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Use Numba Config to turn on Pynvjitlink Features #17628

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Use Numba Config to turn on Pynvjitlink Features #17628

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5468916
use numba config to turn on pynvjitlink
isVoid Dec 19, 2024
ee81c94
bump numba-cuda version pinnings
isVoid Dec 20, 2024
c15653b
pin latest numba-cuda version to 0.2.0
isVoid Dec 23, 2024
4b50a89
modify meta.yaml
isVoid Dec 23, 2024
f8325f4
Merge branch 'branch-25.02' into imprv-numba_cuda_bump
pentschev Dec 23, 2024
4bfbfb0
pin upper bound of numba-cuda
isVoid Dec 25, 2024
897ad57
Merge branch 'imprv-numba_cuda_bump' of github.com:isVoid/cudf into i…
isVoid Dec 25, 2024
10a2719
Merge branch 'branch-25.02' into imprv-numba_cuda_bump
isVoid Dec 25, 2024
0533b19
Merge branch 'branch-25.02' into imprv-numba_cuda_bump
isVoid Dec 31, 2024
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2 changes: 1 addition & 1 deletion conda/environments/all_cuda-118_arch-x86_64.yaml
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Expand Up @@ -55,7 +55,7 @@ dependencies:
- nbsphinx
- ninja
- notebook
- numba-cuda>=0.0.13,<0.0.18
- numba-cuda>=0.2.0
- numpy>=1.23,<3.0a0
- numpydoc
- nvcc_linux-64=11.8
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2 changes: 1 addition & 1 deletion conda/environments/all_cuda-125_arch-x86_64.yaml
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Expand Up @@ -54,7 +54,7 @@ dependencies:
- nbsphinx
- ninja
- notebook
- numba-cuda>=0.0.13,<0.0.18
- numba-cuda>=0.2.0
- numpy>=1.23,<3.0a0
- numpydoc
- nvcomp==4.1.0.6
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2 changes: 1 addition & 1 deletion conda/recipes/cudf/meta.yaml
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Expand Up @@ -80,7 +80,7 @@ requirements:
- typing_extensions >=4.0.0
- pandas >=2.0,<2.2.4dev0
- cupy >=12.0.0
- numba-cuda >=0.0.13,<0.0.18
- numba-cuda >=0.2.0
- numpy >=1.23,<3.0a0
- pyarrow>=14.0.0,<18.0.0a0
- libcudf ={{ version }}
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4 changes: 2 additions & 2 deletions dependencies.yaml
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Expand Up @@ -688,7 +688,7 @@ dependencies:
- output_types: [conda, requirements, pyproject]
packages:
- cachetools
- &numba-cuda-dep numba-cuda>=0.0.13,<0.0.18
- &numba-cuda-dep numba-cuda>=0.2.0
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We may want to keep an upper bound here. Numba-cuda is not stable yet, afaik.

- nvtx>=0.2.1
- packaging
- rich
Expand Down Expand Up @@ -814,7 +814,7 @@ dependencies:
- pandas==2.0.*
- matrix: {dependencies: "latest"}
packages:
- numba-cuda==0.0.15
- numba-cuda==0.2.0
- pandas==2.2.3
- matrix:
packages:
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4 changes: 1 addition & 3 deletions python/cudf/cudf/utils/_numba.py
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Expand Up @@ -130,9 +130,7 @@ def _setup_numba():
if driver_version < (12, 0):
patch_numba_linker_cuda_11()
else:
from pynvjitlink.patch import patch_numba_linker

patch_numba_linker()
numba_config.CUDA_ENABLE_PYNVJITLINK = True


class _CUDFNumbaConfig:
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2 changes: 1 addition & 1 deletion python/cudf/pyproject.toml
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Expand Up @@ -24,7 +24,7 @@ dependencies = [
"cupy-cuda11x>=12.0.0",
"fsspec>=0.6.0",
"libcudf==25.2.*,>=0.0.0a0",
"numba-cuda>=0.0.13,<0.0.18",
"numba-cuda>=0.2.0",
"numpy>=1.23,<3.0a0",
"nvtx>=0.2.1",
"packaging",
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2 changes: 1 addition & 1 deletion python/dask_cudf/pyproject.toml
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Expand Up @@ -47,7 +47,7 @@ cudf = "dask_cudf.backends:CudfDXBackendEntrypoint"
[project.optional-dependencies]
test = [
"dask-cuda==25.2.*,>=0.0.0a0",
"numba-cuda>=0.0.13,<0.0.18",
"numba-cuda>=0.2.0",
"pytest-cov",
"pytest-xdist",
"pytest<8",
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