* fix unstable sort
* add torch version check
* reformat
* split too long comments
* Update dataloader.py
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
* 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 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>
* * 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 conversion if there is a pending device transfer or index sampling to be done. This is expected to be the desired behaviour based on discussions of a few use cases, as described in the comments.
* * Moved floating-point feature data conversion functions to dgl.transforms.functional
* Changed them from in-place behaviour to shallow copy (out-of-place) behaviour
* * Fixed linter issues
* * Removed lines that unintentionally added to_half, to_float, and to_double to DGLHeteroGraph
* Moved _init_api line to the end of the file again
* * Removed one of the two leading underscores from Frame.__astype_float, making it not fully private
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>
* 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>
* [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
* * 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>
* Add failing unit test
* Fix negative sampler edge types
* fix test
* oops
* revert
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
Co-authored-by: Quan Gan <coin2028@hotmail.com>
* enable uva for pinsage sampler
* unit test
* modify some checks on the python side
* remove legacy random walk code
* update unit test
* update unit test
* fix unit test
* adjust checks
* move some checks to c++
* move max_nodes check to cuda kernel
* fix ci for tf
Co-authored-by: Quan (Andy) Gan <coin2028@hotmail.com>
Co-authored-by: nv-dlasalle <63612878+nv-dlasalle@users.noreply.github.com>
Rhett Ying