SuccessfulKoala55 what is task log? you mean the pod log provisioned by clearml-agent? do you want me to show them?

any updates?..

Can you share it?

TartLeopard58 did you include the task log after setting the agent to v1.5.3rc2?

pod log is too long. would it be ok if i upload pod log file here??

heres is the log when executing with --foreground. but is there any difference?

I set CLEARML_AGENT_UPDATE_VERSION=1.5.3rc2 ` in agentk8sglue.basePodTemplate.env as i mentioned

Hi again 😊 SuccessfulKoala55 sure!

is that the working scenario?

I tried using K8S_GLUE_POD_AGENT_INSTALL_ARGS=1.5.3rc2 instead of CLEARML_AGENT_UPDATE_VERSION=1.5.3rc2 , but it’s same. doesn’t read gpu usage.. 🥲

Is that the whole log?

Hi TartLeopard58 , how is the agent running? is it running in k8s as well?

on-premises using an agent?

Try using K8S_GLUE_POD_AGENT_INSTALL_ARGS=1.5.3rc2

because clearml-agnet is not installed in my gke cluster

SuccessfulKoala55 Okay..but how can i specify agent’s verison in helm chart?

SuccessfulKoala55 yes. It only occurs when running on the cloud. It’s fine when running on-premises.

it is working on on-premise machine(i can see gpu usage on WORKERS & QUEUES Dashboard). but it is not working on cloud pod

but it's running, isn't it?

nope. just running “clearml-agent daemon --queue shelley”

root@shelley-gpu-pod:/# clearml-agent daemon --queue shelley2 --foreground
/usr/local/lib/python3.8/dist-packages/requests/init.py:109: RequestsDependencyWarning: urllib3 (2.0.2) or chardet (None)/charset_normalizer (3.1.0) doesn’t match a supported version!
warnings.warn(
Using environment access key CLEARML_API_ACCESS_KEY=“”
Using environment secret key CLEARML_API_SECRET_KEY=********
Current configuration (clearml_agent v1.5.2, location: None):

