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Capitalized examples task name, updated example requirements (#573)

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This commit is contained in:
Rizwan Hasan
2022-02-14 14:18:41 +06:00
committed by GitHub
parent ba2e349d0c
commit b494232134
50 changed files with 59 additions and 57 deletions
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2
examples/frameworks/autokeras/autokeras_imdb_example.py
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@@ -7,7 +7,7 @@ from clearml import Task
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name="autokeras", task_name="autokeras imdb example with scalars")
task = Task.init(project_name="autokeras", task_name="AutoKeras IMDB example with scalars")
def imdb_raw():

2
examples/frameworks/click/click_multi_cmd.py
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@@ -6,7 +6,7 @@ from clearml import Task
@click.option('--print-something/--dont-print-something', default=True)
@click.option('--what-to-print', default='something')
def cli(print_something, what_to_print):
Task.init(project_name='examples', task_name='click multi command')
Task.init(project_name='examples', task_name='Click multi command')
if print_something:
print(what_to_print)

2
examples/frameworks/click/click_single_cmd.py
View File

@@ -7,7 +7,7 @@ from clearml import Task
@click.option('--name', prompt='Your name',
help='The person to greet.')
def hello(count, name):
task = Task.init(project_name='examples', task_name='click single command')
task = Task.init(project_name='examples', task_name='Click single command')
"""Simple program that greets NAME for a total of COUNT times."""
for x in range(count):

2
examples/frameworks/fastai/fastai_with_tensorboard.py
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@@ -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="examples", 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/fire/fire_class_cmd.py
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@@ -17,5 +17,5 @@ class BrokenCalculator(object):
if __name__ == "__main__":
Task.init(project_name="examples", task_name="fire class command")
Task.init(project_name="examples", task_name="Fire class command")
fire.Fire(BrokenCalculator)

2
examples/frameworks/fire/fire_dict_cmd.py
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@@ -14,7 +14,7 @@ def multiply(x, y):
if __name__ == "__main__":
Task.init(project_name="examples", task_name="fire dict command")
Task.init(project_name="examples", task_name="Fire dict command")
fire.Fire(
{
"add": add,

2
examples/frameworks/fire/fire_grouping_cmd.py
View File

@@ -40,5 +40,5 @@ class Pipeline(object):
if __name__ == "__main__":
Task.init(project_name="examples", task_name="fire grouping command")
Task.init(project_name="examples", task_name="Fire grouping command")
fire.Fire(Pipeline)

2
examples/frameworks/fire/fire_multi_cmd.py
View File

@@ -18,5 +18,5 @@ def serve(addr, port, should_serve=False):
if __name__ == "__main__":
Task.init(project_name="examples", task_name="fire multi command")
Task.init(project_name="examples", task_name="Fire multi command")
fire.Fire()

2
examples/frameworks/fire/fire_object_cmd.py
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@@ -14,6 +14,6 @@ class Calculator(object):
if __name__ == "__main__":
Task.init(project_name="examples", task_name="fire object command")
Task.init(project_name="examples", task_name="Fire object command")
calculator = Calculator()
fire.Fire(calculator)

2
examples/frameworks/fire/fire_single_cmd.py
View File

@@ -11,5 +11,5 @@ def hello(count, name="clearml", prefix="prefix_", suffix="_suffix", **kwargs):
if __name__ == "__main__":
Task.init(project_name="examples", task_name="fire single command")
Task.init(project_name="examples", task_name="Fire single command")
fire.Fire(hello)

2
examples/frameworks/hydra/hydra_example.py
View File

@@ -10,7 +10,7 @@ from clearml import Task
@hydra.main(config_path="config_files", config_name="config")
def my_app(cfg):
# type (DictConfig) -> None
task = Task.init(project_name="examples", task_name="hydra configuration")
task = Task.init(project_name="examples", task_name="Hydra configuration")
logger = task.get_logger()
logger.report_text("You can view your full hydra configuration under Configuration tab in the UI")
print(OmegaConf.to_yaml(cfg))

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='examples', 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/frameworks/megengine/megengine_mnist.py
View File

@@ -94,7 +94,7 @@ def train(dataloader, args):
def main():
task = Task.init(project_name="examples", task_name="megengine mnist train") # noqa
task = Task.init(project_name="examples", task_name="MegEngine MNIST train") # noqa
parser = argparse.ArgumentParser(description="MegEngine MNIST Example")
parser.add_argument(

2
examples/frameworks/pytorch-lightning/pytorch_lightning_example.py
View File

@@ -55,7 +55,7 @@ class LitClassifier(pl.LightningModule):
if __name__ == '__main__':
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name="examples", task_name="pytorch lightning mnist example")
task = Task.init(project_name="examples", task_name="PyTorch lightning MNIST example")
pl.seed_everything(0)

2
examples/frameworks/pytorch/pytorch_abseil.py
View File

@@ -113,7 +113,7 @@ def test(args, model, device, test_loader, epoch):
def main(_):
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name="examples", task_name="pytorch mnist train with abseil")
task = Task.init(project_name="examples", task_name="PyTorch MNIST train with abseil")
use_cuda = FLAGS.cuda and torch.cuda.is_available()

2
examples/frameworks/pytorch/pytorch_matplotlib.py
View File

@@ -64,7 +64,7 @@ from clearml import Task
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name='examples', task_name='pytorch with matplotlib example', task_type=Task.TaskTypes.testing)
task = Task.init(project_name='examples', task_name='PyTorch with Matplotlib example', task_type=Task.TaskTypes.testing)
######################################################################

