Comments (4)
We build a C++ & Python package for RMM, which is also header only.
You are right, we need a Conda package for the C++ header files to make it easy for projects like cuCIM and cuDF to use the C++ API.
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@madsbk do you think it's necessary to build a libkvikio conda package as well as the Python package or is one large package enough ?
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One conda package of the Python library should be enough.
Notice, the C++ library is header-only so there isn't any compiled library such as libkvikio.so
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We build a C++ & Python package for RMM, which is also header only.
from kvikio.
Related Issues (20)
- Notebooks with old API HOT 1
- [KvikIO] CUDA 12 Conda Packages for ARM
- single-node-io.py sample fails inside a docker container HOT 4
- [HDF5]: a KvikIO Virtual File Driver HOT 3
- [Discussion] HDF5+GDS+multi-threading HOT 5
- HDF5 Direct Access HOT 11
- Error when loading Zarr store with LZ4 compression using numcodecs or nvCOMP HOT 4
- [DOC] how to combine KvikIO's Zarr and Dask?
- Error when resetting number of threads using kvikio. HOT 1
- write numpy array to zarr with CompatCompressor HOT 5
- Use async `cuMemcpy` APIs instead of synchronous ones
- Store and path to zip files isn't supported HOT 1
- Support aarch64 + libcufile HOT 1
- libkvikio conda packages are built with INTERFACE_COMPILE_DEFINITIONS that require CUDA 12.2 for cuFile Stream APIs
- pip availability HOT 3
- ImportError: libnvcomp.so: cannot open shared object file: No such file or directory HOT 1
- Conda package isn't build with GDS support! HOT 6
- MacOS doesn't have O_DIRECT, so I commented out this line in cpp/include/kvikio/file_handle.hpp:
- [FEA]: Add NVTX annotations to public kvikio functions
- Incompatibility with ARM HOT 4
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