agent.worker_id =
agent.worker_name = shelley-gpu-pod
agent.force_git_ssh_protocol = false
agent.python_binary =
agent.package_manager.type = pip
agent.package_manager.pip_version.0 = <20.2 ; python_version < ‘3.10’
agent.package_manager.pip_version.1 = <22.3 ; python_version >= ‘3.10’
agent.package_manager.system_site_packages = false
agent.package_manager.force_upgrade = false
agent.package_manager.conda_channels.0 = pytorch
agent.package_manager.conda_channels.1 = conda-forge
agent.package_manager.conda_channels.2 = defaults
agent.package_manager.priority_optional_packages.0 = pygobject
agent.package_manager.torch_nightly = false
agent.package_manager.poetry_files_from_repo_working_dir = false
agent.venvs_dir = /root/.clearml/venvs-builds
agent.venvs_cache.max_entries = 10
agent.venvs_cache.free_space_threshold_gb = 2.0
agent.venvs_cache.path = ~/.clearml/venvs-cache
agent.vcs_cache.enabled = true
agent.vcs_cache.path = /root/.clearml/vcs-cache
agent.venv_update.enabled = false
agent.pip_download_cache.enabled = true
agent.pip_download_cache.path = /root/.clearml/pip-download-cache
agent.translate_ssh = true
agent.reload_config = false
agent.docker_pip_cache = /root/.clearml/pip-cache
agent.docker_apt_cache = /root/.clearml/apt-cache
agent.docker_force_pull = false
agent.default_docker.image = nvidia/cuda:10.2-cudnn7-runtime-ubuntu18.04
agent.enable_task_env = false
agent.hide_docker_command_env_vars.enabled = true
agent.hide_docker_command_env_vars.parse_embedded_urls = true
agent.abort_callback_max_timeout = 1800
agent.docker_internal_mounts.sdk_cache = /clearml_agent_cache
agent.docker_internal_mounts.apt_cache = /var/cache/apt/archives
agent.docker_internal_mounts.ssh_folder = ~/.ssh
agent.docker_internal_mounts.ssh_ro_folder = /.ssh
agent.docker_internal_mounts.pip_cache = /root/.cache/pip
agent.docker_internal_mounts.poetry_cache = /root/.cache/pypoetry
agent.docker_internal_mounts.vcs_cache = /root/.clearml/vcs-cache
agent.docker_internal_mounts.venv_build = ~/.clearml/venvs-builds
agent.docker_internal_mounts.pip_download = /root/.clearml/pip-download-cache
agent.apply_environment = true
agent.apply_files = true
agent.custom_build_script =
agent.disable_task_docker_override = false
agent.default_python = 3.8
agent.cuda_version = 110
agent.cudnn_version = 0
api.version = 1.5
api.verify_certificate = true
api.default_version = 1.5
api.http.max_req_size = 15728640
api.http.retries.total = 240
api.http.retries.connect = 240
api.http.retries.read = 240
api.http.retries.redirect = 240
api.http.retries.status = 240
api.http.retries.backoff_factor = 1.0
api.http.retries.backoff_max = 120.0
api.http.wait_on_maintenance_forever = true
api.http.pool_maxsize = 512
api.http.pool_connections = 512
api.http.default_method = post
api.api_server = “”
api.files_server = “”
api.web_server = “”
api.credentials.access_key = “”
sdk.storage.cache.default_base_dir = ~/.clearml/cache
sdk.storage.cache.size.min_free_bytes = 10GB
sdk.storage.direct_access.0.url = file://*
sdk.metrics.file_history_size = 100
sdk.metrics.matplotlib_untitled_history_size = 100
sdk.metrics.images.format = JPEG
sdk.metrics.images.quality = 87
sdk.metrics.images.subsampling = 0
sdk.metrics.tensorboard_single_series_per_graph = false
sdk.network.metrics.file_upload_threads = 4
sdk.network.metrics.file_upload_starvation_warning_sec = 120
sdk.network.iteration.max_retries_on_server_error = 5
sdk.network.iteration.retry_backoff_factor_sec = 10
sdk.aws.s3.key =
sdk.aws.s3.region =
sdk.aws.boto3.pool_connections = 512
sdk.aws.boto3.max_multipart_concurrency = 16
sdk.log.null_log_propagate = false
sdk.log.task_log_buffer_capacity = 66
sdk.log.disable_urllib3_info = true
sdk.development.task_reuse_time_window_in_hours = 72.0
sdk.development.vcs_repo_detect_async = true
sdk.development.store_uncommitted_code_diff = true
sdk.development.support_stopping = true
sdk.development.default_output_uri =
sdk.development.force_analyze_entire_repo = false
sdk.development.suppress_update_message = false
sdk.development.detect_with_pip_freeze = false
sdk.development.worker.report_period_sec = 2
sdk.development.worker.ping_period_sec = 30
sdk.development.worker.log_stdout = true
sdk.development.worker.report_global_mem_used = false

Worker “shelley-gpu-pod:gpuGPU-207fb7da-a426-da69-7b06-3bc1ec482b7e” - Listening to queues:
+----------------------------------+----------+-------+
| id | name | tags |
+----------------------------------+----------+-------+
| 2b8bfe0dc9ae4a9f9d7bd0dd4f00ae16 | shelley2 | |
+----------------------------------+----------+-------+

No tasks in queue 2b8bfe0dc9ae4a9f9d7bd0dd4f00ae16
No tasks in Queues, sleeping for 5.0 seconds

Also, can you run it with --foreground and send the log again?

It looks like the log was truncated - can you please try to get all the log from running the agent in the cloud machine?

sure! this one?

It also shows on project detail page.

Yes

Are there other people experiencing the same issue as me?

TartLeopard58 the agent running the task is v1.5.2 (as shown in the log), so the whole point is lost - we need to see the v1.5.3rc2 or v1.5.3rc3 running there... how did you set up the helm chart for the new agent?

This is clearml-agent helm chart values.yaml file i used to install