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Unanswered
Hi All, I'Ve Successfully Run A Task Locally, And Now I'M Trying To Clone It And Send It To A Queue. It Looks Like The Environment Is Built Successfully, But It Hangs Here:


Hi @<1523701205467926528:profile|AgitatedDove14> , I reordered the imports:

from clearml import Task

print("Before task")

task = Task.init(project_name="ClearML Testing", task_name="FMNIST")
task.set_repo(
    repo="git@ssh.dev.azure.com:v3/mclarenracing/Application%20Engineering/ml-queue-test"
)
task.set_packages("requirements.txt")

print("After task")

print("Before import")

from pathlib import Path

import hydra
import lightning as L
import torch
from coolname import generate_slug
from omegaconf import DictConfig

from src.datasets import JobDataModule
from src.models import JobModel
from src.utils import LogSummaryCallback, get_num_steps, prepare_loggers_and_callbacks


for i in range(torch.cuda.device_count()):
    print(torch.cuda.get_device_properties(i).name)

And here's the output:

Environment setup completed successfully
Starting Task Execution:
Before task

Still looks like it's getting stuck at Task.init

  
  
Posted one month ago
26 Views
0 Answers
one month ago
one month ago