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@@ -3,7 +3,7 @@ title: PyTorch Ignite ClearMLLogger
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---
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The `ignite` repository contains the [mnist_with_clearml_logger.py](https://github.com/pytorch/ignite/blob/master/examples/mnist/mnist_with_clearml_logger.py)
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example script that uses [ignite](https://github.com/pytorch/ignite) and integrates **ClearMLLogger** and its [helper handlers](https://pytorch.org/ignite/generated/ignite.contrib.handlers.clearml_logger.html).
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example script that uses [ignite](https://github.com/pytorch/ignite) and integrates **ClearMLLogger** and its [helper handlers](https://pytorch.org/ignite/v0.5.0.post2/generated/ignite.handlers.clearml_logger.html).
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PyTorch Ignite supports a `ClearMLLogger` handler to log metrics, text, model / optimizer parameters, plots, and model
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checkpoints during training and validation.
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@@ -196,7 +196,7 @@ object, setting the following optimization parameters:
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## Running as a Service
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The optimization can run as a service, if the `run_as_service` argument is set to `true`. For more information about
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To run the optimization as a service, set the `run_as_service` argument to `true`. For more information about
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running as a service, see [Services Mode](../../../clearml_agent/clearml_agent_services_mode.md).
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```python
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@@ -210,7 +210,7 @@ if args['run_as_service']:
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## Optimize
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The optimizer is ready. Set the report period and [start](../../../references/sdk/hpo_optimization_hyperparameteroptimizer.md#start)
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it, providing the callback method to report the best performance.
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it, providing the callback method to report the best performance:
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```python
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# report every 12 seconds, this is way too often, but we are testing here J
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