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2025-03-11 07:16:10 +02:00
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4
docs/integrations/autokeras.md
View File

@@ -77,7 +77,7 @@ See more information about explicitly logging information to a ClearML Task:
See [Explicit Reporting Tutorial](../guides/reporting/explicit_reporting.md).
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is enqueued,
the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.
@@ -93,7 +93,7 @@ Use the ClearML [Autoscalers](../cloud_autoscaling/autoscaling_overview.md) to h
cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents: the autoscaler automatically spins up
and shuts down instances as needed, according to a resource budget that you set.
### Reproducing Tasks
### Reproducing Task Runs
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif#light-mode-only)
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5_dark.gif#dark-mode-only)

4
docs/integrations/catboost.md
View File

@@ -75,7 +75,7 @@ See more information about explicitly logging information to a ClearML Task:
See [Explicit Reporting Tutorial](../guides/reporting/explicit_reporting.md).
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is enqueued,
the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.
@@ -91,7 +91,7 @@ Use the ClearML [Autoscalers](../cloud_autoscaling/autoscaling_overview.md) to h
cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents: the autoscaler automatically spins up
and shuts down instances as needed, according to a resource budget that you set.
### Reproducing Tasks
### Reproducing Task Runs
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif#light-mode-only)
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5_dark.gif#dark-mode-only)

4
docs/integrations/fastai.md
View File

@@ -74,7 +74,7 @@ See more information about explicitly logging information to a ClearML Task:
See [Explicit Reporting Tutorial](../guides/reporting/explicit_reporting.md).
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is enqueued,
the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.
@@ -90,7 +90,7 @@ Use the ClearML [Autoscalers](../cloud_autoscaling/autoscaling_overview.md) to h
cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents: the autoscaler automatically spins up
and shuts down instances as needed, according to a resource budget that you set.
### Reproducing Tasks
### Reproducing Task Runs
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif#light-mode-only)
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5_dark.gif#dark-mode-only)

4
docs/integrations/keras.md
View File

@@ -87,7 +87,7 @@ and debug samples, plots, and scalars logged to TensorBoard
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is enqueued,
the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.
@@ -103,7 +103,7 @@ Use the ClearML [Autoscalers](../cloud_autoscaling/autoscaling_overview.md) to h
cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents: the autoscaler automatically spins up
and shuts down instances as needed, according to a resource budget that you set.
### Reproducing Tasks
### Reproducing Task Runs
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif#light-mode-only)
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5_dark.gif#dark-mode-only)

4
docs/integrations/lightgbm.md
View File

@@ -76,7 +76,7 @@ See more information about explicitly logging information to a ClearML Task:
See [Explicit Reporting Tutorial](../guides/reporting/explicit_reporting.md).
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is enqueued,
the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.
@@ -92,7 +92,7 @@ Use the ClearML [Autoscalers](../cloud_autoscaling/autoscaling_overview.md) to h
cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents: the autoscaler automatically spins up
and shuts down instances as needed, according to a resource budget that you set.
### Reproducing Tasks
### Reproducing Task Runs
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif#light-mode-only)
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5_dark.gif#dark-mode-only)

4
docs/integrations/megengine.md
View File

@@ -72,7 +72,7 @@ See more information about explicitly logging information to a ClearML Task:
See [Explicit Reporting Tutorial](../guides/reporting/explicit_reporting.md).
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is enqueued,
the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.
@@ -88,7 +88,7 @@ Use the ClearML [Autoscalers](../cloud_autoscaling/autoscaling_overview.md) to h
cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents: the autoscaler automatically spins up
and shuts down instances as needed, according to a resource budget that you set.
### Reproducing Tasks
### Reproducing Task Runs
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif#light-mode-only)
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5_dark.gif#dark-mode-only)

4
docs/integrations/pytorch.md
View File

@@ -96,7 +96,7 @@ additional tools, like argparse, TensorBoard, and matplotlib:
* [PyTorch Distributed](../guides/frameworks/pytorch/pytorch_distributed_example.md) - Demonstrates using ClearML with the [PyTorch Distributed Communications Package (`torch.distributed`)](https://pytorch.org/tutorials/beginner/dist_overview.html)
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is enqueued,
the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.
@@ -112,7 +112,7 @@ Use the ClearML [Autoscalers](../cloud_autoscaling/autoscaling_overview.md) to h
cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents: the autoscaler automatically spins up
and shuts down instances as needed, according to a resource budget that you set.
### Reproducing Tasks
### Reproducing Task Runs
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif#light-mode-only)
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5_dark.gif#dark-mode-only)

