Fix k8s tutorial style (#7363)
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1 changed files with 19 additions and 19 deletions
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@ -303,19 +303,19 @@ conda pack -o environment.tar.gz
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* On the __Develop Node__:
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1. Upload the conda archive to NFS.
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```bash
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docker cp <containerID>:/path/to/environment.tar.gz /bigdl/nfsdata
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```
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```bash
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docker cp <containerID>:/path/to/environment.tar.gz /bigdl/nfsdata
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```
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2. Upload the example Python file to NFS.
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```bash
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cp /path/to/train.py /bigdl/nfsdata
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```
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```bash
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cp /path/to/train.py /bigdl/nfsdata
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```
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3. Upload the extra Python dependency files to NFS.
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```bash
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cp /path/to/model.py /bigdl/nfsdata
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```
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```bash
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cp /path/to/model.py /bigdl/nfsdata
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```
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Run the example with the following command by setting the cluster_mode to “k8s-cluster”:
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Run the example with the following command by setting the cluster_mode to "k8s-cluster":
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```bash
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python /bigdl/nfsdata/train.py --cluster_mode k8s-cluster --remote_dir /bigdl/nfsdata/dataset
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```
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@ -393,17 +393,17 @@ In the `spark-submit` script:
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* On the __Develop Node__:
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1. Upload the conda archive to NFS.
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```bash
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docker cp <containerID>:/path/to/environment.tar.gz /bigdl/nfsdata
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```
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```bash
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docker cp <containerID>:/path/to/environment.tar.gz /bigdl/nfsdata
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```
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2. Upload the example Python file to NFS.
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```bash
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cp /path/to/train.py /bigdl/nfsdata
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```
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```bash
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cp /path/to/train.py /bigdl/nfsdata
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```
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3. Upload the extra Python dependency files to NFS.
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```bash
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cp /path/to/model.py /bigdl/nfsdata
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```
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```bash
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cp /path/to/model.py /bigdl/nfsdata
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```
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Submit and run the program for `k8s-cluster` mode following the `spark-submit` script below:
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```bash
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