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mdspan PoC for distance make_blobs #538

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merged 14 commits into from
Mar 9, 2022
Merged

mdspan PoC for distance make_blobs #538

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935ea33
PoC for distance make_blobs
cjnolet Mar 1, 2022
82f78df
Updating readme
cjnolet Mar 1, 2022
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Updating ball cover
cjnolet Mar 1, 2022
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cjnolet Mar 1, 2022
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Style
cjnolet Mar 1, 2022
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Updating distance doxygen to remove defgroup for now
cjnolet Mar 2, 2022
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Updating some docs
cjnolet Mar 2, 2022
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cjnolet Mar 2, 2022
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Distance test using mdspan
cjnolet Mar 3, 2022
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Updating the README
cjnolet Mar 3, 2022
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more updates
cjnolet Mar 3, 2022
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Using view
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Adding namespace
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Updating readme per review feedback
cjnolet Mar 9, 2022
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@cjnolet
cjnolet committed Mar 3, 2022
commit d7695ee85661a7c7411f40b2d88066c27ac04d51
2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -36,7 +36,7 @@ The Python API is being improved to wrap the algorithms and primitives from the

Most of the primitives in RAFT accept a `raft::handle_t` object for the management of resources which are expensive to create, such CUDA streams, stream pools, and handles to other CUDA libraries like `cublas` and `cusolver`.

The example below demonstrates creating a RAFT handle and using it with `device_matrix` and `device_vector` to allocate memory, generate random clusters, and compute
The example below demonstrates creating a RAFT handle and using it with `device_matrix` and `device_vector` to allocate memory, generating random clusters, and computing
pairwise Euclidean distances:
```c++
#include <raft/handle.hpp>
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