dmlc--dgl
nv-dlasalle
17d604b5c7
* Split from NCCL PR * Fix type in comment * Expand documentation for sparse_all_to_all_push * Restore previous behavior in example * Re-work optimizer to use NCCL based on gradient location * Allow for running with embedding on CPU but using NCCL for gradient exchange * Optimize single partition case * Fix pylint errors * Add missing include * fix gradient indexing * Fix line continuation * Migrate 'first_step' * Skip tests without enough GPUs to run NCCL * Improve empty tensor handling for pytorch 1.5 * Fix indentation * Allow multiple NCCL communicator to coexist * Improve handling of empty message * Update python/dgl/nn/pytorch/sparse_emb.py Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com> * Update python/dgl/nn/pytorch/sparse_emb.py Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com> * Keepy empty tensor dimensionaless * th.empty -> th.tensor * Preserve shape for empty non-zero dimension tensors * Use shared state, when embedding is shared * Add support for gathering an embedding * Fix typo * Fix more typos * Fix backend call * Use NodeDataLoader to take advantage of ddp * Update training script to share memory * Only squeeze last dimension * Better handle empty message * Keep embedding on the target device GPU if dgl_sparse if false in RGCN example * Fix typo in comment * Add asserts * Improve documentation in example Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com>