Comments (3)
Yes, you can use pip to install RMM:
pip install --extra-index-url https://pypi.nvidia.com rmm-cu11
I see that the RAPIDS website does not include RMM in the list of packages that support pip installs and we will fix that. Thank you for reporting!
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I'm going to transfer this issue to the website repo for better tracking
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Opened rapidsai/rapids.ai#320 to track.
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Related Issues (20)
- [FEA] Expose alignment-explicit allocation routines through cython interface
- Refactor Cython to use resource_ref instead of `device_memory_resource*`
- [BUG] When using `rmm_cupy_allocator` with Cupy, the memory resource is constructed twice. HOT 3
- [FEA] Ensure that Cython wrappers for allocating objects correctly expose and use memory resources HOT 1
- Automate C++ include file grouping and ordering using clang-format
- Automate C++ include file grouping and ordering using clang-format
- Automate C++ include file grouping and ordering using clang-format
- [DOC] Correct active device requirements for deallocation of `device_buffer`, `device_vector` and friends HOT 2
- [FEA] Make `device_vector` safer to use in multi-device setting HOT 2
- [BUG] Conda package for rmm 24.04.00 clobbering files from fmt and spdlog HOT 6
- [BUG] thrust version of `cuda_async_memory_resource` constructor is broken HOT 8
- [FEA] Remove deprecated thrust::optional constructor of cuda_async_memory_resource.
- [FEA] Remove deprecated functions and classes
- Rewrite rmm::polymorphic_allocator to take a cuda::mr::async_resource_ref instead of a device_memory_resource*
- Rewrite rmm::device_check_resource_adaptor to take a cuda::mr::async_resource_ref instead of a device_memory_resource*
- [BUG] Cannot build from source with `pip install` way HOT 4
- [QST]Version matching problem about python3.7+cuda11.6 HOT 1
- [FEA] Remove header existence tests in librmm conda recipe
- [DOC] Example of RMM Python API for DDP distributed training? HOT 6
- Simplify README.md and move detailed docs to user guides
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