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Use Numba Config to turn on Pynvjitlink Features #17628

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merged 16 commits into from
Jan 9, 2025
Merged

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
e0ad6e2
Merge branch 'branch-25.02' into imprv-numba_cuda_bump
bdice Jan 4, 2025
617ad0c
swap numba-cuda oldest/latest pinnings
isVoid Jan 6, 2025
4aa1217
Merge branch 'imprv-numba_cuda_bump' of github.com:isVoid/cudf into i…
isVoid Jan 6, 2025
5658e42
update copyright years
isVoid Jan 6, 2025
f38088b
force update pyproject toml copyright years
isVoid Jan 6, 2025
fe80670
revert updates to the wrong pyproject toml file, change made to the c…
isVoid Jan 6, 2025
26c038c
Merge branch 'branch-25.02' into imprv-numba_cuda_bump
isVoid Jan 6, 2025
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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
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- 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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