2
examples/frameworks/pytorch/pytorch_mnist.py
View File

@@ -76,7 +76,7 @@ def test(args, model, device, test_loader, epoch):
def main():
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name='examples', task_name='pytorch mnist train')
task = Task.init(project_name='examples', task_name='PyTorch MNIST train')
# Training settings
parser = argparse.ArgumentParser(description='PyTorch MNIST Example')

2
examples/frameworks/pytorch/pytorch_model_update.py
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@@ -23,7 +23,7 @@ def main():
# from here on everything is logged automatically
task = Task.init(
project_name="examples",
task_name="Model update pytorch",
task_name="Model update PyTorch",
auto_connect_frameworks={"pytorch": False},
)
params = {

2
examples/frameworks/pytorch/pytorch_tensorboard.py
View File

@@ -102,7 +102,7 @@ def main():
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name='examples', task_name='pytorch with tensorboard') # noqa: F841
task = Task.init(project_name='examples', task_name='PyTorch with TensorBoard') # noqa: F841
writer = SummaryWriter('runs')
writer.add_text('TEXT', 'This is some text', 0)

8
examples/frameworks/pytorch/requirements.txt
View File

@@ -1,7 +1,9 @@
matplotlib
tensorboardX
tensorboard>=1.14.0
torch>=1.1.0
torchvision>=0.3.0
torch >= 1.1.0 ; python_version >= '3.8'
torch <= 1.5.1 ; python_version < '3.8'
torchvision
tqdm
clearml
jsonschema==3.2.0 ; python_version <= '3.5'
clearml

2
examples/frameworks/pytorch/tensorboard_toy_pytorch.py
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@@ -10,7 +10,7 @@ from clearml import Task
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name='examples', task_name='pytorch tensorboard toy example')
task = Task.init(project_name='examples', task_name='PyTorch TensorBoard toy example')
writer = SummaryWriter(log_dir=os.path.join(gettempdir(), 'tensorboard_logs'))

2
examples/frameworks/scikit-learn/sklearn_joblib_example.py
View File

@@ -14,7 +14,7 @@ from clearml import Task
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name="examples", task_name="scikit-learn joblib example")
task = Task.init(project_name="examples", task_name="Scikit-learn joblib example")
iris = datasets.load_iris()
X = iris.data

2
examples/frameworks/tensorboardx/pytorch_tensorboardX.py
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@@ -102,7 +102,7 @@ def main():
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name='examples', task_name='pytorch with tensorboardX')
task = Task.init(project_name='examples', task_name='PyTorch with tensorboardX')
writer = SummaryWriter('runs')
writer.add_text('TEXT', 'This is some text', 0)

2
examples/frameworks/tensorflow/legacy/tensorboard_pr_curve.py
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@@ -42,7 +42,7 @@ from clearml import Task
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name='examples', task_name='tensorboard pr_curve')
task = Task.init(project_name='examples', task_name='TensorBoard pr_curve')
tf.compat.v1.disable_v2_behavior()
FLAGS = flags.FLAGS

2
examples/frameworks/tensorflow/legacy/tensorboard_toy.py
View File

@@ -12,7 +12,7 @@ from clearml import Task
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name='examples', task_name='tensorboard toy example')
task = Task.init(project_name='examples', task_name='TensorBoard toy example')
k = tf.placeholder(tf.float32)

2
examples/frameworks/tensorflow/legacy/tensorflow_eager.py
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@@ -37,7 +37,7 @@ tf.compat.v1.enable_eager_execution()
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name='examples', task_name='Tensorflow eager mode')
task = Task.init(project_name='examples', task_name='TensorFlow eager mode')
FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_integer('data_num', 100, """Flag of type integer""")

2
examples/frameworks/tensorflow/legacy/tensorflow_mnist_with_summaries.py
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@@ -37,7 +37,7 @@ FLAGS = None
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name='examples', task_name='Tensorflow mnist with summaries example')
task = Task.init(project_name='examples', task_name='TensorFlow MNIST with summaries example')
def train():

2
examples/frameworks/tensorflow/tensorboard_pr_curve.py
View File

@@ -41,7 +41,7 @@ from clearml import Task
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name='examples', task_name='tensorboard pr_curve')
task = Task.init(project_name='examples', task_name='TensorBoard pr_curve')
tf.compat.v1.disable_v2_behavior()
FLAGS = flags.FLAGS

2
examples/frameworks/tensorflow/tensorboard_toy.py
View File

@@ -61,7 +61,7 @@ def generate_summary(k, step):
tf.summary.image("test_rgba", image_rgba, max_outputs=10, step=step)
task = Task.init(project_name='examples', task_name='tensorboard toy example')
task = Task.init(project_name='examples', task_name='TensorbBoard toy example')
# create the tensorboard file writer in a temp folder
writer = tf.summary.create_file_writer(os.path.join(gettempdir(), "toy_tb_example"))

2
examples/frameworks/tensorflow/tensorflow_mnist.py
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@@ -13,7 +13,7 @@ from clearml import Task
# Connecting ClearML with the current process,
# from here on everything is logged automatically
task = Task.init(project_name='examples', task_name='Tensorflow v2 mnist with summaries')
task = Task.init(project_name='examples', task_name='TensorFlow v2 MNIST with summaries')
# Load and prepare the MNIST dataset.

2
examples/frameworks/xgboost/xgboost_metrics.py
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@@ -4,7 +4,7 @@ from sklearn.model_selection import train_test_split
from clearml import Task
task = Task.init(project_name="examples", task_name="xgboost metric auto reporting")
task = Task.init(project_name="examples", task_name="XGBoost metric auto reporting")
X, y = load_iris(return_X_y=True)
X_train, X_test, y_train, y_test = train_test_split(