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Small edits (#430)
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pollfly
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@ -77,8 +77,8 @@ The minimum requirements for ClearML Server are:
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* Stop and then restart the Docker containers by executing the following commands:
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docker-compose -f /opt/clearml/docker-compose.yml down
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docker-compose -f /opt/clearml/docker-compose.yml up -d
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docker-compose -f /opt/clearml/docker-compose.yml down
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docker-compose -f /opt/clearml/docker-compose.yml up -d
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## Backing Up and Restoring Data and Configuration
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@ -76,15 +76,15 @@ Deploying the server requires a minimum of 4 GB of memory, 8 GB is recommended.
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* Linux:
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echo "vm.max_map_count=262144" > /tmp/99-clearml.conf
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sudo mv /tmp/99-clearml.conf /etc/sysctl.d/99-clearml.conf
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sudo sysctl -w vm.max_map_count=262144
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sudo service docker restart
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echo "vm.max_map_count=262144" > /tmp/99-clearml.conf
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sudo mv /tmp/99-clearml.conf /etc/sysctl.d/99-clearml.conf
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sudo sysctl -w vm.max_map_count=262144
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sudo service docker restart
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* macOS:
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screen ~/Library/Containers/com.docker.docker/Data/vms/0/tty
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sysctl -w vm.max_map_count=262144
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screen ~/Library/Containers/com.docker.docker/Data/vms/0/tty
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sysctl -w vm.max_map_count=262144
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1. Remove any previous installation of ClearML Server.
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@ -150,8 +150,8 @@ After deploying ClearML Server, the services expose the following ports:
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* Stop and then restart the Docker containers by executing the following commands:
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docker-compose -f /opt/clearml/docker-compose.yml down
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docker-compose -f /opt/clearml/docker-compose.yml up -d
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docker-compose -f /opt/clearml/docker-compose.yml down
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docker-compose -f /opt/clearml/docker-compose.yml up -d
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@ -178,11 +178,11 @@ If needed, restore data and configuration by doing the following:
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* Linux:
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sudo chown -R 1000:1000 /opt/clearml
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sudo chown -R 1000:1000 /opt/clearml
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* macOS:
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sudo chown -R $(whoami):staff /opt/clearml
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sudo chown -R $(whoami):staff /opt/clearml
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## Next Step
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* [Configuring ClearML for ClearML Server](clearml_config_for_clearml_server.md).
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@ -74,8 +74,8 @@ After deploying ClearML Server, the services expose the following node ports:
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* Stop and then restart the Docker containers by executing the following commands:
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docker-compose -f c:\opt\clearml\docker-compose-win10.yml down
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docker-compose -f c:\opt\clearml\docker-compose-win10.yml up -d
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docker-compose -f c:\opt\clearml\docker-compose-win10.yml down
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docker-compose -f c:\opt\clearml\docker-compose-win10.yml up -d
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## Next Step
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@ -42,7 +42,7 @@ For backwards compatibility, the environment variables ``TRAINS_HOST_IP``, ``TRA
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1. If upgrading from **Trains Server** to **ClearML Server**, rename `/opt/trains` and its subdirectories to `/opt/clearml`.
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sudo mv /opt/trains /opt/clearml
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sudo mv /opt/trains /opt/clearml
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1. Download the latest `docker-compose.yml` file.
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@ -374,7 +374,7 @@ to run if the trigger is triggered, which is in this case `training_task.id` is
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task. We have the schedule queue, so we want to obviously schedule it in any of the queues. We can use CPU queue in
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this case, and then we can give it a name as well. And just to make it clear that this training is not actually training
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from Alice herself, but it's training on the new data of Bob. It's an automated training. We can give it a specific name
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so that Alice knows this was triggered automatically, and then we can use `trigger_on_tags` where we should look to to
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so that Alice knows this was triggered automatically, and then we can use `trigger_on_tags` where we should look to
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actually trigger the trigger. Damn this is a lot of trigger.
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So what happens here is we look in the Project Bob folder and then if a new tag production is found that wasn't there
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@ -103,7 +103,7 @@ title: Version 1.2
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- Fix extra_layout not passed to report_matrix [ClearML GitHub issue #559](https://github.com/allegroai/clearml/issues/559)
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- Fix group arguments in click [ClearML GitHub PR #561](https://github.com/allegroai/clearml/pull/561)
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- Fix no warning when failing to patch argparse [ClearML GitHub PR #576](https://github.com/allegroai/clearml/pull/576)
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- Fix crash in Dataset.upload() when there is nothing to upload [ClearML GitHub PR #579](https://github.com/allegroai/clearml/pull/579)
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- Fix crash in `Dataset.upload()` when there is nothing to upload [ClearML GitHub PR #579](https://github.com/allegroai/clearml/pull/579)
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- Fix requirements, refactor and reformat examples [ClearML GitHub PR #567](https://github.com/allegroai/clearml/pull/567), [#573](https://github.com/allegroai/clearml/pull/573), [#582](https://github.com/allegroai/clearml/pull/582)
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- Auto-scaler
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- Change confusing log message
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@ -52,12 +52,12 @@ title: Version 1.3
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**Bug Fixes**
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* Update Slack SDK requirement [ClearML GitHub issue #597](https://github.com/allegroai/clearml/issues/597)
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* Fix fork after task.close() is called [ClearML GitHub issue #605](https://github.com/allegroai/clearml/issues/605)
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* Fix fork after `task.close()` is called [ClearML GitHub issue #605](https://github.com/allegroai/clearml/issues/605)
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* Fix Azure storage upload [ClearML GitHub issue #598](https://github.com/allegroai/clearml/issues/598)
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* Fix offline mode crash
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* Fix task delete response not checked
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* Fix pipeline controller kwargs with list
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* Fix PipelineDecorator.debug_pipeline()
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* Fix `PipelineDecorator.debug_pipeline()`
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* Fix PipelineDecorator example
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* Fix Python 3.10 issues
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* Fix handling of legacy fileserver (files.community.clear.ml)
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@ -93,14 +93,14 @@ title: Version 1.4
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* Fix uploading 3D plots with matplotlib plt shows 2D plot on task results page
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* Fix wrong Histogram plotting using when matplotlib
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* Fix PyTorch `ScriptModule` autobind
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* Fix PyTorch auto-magic logging torchscript models
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* Fix PyTorch auto-magic logging TorchScript models
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* Fix forked process will not call `_at_exit` and flush all outstanding reports
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* Fix matplotlib to plotly conversion fails on subplots (convert as image if figure has subplots)
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* Fix Windows sub process might end up waiting forever for uploads to finish if subprocess is very shot lived
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* Fix `StorageManager.get_local_copy()` returning None for a valid path in Windows
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* Fix Jupyter notebook cannot be detected
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* Fix PipelineController does not change node Task name, only pipeline step name
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* Fix Task.query_tasks() specifying page size or page number
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* Fix `Task.query_tasks()` specifying page size or page number
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### ClearML Server 1.4.0
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@ -97,7 +97,8 @@ function Home() {
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return (
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<Layout
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title={`Hello from ${siteConfig.title}`}
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description="Description will go into a meta tag in <head />">
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description="Turn your code into MLOps with only 2 lines of code with ClearML! Easily develop, orchestrate, and automate ML workflows at scale"
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>
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<header className={clsx('hero hero--primary', styles.heroBanner)}>
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<div className="container">
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