GitLab

* temporal neighbor sampling adjustments (part2)

* fix

* version up

* formatting

* fix

* reset

* revert

* temporal neighbor sampling adjustments

* typo

* version up

* formatting

* fix

* reset

* revert

* temporal sample

* hetero_neighbor_sample temporal

* api

* remove redundant function

* refactor

* remove catch output

* debug compile

* testing env

* debug

* debug

* debug

* debug

* debug

* revert

* node time data should not be const

* Update csrc/cpu/neighbor_sample_cpu.cpp
Co-authored-by: Matthias Fey <matthias.fey@tu-dortmund.de>

* Update csrc/cpu/neighbor_sample_cpu.cpp
Co-authored-by: Matthias Fey <matthias.fey@tu-dortmund.de>

* Update csrc/cpu/neighbor_sample_cpu.cpp
Co-authored-by: Matthias Fey <matthias.fey@tu-dortmund.de>

* Update csrc/cpu/neighbor_sample_cpu.cpp
Co-authored-by: Matthias Fey <matthias.fey@tu-dortmund.de>

* temporal template

* compilation fixes
Co-authored-by: Matthias Fey <matthias.fey@tu-dortmund.de>

* adjust tensor creation

* update

Co-authored-by: Alessandro Pacchioni <apacchioni@ambarella.com>

* torch randint

* update

* fix type

* update

* add test
Co-authored-by: rusty1s <matthias.fey@tu-dortmund.de>

* cmake fixes

* update

* update

* update

* update

* reset

* fixing neighbour sampling when repeated nodes

* fix problem with indexing

* reset

* reset

* reset

* add tests
Co-authored-by: rusty1s <matthias.fey@tu-dortmund.de>

* Fixes for build with the new pytorch

* Fixes for build with the new pytorch

* Fixes for build with the new pytorch

* mac arm64(m1)

* linting

* # Compile for mac arm64

* # Compile for mac arm64

* removing .DS_Store

* Mark exported symbols with `SPARSE_API` so they are available in the DLL on WIndows.

* Export symbols by default in the Python library.

* Sync headers with implementation.

* Include the `SPARSE_API` macro.

* Fix linting issue.

* Add `WITH_PYTHON` to conditionally link to Python.

* Only include `Python.h` when WITH_PYTHON is set.

* Avoid including extensions.h as it includes Python.h.

* Better way to include `getpid()`.

* Define `WITH_PYTHON` when building with setup.py.

* Only include Pyinit when building with Python.

* Only include Pyinit when building with Python.

* Uses the `trust_data` invariant to skip blocking assertions, when unnecessary, during construction of `SparseStorage` objects.
* Refactors the dtype and device transfer APIs to align with `torch.Tensor` while maintaining backward compatibility.
* No longer constructs dummy tensors when changing dtype or device.

* fix(`SparseTensor.__getitem__`): support `np.ndarray` and fix `List[bool]`

support indexing with np.ndarray & fix bug merging from indexing with
List[bool]

* style(tensor, test_tensor): pep8 E501 too long

support indexing with np.ndarray & fix bug merging from indexing
with
List[bool]

* update

* typo

* typo
Co-authored-by: tim <dbwtimteo@outlook.com>
Co-authored-by: rusty1s <matthias.fey@tu-dortmund.de>

* Create spadd.py

Hi,
Maybe it's trivial to have this function, but I still think it'll be helpful and it looks neat when applying matrix addition, i.e., C = A + B.
Thanks

* update

* update

* fix jit
Co-authored-by: rusty1s <matthias.fey@tu-dortmund.de>

Update storage.py

BUG: when sparse_sizes is passed with (None, None), this causes an error