4
docs/integrations/pytorch_lightning.md
View File

@@ -102,7 +102,7 @@ See more information about explicitly logging information to a ClearML Task:
See [Explicit Reporting Tutorial](../guides/reporting/explicit_reporting.md).
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is enqueued,
the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.
@@ -118,7 +118,7 @@ Use the ClearML [Autoscalers](../cloud_autoscaling/autoscaling_overview.md), to
cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents: the autoscaler automatically spins up
and shuts down instances as needed, according to a resource budget that you set.
### Reproducing Tasks
### Reproducing Task Runs
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif#light-mode-only)
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5_dark.gif#dark-mode-only)

4
docs/integrations/scikit_learn.md
View File

@@ -78,7 +78,7 @@ additional tools, like Matplotlib:
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is enqueued,
the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.
@@ -94,7 +94,7 @@ Use the ClearML [Autoscalers](../cloud_autoscaling/autoscaling_overview.md) to h
cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents: the autoscaler automatically spins up
and shuts down instances as needed, according to a resource budget that you set.
### Reproducing Tasks
### Reproducing Task Runs
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif#light-mode-only)
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5_dark.gif#dark-mode-only)

4
docs/integrations/tao.md
View File

@@ -94,7 +94,7 @@ You can view all of this captured information in the [ClearML Web UI](../webapp/
![TAO UI plots](../img/integrations_nvidia_tao_plots.png)
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is
enqueued, the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.
@@ -111,7 +111,7 @@ cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents:
and shuts down instances as needed, according to a resource budget that you set.
### Reproducing Tasks
### Reproducing Task Runs
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif#light-mode-only)
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5_dark.gif#dark-mode-only)

4
docs/integrations/tensorflow.md
View File

@@ -89,7 +89,7 @@ TensorBoard scalars, histograms, images, and text, as well as all console output
ClearML's automatic logging of parameters defined using `absl.flags`
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is enqueued,
the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.
@@ -105,7 +105,7 @@ Use the ClearML [Autoscalers](../cloud_autoscaling/autoscaling_overview.md) to h
cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents: the autoscaler automatically spins up
and shuts down instances as needed, according to a resource budget that you set.
### Reproducing Tasks
### Reproducing Task Runs
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif#light-mode-only)
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5_dark.gif#dark-mode-only)

2
docs/integrations/transformers.md
View File

@@ -60,7 +60,7 @@ You can also select multiple tasks and directly [compare](../webapp/webapp_exp_c
See an example of Transformers and ClearML in action [here](../guides/frameworks/huggingface/transformers.md).
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is
enqueued, the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.

4
docs/integrations/xgboost.md
View File

@@ -102,7 +102,7 @@ additional tools, like Matplotlib and scikit-learn:
* [XGBoost and scikit-learn](../guides/frameworks/xgboost/xgboost_sample.md) - Demonstrates ClearML automatic logging of XGBoost scalars and models
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is enqueued,
the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.
@@ -118,7 +118,7 @@ Use the ClearML [Autoscalers](../cloud_autoscaling/autoscaling_overview.md) to h
cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents: the autoscaler automatically spins up
and shuts down instances as needed, according to a resource budget that you set.
### Reproducing Tasks
### Reproducing Task Runs
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif#light-mode-only)
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5_dark.gif#dark-mode-only)

4
docs/integrations/yolov5.md
View File

@@ -150,7 +150,7 @@ python train.py --img 640 --batch 16 --epochs 3 --data clearml://<your_dataset_i
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is
enqueued, the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.
@@ -167,7 +167,7 @@ cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents:
and shuts down instances as needed, according to a resource budget that you set.
### Reproducing Tasks
### Reproducing Task Runs
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5.gif#light-mode-only)
![Cloning, editing, enqueuing gif](../img/gif/integrations_yolov5_dark.gif#dark-mode-only)

6
docs/integrations/yolov8.md
View File

@@ -95,7 +95,7 @@ Add custom columns to the table, such as mAP values, so you can easily sort and
You can also select multiple tasks and directly [compare](../webapp/webapp_exp_comparing.md) them.
## Remote Execution
ClearML logs all the information required to reproduce a task on a different machine (installed packages,
ClearML logs all the information required to reproduce a task run on a different machine (installed packages,
uncommitted changes etc.). The [ClearML Agent](../clearml_agent.md) listens to designated queues and when a task is
enqueued, the agent pulls it, recreates its execution environment, and runs it, reporting its scalars, plots, etc. to the
task manager.
@@ -112,9 +112,9 @@ cloud of your choice (AWS, GCP, Azure) and automatically deploy ClearML agents:
shuts down instances as needed, according to a resource budget that you set.
### Reproducing Tasks
### Reproducing Task Runs
ClearML logs all the information required to reproduce a task, but you may also want to change a few parameters
ClearML logs all the information required to reproduce a task run, but you may also want to change a few parameters
and task details when you re-run it, which you can do through ClearML's UI.
In order to be able to override parameters via the UI,