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Small updates (#179)
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---
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title: Model Updating
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title: PyTorch Model Updating
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---
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The [model_update_pytorch.py](https://github.com/allegroai/clearml/blob/master/examples/reporting/model_update_pytorch.py)
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example demonstrates training a model and logging it using the [OutputModel](../../references/sdk/model_outputmodel.md)
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The [pytorch_model_update.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/pytorch/pytorch_model_update.py)
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example demonstrates training a model and logging it using the [OutputModel](../../../references/sdk/model_outputmodel.md)
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class.
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The example does the following:
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@ -13,7 +13,7 @@ The example does the following:
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:::note Disabling automatic framework logging
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This example disables the default automatic capturing of PyTorch outputs, to demonstrate how to manually control what is
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logged from PyTorch. See [this FAQ](../../faq.md#controlling_logging) for more information.
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logged from PyTorch. See [this FAQ](../../../faq.md#controlling_logging) for more information.
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:::
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## Initialization
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@ -32,9 +32,9 @@ output_model = OutputModel(task=task)
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```
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## Label Enumeration
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The label enumeration dictionary is logged using the [`Task.connect_label_enumeration`](../../references/sdk/task.md#connect_label_enumeration)
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The label enumeration dictionary is logged using the [`Task.connect_label_enumeration`](../../../references/sdk/task.md#connect_label_enumeration)
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method which will update the task’s resulting model information. The current running task is accessed using the
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[`Task.current_task`](../../references/sdk/task.md#taskcurrent_task) class method.
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[`Task.current_task`](../../../references/sdk/task.md#taskcurrent_task) class method.
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```python
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# store the label enumeration of the training model
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@ -44,13 +44,13 @@ Task.current_task().connect_label_enumeration(enumeration)
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```
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:::note Directly Setting Model Enumeration
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You can set a model’s label enumeration directly using the [`OutputModel.update_labels`](../../references/sdk/model_outputmodel.md#update_labels)
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You can set a model’s label enumeration directly using the [`OutputModel.update_labels`](../../../references/sdk/model_outputmodel.md#update_labels)
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method
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:::
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## Model Configuration
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Add a configuration dictionary to the model using the [`OutputModel.update_design`](../../references/sdk/model_outputmodel.md#update_design)
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Add a configuration dictionary to the model using the [`OutputModel.update_design`](../../../references/sdk/model_outputmodel.md#update_design)
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method.
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```python
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@ -67,8 +67,8 @@ model.update_design(config_dict=model_config_dict)
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```
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## Updating Models
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To update a model, use the [OutputModel.update_weights](../../references/sdk/model_outputmodel.md#update_weights) method.
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This uploads the model to the set storage destination (see [Setting Upload Destination](../../fundamentals/artifacts.md#setting-upload-destination)),
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To update a model, use the [OutputModel.update_weights](../../../references/sdk/model_outputmodel.md#update_weights) method.
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This uploads the model to the set storage destination (see [Setting Upload Destination](../../../fundamentals/artifacts.md#setting-upload-destination)),
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and registers that location to the task as the output model.
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```python
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@ -83,17 +83,18 @@ if CONDITION:
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## WebApp
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The model appears in the task’s **ARTIFACTS** tab.
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Clicking on the model name takes you to the [model’s page](../../webapp/webapp_model_viewing.md), where you can view the
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Clicking on the model name takes you to the [model’s page](../../../webapp/webapp_model_viewing.md), where you can view the
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model’s details and access the model.
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The model’s **NETWORK** tab displays its configuration.
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The model’s **LABELS** tab displays its label enumeration.
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@ -54,3 +54,7 @@ The model’s **LABELS** tab displays its label enumeration.
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## Additional Example
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See [PyTorch Model Updating](../frameworks/pytorch/model_updating.md) for a more robust example, which trains a model,
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and then logs it with OutputModel.
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@ -18,7 +18,7 @@ Use the `build` subcommand to create a worker environment without executing the
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```bash
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clearml-agent build [-h] --id TASK_ID [--target TARGET]
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[--install-globally]
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[--docker [DOCKER [DOCKER ...]]]
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[--docker [DOCKER [DOCKER ...]]] [--force-docker]
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[--python-version PYTHON_VERSION]
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[--entry-point {reuse_task,clone_task}] [-O]
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[--git-user GIT_USER] [--git-pass GIT_PASS]
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@ -73,6 +73,15 @@ clearml-agent build [-h] --id TASK_ID [--target TARGET]
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---
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**`force-docker`**
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* Force using the agent-specified docker image (either explicitly in the `--docker` argument or using the agent's
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default docker image). If provided, the agent will not use any docker container information stored in the task itself
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(default `False`)
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---
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**`git-pass`**
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* Git password for repository access.
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@ -80,7 +80,7 @@ module.exports = {
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[
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'guides/frameworks/pytorch/pytorch_distributed_example', 'guides/frameworks/pytorch/pytorch_matplotlib',
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'guides/frameworks/pytorch/pytorch_mnist', 'guides/frameworks/pytorch/pytorch_tensorboard','guides/frameworks/pytorch/tensorboard_toy_pytorch',
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'guides/frameworks/pytorch/pytorch_tensorboardx', 'guides/frameworks/pytorch/pytorch_abseil',
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'guides/frameworks/pytorch/pytorch_tensorboardx', 'guides/frameworks/pytorch/pytorch_abseil', 'guides/frameworks/pytorch/model_updating',
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{'PyTorch Notebooks': [
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{'Audio': ['guides/frameworks/pytorch/notebooks/audio/audio_classification_UrbanSound8K', 'guides/frameworks/pytorch/notebooks/audio/audio_preprocessing_example']},
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{'Image': ['guides/frameworks/pytorch/notebooks/image/hyperparameter_search', 'guides/frameworks/pytorch/notebooks/image/image_classification_CIFAR10']},
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@ -106,7 +106,7 @@ module.exports = {
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{'Reporting': ['guides/reporting/explicit_reporting','guides/reporting/3d_plots_reporting', 'guides/reporting/artifacts', 'guides/reporting/using_artifacts', 'guides/reporting/clearml_logging_example', 'guides/reporting/html_reporting',
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'guides/reporting/hyper_parameters', 'guides/reporting/image_reporting', 'guides/reporting/manual_matplotlib_reporting', 'guides/reporting/media_reporting',
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'guides/reporting/model_config', 'guides/reporting/model_updating', 'guides/reporting/pandas_reporting', 'guides/reporting/plotly_reporting',
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'guides/reporting/model_config', 'guides/reporting/pandas_reporting', 'guides/reporting/plotly_reporting',
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'guides/reporting/scalar_reporting', 'guides/reporting/scatter_hist_confusion_mat_reporting', 'guides/reporting/text_reporting']},
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{'Services': ['guides/services/aws_autoscaler', 'guides/services/cleanup_service', 'guides/services/slack_alerts']},
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{'Storage': ['guides/storage/examples_storagehelper']},
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