverses.
* linting + added backend device test
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Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: Rhett Ying <85214957+Rhett-Ying@users.noreply.github.com>
* Sync parmetis_wrapper with changes in metadata.json
1. In the preprocess.py, make sure that num_partitions is defined as input argument. Also, align 'input_dir' with the input dataset. schema_file is assumed to be located inside the input_dir. Also, graph_stats.txt file is assumed to be present in the input_dir.
2. Use DGL_HOME environment variable so that parmetis_wrapper command can be run anywhere.
* Fix CI test failure cases.
* Addressing CI review comments.
* Addressing CI test failures.
* Applying lintrunner patch
* Support for no. of chunks smaller than no. of partitions and Adding appropriate test cases.
Following changes are made with this PR.
1. Code changes for handling no. of chunks smaller than no. of partitions
2. Adding new test cases, which were previously deleted, for no. of chunks smaller than no. of partitions.
3. Also adding test cases, where multiple partitions are handled by a single process.
* Committing the missing files in this commit.
* lintrunner patch.
* lintrunner check
* lintrunner patch here.
* CI review comments.
* add CuGraphGATConv model
* lintrunner
* update model to reflect changes in make_mfg_csr(), move max_in_degree to forward()
* simplify pytest markers
* fall back to FG option for large fanout
* update error msg
* add feat_drop and activation options
* add residual option
* Update python/dgl/nn/pytorch/conv/cugraph_gatconv.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Update python/dgl/nn/pytorch/conv/cugraph_gatconv.py
Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* reset res_fc
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Co-authored-by: Mufei Li <mufeili1996@gmail.com>
* Implemented the following changes.
* Remove NUM_NODES_PER_CHUNK
* Remove NUM_EDGES_PER_CHUNK
* Remove the dependency between no. of edge files per edge type and no. of partitions
* Remove the dependency between no. of edge feature files per edge type and no. of partitions
* Remove the dependency between no. of edge feature files and no. of edge files per edge type.
* Remove the dependency between no. of node feature files and no. of partitions
* Add “node_type_counts”. This will be a list of integers. Each integer will represent total count of a node-type. The index in this list and the index in the “node_type” will be the same for a given node-type.
* Add “edge_type_counts”. This will be a list of integers. Each integer will represent total count of an edge-type. The index in this list and the index in the “edge_type” list will be the same for a given edge-type.
* Applying lintrunner patch.
* Adding missing keys to the metadata in the unit test framework.
* lintrunner patch.
* Resolving CI test failures due to merge conflicts.
* Applying lintrunner patch
* applying lintrunner patch
* Replacing tabspace with spaces - to satisfy lintrunner
* Fixing the CI Test Failure cases.
* Applying lintrunner patch
* lintrunner complaining about a blank line.
* Resolving issues with print statement for NoneType
* Removed tests for the arbitrary chunks tests. Since this functionality is not supported anymore.
* Addressing CI review comments.
* addressing CI review comments
* lintrunner patch
* lintrunner patch.
* Addressing CI review comments.
* lintrunner patch.
* subgraphx commit
* nits
* newline eof added
* lint fix
* test script updated to use default values
* lint fix
* graphs that are used for test cases are updated to a small graph
* lint formatted
* test paramter adj to complete the test under 20s
* lint fixes
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Co-authored-by: kxm180046 <kxm180046@utdallas.edu>
* 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>
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>
* 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>
Daniil Sizov