clearml-docs/docs/clearml_agent/clearml_agent_execute.md

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2022-08-15 14:31:02 +00:00
---
title: execute
---
This reference page provides detailed information about ClearML Agent's `execute` subcommand, which you can use to
build and execute an experiment without a queue.
## Syntax
```bash
clearml-agent execute [-h] --id TASK_ID [--log-file LOG_FILE] [--disable-monitoring]
[--full-monitoring] [--require-queue]
[--standalone-mode] [--docker [DOCKER [DOCKER ...]]] [--clone]
[-O] [--git-user GIT_USER] [--git-pass GIT_PASS]
[--log-level {DEBUG,INFO,WARN,WARNING,ERROR,CRITICAL}]
[--gpus GPUS] [--cpu-only]
```
## Arguments
---
**`id`** (*mandatory*)
* The ID of the Task to build.
---
**`clone`**
* Clone the Task specified by `id`, and then execute that cloned Task.
---
**`cpu-only`**
* Disable GPU access for the daemon, only use CPU in either docker or virtual environment.
---
**`docker`**
* Run in Docker mode. Execute the Task inside a Docker container.
To specify the image name and optional arguments, either:
* use `--docker <image_name> <args>` on the command line, or
* use `--docker` on the command line, and specify the default image name and arguments in the configuration file.
Environment variable settings for Dockers containers:
* `ClearML_DOCKER_SKIP_GPUS_FLAG` - Ignore the `gpus` flag inside the Docker container. This also allows you to execute **ClearML Agent** using Docker versions earlier than 19.03.
* `NVIDIA_VISIBLE_DEVICES` - Limit GPU visibility for the Docker container.
* `ClearML_AGENT_GIT_USER` and `ClearML_AGENT_GIT_PASS` - Pass these credentials to the Docker container at execution.
---
**`disable-monitoring`**
* Disable logging and monitoring, except for stdout.
---
**`full-monitoring`**
* Create a full log, including the environment setup log, Task log, and monitoring, as well as stdout.
---
**`git-pass`**
* Git password for repository access.
---
**`git-user`**
* Git username for repository access.
---
**`gpus`**
* Specify active GPUs for the daemon to use (docker / virtual environment), Equivalent to setting
`NVIDIA_VISIBLE_DEVICES`. Examples: `--gpus 0` or `--gpu 0,1,2` or `--gpus all`
---
**`h`, `help`**
* Get help for this command.
---
**`log-file`**
* The log file for Task execution output (stdout / stderr) to a text file.
---
**`log-level`**
* SDK log level. The values are:
* `DEBUG`
* `INFO`
* `WARN`
* `WARNING`
* `ERROR`
* `CRITICAL`
---
**`O`**
* Compile optimized pyc code (see python documentation). Repeat for more optimization.
---
**`require-queue`**
* If the specified task is not queued (in any Queue), the execution will fail. (Used for 3rd party scheduler
integration, e.g. K8s, SLURM, etc.)
---
**`standalone-mode`**
* Do not use any network connects, assume everything is pre-installed