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@@ -23,9 +23,6 @@ manylinux="manylinux_${manylinux_version}" | |
RAPIDS_PY_WHEEL_NAME="cudf_${manylinux}_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./local-cudf-dep | ||
python -m pip install --no-deps ./local-cudf-dep/cudf*.whl | ||
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# Always install latest dask for testing | ||
python -m pip install git+https://github.com/dask/dask.git@main git+https://github.com/dask/distributed.git@main git+https://github.com/rapidsai/[email protected] | ||
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# echo to expand wildcard before adding `[extra]` requires for pip | ||
python -m pip install $(echo ./dist/dask_cudf*.whl)[test] | ||
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Original file line number | Diff line number | Diff line change |
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@@ -1,16 +1,3 @@ | ||
# Copyright (c) 2020-2023, NVIDIA CORPORATION. | ||
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# This assumes the script is executed from the root of the repo directory | ||
# Need to set CUDA_HOME inside conda environments because the hacked together | ||
# setup.py for cudf-kafka searches that way. | ||
# TODO: Remove after https://github.com/rapidsai/cudf/pull/14292 updates | ||
# cudf_kafka to use scikit-build | ||
CUDA_MAJOR=${RAPIDS_CUDA_VERSION%%.*} | ||
if [[ ${CUDA_MAJOR} == "12" ]]; then | ||
target_name="x86_64-linux" | ||
if [[ ! $(arch) == "x86_64" ]]; then | ||
target_name="sbsa-linux" | ||
fi | ||
export CUDA_HOME="${PREFIX}/targets/${target_name}/" | ||
fi | ||
./build.sh -v cudf_kafka |
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@@ -9,3 +9,9 @@ sysroot_version: | |
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cmake_version: | ||
- ">=3.26.4" | ||
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cuda_compiler: | ||
- cuda-nvcc | ||
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cuda11_compiler: | ||
- nvcc |
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@@ -38,7 +38,7 @@ spdlog_version: | |
- ">=1.11.0,<1.12" | ||
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nvcomp_version: | ||
- "=2.6.1" | ||
- "=3.0.4" | ||
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zlib_version: | ||
- ">=1.2.13" | ||
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