Apologies for the delay.
I have obfuscated the private information with XXX . Let me know if you think any of it is relevant.
{"gcp_project_id":"XXX","gcp_zone":"XXX","subnetwork":"XXX","gcp_credentials":"{\n \"type\": \"service_account\",\n \"project_id\": \"XXX\",\n \"private_key_id\": \"XXX\",\n \"private_key\": \"XXX\",\n \"client_id\": \"XXX\",\n \"auth_uri\": \"XXX\",\n \"token_uri\": \"XXX\",\n \"auth_provider_x509_cert_url\": \"XXX\",\n \"client_x509_cert_url\": \"XXX\",\n \"universe_domain\": \"XXX\"\n}","git_user":"XXX","git_pass":"XXX","default_docker_image":"XXX","instance_queue_list":[{"resource_name":"gcp-cpu-e2-highmem-4-ondemand","machine_type":"e2-highmem-4","cpu_only":true,"gpu_type":"nvidia-tesla-a100","gpu_count":0,"preemptible":false,"regular_instance_rollback":false,"regular_instance_rollback_timeout":10,"spot_instance_blackout_period":0,"num_instances":12,"queue_name":"gcp-cpu-e2-highmem-4-ondemand","source_image":"projects/deeplearning-platform-release/global/images/common-cpu-v20231105-ubuntu-2004-py310","disk_size_gb":100,"service_account_email":"default"},{"resource_name":"gcp-cpu-e2-medium-ondemand","machine_type":"e2-medium","cpu_only":true,"gpu_type":null,"gpu_count":0,"preemptible":false,"regular_instance_rollback":false,"regular_instance_rollback_timeout":10,"spot_instance_blackout_period":0,"num_instances":10,"queue_name":"gcp-cpu-e2-medium-ondemand","source_image":"projects/deeplearning-platform-release/global/images/common-cpu-v20231105-ubuntu-2004-py310","disk_size_gb":50,"service_account_email":"default"}],"name":"CPU Autoscaler","max_idle_time_min":60,"workers_prefix":"dynamic_gcp_cpu","polling_interval_time_min":"1","alert_on_multiple_workers_per_task":true,"exclude_bashrc":false,"custom_script":"XXX","extra_clearml_conf":"agent.extra_docker_arguments: [\"--ipc=host\", ]\n\nsdk.development.log_os_environments: [\"AWS_\"]\n\nagent.apply_environment: true\n\nenvironment {\n XXX\n XXX\n}\n\n\nsdk {\n aws {\n s3 {\n credentials: [\n {\n bucket: \"XXX\"\n key: \"XXX\"\n secret: \"XXX\"\n }\n ]\n }\n boto3 {\n pool_connections: 512\n max_multipart_concurrency: 16\n }\n }\n \n development {\n worker {\n report_event_flush_threshold: 1000\n }\n }\n}\n\nagent {\n default_docker: {\n arguments: [\"--shm-size\", \"12G\", \"-p\", \"5000:5000\"]\n }\n}"}
Hi @<1529271085315395584:profile|AmusedCat74> , thanks for reporting this, I'll ask the ClearML team to look into this
Let me know if you need additional information.
@<1529271085315395584:profile|AmusedCat74> can you share the autoscaler configuration?
@<1529271085315395584:profile|AmusedCat74> ?
I see you have two resources defined there - can you simply click on the triple-dot icon on the autoscaler instance and choose "Export Configuration", than share it here? (please note to remove any credentials from the generated file)