mirror of
https://github.com/clearml/clearml
synced 2025-01-31 17:17:00 +00:00
34 lines
950 B
Python
34 lines
950 B
Python
|
# ClearML - Fastai example code, automatic logging the model and scalars
|
||
|
|
#
|
||
|
|
import argparse
|
||
|
|
|
||
|
|
from clearml import Task
|
||
|
|
|
||
|
|
import fastai
|
||
|
|
|
||
|
|
try:
|
||
|
|
from fastai.vision import untar_data, URLs, ImageDataBunch, rand_pad, imagenet_stats, cnn_learner, models, accuracy
|
||
|
|
except ImportError:
|
||
|
|
raise ImportError("FastAI version %s imported, but this example is for FastAI v1." % fastai.__version__)
|
||
|
|
|
||
|
|
|
||
|
|
def main(epochs):
|
||
|
|
Task.init(project_name="examples", task_name="fastai v1")
|
||
|
|
|
||
|
|
path = untar_data(URLs.MNIST_SAMPLE)
|
||
|
|
|
||
|
|
data = ImageDataBunch.from_folder(path, ds_tfms=(rand_pad(2, 28), []), bs=64, num_workers=0)
|
||
|
|
data.normalize(imagenet_stats)
|
||
|
|
|
||
|
|
learn = cnn_learner(data, models.resnet18, metrics=accuracy)
|
||
|
|
|
||
|
|
accuracy(*learn.get_preds())
|
||
|
|
learn.fit_one_cycle(epochs, 0.01)
|
||
|
|
|
||
|
|
|
||
|
|
if __name__ == "__main__":
|
||
|
|
parser = argparse.ArgumentParser()
|
||
|
|
parser.add_argument("--epochs", default=3)
|
||
|
|
args = parser.parse_args()
|
||
|
|
main(args.epochs)
|