* Add uva by default to embedding
* More updates
* Update optimizer
* Add new uva functions
* Expose new pinned memory function
* Add unit tests
* Update formatting
* Fix unit test
* Handle auto UVA case when training is on CPU
* Allow per-embedding decisions for whether to use UVA
* Address spares_optim.py comments
* Remove unused templates
* Update unit test
* Use dgl allocate memory for pinning
* allow automatically unpin
* workaround for d2h copy with a different dtype
* fix linting
* update error message
* update copyright
Co-authored-by: Xin Yao <xiny@nvidia.com>
Co-authored-by: Minjie Wang <wmjlyjemaine@gmail.com>
* Explicitly unpin tensoradapter allocated arrays
* Undo unrelated change
* Add unit test
* update unit test
* add pinned_by_dgl flag to NDArray::Container
* use dgl.ndarray for holding the pinning status
* update multi-gpu uva inference
* reinterpret cast NDArray::Container* to DLTensor* in MoveAsDLTensor
* update unpin column and examples
* add unit test for unpin column
Co-authored-by: Dominique LaSalle <dlasalle@nvidia.com>
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>
nv-dlasalle