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1e77594958
Packaged the script as a docker container stored in gcr.io/google-containers A daemonset deployment is included to make it easy to consume the installer A cluster e2e has been added to test the installation daemonset along with verifying installation by using a sample CUDA application. Node e2e for GPUs updated to avoid running on nodes without GPU devices. Signed-off-by: Vishnu kannan <vishnuk@google.com>
24 lines
848 B
Docker
24 lines
848 B
Docker
# Copyright 2017 The Kubernetes Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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FROM nvidia/cuda:8.0-devel-ubuntu16.04
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RUN apt-get update && apt-get install -y --no-install-recommends \
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cuda-samples-$CUDA_PKG_VERSION && \
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rm -rf /var/lib/apt/lists/*
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WORKDIR /usr/local/cuda/samples/0_Simple/vectorAdd
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RUN make
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CMD ./vectorAdd |