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This repository was archived by the owner on Mar 6, 2024. It is now read-only.
@@ -310,7 +310,7 @@ After completing the installation, users can write a YAML file of Kubernetes to
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| bitfusion.io/gpu-percent | positive integer |Percentage of the memory of each GPU|
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| bitfusion.io/gpu-memory | positive integer |Memory size of each GPU,The default unit is bit.It can be used with the K8s native memory application unit (Mi,M,G,Gi)|
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| bitfusion-client/os | ubuntu18 / ubuntu20 / centos7 / centos8 |The OS of the containers that use the Bitfusion client|
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| bitfusion-client/version |350/401 |The version of Bitfusion client to be used in this container is 3.5 or 4.0.1|
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| bitfusion-client/version | 401/450|The version of Bitfusion client to be used in this container is 3.5 or 4.0.1|
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Below is a sample YAML of Pod which runs a benchmark of Tensorflow. The variable `hostPath` is the directory where the Tensorflow Benchmarks code resides on the host and it will be mounted into the pod.
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annotations:
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auto-management/bitfusion: "all"
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bitfusion-client/os: "ubuntu18"
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bitfusion-client/version: "401"
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bitfusion-client/version: "450"
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name: bf-pkgs
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# You can specify any namespace
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namespace: tensorflow-benchmark
@@ -376,7 +376,7 @@ metadata:
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annotations:
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auto-management/bitfusion: "all"
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bitfusion-client/os: "ubuntu18"
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bitfusion-client/version: "401"
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bitfusion-client/version: "450"
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name: bf-pkgs
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# You can specify any namespace
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namespace: tensorflow-benchmark
@@ -500,7 +500,7 @@ total images/sec: 199.65
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### 4.3. The configuration of "auto-management/bitfusion parameter"
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If the value of auto-management/bitfusion parameter is set to "all", use the following command to to check the status of the pod when the workload has been summited.
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If the value of auto-management/bitfusion parameter is set to "all", use the following command to to check the status of the pod when the workload has been submitted.
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```bash
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$ kubectl edit pod -n tensorflow-benchmark bf-pkgs
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