ClearML/clearml
1
0
Fork 0
mirror of https://github.com/clearml/clearml synced 2025-04-26 01:09:45 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

Fix example project name

Browse Source
This commit is contained in:
allegroai 2021-10-03 02:56:42 +03:00
parent 3643446f56
commit 39d8d8f0cb
5 changed files with 5 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
examples/advanced/multiple_tasks_single_process.py
View File

@ -2,7 +2,7 @@ from clearml import Task
for i in range(3):
task = Task.init(project_name="same process, multiple tasks", task_name="Task #{}".format(i))
task = Task.init(project_name="examples", task_name="same process, multiple tasks, Task #{}".format(i))
# Doing Task processing here
print("Task #{} running".format(i))
#

2
examples/frameworks/fastai/fastai_with_tensorboard.py
View File

@ -8,7 +8,7 @@ from clearml import Task
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name="example", task_name="fastai with tensorboard callback")
task = Task.init(project_name="examples", task_name="fastai with tensorboard callback")
path = untar_data(URLs.MNIST_SAMPLE)

2
examples/frameworks/ignite/cifar_ignite.py
View File

@ -19,7 +19,7 @@ from clearml import Task, StorageManager
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name='Image Example', task_name='image classification CIFAR10')
task = Task.init(project_name='examples', task_name='image classification CIFAR10')
params = {'number_of_epochs': 20, 'batch_size': 64, 'dropout': 0.25, 'base_lr': 0.001, 'momentum': 0.9, 'loss_report': 100}
params = task.connect(params) # enabling configuration override by clearml
print(params) # printing actual configuration (after override in remote mode)

2
examples/reporting/artifacts_retrieval.py
View File

@ -8,7 +8,7 @@ from clearml import Task
def main():
# Getting the task we want to get the artifacts from
artifacts_task = Task.get_task(project_name='ClearML Examples', task_name='artifacts example')
artifacts_task = Task.get_task(project_name='examples', task_name='artifacts example')
# getting the numpy object back
numpy_artifact = artifacts_task.artifacts['Numpy Eye'].get()

2
examples/services/monitoring/slack_alerts.py
View File

@ -201,7 +201,7 @@ def main():
# start the monitoring Task
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name='Monitoring', task_name='Slack Alerts', task_type=Task.TaskTypes.monitor)
task = Task.init(project_name='DevOps', task_name='Slack Alerts', task_type=Task.TaskTypes.monitor)
if not args.local:
task.execute_remotely(queue_name=args.service_queue)
# we will not get here if we are running locally