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docs/guides/clearml_agent/exp_environment_containers.md
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@@ -1,5 +1,5 @@
---
title: Experiment Environment Containers
title: Task Environment Containers
---
This tutorial demonstrates using [`clearml-agent`](../../clearml_agent.md)'s [`build`](../../clearml_agent/clearml_agent_ref.md#build)
@@ -14,15 +14,15 @@ be used when running optimization tasks.
* [`clearml`](../../getting_started/ds/ds_first_steps.md#install-clearml) installed and configured
* [clearml](https://github.com/allegroai/clearml) repo cloned (`git clone https://github.com/allegroai/clearml.git`)
## Creating the ClearML Experiment
1. Set up the experiment's execution environment:
## Creating the ClearML Task
1. Set up the task's execution environment:
```console
cd clearml/examples/frameworks/keras
pip install -r requirements.txt
```
1. Run the experiment:
1. Run the task:
```console
python keras_tensorboard.py
@@ -57,15 +57,15 @@ sha256:460453b93ct1989fd1c6637c236e544031c4d378581433fc0b961103ce206af1
```
## Using the New Docker Container
Make use of the container you've just built by having a ClearML agent make use of it for executing a new experiment:
Make use of the container you've just built by having a ClearML agent make use of it for executing a new task:
1. In the [ClearML Web UI](../../webapp/webapp_overview.md), go to the "examples" project, "Keras with TensorBoard
example" task (the one executed [above](#creating-the-clearml-experiment)).
1. [Clone](../../webapp/webapp_exp_reproducing.md) the experiment.
1. In the cloned experiment, go to the **EXECUTION** tab **>** **CONTAINER** section. Under **IMAGE**, insert the name
of the new Docker image, `new_docker`. See [Tuning Experiments](../../webapp/webapp_exp_tuning.md) for more task
example" task (the one executed [above](#creating-the-clearml-task)).
1. [Clone](../../webapp/webapp_exp_reproducing.md) the task.
1. In the cloned task, go to the **EXECUTION** tab **>** **CONTAINER** section. Under **IMAGE**, insert the name
of the new Docker image, `new_docker`. See [Tuning Tasks](../../webapp/webapp_exp_tuning.md) for more task
modification options.
1. Enqueue the cloned experiment to the `default` queue.
1. Enqueue the cloned task to the `default` queue.
1. Launch a `clearml-agent` in [Docker Mode](../../clearml_agent/clearml_agent_execution_env.md#docker-mode) and assign it to the `default` queue:
```console
clearml-agent daemon --docker --queue default