# ClearML SDK configuration file - Please use ~/clearml.conf

api {

# web_server on port 8080

web_server: "http://localhost:8080"

# Notice: 'api_server' is the api server (default port 8008), not the web server.

api_server: "http://localhost:8008"

# file server on port 8081

files_server: "http://localhost:8081"

# Credentials are generated using the webapp, http://localhost:8080/settings/workspace-configuration

credentials {"access_key": "EGRTCO8JMSIGI6S39GTP43NFWXDQOW", "secret_key": "x!XTov_G-#vspE*Y(h$Anm&DIc5Ou-F)jsl$PdOyj5wG1&E!Z8"}

# verify host ssl certificate, set to False only if you have a very good reason

verify_certificate: True

}

sdk {

# ClearML - default SDK configuration

storage {

cache {

# Defaults to <system_temp_folder>/clearml_cache

default_base_dir: "~/.clearml/cache"

}

}

metrics {

# History size for debug files per metric/variant. For each metric/variant combination with an attached file

# (e.g. debug image event), file names for the uploaded files will be recycled in such a way that no more than

# X files are stored in the upload destination for each metric/variant combination.

file_history_size: 100

# Max history size for matplotlib imshow files per plot title.

# File names for the uploaded images will be recycled in such a way that no more than

# X images are stored in the upload destination for each matplotlib plot title.

matplotlib_untitled_history_size: 100

# Limit the number of digits after the dot in plot reporting (reducing plot report size)

# plot_max_num_digits: 5

# Settings for generated debug images

images {

format: JPEG

quality: 87

subsampling: 0

}

# Support plot-per-graph fully matching Tensorboard behavior (i.e. if this is set to true, each series should have its own graph)

tensorboard_single_series_per_graph: false

}

network {

metrics {

# Number of threads allocated to uploading files (typically debug images) when transmitting metrics for

# a specific iteration

file_upload_threads: 4

# Warn about upload starvation if no uploads were made in specified period while file-bearing events keep

# being sent for upload

file_upload_starvation_warning_sec: 120

}

iteration {

# Max number of retries when getting frames if the server returned an error (http code 500)

max_retries_on_server_error: 5

# Backoff factor for consecutive retry attempts.

# SDK will wait for {backoff factor} * (2 ^ ({number of total retries} - 1)) between retries.

retry_backoff_factor_sec: 10

}

}

aws {

s3 {

# S3 credentials, used for read/write access by various SDK elements

# Default, used for any bucket not specified below

region: ""

# Specify explicit keys

key: ""

secret: ""

# Or enable credentials chain to let Boto3 pick the right credentials.

# This includes picking credentials from environment variables,

# credential file and IAM role using metadata service.

# Refer to the latest Boto3 docs

use_credentials_chain: false

credentials: [

# specifies key/secret credentials to use when handling s3 urls (read or write)

# {

# bucket: "my-bucket-name"

# key: "my-access-key"

# secret: "my-secret-key"

# },

# {

# # This will apply to all buckets in this host (unless key/value is specifically provided for a given bucket)

# host: "my-minio-host:9000"

# key: "12345678"

# secret: "12345678"

# multipart: false

# secure: false

# }

]

}

boto3 {

pool_connections: 512

max_multipart_concurrency: 16

multipart_threshold: 8388608 # 8MB

multipart_chunksize: 8388608 # 8MB

}

}

google.storage {

# # Default project and credentials file

# # Will be used when no bucket configuration is found

# project: "clearml"

# credentials_json: "/path/to/credentials.json"

# # Specific credentials per bucket and sub directory

# credentials = [

# {

# bucket: "my-bucket"

# subdir: "path/in/bucket" # Not required

# project: "clearml"

# credentials_json: "/path/to/credentials.json"

# },

# ]

}

azure.storage {

# containers: [

# {

# account_name: "clearml"

# account_key: "secret"

# # container_name:

# }

# ]

}

log {

# debugging feature: set this to true to make null log propagate messages to root logger (so they appear in stdout)

null_log_propagate: false

task_log_buffer_capacity: 66

# disable urllib info and lower levels

disable_urllib3_info: true

}

development {

# Development-mode options

# dev task reuse window

task_reuse_time_window_in_hours: 72.0

# Run VCS repository detection asynchronously

vcs_repo_detect_async: true

# Store uncommitted git/hg source code diff in experiment manifest when training in development mode

# This stores "git diff" or "hg diff" into the experiment's "script.requirements.diff" section

store_uncommitted_code_diff: true

store_code_diff_from_remote: false

# Support stopping an experiment in case it was externally stopped, status was changed or task was reset

support_stopping: true

# Default Task output_uri. if output_uri is not provided to Task.init, default_output_uri will be used instead.

default_output_uri: ""

# Default auto generated requirements optimize for smaller requirements

# If True, analyze the entire repository regardless of the entry point.

# If False, first analyze the entry point script, if it does not contain other to local files,

# do not analyze the entire repository.

force_analyze_entire_repo: false

# If set to true, *clearml* update message will not be printed to the console

# this value can be overwritten with os environment variable CLEARML_SUPPRESS_UPDATE_MESSAGE=1

suppress_update_message: false

# If this flag is true (default is false), instead of analyzing the code with Pigar, analyze with `pip freeze`

detect_with_pip_freeze: false

detect_with_conda_freeze: false

# Log specific environment variables. OS environments are listed in the "Environment" section

# of the Hyper-Parameters.

# multiple selected variables are supported including the suffix '*'.

# For example: "AWS_*" will log any OS environment variable starting with 'AWS_'.

# This value can be overwritten with os environment variable CLEARML_LOG_ENVIRONMENT="[AWS_*, CUDA_VERSION]"

# Example: log_os_environments: ["AWS_*", "CUDA_VERSION"]

log_os_environments: []

# Development mode worker

worker {

# Status report period in seconds

report_period_sec: 2

# ping to the server - check connectivity

ping_period_sec: 30

# Log all stdout & stderr

log_stdout: true

# compatibility feature, report memory usage for the entire machine

# default (false), report only on the running process and its sub-processes

report_global_mem_used: false

}

}

}