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StickyCoyote36
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3 Questions, 6 Answers
  Active since 10 January 2023
  Last activity one year ago

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6 × Eureka!
0 Votes
7 Answers
522 Views
0 Votes 7 Answers 522 Views
Hi, I’m trying to bypass Task’s “installed packages” and require an installation of my repo’s requirements.txt . I’ve set agent.package_manager.force_repo_re...
2 years ago
0 Votes
4 Answers
583 Views
0 Votes 4 Answers 583 Views
Hi, I’m trying to minimize startup time for my training tasks, I’ve set docker_install_opencv_libs: false what else can I do?
2 years ago
0 Votes
2 Answers
525 Views
0 Votes 2 Answers 525 Views
Hi, I get these errors for TriggerScheduler: ClearML results page: {some URL} Failed deserializing configuration: the JSON object must be str, bytes or bytea...
2 years ago
0 Hi, I’M Trying To Bypass Task’S “Installed Packages” And Require An Installation Of My Repo’S

It’s installing them both, I just got it to ignore installed packages by adding Task.force_requirements_env_freeze(requirements_file='requirements.txt') but I’d like a more general solution (i.e. not have to add that line before every Task.init(..) )

2 years ago
0 Hi, I’M Trying To Minimize Startup Time For My Training Tasks, I’Ve Set

One more question, it looks like clearml is ignoring my base_docker specification in clearml.conf , I have:
` (...) # cat ~/clearml.conf | grep -A 2 default_docker

default_docker: {
# default docker image to use when running in docker mode
image: "clearml-base" but on task exectution I get: Running Task (...) inside default docker: nvidia/cuda:11.2.0-cudnn8-runtime-ubuntu20.04 arguments: ... `

2 years ago
0 Hi, I’M Trying To Minimize Startup Time For My Training Tasks, I’Ve Set

I restarted clearml after changing the config file as instructed at https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_linux_mac/#restarting

docker-compose -f /opt/clearml/docker-compose.yml down docker-compose -f /opt/clearml/docker-compose.yml up -d

2 years ago
0 Hi, I’M Trying To Bypass Task’S “Installed Packages” And Require An Installation Of My Repo’S

It’s because I have an M1 chip and can’t install the latest tensorflow version locally

2 years ago