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images: set 0.24.1 tag for release
Signed-off-by: Mikko Ylinen <[email protected]>
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Jenkinsfile

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@@ -151,7 +151,7 @@ pipeline {
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stage('make test-with-kind') {
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steps {
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dir(path: "$REPO_DIR") {
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sh "make test-with-kind REG=intel/ TAG=0.24.0"
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sh "make test-with-kind REG=intel/ TAG=0.24.1"
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}
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}
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}

Makefile

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@@ -135,7 +135,7 @@ clean:
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ORG?=intel
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REG?=$(ORG)/
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TAG?=0.24.0
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TAG?=0.24.1
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export TAG
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e2e-fpga:

README.md

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build/docker/intel-deviceplugin-operator.Dockerfile

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@@ -49,7 +49,7 @@ FROM ${FINAL_BASE}
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LABEL name='intel-deviceplugin-operator'
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LABEL vendor='Intel®'
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LABEL version=0.24.0
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LABEL version=0.24.1
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LABEL release='1'
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LABEL summary='Intel® device plugin operator for Kubernetes'
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LABEL description='To simplify the deployment of the device plugins, a unified device plugins operator is implemented. Currently the operator has support for the QAT, GPU, FPGA, SGX, DSA and DLB device plugins. Each device plugin has its own custom resource definition (CRD) and the corresponding controller that watches CRUD operations to those custom resources.'

build/docker/intel-dlb-plugin.Dockerfile

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LABEL name='intel-dlb-plugin'
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LABEL vendor='Intel®'
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LABEL version=0.24.0
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LABEL version=0.24.1
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LABEL release='1'
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LABEL summary='Intel® DLB device plugin for Kubernetes'
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LABEL description='The DLB device plugin supports Intel Dynamic Load Balancer accelerator(DLB)'

build/docker/intel-dsa-plugin.Dockerfile

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LABEL name='intel-dsa-plugin'
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LABEL vendor='Intel®'
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LABEL version=0.24.0
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LABEL version=0.24.1
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LABEL release='1'
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LABEL summary='Intel® DSA device plugin for Kubernetes'
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LABEL description='The DSA device plugin supports acceleration using the Intel Data Streaming accelerator(DSA)'

build/docker/intel-fpga-admissionwebhook.Dockerfile

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LABEL name='intel-fpga-admissionwebhook'
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LABEL vendor='Intel®'
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LABEL version=0.24.0
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LABEL version=0.24.1
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LABEL release='1'
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LABEL summary='Intel® FPGA admission controller webhook for Kubernetes'
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LABEL description='The FPGA admission controller webhook is responsible for performing mapping from user-friendly function IDs to the Interface ID and Bitstream ID that are required for FPGA programming. It also implements access control by namespacing FPGA configuration information'

build/docker/intel-fpga-initcontainer.Dockerfile

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LABEL name='intel-fpga-initcontainer'
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LABEL vendor='Intel®'
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LABEL version=0.24.0
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LABEL version=0.24.1
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LABEL release='1'
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LABEL summary='Intel® FPGA programming CRI hook for Kubernetes'
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LABEL description='The FPGA prestart CRI-O hook performs discovery of the requested FPGA function bitstream and programs FPGA devices based on the environment variables in the workload description'

build/docker/intel-fpga-plugin.Dockerfile

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LABEL name='intel-fpga-plugin'
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LABEL vendor='Intel®'
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LABEL version=0.24.0
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LABEL version=0.24.1
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LABEL release='1'
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LABEL summary='Intel® FPGA device plugin for Kubernetes'
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LABEL description='The FPGA device plugin is responsible for discovering and reporting FPGA devices to kubelet'

build/docker/intel-gpu-initcontainer.Dockerfile

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LABEL name='intel-gpu-initcontainer'
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LABEL vendor='Intel®'
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LABEL version=0.24.0
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LABEL version=0.24.1
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LABEL release='1'
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LABEL summary='Intel® GPU NFD hook for Kubernetes'
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LABEL description='The GPU fractional resources, such as GPU memory is registered as a kubernetes extended resource using node-feature-discovery (NFD). A custom NFD source hook is installed as part of GPU device plugin operator deployment and NFD is configured to register the GPU memory extended resource reported by the hook'

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