Problem

Cub allows itself to place into a namespace via CUB_NS_PREFIX and CUB_NS_POSTFIX, such that multiple shared libraries can each utilize their own copy of it (and thus different versions can safely coexist). Static variables used for caching could otherwise cause problems (e.g., https://github.com/NVIDIA/cub/blob/main/cub/util_device.cuh#L212).

Thrust however depends on cub and

Describe the bug
Not a proper bug. The UMAP implementation has a typo in the target_weights argument, where the original UMAP uses target_weight. This creates issues of compatibility when working with both libraries.

Steps/Code to reproduce bug

from cuml import UMAP

mapper = UMAP(n_neighbors=15, n_components=2, target_weights=0.5)
# no error here

mapper2 = UMAP(n_neigh

DeviceSegmentedReduce reduces each segment using the same kernel as DeviceReduce, and thus provides the same run-to-run consistency guarantee for non-associative types. The documentation for DeviceSegmentedReduce should be updated to reflect this.

E.g. this bit: https://github.com/NVIDIA/cub/blob/a8910accebe74ce043a13026f8e71d678cddd6c1/cub/device/device_reduce.cuh#L91-L95
needs to be ad

We can probably move RemoveContiguous to RemoveNOP:

https://github.com/NVIDIA/TRTorch/blob/72cb449166a885974c619e4040e38801dd61ae02/core/lowering/passes/remove_contiguous.cpp#L10

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