Initial implementation of nx_cugraph.accel
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This aims to provide a similar UX as `cuml.accel` and `cudf.pandas`. They both use `install()`, which we follow as `nxcg.accel.install()`, but I would have preferred `enable()` and `disable()`. Also, `%load_ext nx_cugraph.accel` to set networkx config in IPython and Jupyter. This is like `%load_ext cuml.accel` and `%load_ext cudf.pandas`. Not yet supported: - `python -m nx_cugraph.accel script.py` - `pytest_load_initial_conftests` - Profiling
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This aims to provide a similar UX as
cuml.accelandcudf.pandas.They both use
install(), which we follow asnxcg.accel.install(), but I would have preferredenable()anddisable().Also,
%load_ext nx_cugraph.accelto set networkx config in IPython and Jupyter. This is like%load_ext cuml.acceland%load_ext cudf.pandas.Not yet supported:
python -m nx_cugraph.accel script.pypytest_load_initial_conftests