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Removed the incomplete vectorize decorator from numba-dpex #1298

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merged 1 commit into from
Jan 29, 2024
Merged

Removed the incomplete vectorize decorator from numba-dpex #1298

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2 changes: 1 addition & 1 deletion .github/workflows/conda-package.yml
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Expand Up @@ -225,7 +225,7 @@ jobs:
shell: bash -l {0}
run: |
cd ${{ env.EXAMPLES_PATH }}
for script in $(find . \( -not -name "_*" -not -name "side-by-side*" -not -name "vectorize.py" -not -name "scan.py" -and -name "*.py" \))
for script in $(find . \( -not -name "_*" -not -name "side-by-side*" -not -name "scan.py" -and -name "*.py" \))
do
echo "Executing ${script}"
python ${script} || exit 1
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4 changes: 0 additions & 4 deletions numba_dpex/__init__.py
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Expand Up @@ -15,10 +15,8 @@
import dpctl
import llvmlite.binding as ll
from numba import __version__ as numba_version
from numba.np.ufunc.decorators import Vectorize

from numba_dpex.core.kernel_interface.launcher import call_kernel
from numba_dpex.vectorizers import Vectorize as DpexVectorize

from .numba_patches import patch_arrayexpr_tree_to_ir, patch_is_ufunc

Expand Down Expand Up @@ -135,8 +133,6 @@ def parse_sem_version(version_string: str) -> Tuple[int, int, int]:
del load_dpctl_sycl_interface


Vectorize.target_registry.ondemand["dpex"] = lambda: DpexVectorize

from numba_dpex._version import get_versions # noqa E402

__version__ = get_versions()["version"]
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66 changes: 0 additions & 66 deletions numba_dpex/examples/vectorize.py
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65 changes: 0 additions & 65 deletions numba_dpex/tests/test_vectorize.py
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207 changes: 0 additions & 207 deletions numba_dpex/vectorizers.py
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1 change: 0 additions & 1 deletion scripts/run_examples.sh
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Expand Up @@ -25,7 +25,6 @@ run_checks() {
check numba_dpex/examples/sum_reduction.py
check numba_dpex/examples/sum_reduction_recursive_ocl.py
# check numba_dpex/examples/usm_ndarray.py # See https://github.com/IntelPython/numba-dpex/issues/436
check numba_dpex/examples/vectorize.py

check numba_dpex/examples/auto_offload_examples/sum-1d.py
check numba_dpex/examples/auto_offload_examples/sum-2d.py
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