* [Dist] enable to chunk node/edge data into arbitrary number of chunks
* [Dist] enable to split node/edge data into arbitrary parts
* refine code
* Format boolean to uint8 forcely to avoid dist.scatter failure
* convert boolean to int8 before scatter and revert it after scatter
* refine code
* fix test
* refine code
* move test utilities into utils.py
* update comment
* fix empty data
* update
* update
* fix empty data issue
* release unnecessary mem
* release unnecessary mem
* release unnecessary mem
* release unnecessary mem
* release unnecessary mem
* remove unnecessary shuffle data
* separate array_split into standalone utility
* add example
Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>
* add bf16 specializations
* remove SWITCH_BITS
* enable amp for bf16
* remove SWITCH_BITS for cpu kernels
* enbale bf16 based on CUDART
* fix compiling for sm<80
* fix cpu build
* enable unit tests
* update doc
* disable test for CUDA < 11.0
* address comments
* address comments
* [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
* [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>
* 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
* add ut
* add doc link
* install dep
* fix ci
* fix ut; more comments
* remove deprecated attributes in rdf datasets; fix label feature name
* address comments
* fix ut for other frameworks
* [Feature] add CSVDataset to load data from csv files
* add CSVDataset class file
* install pyyaml when running unit tests
* install pandas for unit tests
* utilize pydantic for YAML config check
* generate yaml and csv files during test
* make more keys as optional
* remove/rename several keys in yaml config and more tets though looks a bit clumsy
* fix test failure on mxnet
* pass /path/to/dataset instead of yaml path
* code refinement
* code refine
* change several yaml field such as feat and graph_id
* merge graph generation logic
* refine code
* Refactored_first_version
* DGLCSVDataset works for single heterograph
* add more tests
* fix test failure in mxnet
* add docstring
* use list comprehension for dict
* fix version in YAML
* refine data length assert
* use dict.pop directly
* remove ambiguous variable names
* refine graph id missing logic
* refine graph create call
* separate node/edge/graph data parser
* remove separator in DefaultDataParser
* refine validation error log for yaml field
* minor check
* refine code via dict.get()
* move load_from_csv into Node/Edge/GraphData
* move _parse_node/edge/graph_data into Node/Edge/GraphData
* refine id-related fields check
* check duplicate ntypes/etypes when load yaml
* refine docstring
* first commit
* some thoughts
* move around
* more commit
* more fixes
* now it uses torch allocator
* fix symbol export error
* fix
* fixes
* test fix
* add script
* building separate library per version
* fix for vs2019
* more fixes
* fix on windows build
* update jenkinsfile
* auto copy built dlls for windows
* lint and installation guide update
* fix
* specify conda environment
* set environment for ci
* fix
* fix
* fix
* fix again
* revert
* fix cmake
* fix
* switch to using python interpreter path
* remove scripts
* debug
* oops sorry
* Update index.rst
* Update index.rst
* copies automatically, no need for this
* do not print message if library not found
* tiny fixes
* debug on nightly
* replace add_compile_definitions to make CMake 3.5 happy
* fix linking to wrong lib for multiple pytorch envs
* changed building strategy
* fix nightly
* fix windows
* fix windows again
* setup bugfix
* address comments
* change README
Rhett Ying