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https://github.com/clearml/clearml-agent
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Adjust docker image versions in a couple more places
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README.md
14
README.md
@ -230,20 +230,20 @@ Notice: with `--detached` flag, the *clearml-agent* will run in the background
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clearml-agent daemon --detached --queue default --docker
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```
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Example: spin two agents, one per gpu on the same machine, with default `nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04`
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Example: spin two agents, one per gpu on the same machine, with default `nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04`
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docker:
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```bash
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clearml-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
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clearml-agent daemon --detached --gpus 1 --queue default --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
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clearml-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04
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clearml-agent daemon --detached --gpus 1 --queue default --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04
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```
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Example: spin two agents, pulling from dedicated `dual_gpu` queue, two GPUs per agent, with default
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`nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04` docker:
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`nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04` docker:
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```bash
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clearml-agent daemon --detached --gpus 0,1 --queue dual_gpu --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
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clearml-agent daemon --detached --gpus 2,3 --queue dual_gpu --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
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clearml-agent daemon --detached --gpus 0,1 --queue dual_gpu --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04
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clearml-agent daemon --detached --gpus 2,3 --queue dual_gpu --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04
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```
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##### Starting the ClearML Agent - Priority Queues
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@ -268,7 +268,7 @@ To stop a **ClearML Agent** running in the background, run the same command line
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appended. For example, to stop the first of the above shown same machine, single gpu agents:
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```bash
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clearml-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04 --stop
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clearml-agent daemon --detached --gpus 0 --queue default --docker nvidia/cuda:11.0.3-cudnn8-runtime-ubuntu20.04 --stop
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```
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### How do I create an experiment on the ClearML Server? <a name="from-scratch"></a>
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@ -491,8 +491,8 @@ sdk {
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# target_format: format used to encode contents before writing into the target file. Supported values are json,
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# yaml, yml and bytes (in which case the file will be written in binary mode). Default is text mode.
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# overwrite: overwrite the target file in case it exists. Default is true.
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# mode: set the file mode after writing. use an integer value or a string (e.g. 600 / 777 etc.)
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#
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# mode: file-system mode to be applied to the file after its creation. The mode string will be parsed into an
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# integer (e.g. "0o777" for -rwxrwxrwx)
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# Example:
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# files {
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# myfile1 {
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