SynapseML/tools/init_scripts/init-rapidsml-cuda-11.8.sh

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# Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#!/bin/bash
# IMPORTANT: specify RAPIDS_VERSION fully 23.10.0 and not 23.10
# also in general, RAPIDS_VERSION (python) fields should omit any leading 0 in month/minor field (i.e. 23.8.0 and not 23.08.0)
# while SPARK_RAPIDS_VERSION (jar) should have leading 0 in month/minor (e.g. 23.08.2 and not 23.8.2)
RAPIDS_VERSION=24.4.0
SPARK_RAPIDS_VERSION=23.10.0
SPARK_RAPIDSML_VERSION=24.6.0
curl -L https://repo1.maven.org/maven2/com/nvidia/rapids-4-spark_2.12/${SPARK_RAPIDS_VERSION}/rapids-4-spark_2.12-${SPARK_RAPIDS_VERSION}-cuda11.jar -o /databricks/jars/rapids-4-spark_2.12-${SPARK_RAPIDS_VERSION}.jar
# install cudatoolkit 11.8 via runfile approach
wget https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run
sh cuda_11.8.0_520.61.05_linux.run --silent --toolkit
# reset symlink and update library loading paths
rm /usr/local/cuda
ln -s /usr/local/cuda-11.8 /usr/local/cuda
# upgrade pip
/databricks/python/bin/pip install --upgrade pip
# install cudf, cuml and their rapids dependencies
# using ~= pulls in latest micro version patches
/databricks/python/bin/pip install cudf-cu11~=${RAPIDS_VERSION} \
cuml-cu11~=${RAPIDS_VERSION} \
pylibraft-cu11~=${RAPIDS_VERSION} \
rmm-cu11~=${RAPIDS_VERSION} \
--extra-index-url=https://pypi.nvidia.com
# install model navigator
/databricks/python/bin/pip install --extra-index-url https://pypi.nvidia.com onnxruntime-gpu "tensorrt" "triton-model-navigator==0.10.1" "sentence_transformers~=2.2.2" "urllib3<2"
# install spark-rapids-ml
/databricks/python/bin/pip install spark-rapids-ml~=${SPARK_RAPIDSML_VERSION}