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https://github.com/clearml/clearml-agent
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Initial release
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docs/trains.conf
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235
docs/trains.conf
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# TRAINS-AGENT configuration file
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api {
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api_server: https://demoapi.trainsai.io
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web_server: https://demoapp.trainsai.io
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files_server: https://demofiles.trainsai.io
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# Credentials are generated in the webapp, https://demoapp.trainsai.io/profile
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# Overridden with os environment: TRAINS_API_ACCESS_KEY / TRAINS_API_SECRET_KEY
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credentials {"access_key": "EGRTCO8JMSIGI6S39GTP43NFWXDQOW", "secret_key": "x!XTov_G-#vspE*Y(h$Anm&DIc5Ou-F)jsl$PdOyj5wG1&E!Z8"}
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# verify host ssl certificate, set to False only if you have a very good reason
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verify_certificate: True
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}
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agent {
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# Set GIT user/pass credentials
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# leave blank for GIT SSH credentials
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git_user=""
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git_pass=""
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# unique name of this worker, if None, created based on hostname:process_id
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# Overridden with os environment: TRAINS_WORKER_NAME
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# worker_id: "trains-agent-machine1:gpu0"
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worker_id: ""
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# worker name, replaces the hostname when creating a unique name for this worker
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# Overridden with os environment: TRAINS_WORKER_ID
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# worker_name: "trains-agent-machine1"
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worker_name: ""
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# select python package manager:
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# currently supported pip and conda
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# poetry is used if pip selected and repository contains poetry.lock file
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package_manager: {
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# supported options: pip, conda
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type: pip,
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# virtual environment inheres packages from system
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system_site_packages: false,
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# install with --upgrade
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force_upgrade: false,
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# additional artifact repositories to use when installing python packages
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# extra_index_url: ["https://allegroai.jfrog.io/trainsai/api/pypi/public/simple"]
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extra_index_url: []
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# additional conda channels to use when installing with conda package manager
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conda_channels: ["pytorch", "conda-forge", ]
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},
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# target folder for virtual environments builds, created when executing experiment
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venvs_dir = ~/.trains/venvs-builds
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# cached git clone folder
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vcs_cache: {
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enabled: true,
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path: ~/.trains/vcs-cache
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},
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# use venv-update in order to accelerate python virtual environment building
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# Still in beta, turned off by default
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venv_update: {
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enabled: false,
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},
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# cached folder for specific python package download (mostly pytorch versions)
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pip_download_cache {
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enabled: true,
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path: ~/.trains/pip-download-cache
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},
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translate_ssh: true,
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# reload configuration file every daemon execution
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reload_config: false,
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# pip cache folder used mapped into docker, for python package caching
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docker_pip_cache = ~/.trains/pip-cache
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# apt cache folder used mapped into docker, for ubuntu package caching
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docker_apt_cache = ~/.trains/apt-cache
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default_docker: {
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# default docker image to use when running in docker mode
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image: "nvidia/cuda"
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# optional arguments to pass to docker image
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# arguments: ["--ipc=host"]
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}
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}
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sdk {
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# TRAINS - default SDK configuration
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storage {
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cache {
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# Defaults to system temp folder / cache
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default_base_dir: "~/.trains/cache"
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}
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direct_access: [
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# Objects matching are considered to be available for direct access, i.e. they will not be downloaded
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# or cached, and any download request will return a direct reference.
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# Objects are specified in glob format, available for url and content_type.
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{ url: "file://*" } # file-urls are always directly referenced
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]
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}
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metrics {
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# History size for debug files per metric/variant. For each metric/variant combination with an attached file
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# (e.g. debug image event), file names for the uploaded files will be recycled in such a way that no more than
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# X files are stored in the upload destination for each metric/variant combination.
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file_history_size: 100
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# Settings for generated debug images
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images {
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format: JPEG
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quality: 87
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subsampling: 0
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}
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}
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network {
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metrics {
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# Number of threads allocated to uploading files (typically debug images) when transmitting metrics for
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# a specific iteration
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file_upload_threads: 4
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# Warn about upload starvation if no uploads were made in specified period while file-bearing events keep
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# being sent for upload
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file_upload_starvation_warning_sec: 120
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}
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iteration {
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# Max number of retries when getting frames if the server returned an error (http code 500)
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max_retries_on_server_error: 5
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# Backoff factory for consecutive retry attempts.
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# SDK will wait for {backoff factor} * (2 ^ ({number of total retries} - 1)) between retries.
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retry_backoff_factor_sec: 10
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}
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}
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aws {
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s3 {
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# S3 credentials, used for read/write access by various SDK elements
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# default, used for any bucket not specified below
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key: ""
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secret: ""
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region: ""
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credentials: [
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# specifies key/secret credentials to use when handling s3 urls (read or write)
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# {
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# bucket: "my-bucket-name"
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# key: "my-access-key"
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# secret: "my-secret-key"
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# },
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# {
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# # This will apply to all buckets in this host (unless key/value is specifically provided for a given bucket)
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# host: "my-minio-host:9000"
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# key: "12345678"
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# secret: "12345678"
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# multipart: false
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# secure: false
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# }
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]
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}
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boto3 {
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pool_connections: 512
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max_multipart_concurrency: 16
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}
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}
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google.storage {
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# # Default project and credentials file
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# # Will be used when no bucket configuration is found
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# project: "trains"
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# credentials_json: "/path/to/credentials.json"
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# # Specific credentials per bucket and sub directory
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# credentials = [
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# {
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# bucket: "my-bucket"
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# subdir: "path/in/bucket" # Not required
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# project: "trains"
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# credentials_json: "/path/to/credentials.json"
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# },
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# ]
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}
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azure.storage {
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# containers: [
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# {
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# account_name: "trains"
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# account_key: "secret"
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# # container_name:
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# }
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# ]
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}
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log {
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# debugging feature: set this to true to make null log propagate messages to root logger (so they appear in stdout)
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null_log_propagate: False
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task_log_buffer_capacity: 66
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# disable urllib info and lower levels
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disable_urllib3_info: True
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}
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development {
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# Development-mode options
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# dev task reuse window
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task_reuse_time_window_in_hours: 72.0
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# Run VCS repository detection asynchronously
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vcs_repo_detect_async: True
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# Store uncommitted git/hg source code diff in experiment manifest when training in development mode
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# This stores "git diff" or "hg diff" into the experiment's "script.requirements.diff" section
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store_uncommitted_code_diff_on_train: True
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# Support stopping an experiment in case it was externally stopped, status was changed or task was reset
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support_stopping: True
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# Development mode worker
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worker {
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# Status report period in seconds
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report_period_sec: 2
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# ping to the server - check connectivity
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ping_period_sec: 30
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# Log all stdout & stderr
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log_stdout: True
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}
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}
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}
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