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@ -38,10 +38,10 @@ will be logged in real-time, alongside your TensorBoard and matplotlib.
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### Launching a job from a repository
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We will be launching this [script](https://github.com/allegroai/trains/blob/master/examples/frameworks/scikit-learn/sklearn_matplotlib_example.py) on a remote machine. The following are the command-line options we will be using:
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- First, we have to give the experiment a name and select a project (`--project examples --name remote_test`)
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- Then, we select the repository with our code. If we do not specify branch / commit, it will take the latest commit
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from the master branch (`--repo https://github.com/allegroai/clearml.git`)
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- Lastly, we need to specify which script in the repository needs to be run (`--script examples/frameworks/scikit-learn/sklearn_matplotlib_example.py`)
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1. Give the experiment a name and select a project, for example: `--project examples --name remote_test`
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2. Select the repository with our code. If we do not specify branch / commit, it will take the latest commit
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from the master branch, for example: `--repo https://github.com/allegroai/clearml.git`
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3. Specify which script in the repository needs to be run, for example: `--script examples/frameworks/scikit-learn/sklearn_matplotlib_example.py`
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Notice that by default, the execution working directory will be the root of the repository. If we need to change it, add `--cwd <folder>`
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If we additionally need to pass an argument to our scripts, use the `--args` switch.
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@ -81,11 +81,11 @@ clearml-task --help
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```
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``` console
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ClearML launch - launch any codebase on remote machines running clearml-agent
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ClearML launch - launch any codebase on remote machine running clearml-agent
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optional arguments:
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-h, --help show this help message and exit
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--version Display the Allegro.ai utility version
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--version Display the clearml-task utility version
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--project PROJECT Required: set the project name for the task. If
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--base-task-id is used, this arguments is optional.
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--name NAME Required: select a name for the remote task
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@ -125,12 +125,17 @@ optional arguments:
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Manually specify a list of required packages. Example:
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--packages "tqdm>=2.1" "scikit-learn"
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--docker DOCKER Select the docker image to use in the remote session
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--task-type TASK_TYPE
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Set the Task type, optional values: training, testing,
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inference, data_processing, application, monitor,
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controller, optimizer, service, qc, custom
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--skip-task-init If set, Task.init() call is not added to the entry
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point, and is assumed to be called in within the
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script. Default: add Task.init() call entry point
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script
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--base-task-id BASE_TASK_ID
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Use a pre-existing task in the system, instead of a local repo/script.
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Essentially clones an existing task and overrides arguments/requirements.
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Use a pre-existing task in the system, instead of a
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local repo/script. Essentially clones an existing task
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and overrides arguments/requirements.
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```
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