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@@ -16,7 +16,9 @@ example script.
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In the `examples/frameworks/pytorch` directory, run the experiment script:
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python pytorch_mnist.py
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```commandline
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python pytorch_mnist.py
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```
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## Step 2: Clone the Experiment
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@@ -42,15 +44,12 @@ To demonstrate tuning, change two hyperparameter values.
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## Step 4: Run a Worker Daemon Listening to a Queue
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To execute the cloned experiment, use a worker that can run a worker daemon listening to a queue.
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To execute the cloned experiment, use a [ClearML Agent](../../fundamentals/agents_and_queues.md).
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:::note
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For more information about workers, worker daemons, and queues, see [Agents and queues](../../fundamentals/agents_and_queues.md).
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:::
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Run the worker daemon on the local development machine.
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Run the agent on the local development machine:
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1. Open a terminal session.
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1. Run the following `clearml-agent` command which runs a worker daemon listening to the `default` queue:
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```
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clearml-agent daemon --queue default
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```
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@@ -119,5 +118,4 @@ To compare the original and tuned experiments:
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## Next Steps
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* For more information about editing experiments, see [modify experiments](../../webapp/webapp_exp_tuning.md#modifying-experiments)
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in the User Interface section.
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* For more information about editing experiments, see [modifying experiments](../../webapp/webapp_exp_tuning.md#modifying-experiments).
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